Icehouseventures

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role As a software engineer for Wayve's Simulation Technology team, you will be an expert software engineer who evolves a core component of Wayve's simulation platform, which is used to develop and evaluate Wayve's driving intelligence. Wayve's approach to autonomous driving presents unique challenges for simulation. Our end to end driving stack requires a simulator that is both highly realistic and highly descriptive. Our approach to simulation brings together a combination of classical simulation techniques with cutting edge developments in machine learning to represent the real world in high fidelity at scale. You will be responsible for shaping and implementing the technical roadmap in one of three key areas: robot emulator fidelity, visual fidelity, or efficient scaling. You will be working closely with our robotics, research, platform, and data teams, as well as the rest of the Simulation Technology team to ensure that our simulation platform meets the needs of our end-users by providing accurate, scalable, and high signal simulations. Challenges you will own Own key performance indicators (KPIs) for simulator cost, SLOs, throughput, latency, etc. Work cross-company on aligning technical dependencies for simulator implementation Lead technical discussions and guide technical direction Effectively integrate the components of the simulated robot into the simulation platform Effectively integrate machine learned graphics subsystems into the simulation platform Implement production quality software in Python About you Essential Experience with workflow orchestration systems (e.g. Airflow, Dagster, Flyte, etc.) and/or developing data intensive applications Excellent development skills in Python Deep knowledge of Kubernetes at the user level Good sense of systems and data oriented software engineering design - what makes code reusable and extensible Understanding of common software performance issues and design tradeoffs 5+ years of industry experience designing and programming software Excellent communication and people engagement skills Desirable Experience in the field of autonomous vehicles or robotics Proficiency with other programming languages like Go or C++ Experience scaling simulations or data intensive workloads Experience with design, implementation, and optimization of large scale machine learning inference systems running in cloud GPU environments Experience operating and scaling modern machine learned graphics techniques (NeRF, Gaussian Splatting, or GenAI) This is a full time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve. DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non discriminatory.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role As a Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale). This is a founding Cloud SRE role. You won't inherit a mature SRE function, you'll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale. This role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant. Key responsibilities Reliability & Platform Ownership Own the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments. Define and operationalise SLOs, SLIs, and error budgets across platform services. Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters. Partner with ML, platform, and software teams to establish clear production readiness standards. Incident Response & On-Call Participate in a 24/7 on-call rotation as first-line response for cloud and cluster-related incidents. Lead incident triage, escalation, communications, and root cause analysis. Translate post-incident learning into durable architectural or automation improvements. Continuously reduce alert noise and recurring operational burden. Observability & Operational Excellence Design and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery. Build dashboards that reflect real user-centric platform health (not just infrastructure metrics). Improve deployment safety through better change management, validation, and rollback mechanisms. Automation & Tooling Build automation for cluster operations, training workflows, remediation, and scaling tasks. Implement self healing patterns and resilient recovery workflows. Harden CI/CD and release processes to improve deployment safety and velocity. Support infrastructure as code and policy driven guardrails to ensure secure, reliable cloud environments. About you In order to set you up for success as a Cloud Site Reliability Engineer at Wayve, we're looking for the following skills and experience. Essential skills Proven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems. Strong Kubernetes experience, including operating production clusters. Hands on experience running production workloads in AWS, GCP, or Azure. Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads. Experience working with large compute clusters; exposure to AI/ML training or inference workloads strongly preferred. Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g., Python, Go, C++) with a bias toward automation. Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale. Experience designing and operating observability stacks (e.g., Datadog, Prometheus, Grafana, OpenTelemetry). Clear communication skills, including leading incidents, writing post mortems, and influencing teams to prioritise reliability improvements. Desirable skills Experience operating GPU backed environments or large scale ML infrastructure. Experience running model training or inference pipelines in production (MLOps). Familiarity with infrastructure as code (e.g., Terraform) and secure cloud production environments. Experience defining and running SLOs/SLIs and building reliability programs across multiple teams. Experience as an early or founding SRE hire establishing processes from scratch. Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time. This is a full time role based in our office in London (2 days a week in the office). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. About Us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. The role This is a high impact Fullstack Engineer opportunity to build and own a new internal web application that becomes the single go to place for teams to browse computer vision models, run them on data subsets, and explore results. You will partner directly with internal users to shape workflows and ship an MVP quickly, then iterate based on real feedback. As the first dedicated Fullstack hire in Corpus & Enrichment, you will set the standard for maintainable, scalable UI engineering that accelerates model development and data labelling workflows across the business. Key Responsibilities Lead discovery with internal stakeholders to define user workflows, UX, and requirements for Enrichment Shop Build, ship, and iterate the Enrichment Shop product end to end using React/TypeScript and established backend web frameworks Integrate the frontend with existing systems and APIs (including Databricks backed workflows and internal services) Incorporate user feedback into delivery planning and help define lightweight expectations/SLAs for an internal tool Build for long term maintainability by writing clear, testable code and enabling others to contribute and support the system Essential Strong JavaScript and TypeScript experience, with React as the preferred frontend direction Proven track record delivering a full web application, ideally owning work end to end in production Experience integrating with existing backend systems and APIs, and working effectively in an established codebase Able to operate independently, partnering directly with internal stakeholders and building pragmatic, maintainable, testable solutions Desirable Experience with established web frameworks (for example Next.js or similar) Some full stack exposure, including working close to backend services (Python/Django REST exposure a plus) Experience building internal tools and running a tight feedback loop with users, including setting lightweight expectations/SLAs This is a full time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. Note: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Icehouseventures is seeking a Staff Cloud Site Reliability Engineer to shape the reliability of large-scale AI systems and GPU compute infrastructure. This founding role involves building and scaling reliability foundations for the AI cloud platform and ensuring cloud infrastructure resilience. Responsibilities include operationalizing SLOs, improving incident response, and creating automation for operations. The position offers a hybrid work model, encouraging collaboration in the London office while allowing remote work.

The role This is a rare opportunity to be a founding Staff SRE shaping the reliability of large-scale AI systems and GPU compute infrastructure from the ground up. As a Staff Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale). This is a founding Cloud SRE role. You won't inherit a mature SRE function, you'll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale. This role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant. Key responsibilities Reliability & Platform Ownership Own the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments. Define and operationalise SLOs, SLIs, and error budgets across platform services. Improve capacity planning, scaling strategies, and resource efficiency across large GPU backed clusters. Partner with ML, platform, and software teams to establish clear production readiness standards. Incident Response & On-Call Participate in a 24/7 on call rotation as first line response for cloud and cluster related incidents. Lead incident triage, escalation, communications, and root cause analysis. Translate post incident learning into durable architectural or automation improvements. Continuously reduce alert noise and recurring operational burden. Observability & Operational Excellence Design and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery. Build dashboards that reflect real user centric platform health (not just infrastructure metrics). Improve deployment safety through better change management, validation, and rollback mechanisms. Automation & Tooling Build automation for cluster operations, training workflows, remediation, and scaling tasks. Implement self healing patterns and resilient recovery workflows. Harden CI/CD and release processes to improve deployment safety and velocity. Support infrastructure as code and policy driven guardrails to ensure secure, reliable cloud environments. About you In order to set you up for success as a Cloud Site Reliability Engineer at Wayve, we're looking for the following skills and experience. Essential skills Proven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large scale cloud systems. Experience operating GPU backed environments or large-scale ML infrastructure. Experience running model training or inference pipelines in production (MLOps). Strong Kubernetes experience, including operating production clusters. Hands on experience running production workloads in AWS, GCP, or Azure. Experience operating complex distributed systems in production, ideally including compute heavy or high performance workloads. Experience working with large compute clusters; exposure to AI/ML training or inference workloads strongly preferred. Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g. Python, Go, C++) with a bias toward automation. Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale. Experience designing and operating observability stacks (e.g. Datadog, Prometheus, Grafana, OpenTelemetry). Clear communication skills, including leading incidents, writing postmortems, and influencing teams to prioritise reliability improvements. Desirable skills Familiarity with infrastructure as code (e.g. Terraform) and secure cloud production environments. Experience defining and running SLOs/SLIs and building reliability programs across multiple teams. Experience as an early or founding SRE hire establishing processes from scratch. Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time. Benefits This is a full time role based in our office in London (2 days a week in the office). We operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. Equal Opportunity Statement Wayve is committed to creating an inclusive interview experience. If you require accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non discriminatory.

Wayve is seeking a Staff Security Engineer to advance the security framework of our internal platform and SPINE. You will develop enforceable security systems and work with the central Security team to implement strategy across endpoints, identity and platform estate. You will lead security tooling deployment, drive automation, and mentor engineers while collaborating across stakeholders to ensure compliance and robust security controls.

About us Wayve is the leading developer of Embodied AI technology. Our AI software and foundation models enable vehicles to perceive, understand, and navigate complex environments, enhancing automated driving safety. Our vision is to create autonomy that propels the world forward. Our AI products are designed for automakers and accelerate the transition from assisted to automated driving. We value diversity and foster an inclusive work environment where contributions matter. Summary Join Wayve as a Staff Security Engineer, responsible for advancing the security framework of our internal platform and IT security engineering group, SPINE. This role focuses on developing enforceable and continuously improving security systems, working with the central Security team to implement security strategy across our endpoint, identity, and internal platform estate. Responsibilities Lead endpoint and identity security systems across SPINE, ensuring continuous improvement of controls. Deploy and manage security tooling, automation, and infrastructure-as-code solutions for scalability. Identify and remediate systemic security gaps, using data to drive improvements and track security KPIs. Collaborate with the Security team and other stakeholders to align security measures with compliance and policy requirements. Mentor engineers and provide technical leadership in security across the organization. Required Skills Proficiency in scripting and automation (Python, Bash, PowerShell). Experience with infrastructure-as-code and configuration-as-policy methodologies. Strong Linux systems experience and background in endpoint/device management. Familiarity with identity and access systems, and implementation of device and access controls. Excellent communication skills and the ability to influence technical decisions. Self-directed and proactive problem-solving capabilities, comfortable operating with broad scope and autonomy. Wayve is committed to inclusive interview processes. If accommodations are needed to participate in the interview, please let us know. We encourage applicants from all backgrounds who are passionate about self-driving cars to apply. For information about the company culture and values, please consider viewing internal resources. Disclaimer: We do not ask about marriage or pregnancy, care responsibilities, or disabilities in job adverts or interviews. Diversity information may be collected via an optional DEI form to improve our hiring process and ensure inclusivity.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! About our Engineering Teams Wayve's ADAS engineering teams build the perception and intelligence that power driver assistance in real-world driving. We work end-to-end: from creating high-quality training data, to developing and evaluating CV/3D perception models, to iterating quickly based on performance gaps. The team mixes "online" (on-car, latency/compute constrained) and "offline" (heavier, large-scale data generation) work, with a strong focus on measurable impact and shipping. Your day-to-day You'll train, debug, and improve computer vision and 3D perception models, and iterate based on clear evaluation signals. You'll work across the full ML lifecycle (data training evaluation iteration), partnering with the team to decide what to tackle next based on where the system is underperforming. A meaningful portion of the role involves building scalable data pipelines (including auto-labelling / pseudo-labelling) to accelerate model development. What you'll be working on You'll help deliver core ADAS perception capabilities such as detection, classification, and instance segmentation, with domain focus across lanes, objects, traffic signs, and traffic lights. You'll contribute to offline pipelines like tracking + 3D reconstruction that let us back-propagate "known good" labels through time and generate large labelled datasets. Depending on your strengths, you may lean more into online models that must run fast in-car, or offline models that improve data quality and coverage at scale. You should apply if You've built and shipped CV-focused deep learning systems and can demonstrate strong applied ML engineering (not research-only). You have experience with 3D perception concepts or pipelines (e.g., LiDAR, multi-view geometry, tracking, 3D reconstruction) and you're comfortable owning work end-to-end, including evaluation and dataset generation. You enjoy pragmatic problem-solving, working under real product constraints, and you're excited to improve real-world driving performance through better perception. Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, we encourage you to apply even if you don't meet every requirement. More about Wayve Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve's mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work - Locations & Flexible Working Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. The Interview Process Our process is clear and respectful of your time: Initial call / recruiter screen (30 mins) Competency Interviews (Programming and System Design 2 hours total) Deep-dive technical interviews (domain-specific interview: 1 hours total) Final interview: mission & values alignment (1 hour). We'll always explain the format and work around your availability. What's in it for you (Location dependant): Salaries benchmarked against the market annually Meaningful equity, sharing in the ownership and long term success of Wayve Relocation support and visa sponsorship where applicable Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs Learning and development budgets with support for training, conferences and growth Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to Work DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! About our Engineering Teams Wayve's ADAS engineering teams build the perception and intelligence that power driver assistance in real-world driving. We work end-to-end: from creating high-quality training data, to developing and evaluating CV/3D perception models, to iterating quickly based on performance gaps. The team mixes "online" (on-car, latency/compute constrained) and "offline" (heavier, large-scale data generation) work, with a strong focus on measurable impact and shipping. Your day-to-day You'll train, debug, and improve computer vision and 3D perception models, and iterate based on clear evaluation signals. You'll work across the full ML lifecycle (data training evaluation iteration), partnering with the team to decide what to tackle next based on where the system is underperforming. A meaningful portion of the role involves building scalable data pipelines (including auto-labelling / pseudo-labelling) to accelerate model development. What you'll be working on You'll help deliver core ADAS perception capabilities such as detection, classification, and instance segmentation, with domain focus across lanes, objects, traffic signs, and traffic lights. You'll contribute to offline pipelines like tracking + 3D reconstruction that let us back-propagate "known good" labels through time and generate large labelled datasets. Depending on your strengths, you may lean more into online models that must run fast in-car, or offline models that improve data quality and coverage at scale. You should apply if You've built and shipped CV-focused deep learning systems and can demonstrate strong applied ML engineering (not research-only). You have experience with 3D perception concepts or pipelines (e.g., LiDAR, multi-view geometry, tracking, 3D reconstruction) and you're comfortable owning work end-to-end, including evaluation and dataset generation. You enjoy pragmatic problem-solving, working under real product constraints, and you're excited to improve real-world driving performance through better perception. Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, we encourage you to apply even if you don't meet every requirement. More about Wayve Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve's mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work - Locations & Flexible Working Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. The Interview Process Our process is clear and respectful of your time: Initial call / recruiter screen (30 mins) Competency Interviews (Programming and System Design 2 hours total) Deep-dive technical interviews (domain-specific interview: 1 hours total) Final interview: mission & values alignment (1 hour). We'll always explain the format and work around your availability. What's in it for you (Location dependant): Salaries benchmarked against the market annually Meaningful equity, sharing in the ownership and long term success of Wayve Relocation support and visa sponsorship where applicable Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs Learning and development budgets with support for training, conferences and growth Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to Work DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Icehouseventures is looking for a Staff ML Performance Engineer to optimize ML inference for edge accelerators and GPUs. You will focus on running large transformer-based models efficiently on low-cost, low-power devices, directing technical projects and ensuring reliable operation in vehicular compute environments. This full-time role operates under a hybrid policy, balancing office collaboration with remote work. Candidates can expect a dynamic environment, fostering innovation and inclusion.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! About the Team Portal is the platform that connects Wayve to the outside world; handling data exchange with partners, surfacing AI insights, and enabling the commercial deployment of Wayve's autonomy stack to OEM partners globally. The team operates as a startup within a scale up: with its own infrastructure, its own DevOps, and a high autonomy operating model independent from Wayve's core engineering org. The Role We're looking for a Platform Engineer to own and evolve the cloud infrastructure and developer tooling that underpins the entire Portal engineering team. This is a broad, hands on platform engineering role, not a narrow specialisation. You'll work across cloud infrastructure, RBAC/IAM, CI/CD, Kubernetes and developer productivity. You'll be the person application developers come to when they need to move faster, more safely, and you'll build the systems and guardrails that make that possible. What You'll Do Design, build and maintain cloud infrastructure, CI/CD and developer tooling (primarily Azure) using IaC (Terraform) across development, staging, and production environments. Own and evolve RBAC/IAM across both cloud/infrastructure and application/product layers for a multi tenant Portal environment. Build and improve CI/CD pipelines to increase developer velocity, reliability and deployment safety. Support and improve Kubernetes based deployment workflows and platform services. Build internal tools and observability capabilities that help engineers deliver performant, reliable software at scale. Participate in a support/on call rotation; respond to incidents, support engineers, and contribute to root cause analysis. Apply practical security and networking knowledge to harden the platform and coach application developers on best practices. What We're Looking For Strong hands on cloud infrastructure experience, ideally Azure, with production Terraform/IaC experience. Strong RBAC/IAM knowledge at cloud/infrastructure level; experience with application/product level IAM or multi tenancy is highly valuable. Experience building and maintaining CI/CD pipelines. Security and networking fundamentals: you are a hands on builder, not just a reviewer. Experience as part of a support or on call rotation. A strong communicator who can coach and guide application developers, not just build in isolation. A product mindset: you think about the developer experience and build tools that genuinely improve how the team works. High autonomy and ownership: you take responsibility for outcomes in a fast moving team. Nice to Have Experience working with multiple cloud providers or cross cloud IAM across Azure, AWS and/or GCP. Background in developer experience (DX) or internal tooling. Experience in a startup or high growth engineering environment. Security certifications are a plus but not required. This is a full time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non discriminatory.

Icehouseventures is looking for a skilled HIL System Engineer to design and implement HIL infrastructure for autonomous vehicles. You will lead the development of scalable, modular HIL benches ensuring end-to-end system validation. The ideal candidate has over 5 years in HIL systems, strong integration knowledge, and excels in cross-functional teamwork. This role follows a hybrid working policy-balancing time between office collaboration and remote work.

Icehouseventures is looking for a Platform Engineer to manage and advance our cloud infrastructure and tooling in London. This broad role encompasses working with Azure, CI/CD pipelines, and Kubernetes to enhance developer productivity and safety. The ideal candidate will have strong experience in cloud infrastructure, RBAC/IAM, and CI/CD, with a focus on building impactful developer tools within a hybrid work environment.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment, big problems ignite us we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role We are building a new team from the ground up to develop the first generation of verification and validation infrastructure - both hardware and software - including automated Hardware-in-the-Loop (HIL) systems with sensors and vehicle system emulation. As a HIL System Engineer, you'll lead the design, deployment, and continuous improvement of scalable and modular HIL benches that support end-to-end system integration and validation across multiple vehicle platforms. You'll own the full lifecycle of HIL benches from requirements gathering and hardware integration to commissioning and workflow improvement. You'll work closely with cross-functional teams including software, hardware, and system validation to ensure HIL systems are reliable, configurable, cost-efficient, and always ready to support fast paced releases. We are looking for engineers with experience in system design, hardware/software system integration, operations, and cross-functional collaboration. Key responsibilities Architect modular, configurable, and cost-effective HIL bench designs for platform integration and validation Consolidate system and test requirements from stakeholders to define HIL design Select and integrate off-the-shelf and custom components, e.g., GPIO module, FPGA board, signal conditioning module, power supply Collaborate with supply chain, program management, hardware, facility teams to ensure procurement, build and lab readiness Own the commissioning workflow for all benches and lead continuous improvement to reduce build and bring up time Collaborate with other HIL engineers to integrate sensor emulation, automation, configuration management Contribute to infrastructure that scales with future test demands and evolving hardware/software platforms Lead HIL bench issue resolution and root cause analysis About you You are passionate about architecting hardware-software test systems that enable scalable and high reliability open-loop and closed-loop testing. You enjoy bridging hardware, software and system engineering within the test validation workflow, and thrive in fast-moving and cross-functional environments. You care about reliability, scalability, and efficiency and are committed to delivering test platforms that others can count on. You bring a mindset of continuous improvement and take ownership of processes and HIL bench products. Essential Qualifications Bachelor's or master's degree in System Engineering, Electrical Engineering, Mechatronics, or a related field 5+ years of hands-on experience, designing and managing HIL systems and test benches in autonomous vehicle, robotics, aerospace, or similar industries Solid understanding of system integration, ECU communication protocols Experience selecting and integrating components such as dSPACE/NI/Vector modules, media converters, power supplies and DAQ hardware Strong background with diagnostic tools including but not limited to Vector, Kvaser Proficiency in Linux or Unix-based operating systems, command line tools Proven experience in system debugging, issue resolution, and root cause analysis across hardware/software integration, with the ability to drive issues to closure and implement preventative improvements Proven ability to collaborate with cross-functional teams and lead others to solve technical problems even when you don't manage them Strong systems engineering fundamentals across full product life cycle, from system architecture, operation to decommission Excellent cross-functional communication skills Desirable Qualifications Experience with autonomous systems including robotics and/or autonomous vehicles Exposure to vehicle dynamics modeling or closed-loop HIL testing Strong programming/scripting skills in Python, C/C++, or MATLAB/Simulink Proficiency with agile development tools and environments (Jira, Jama, etc.) Familiarity with automotive software development requirements and standards, such as ASPICE, ISO 26262, and ISO 21448 (SOTIF), with automotive HIL SW and HW products e.g. from Vector and dSPACE and with automotive SW architecture such as AUTOSAR This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! About the Team Portal is the cloud platform that connects Wayve to the outside world: handling data exchange with partners, surfacing AI insights, and enabling the commercial deployment of Wayve's autonomy stack to OEM partners globally. The team operates as a startup within a scale-up: with its own infrastructure, codebase, and direct relationships with commercial partners including Uber, Nissan and other OEMs. We move fast, own our decisions, and build systems that matter. The Role We're looking for a Staff Data Platform Engineer to own and lead Wayve's Data Transfer Hub project. This is a mission critical piece of infrastructure that will scale to transfer petabytes of sensor data per day from partner-operated vehicles around the world. This is a hands on technical leadership role driving a new project at Wayve. You'll design and build a globally distributed hub and spoke ingestion system, working directly with data partners like Uber and Nissan. Your infrastructure is what makes Wayve's AI model training possible at scale. What You'll Do Set technical direction for the Data Transfer Hub, making trade-offs across reliability, throughput, cost, partner constraints, observability and operational support. Lead the technical design and delivery of the Data Transfer Hub project, ingesting large volumes of video, LiDAR and sensor data from global partners at up to PB/day scale. Design and build parallelised, distributed data transfer pipelines using Flyte for workflow orchestration, Kafka/event driven patterns for lifecycle tracing, and Azure for storage and transfer infrastructure. Build and operate a globally distributed hub and spoke data transfer model to retrieve and share sensor data at scale with partners. Write infrastructure as code in Terraform; build pipeline logic primarily in Python. Drive cloud to cloud and cross cloud networking solutions (Azure primary; cross cloud experience beneficial). Work in a fast changing environment: requirements will evolve; high comfort with ambiguity required. What We're Looking For Proven experience building and operating large scale data transfer pipelines at multi TB or PB scale. Experience orchestrating parallelised transfer jobs: Flyte preferred; other workflow orchestration tools (e.g. Airflow, Prefect) will be considered. Experience building reliable, observable data systems, including retry strategies, backfills, data integrity checks, lifecycle/state tracking and operational alerting. Strong cloud platform skills (Azure preferred); experience working with multiple cloud providers (AWS/GCP) is a strong advantage. Proficiency in Python and Terraform. Cloud to cloud and networking experience (e.g. blob/object transfer and storage at scale, cross cloud data movement). A product mindset: you think about the customer and build solutions that fix real problems, not just implement requirements. Comfort working in a fast changing environment with evolving requirements: this is a startup within a scale up. High degree of autonomy and ownership: you take responsibility for outcomes, not just tasks. Nice to Have Experience with Kafka for event driven transfer observability. Multi cloud experience across Azure, AWS and/or GCP. Experience working directly with external data partners. Background in autonomous vehicles, robotics or similar data intensive domains. This is a full time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve. DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non discriminatory.

Icehouseventures in London seeks a Staff Data Platform Engineer to lead the Data Transfer Hub project, facilitating the transfer of a large volume of sensor data from partner vehicles. This hands-on role requires deep expertise in building scalable data pipelines with a hands-on cloud platform experience, particularly in Azure. The ideal candidate will have a passion for AI technology, a product mindset, and thrive in a dynamic startup environment. Icehouseventures promotes a hybrid working model to foster innovation and collaboration.