Icehouseventures

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 We're looking for a Robotaxi Technical Operations to join Wayve's Technical Operations function, acting as the critical bridge between Science, Product, Engineering, and Operations. This role is ideal for someone who thrives in dynamic, high-growth environments and has proven experience translating complex technical strategies into actionable field operations. You'll lead critical testing and demonstration programs across our global operations-spanning roadshow campaigns, customer specific programs, and on road validation activities-working cross functionally to ensure structured feedback loops between field operations and development teams. This role is key to our transformation from an R&D focused operation to a world class, delivery grade commercial AV organization that can execute seamlessly with customers and partners. Key responsibilities: Technical and Operations Enablement: Convert high level program plans into clear, actionable on road plans in partnership with Fleet Operations leadership, ensuring alignment on scheduling, safety, and operational feasibility across diverse testing requirements. Testing and Validation: Execute across internal facing and external facing programs, coordinating between technical teams and operations to ensure seamless testing and validation execution while maintaining safety protocols and capturing valuable feedback. Cross Functional Alignment: Act as the connective tissue between model developers, researchers, product teams, and operations, ensuring two way visibility and structured feedback loops that drive faster iteration on features, releases, and model performance. Operational Readiness: Collaborate closely with Fleet Operations to maintain consistent experiment design, vehicle availability, and process quality across testing programs, ensuring repeatable, high quality delivery at scale. Continuous Improvement: Partner with Systems and Enablement teams to leverage fleet data, systems, and metrics for collaborative problem solving and refinement of testing processes and internal tooling, quantifying improvements in operational performance. Innovation in Testing & Evaluation: Proactively brainstorm and explore new experimental methods (e.g., adversarial route selection, edge case testing concepts), fostering a culture of curiosity and bold experimentation to uncover insights that drive novel breakthroughs. Technical Collaboration: Build strong partnerships with model development teams, combining strategic thinking with practical operational expertise to maximize the value of every test, dataset, and feedback loop in support of commercial objectives. About you In order to set you up for success as a Robotaxi Technical Operations at Wayve, we're looking for the following skills and experience. Essential Demonstrable experience in technical program management or operations roles at the intersection of R&D, product development, and field testing in high complexity environments (e.g., autonomous systems, robotics, aerospace, or advanced mobility). Proven track record of managing programs, demonstrations, or operations that require tight coordination between technical development teams and operational execution. Deep experience with test planning, operational readiness frameworks, and structured feedback loops between field operations and technical development teams. Strong facilitation and stakeholder management skills: able to lead cross functional workshops and coordinate between Engineering, Science, Product, and Operations teams effectively. Proven ability to influence across teams and functions, including remote and international stakeholders in fast paced technology environments. Strong written, verbal, and visual communication skills with experience creating technical documentation, SOPs, and stakeholder presentations. Ability to travel internationally up to 30% of the time to support on site program coordination across testing regions. Strong problem solving skills and comfort working in ambiguous, rapidly evolving environments with competing priorities. Desirable Experience in autonomous vehicles, advanced driver assistance systems, or field robotics operations. Exposure to automotive testing protocols, validation frameworks, or OEM partnership programs. Experience supporting scaling in global, distributed teams with complex technical dependencies. Experience with data analysis and performance tracking; able to build or interpret dashboards, identify operational bottlenecks, and quantify program improvements. Comfortable with project management tools such as Confluence, Asana/Jira, or equivalent, and experience implementing operational tracking systems. Background in process improvement methodologies (Lean, Six Sigma) or operational excellence frameworks. Familiarity with vehicle commissioning processes, fleet management systems, or automotive safety protocols. Desirable This is a full time role based in our offices in London. 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. 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, based in London, is seeking a Robotaxi Technical Operations professional to lead critical testing and demonstration programs across global operations. This full-time role will bridge Science, Product, Engineering, and Operations, ensuring high-quality delivery and field operations efficacy. Candidates should have demonstrable experience in program management, strong stakeholder management skills, and the ability to thrive in dynamic environments. The position may require international travel up to 30%.

Wayve is seeking a Technical Operations professional to bridge Science, Product, Engineering, and Operations. In this full-time London-based role, you will lead testing and operational programs, ensuring seamless coordination among teams. The ideal candidate has a background in technical program management with experience in complex environments, strong communication skills, and the ability to influence across functions. The position offers a hybrid work policy, combining office presence with remote work flexibility.

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 We're seeking an exceptional Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve's autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands on role in shaping our AV capabilities in Japan from the ground up. In this role, you'll be responsible for the bring up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You'll collaborate closely with cross functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery. Key responsibilities Execute software bring up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride). Port and configure Linux based systems, QNX, and Adaptive AUTOSAR environments. Integrate and validate drivers, middleware, and boot time configurations. Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure. Work with OEM and Tier 1 teams to resolve hardware specific integration issues. Implement system level diagnostics, logging, and secure boot configuration. Develop automation for setup, flashing, health checks, and test execution on target hardware. About you In order to set you up for success at Wayve, we're looking for the following skills and experience. 8+ years of experience in embedded or automotive software development, ideally with hands on platform bring up experience. Strong proficiency in C/C++, Bash, and Python. Deep understanding of Linux based embedded systems (Yocto, systemd, bootloaders, device trees). Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware. Experience with bring up on automotive grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI). Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs). Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C. Hands on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks. No Japanese language required. Desired Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs). Experience working in a safety critical domain with an understanding of ISO 26262, boot time determinism, and watchdogs. Understanding of secure boot, OTA updates, and system level cybersecurity topics. Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory. This is a full time role based in our office in Tokyo - we offer relocation package and visa sponsorship. 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 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. 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 Software Engineer for the Simulation Technology team in London. In this full-time role, you'll evolve a core component of the simulation platform used to develop Wayve's driving intelligence. Responsibilities include owning key performance indicators and implementing production quality software in Python. Ideal candidates have over 5 years of experience in software development and strong knowledge of systems design. The position offers a hybrid work model, combining office and remote work.

Icehouseventures is seeking an exceptional Application SW Engineer to join their Tokyo office, focusing on localizing and advancing their autonomous driving technology for the Japanese market. This full-time role involves software bring-up on customer hardware platforms, integration of drivers, and collaboration with various teams to ensure integration and delivery. The company offers a hybrid working policy, a relocation package, and visa sponsorship for the right candidate. If you're passionate about self-driving technology, apply now.

Icehouseventures is seeking a Senior Devops Engineer to join the accesso Freedom team. This role involves managing cloud resources and automating application deployments for a cloud-native SaaS product, with responsibilities including CI/CD pipeline management and collaboration with various teams. Candidates should have at least 5 years of Azure experience and Kubernetes management skills. The position offers a remote work option and competitive compensation, including an annual bonus and generous paid leave.

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.

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.

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.

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.