UiPath, Inc.
Life at UiPath The people at UiPath believe in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self propelled, generous, and genuine. People who love being part of a fast moving, fast thinking growth company. And people who care-about each other, about UiPath, and about our larger purpose. Could that be you? Your mission: Build the Engine, Not Just the Car We're the Machine Learning Services (MLS) team at UiPath-a small, sharp group of senior engineers building the core platform that powers UiPath's large scale AI and Document Understanding products. Our world is one of distributed systems, high throughput model serving, and complex asynchronous training workflows. We're looking for a systems level engineer who wants to work on the gnarly, foundational problems of a production ML platform. You'll support a system that handles a massive volume of inference requests and orchestrates unattended model training across a diverse landscape of model architectures. This isn't just about gluing APIs together; it's about building the infrastructure that makes it all possible. Our core platform is written in Rust for performance, correctness, and fearless concurrency. ML models and services are primarily in Python. If you're intrigued by the challenges of the software/hardware interface, OS level optimization, and building robust, multi tenant distributed systems, you'll fit right in What you'll do at UiPath Design, build, and operate the core MLS platform. This includes our Rust based API gateway, Python ML compute workers, and the distributed job queue that orchestrates it all. Solve hard concurrency, performance, and distributed systems problems to ensure our platform is bulletproof for high volume production workloads. Work directly with product and ML science teams to understand their needs and build the scalable infrastructure required to bring their models to life-from massive GenAI models to fine tuned, specialized classifiers. Develop our custom built, content addressable storage abstraction layer over cloud object stores (GCS, S3, Azure Blob), complete with its own garbage collection and sharding logic. Enhance our asynchronous job queueing system, built from the ground up on the storage layer using compare and swap primitives for atomicity. No off the shelf message broker could handle our specific needs. Dive deep into the entire stack, from Kubernetes and container orchestration, through gRPC based service communication, to the performance tuning of ONNX based inference on GPU accelerated hardware. Write clean, efficient, and rigorously tested code. We value simplicity, correctness, and peer review. What you'll bring to the team A solid track record (5+ years) of engineering and architecting large scale, distributed commercial services. Your experience speaks for itself. Deep proficiency in a systems level language (Rust, C++, Go). A willingness and curiosity to become an expert in Rust is essential, as it's the foundation of our core services. Strong Python skills are also critical. Real world experience with cloud ecosystems (Azure, AWS, or GCP) and containerization (Docker, Kubernetes). You should understand how production systems are deployed, monitored, and scaled. A firm grasp of concurrency, multithreading, and asynchronous programming. You know the difference between a mutex and a channel, and you know when (and when not) to use them. A pragmatic understanding of computer science fundamentals. We care more about your ability to solve real world problems with data structures and algorithms than your ability to recite them from a textbook. An opinion on what makes good code and good architecture, and the ability to articulate it. You should be comfortable challenging assumptions (including our own) and contributing to a culture of continuous improvement. You're a builder and a problem solver at heart. Nice to Haves (but we can teach you): You've already worked with Rust in a production environment. Experience with MLOps, particularly the challenges of managing the lifecycle of models in a multi tenant, high availability system. Familiarity with building ML inference services, model serialization (e.g., ONNX), and GPU programming (CUDA). You've built or worked on custom storage or job queueing systems before and have the scars to prove it. Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
Life at UiPath The people at UiPath believe in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self propelled, generous, and genuine. People who love being part of a fast moving, fast thinking growth company. And people who care-about each other, about UiPath, and about our larger purpose. Could that be you? Your mission: Build the Engine, Not Just the Car We're the Machine Learning Services (MLS) team at UiPath-a small, sharp group of senior engineers building the core platform that powers UiPath's large scale AI and Document Understanding products. Our world is one of distributed systems, high throughput model serving, and complex asynchronous training workflows. We're looking for a systems level engineer who wants to work on the gnarly, foundational problems of a production ML platform. You'll support a system that handles a massive volume of inference requests and orchestrates unattended model training across a diverse landscape of model architectures. This isn't just about gluing APIs together; it's about building the infrastructure that makes it all possible. Our core platform is written in Rust for performance, correctness, and fearless concurrency. ML models and services are primarily in Python. If you're intrigued by the challenges of the software/hardware interface, OS level optimization, and building robust, multi tenant distributed systems, you'll fit right in What you'll do at UiPath Design, build, and operate the core MLS platform. This includes our Rust based API gateway, Python ML compute workers, and the distributed job queue that orchestrates it all. Solve hard concurrency, performance, and distributed systems problems to ensure our platform is bulletproof for high volume production workloads. Work directly with product and ML science teams to understand their needs and build the scalable infrastructure required to bring their models to life-from massive GenAI models to fine tuned, specialized classifiers. Develop our custom built, content addressable storage abstraction layer over cloud object stores (GCS, S3, Azure Blob), complete with its own garbage collection and sharding logic. Enhance our asynchronous job queueing system, built from the ground up on the storage layer using compare and swap primitives for atomicity. No off the shelf message broker could handle our specific needs. Dive deep into the entire stack, from Kubernetes and container orchestration, through gRPC based service communication, to the performance tuning of ONNX based inference on GPU accelerated hardware. Write clean, efficient, and rigorously tested code. We value simplicity, correctness, and peer review. What you'll bring to the team A solid track record (5+ years) of engineering and architecting large scale, distributed commercial services. Your experience speaks for itself. Deep proficiency in a systems level language (Rust, C++, Go). A willingness and curiosity to become an expert in Rust is essential, as it's the foundation of our core services. Strong Python skills are also critical. Real world experience with cloud ecosystems (Azure, AWS, or GCP) and containerization (Docker, Kubernetes). You should understand how production systems are deployed, monitored, and scaled. A firm grasp of concurrency, multithreading, and asynchronous programming. You know the difference between a mutex and a channel, and you know when (and when not) to use them. A pragmatic understanding of computer science fundamentals. We care more about your ability to solve real world problems with data structures and algorithms than your ability to recite them from a textbook. An opinion on what makes good code and good architecture, and the ability to articulate it. You should be comfortable challenging assumptions (including our own) and contributing to a culture of continuous improvement. You're a builder and a problem solver at heart. Nice to Haves (but we can teach you): You've already worked with Rust in a production environment. Experience with MLOps, particularly the challenges of managing the lifecycle of models in a multi tenant, high availability system. Familiarity with building ML inference services, model serialization (e.g., ONNX), and GPU programming (CUDA). You've built or worked on custom storage or job queueing systems before and have the scars to prove it. Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
UiPath, Inc.
Your mission As the world moves into an agentic future-the UiPath Platform enables AI agents, robots, people, and models to work together harmoniously to revolutionize industries and enhance human potential. We are seeking an experienced Senior Solution Engineer to join our team covering the UKI region. In this role, you will blend both technical expertise and business acumen to support the sales process from start to finish. Your primary responsibility will be to identify and understand customer pain points, translating them into tailored, value-driven solutions. Your ability to bridge the gap between business needs and technical solutions will be crucial in delivering exceptional results for our customers. Any experience in working with public sector solutions will be of particular advantage. What you'll do at UiPath For the client: Participate in account strategy planning with the Sales team Work closely with the Sales team to qualify opportunities and prioritize accordingly Lead end-to-end Presales activities & create strong value propositions Perform tailored, high-level demos demonstrating business value Ensure delivery of strong Rfx's, contextualized demos and powerful PoV's Design solutions to fit client needs and environment during the sales process Resolve client concerns around technical capabilities, information security, and platform architecture during the sales process Be an evangelist of UiPath solutions by identifying customer needs and showcasing the best solution Develop solution architectures for customers for secure on-prem, hybrid, and public cloud implementations of the UiPath platform For UiPath: Participate in knowledge sharing inside and outside of the Presales team Build solutions for different industry verticals, with particular focus on the public sector Support Marketing initiatives through evangelism activities, including writing blogs, speaking at UiPath events and other industry events Work closely with Product teams for improvement of functionalities and adding external technologies to the UiPath ecosystem Engage in product release cycles to promote new releases and provide feedback on the product roadmap What you'll bring to the team Demonstrable track record in a client-facing Presales/Sales Engineering/Solution Architect position Good balance of technical, business and sales skills Strong communication, discovery and interpersonal skills with proven experience, building strong internal and external relationships Experience in process discovery, process mining, process orchestration, automation solutions and AI technologies like LLMs and agents UiPath platform knowledge is a plus Public sector experience is a plus Solid understanding of Cloud and Virtualization technology Driven approach with a solution selling mindset Self-motivated, proactive approach with innovative ideas to inspire customer loyalty and adoption Team player attitude with the ability to work in a fast-paced environment The ability to work in harmony with our values; Humble, Bold, Immersed, and Fast Willing to travel We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
Your mission As the world moves into an agentic future-the UiPath Platform enables AI agents, robots, people, and models to work together harmoniously to revolutionize industries and enhance human potential. We are seeking an experienced Senior Solution Engineer to join our team covering the UKI region. In this role, you will blend both technical expertise and business acumen to support the sales process from start to finish. Your primary responsibility will be to identify and understand customer pain points, translating them into tailored, value-driven solutions. Your ability to bridge the gap between business needs and technical solutions will be crucial in delivering exceptional results for our customers. Any experience in working with public sector solutions will be of particular advantage. What you'll do at UiPath For the client: Participate in account strategy planning with the Sales team Work closely with the Sales team to qualify opportunities and prioritize accordingly Lead end-to-end Presales activities & create strong value propositions Perform tailored, high-level demos demonstrating business value Ensure delivery of strong Rfx's, contextualized demos and powerful PoV's Design solutions to fit client needs and environment during the sales process Resolve client concerns around technical capabilities, information security, and platform architecture during the sales process Be an evangelist of UiPath solutions by identifying customer needs and showcasing the best solution Develop solution architectures for customers for secure on-prem, hybrid, and public cloud implementations of the UiPath platform For UiPath: Participate in knowledge sharing inside and outside of the Presales team Build solutions for different industry verticals, with particular focus on the public sector Support Marketing initiatives through evangelism activities, including writing blogs, speaking at UiPath events and other industry events Work closely with Product teams for improvement of functionalities and adding external technologies to the UiPath ecosystem Engage in product release cycles to promote new releases and provide feedback on the product roadmap What you'll bring to the team Demonstrable track record in a client-facing Presales/Sales Engineering/Solution Architect position Good balance of technical, business and sales skills Strong communication, discovery and interpersonal skills with proven experience, building strong internal and external relationships Experience in process discovery, process mining, process orchestration, automation solutions and AI technologies like LLMs and agents UiPath platform knowledge is a plus Public sector experience is a plus Solid understanding of Cloud and Virtualization technology Driven approach with a solution selling mindset Self-motivated, proactive approach with innovative ideas to inspire customer loyalty and adoption Team player attitude with the ability to work in a fast-paced environment The ability to work in harmony with our values; Humble, Bold, Immersed, and Fast Willing to travel We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.