Life at UiPath

The people at UiPath believe in the transformative power of automation to change how the world works. Were 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 careabout each other about UiPath and about our larger purpose.

Could that be you

Your Mission: Build the Engine Not Just the Car

Were the Machine Learning Services (MLS) team at UiPatha small sharp group of senior engineers building the core platform that powers UiPaths large-scale AI and Document Understanding products.
Our world is one of distributed systems high-throughput model serving and complex asynchronous training workflows. Were looking for a systems-level engineer who wants to work on the gnarly foundational problems of a production ML platform. Youll support a system that handles a massive volume of inference requests and orchestrates unattended model training across a diverse landscape of model architectures. This isnt just about gluing APIs together; its about building the infrastructure that makes it all core platform is written in Rust for performance correctness and fearless concurrency. ML models and services are primarily in Python. If youre intrigued by the challenges of the software/hardware interface OS-level optimization and building robust multi-tenant distributed systems youll fit right in

What Youll Actually Do:

• 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 lifefrom 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 Youll 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 its 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.

• Youre a builder and a problem-solver at heart.

Nice to Haves (but we can teach you):

• Youve 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).

• Youve built or worked on custom storage or job-queueing systems before and have the scars to prove it.

  #LI-NB1

Maybe you dont tick all the boxes abovebut still think youd be great for the job Go ahead apply anyway. Please. Because we know that experience comes in all shapes and sizesand passion cant 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 .

Required Experience:

Senior IC