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Senior Software Engineer, JAX

Nvidia

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Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with Deep learning? Tell me one thing you learned the hard way.
  3. Tell me about a hard bug you tracked down. How did you find the cause?
  4. How do you decide what to test, and what does good code review look like to you?
  5. Describe a time a deadline forced a trade-off in quality. What did you choose and why?

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NVIDIA is hiring senior engineers to develop its AI platform and more specifically its performance optimizations in deep learning frameworks using JAX, a tool that can differentiate between Python control code and NumPy code. Our goal is to deliver a polished, fast, modular and coordinated platform to handle data, training and analysis for a wide range of deep learning solutions using JAX. To achieve this and provide an excellent user experience, you have strong programming skills and excellent system design skills. You should have excellent communication and planning skills for this role. Come join us to build the next generation of tooling that will advance the numerical computing and machine learning research around the world! What you will be doing: Play meaningful role in NVIDIA's effort in contributing to JAX. Design and implement JAX core components and drive peak performance on NVIDIA products. Work with AI applied researchers and leaders to build future-proof models Build tools that will increase the efficiency of teams developing AI-based systems. Work to bridge the gap between the latest in numerical computing, simulation and deep learning research and their applications in real world products. What we need to see: BS in Computer Science or Computer Engineering or related field (or equivalent experience). 6+ years relevant experience. C/C++ and Python programming. Experience with machine learning frameworks and their internals (e.g. PyTorch, TensorFlow, scikit-learn, etc.). Proven ability developing customer-facing solutions, balancing feature requests and bugs. Proven technical foundation in CPU and GPU architectures, numeric libraries, modular software design. Highly motivated with excellent verbal and written communication skills. Ability to work successfully with multi-functional teams, principles and architects. Coordinates effectively across organizational boundaries and geographies. Ways to stand out from the crowd: Understanding of JAX, Autograd, tracing, code generation and DSL compilers and their design. Understanding of deep learning training in distributed contexts: multi-GPU, multi-node, synchronous vs asynchronous. Background with software shipping cycles (dev, deploy, release, CI). Experience building distributed systems and services at large scale. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 292,500 PLN - 507,000 PLN for Level 4, and 375,000 PLN - 650,000 PLN for Level 5.

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Listed on workday · posted 2026-10-19. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.