Senior Software Engineer, JAX

NVIDIA is hiring a Senior Software Engineer, JAX for a remote role open to applicants in Switzerland. It pays PLN 293k-PLN 507k a year and Level rates it ; you can apply on Level.

AI in this role

pytorchtensorflowscikit-learnjax

ai-research

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.

How we rate this

Senior Software Engineer, JAX at NVIDIA rates 96 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Senior Software Engineer, JAX is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is PLN 293k-PLN 507k a year.
The role is based in Switzerland, Remote and is marked remote.
The job was posted on October 12, 2026.
Seniority: senior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI ResearchPyTorchTensorFlowscikit-learnJax

Also common in software engineer jobs at this level

LLM AWS AI agents Kubernetes Java Generative AI

Pay

Typical software engineer job: $168k

Use the typical software engineer figure as a reference when pay comes up. See software engineer jobs

Questions you could be asked

Tell me about a research question you investigated. What did you find?
Walk me through how you've used PyTorch in your day-to-day work.
What are the limits of TensorFlow that you've run into, and how did you work around them?
What's a project where you used scikit-learn hands-on?
Walk me through how you've used Jax in your day-to-day work.

Adapt your resume

List these exact terms on your resume: AI Research, PyTorch, TensorFlow, scikit-learn, and Jax. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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