Senior Software Engineer, JAX

US, CA, Santa Clara US, CA, Remote remote Until 10/3/2026 6+ years exp First posted April 20, 2026 Last posted August 4, 2026
Job description

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. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 7, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

About this role

Summary

Develop deep learning frameworks with performance tuning, system design, and collaboration.

Job title

Senior Software Engineer, JAX

Experience level

6+ years

Minimum experience

6+ years exp

Industry

software

Location requirements

Remote in US, CA, Santa Clara preferred, remote work allowed

Salary

$184k–$357k

Management role

No

Skills & keywords

Required skills

C++Pythonmachine learning frameworksCPU architecturesGPU architecturesnumeric libraries

Preferred skills

JAXAutograddistributed systemssoftware shipping cyclesmulti-GPU

Specializations

deep learningpythonc++gpu architecturesperformance optimization
Locations

Structured locations inferred from the posting.

California, USA

Remote State

Santa Clara, CA, USA

On-site City