Senior Software Engineer, JAX

at Nvidia

USD 184,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Communication @ 7 Deep Learning @ 4 Distributed Systems @ 4 GPU @ 7 JAX @ 4 Machine Learning @ 4 Performance Optimization PyTorch @ 4 Python @ 6 TensorFlow @ 4 scikit-learn @ 4

Details

NVIDIA is hiring senior engineers to develop its AI platform, with a focus on performance optimization in deep learning frameworks using JAX. The goal is to deliver a polished, fast, modular, and coordinated platform for data handling, training, and analysis across a wide range of deep learning solutions. The role requires strong programming, system design, communication, and planning skills.

Responsibilities

Contribute meaningfully to NVIDIA's efforts in the JAX ecosystem.
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 increase the efficiency of teams developing AI-based systems.
Bridge the gap between advances in numerical computing, simulation, and deep learning research and their applications in real-world products.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
6+ years of relevant experience.
Proficiency in C/C++ and Python programming.
Experience with machine learning frameworks and their internals, such as PyTorch, TensorFlow, or scikit-learn.
Proven ability to develop customer-facing solutions while balancing feature requests and bugs.
Strong technical foundation in CPU and GPU architectures, numerical libraries, and modular software design.
Excellent verbal and written communication skills.
Ability to work successfully with multifunctional teams, principals, and architects, coordinating effectively across organizational boundaries and geographies.

Preferred Qualifications

Understanding of JAX, Autograd, tracing, code generation, DSL compilers, and their design.
Understanding of deep learning training in distributed contexts, including multi-GPU, multi-node, synchronous, and asynchronous training.
Background with software shipping cycles, including development, deployment, release, and continuous integration.
Experience building distributed systems and services at large scale.

Compensation and Benefits

Base salary range of USD 184,000–287,500 for Level 4.
Base salary range of USD 224,000–356,500 for Level 5.
Eligibility for equity and benefits.
Applications accepted at least until August 7, 2026.
NVIDIA is an equal opportunity employer and is committed to fostering an inclusive work environment.