Distinguished Engineer, JAX

Nvidia

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Salary: $320,000–$488,750 / yr
Posted: 143 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $165k

This role $404k

$78k most similar roles pay here $533k

This role pays more than 99% of similar roles. Most pay $122,075–$207,100 — the shaded band above. At the midpoint, this role pays about $404k versus about $165k for comparable roles.

Based on 239 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 855 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 843 roles with salary data.

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At a glance

TL;DR · Distinguished Engineer, JAX

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NVIDIA seeks a distinguished engineer to join its AI platform team as a senior contributor, focusing on enhancing performance optimizations within deep learning frameworks using JAX. This role involves designing and implementing core components of JAX to ensure peak performance on NVIDIA hardware while collaborating with researchers to develop future-proof models. The ideal candidate will build tools that improve the efficiency of teams working on AI systems and bridge the gap between cutting-edge research and practical applications in real-world products. Essential skills include expertise in C/C++ and Python, experience with machine learning frameworks like PyTorch and TensorFlow, and a deep understanding of JAX, autograd, tracing, code generation, and DSL compilers. Additionally, candidates should have a strong background in CPU and GPU architectures, numeric libraries, modular software design, and distributed systems at scale.

Skills

JAX Python C/C++ PyTorch TensorFlow scikit-learn GPU CPU Distributed Systems CI/CD Autograd DSL Compilers Multi-GPU Multi-node Synchronous Communication Asynchronous Communication

What you'll do

Design and implement core components of JAX to enhance performance on NVIDIA products.
Collaborate with AI researchers to develop scalable models for future applications.
Create tools that improve the efficiency of teams working on AI-based systems.
Bridge the gap between numerical computing research and practical product development.
Contribute significantly to NVIDIA’s efforts in advancing JAX technology.

What we're looking for

Over 18 years of relevant experience in computer science or engineering.
Strong C/C++ and Python programming skills with deep learning frameworks.
Experience developing customer-facing solutions and managing feature requests.
Technical expertise in CPU/GPU architectures and modular software design.
Excellent communication skills for multi-functional team coordination.
Understanding of JAX, Autograd, tracing, code generation, and DSL compilers.
Background in distributed systems, large-scale services, and software shipping cycles.

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