Senior Software Engineer, JAX

Nvidia

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Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 16 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $170k

This role $236k

$100k $308k

below market most similar roles pay here above market

This role pays more than 96% of similar roles. Most pay $149,500–$190,000 — the blue band above. At the midpoint, this role pays about $236k versus about $170k for comparable roles.

Based on 240 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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, JAX

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As a Senior Software Engineer, JAX, you will join the team developing NVIDIA's AI platform to create performance optimizations for deep learning frameworks using JAX. You will design and implement core JAX components to drive peak performance on NVIDIA products while building tools that increase efficiency for teams developing AI-based systems. Your daily work involves bridging the gap between numerical computing, simulation, and deep learning research to build future-proof models. You must possess strong programming skills in C/C++ and Python, along with experience in machine learning frameworks like PyTorch, TensorFlow, and scikit-learn. The role requires a technical foundation in CPU and GPU architectures, numeric libraries, and modular software design. You will also utilize knowledge of Autograd, tracing, code generation, and DSL compilers to solve complex distributed training problems.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

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Skills

JAX Python C/C++ PyTorch TensorFlow scikit-learn NumPy GPU Architecture Distributed Systems Numerical Computing DSL Compilers Autograd Machine Learning Software Design

What you'll do

Design and implement core components for the JAX framework.
Drive peak performance for JAX on NVIDIA hardware products.
Build tools to increase efficiency for teams developing AI-based systems.
Develop future-proof models in coordination with AI applied researchers and leaders.
Bridge the gap between numerical computing research and real-world product applications.
Develop customer-facing solutions while balancing feature requests and bug fixes.
Implement distributed training solutions for multi-GPU and multi-node contexts.

What we're looking for

BS 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 technical foundation in CPU and GPU architectures, numeric libraries, and modular software design.
Proven ability to develop customer-facing solutions while balancing feature requests and bugs.
Excellent verbal and written communication skills and the ability to work with multi-functional teams.
Understanding of JAX, Autograd, tracing, code generation, DSL compilers, and distributed deep learning training (preferred).

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