NVIDIA seeks senior engineers to join its AI platform team, focusing on enhancing performance optimizations within deep learning frameworks using JAX. In this role, you will design and implement core components of JAX, ensuring peak performance across NVIDIA’s hardware products while collaborating with researchers to develop future-proof models. Your responsibilities include building tools that streamline the development process for AI systems and bridging theoretical research in numerical computing and simulation with practical applications. Ideal candidates possess a strong background in C/C++ and Python programming, experience with machine learning frameworks like PyTorch and TensorFlow, and expertise in JAX internals such as autograd, tracing, and DSL compilers. Additionally, you should have a solid understanding of distributed deep learning training environments and the ability to work effectively across multi-functional teams.
Skills
JAX
Python
C++
PyTorch
TensorFlow
scikit-learn
CI/CD
GPU
CPU
Docker
Kubernetes
AWS
PostgreSQL
Prometheus
Grafana
What you'll do
Design and implement core components of JAX to enhance performance on NVIDIA products.
Collaborate with AI researchers to develop scalable and efficient deep learning models.
Bridge the gap between numerical computing research and practical applications in real-world products.
Build tools that improve efficiency for teams developing AI-based systems.
Contribute to NVIDIA’s efforts by advancing JAX capabilities and integration.
What we're looking for
6+ years of experience in relevant technical roles
Strong C/C++ and Python programming skills
Expertise in machine learning frameworks and their internals
Proven ability to develop customer-facing solutions effectively
Technical proficiency in CPU/GPU architectures and numeric libraries
Excellent verbal and written communication skills
Experience with JAX, Autograd, tracing, code generation, and DSL compilers
Market check
Salary context
This
$184,000–$287,500
range sits above
93%
of similar postings on FindRole.
Peer median band
$117,000–$203,940
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$139,000–$175,500
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.