Senior Systems Engineer, Neural Graphics

Nvidia

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $224,000–$356,500 / yr
Posted: 29 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k

This role $290k

$150k most similar roles pay here $379k

This role pays more than 95% of similar roles. Most pay $185,325–$246,150 — the shaded band above. At the midpoint, this role pays about $290k versus about $216k 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 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Systems Engineer, Neural Graphics

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As an outstanding engineer joining NVIDIA’s Neural Graphics team, you will bring deep expertise in graphics and AI to transform innovative world simulation techniques such as AlpaDreams into production-ready systems. Your day-to-day responsibilities include optimizing performance, integrating complex pipelines with downstream stacks, and solving challenging systems issues like latency and memory constraints. You must have a degree in Computer Science, Computer Graphics, Machine Learning, or equivalent experience, along with 12+ years of proven success in shipping impactful products. Ideal candidates possess hands-on experience with world models, diffusion models, LLMs, neural radiance fields, and differentiable rendering, as well as the ability to think like a systems architect, making principled design trade-offs across the full stack.

Skills

Python C++ CUDA TensorFlow PyTorch OpenGL Vulkan AI Machine_Learning Computer_Graphics Neural_Networks Systems_Optimization CI/CD Docker Kubernetes AWS Grafana Prometheus

What you'll do

Drive innovative world simulation techniques into production-ready real-time pipelines.
Own the end-to-end process from prototype to shipping product, ensuring performance optimization and quality standards.
Solve critical systems challenges such as latency, memory, and throughput issues for research demos transitioning to products.
Make informed design trade-offs across the full stack to balance complexity and simplicity effectively.
Integrate novel AI techniques like neural radiance fields into production-quality systems.

What we're looking for

12+ years experience shipping impactful products or technologies in graphics/AI.
Deep expertise in taking research concepts to production-quality systems end-to-end.
Strong background in computer science, graphics, machine learning, or equivalent.
Proven ability to make principled design trade-offs across the full stack.
Hands-on experience with world models, diffusion models, LLMs, and neural rendering.

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Senior Deep Learning Systems Engineer, Datacenters

Nvidia

Santa Clara, CA 30 days ago $184,000–$287,500

Python C/C++ CUDA PyTorch TensorFlow Linux Docker Slurm perf gprof nvidia-smi dcgm

Hybrid

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