Six Figure Work

Senior Developer Technology Engineer - Simulation Performance

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $224,000  to $431,250

Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA

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  • LocationSanta Clara, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (25 min ago) · observed since

About this job

We are seeking an exceptional hands-on engineer to help our partners and customers make demanding physics and robotics simulation workloads run exceptionally well on NVIDIA platforms. You will work at the intersection of algorithms, mathematics, GPU architecture, and production software to find the true limits of real applications and turn that understanding into durable code and actionable feedback for NVIDIA engineering teams.


This role is for someone with a recognizable technical body of work: not someone who merely used advanced systems, but someone who took stewardship of one and made it substantially better.


What you'll be doing:

  • Help our partners and customers establish and execute performance strategies for important physics, robotics simulation, and computational-engineering workloads on NVIDIA GPUs.
  • Build rigorous benchmarks and performance models, profile customer applications from system architecture through GPU kernels, and identify the actual limiting factors.
  • Work with partner developers to improve algorithms, data structures, memory layouts, and parallel execution. When evidence points to an NVIDIA platform bottleneck, collaborate with the owning engineering team rather than duplicating its role.
  • Understand and apply knowledge of reinforcement learning, robotic kinematics simulation setup and simulation validation to the challenges that our partners bring.
  • Write and upstream production C++, CUDA, Python, and domain-specific GPU code into simulation platforms, partner applications, and reusable reference implementations.
  • Work across developers, NVIDIA architecture and software teams, and open technical communities to make the improvement last beyond a single engagement.

What we need to see:

  • 12+ years of relevant experience
  • A degree in Computer Science, Applied Mathematics, Physics, Mechanical Engineering, Computational Science, or a related field—or equivalent experience.
  • A record of delivering large, reproducible performance improvements in production numerical, simulation, graphics, CAE, robotics, or scientific-computing systems.
  • Expert modern C++ and GPU parallel-programming ability, backed by strong foundations in mathematics, physics, numerical methods, geometry, or performance modeling.

Ways to stand out from the crowd:

  • Deep experience with physics engines, numerical solvers, geometry processing, differentiable simulation, or large-scale batched simulation.
  • Experience with CUDA, Warp, Newton, PhysX, Isaac Sim, Isaac Lab, MuJoCo, JAX, or comparable accelerated-computing systems.
  • A history of carrying important technical work beyond the breakthrough through integration, maintenance, documentation, and the success of other developers.
  • Publicly inspectable stewardship of a consequential open-source engine, library, standard, benchmark, or software framework. Your implementation and technical leadership must be visible in the artifact itself.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
224,000 USD – 356,500 USD for Level 5; and 272,000 USD – 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Source: NVIDIA on Workday · View original posting (opens in new tab)

This range next to 6 other live NVIDIA roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live NVIDIA roles with the nearest advertised base floor
RolePublished base
Senior Developer Technology Engineer - Simulation Performance (this listing)$224,000 - $431,250
Senior Full-Stack Lead Engineer$224,000 - $356,500
Senior Developer Relations Manager, Data Platforms$224,000 - $431,250
Senior Developer Relations Lead, AI-Enabled Drug Discovery Science$224,000 - $431,250
Manager, Solutions Architecture - AI Infrastructure Build Readiness$224,000 - $356,500
Senior Research Engineer - AI Coding Tools$224,000 - $431,250
Senior Retail Developer Relations Manager, Digital Commerce$224,000 - $431,250

Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-30
Where this pay comes from

Location as the employer wrote it: US, CA, Santa Clara (Levels 5-6 combined)

224,000 USD – 356,500 USD for Level 5; and 272,000 USD – 431,250 USD for Level 6.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.