Senior Software Engineer — MD Simulation Engineering
Company websitenvidia.com (NVIDIA, opens in new tab)
Base salary $184,000 to $356,500
Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSanta Clara, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (20 min ago) · observed since
About this job
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA BioNeMo is building the computational foundation for the next generation of biological discovery. We are looking for a Senior Software Engineer to join our MD Simulation Engineering team, whose mission is to enable biological simulation engines at scale.
This team builds the GPU-native simulation software that powers molecular dynamics at scale. We work at the intersection of GPU computing and computational biology — delivering high-performance math primitives that simulation software depends on to fully exploit NVIDIA hardware across GPU generations. The work spans kernel engineering, software architecture, and direct collaboration with the MD simulation ecosystem. If you want to define how scientific simulation is accelerated on modern hardware and see your work in the hands of researchers worldwide, this is the role.
What You Will Be Doing:
Build, implement, and optimize CUDA kernels for core MD simulation primitives
Be responsible for the end-to-end delivery of GPU-accelerated simulation math to external partners and the broader MD ecosystem
Integrate simulation primitives into major MD engines
Drive CI/CD infrastructure for multi-SKU kernel builds, automated performance regression testing, and cross-simulator validation across NVIDIA GPU generations.
Collaborate with Applied Science teams to evaluate new algorithms and translate research prototypes into production-quality, shipped software.
What We Need to See:
8+ years of software engineering experience with a strong background in CUDA and GPU programming.
Deep proficiency in C and C++; comfort navigating and chipping in to large, sophisticated codebases.
Strong foundation in high-performance computing
Familiarity with molecular dynamics simulation concepts
Experience building or supplying to scientific software libraries, simulation engines, or developer-facing GPU APIs.
BS/MS in Computer Science, Computational Science, Physics, Applied Mathematics, or a related field, or equivalent experience.
Ways to Stand Out from the Crowd:
You have supplied to or deeply used a major MD simulation engine
Experience with GPU compiler toolchains, kernel delivery mechanisms
Hands-on knowledge of SPME, Ewald summation, or other long-range electrostatics methods at the implementation level.
PhD or equivalent experience in computational chemistry, biophysics, mathematical modeling, or computer science with a focus on HPC or scientific computing.
Experience with mixed-precision or tensor-core-aware algorithm build for scientific workloads as well as contributions to open-source MD simulation or GPU computing projects.
With competitive salaries and a generous benefits package (www.nvidiabenefits.com ), we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
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:184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
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)
Pay in context
This role's base floor ($184,000) is above 56% of the 4,302 Software Engineering roles in California listed on this site; 123 others list the same floor. Their median floor is $176,000; the middle half runs from $149,100 to $203,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingSenior Software Engineer — MD Simulation Engineering$184,000 to $356,500
Senior Software Engineer, Subnet Management$184,000 to $356,500
Senior Software Engineer, AI Networking$184,000 to $356,500
Senior Software Engineer, Machine Learning Safety$184,000 to $356,500
Senior Firmware Security Architect, Networking$184,000 to $356,500
Senior Compiler Engineer - AI$184,000 to $287,500
Senior System Software Engineer, Performance - CUDA Driver$184,000 to $356,500
Chart as a table
| Role | Published base |
|---|---|
| Senior Software Engineer — MD Simulation Engineering (this listing) | $184,000 - $356,500 |
| Senior Software Engineer, Subnet Management | $184,000 - $356,500 |
| Senior Software Engineer, AI Networking | $184,000 - $356,500 |
| Senior Software Engineer, Machine Learning Safety | $184,000 - $356,500 |
| Senior Firmware Security Architect, Networking | $184,000 - $356,500 |
| Senior Compiler Engineer - AI | $184,000 - $287,500 |
| Senior System Software Engineer, Performance - CUDA Driver | $184,000 - $356,500 |
Observed changes
- First observed on the employer's board
- 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 4-5 combined)
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
- 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.
