Manager, Molecular Simulation Engineering

Reposted 19 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
224K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead and develop the MD Simulation Engineering team, focusing on GPU-accelerated simulation software and managing cross-functional partnerships to drive project success.
Summary Generated by Built In

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 hands-on technical manager to lead our MD Simulation Engineering team — a focused group whose mission is to enable biological simulation engines at scale.

You will lead a team of engineers building the GPU-native simulation software the scientific community depends on. This role combines player and mentor responsibilities. You will maintain technical credibility throughout the group's efforts and guide architectural decisions. You also be responsible for the roadmap, coordinate dependencies with NVIDIA and external partners, and support team growth.

What You'll Be Doing:

  • Lead, hire, and develop software engineers within a collaborative unit; build a culture of ownership, engineering excellence, and direct collaboration with researchers and authorities in the field.

  • Define vision, strategy, and roadmap for the division's GPU-accelerated simulation software.

  • Own end-to-end delivery across multiple workstreams; align partners, lead cross-team dependencies, and drive predictable execution.

  • Partner with Applied Science teams to translate research prototypes into production-quality, benchmarked software.

  • Build and maintain relationships with the community dedicated to molecular dynamics' modeling to ensure the team is delivering what the community needs.

  • Drive engineering completion: code quality, CI/CD, multi-SKU validation, and documentation standards.

  • Communicate progress, risks, and decisions clearly.

What We Need to See:

  • 8+ overall years of software engineering experience, including 3+ years being responsible for an engineering team with direct reports.

  • Strong technical foundation in GPU computing and high-performance scientific software; ability to review builds, influence architectural directions, and maintain a high engineering standard across the team's work.

  • Experience shipping production GPU libraries, scientific computing software, or developer-facing APIs — you understand what it takes to go from prototype to a product that external developers depend on.

  • Familiarity with molecular dynamics simulation concepts (force fields, electrostatics, neighbor lists, periodic boundary conditions) sufficient to engage credibly with both colleagues and the MD simulator community.

  • Proven record to lead multi-functional dependencies, work across interpersonal boundaries without direct authority, and communicate technical progress clearly to senior leadership.

  • BS/MS in Computer Science, Computational Science, Physics, Chemistry, or a related field, or equivalent experience.

Ways to Stand Out from the Crowd:

  • You have shipped a GPU-accelerated scientific computing library or supplied to a major open-source MD simulation engine.

  • PhD-level education or comparable experience in computational chemistry, biophysics, applied mathematics, or computer science with a focus on HPC or scientific computing.

  • Experience with GPU compiler toolchains or kernel delivery mechanisms.

  • You have worked across the boundary between applied science and engineering — taking algorithmic research and turning it into a shipped, benchmarked product.

  • Active engagement in the MD simulation or computational chemistry community through publications, conference talks, or open-source contributions.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 26, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

Skills Required

  • 8+ years of software engineering experience
  • 3+ years of experience managing an engineering team
  • Strong technical knowledge in GPU computing and scientific software
  • Experience shipping production GPU libraries or scientific computing software
  • Familiarity with molecular dynamics simulation concepts
  • BS/MS in Computer Science or related field or equivalent experience

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

Similar Jobs

Wipfli Logo Wipfli

Payroll Support Specialist

Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Remote or Hybrid
United States
3000 Employees
19-25 Hourly

Uniphore Logo Uniphore

Vice President, Global System Integrators

Artificial Intelligence • Machine Learning
In-Office
2 Locations
465 Employees
200K-250K Annually

Uniphore Logo Uniphore

Director, AI Advisory

Artificial Intelligence • Machine Learning
In-Office
Palo Alto, CA, USA
465 Employees
200K-350K Annually

Uniphore Logo Uniphore

Sr. Strategic Client Executive

Artificial Intelligence • Machine Learning
In-Office
Palo Alto, CA, USA
465 Employees
290K-398K Annually

Similar Companies Hiring

Legora Thumbnail
Artificial Intelligence • Legal Tech • Software
Chicago, Illinois
700 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account