NVIDIA

AI

Manager,MolecularSimulationEngineering

$224–357k Santa Clara, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Manager, Molecular Simulation Engineering at NVIDIA. Skills: Molecular Simulation Engineering, GPU-native simulation software, Team leadership. Lead software engineers. Hire software engineers”

What You'll Achieve.

enable biological simulation engines at scale; delivering what the community needs

Industry & Context.

AI

What They're Looking For.

Must Have

8+ overall years of software engineering experience, 3+ years being responsible for an engineering team with direct reports, technical foundation in GPU computing, high-performance scientific ability, Experience shipping production GPU libraries, scientific computing software, developer-facing APIs, molecular dynamics simulation concepts, lead multi-functional dependencies, work across interpersonal boundaries without direct authority, communicate technical progress clearly to senior leadership

Nice to Have

shipped a GPU-accelerated scientific computing library, 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, kernel delivery mechanisms, worked across the boundary between applied science and engineering, Active engagement in the MD simulation or computational chemistry community

What You'll Do.

Lead software engineers

Hire software engineers

Develop software engineers

Own end-to-end delivery

Lead cross-team dependencies

Drive predictable execution

Partner with Applied Science teams

Translate research prototypes

Build relationships with community

Drive engineering completion

How You'll Work.

Team & Collaboration

collaborative build a culture; direct collaboration with researchers; align partners; lead cross-team dependencies; work across interpersonal boundaries

Communication Scope

Communicate progress, risks, and decisions clearly; communicate technical progress clearly to senior leadership

Process & Methodology

Own end-to-end delivery, drive predictable execution

Full Job Description

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 co

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