NVIDIA

Technology

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-accelerated simulation software, MD Simulation Engineering. Lead software engineers. Hire software engineers”

Industry & Context.

Technology
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

8+ years software engineering experience, 3+ years managing engineering team, Technical foundation in GPU computing, Experience shipping production GPU libraries, Experience shipping scientific computing software, Experience shipping developer-facing APIs, Familiarity with molecular dynamics simulation concepts, Lead multi-functional dependencies, Work across interpersonal boundaries, Communicate technical progress to senior leadership, BS/MS in Computer Science or related field, Equivalent experience

Nice to Have

Shipped GPU-accelerated scientific computing library, Supplied to major open-source MD simulation engine, PhD-level education in computational chemistry, PhD-level education in biophysics, PhD-level education in applied mathematics, PhD-level education in computer science with HPC focus, Experience with GPU compiler toolchains, Experience with kernel delivery mechanisms, Worked between applied science and engineering, Active engagement in MD simulation community, Active engagement in computational chemistry community

What You'll Do.

Lead software engineers

Hire software engineers

Develop software engineers

Build culture of ownership

Build culture of engineering excellence

Build culture of direct collaboration

Define vision for simulation software

Define strategy for simulation software

Define roadmap for simulation software

Own end-to-end delivery

Lead cross-team dependencies

Drive predictable execution

Partner with Applied Science teams

Translate research prototypes

Build relationships with community

Ensure team delivers community needs

Drive engineering completion

Communicate decisions

How You'll Work.

Team & Collaboration

Collaborative build; Direct collaboration with researchers; Cross-team dependencies; Partner with Applied Science teams; Work across interpersonal boundaries

Communication Scope

Communicate technical progress clearly

Process & Methodology

Roadmap development, Dependency coordination, 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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