Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
API @ 4
CI/CD
GPU @ 7
HPC @ 4
Leadership @ 6
Mathematics @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA BioNeMo is building the computational foundation for the next generation of biological discovery. The Molecular Dynamics Simulation Engineering team enables biological simulation engines at scale. This hands-on technical management role leads engineers building GPU-native simulation software for the scientific community, while guiding architecture, roadmap development, cross-team coordination, and team growth.
Responsibilities
- Lead, hire, and develop software engineers within a collaborative unit, fostering ownership, engineering excellence, and direct collaboration with researchers and field authorities.
- Define the vision, strategy, and roadmap for GPU-accelerated simulation software.
- Own end-to-end delivery across multiple workstreams, align partners, manage 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 molecular dynamics modeling community to ensure the team delivers what the community needs.
- Drive engineering completion, including code quality, CI/CD, multi-SKU validation, and documentation standards.
- Communicate progress, risks, and decisions clearly.
Requirements
- 8+ years of overall software engineering experience, including 3+ years of responsibility for an engineering team with direct reports.
- Strong technical foundation in GPU computing and high-performance scientific software, with the ability to review builds, influence architectural direction, and maintain high engineering standards.
- Experience shipping production GPU libraries, scientific computing software, or developer-facing APIs, with an understanding of taking prototypes to products that external developers depend on.
- Familiarity with molecular dynamics simulation concepts, including force fields, electrostatics, neighbor lists, and periodic boundary conditions.
- Proven ability to lead multifunctional dependencies, work across interpersonal boundaries without direct authority, and communicate technical progress clearly to senior leadership.
- BS or MS in Computer Science, Computational Science, Physics, Chemistry, or a related field, or equivalent experience.
Preferred Qualifications
- Experience shipping a GPU-accelerated scientific computing library or contributing to a major open-source molecular dynamics simulation engine.
- PhD-level education or comparable experience in computational chemistry, biophysics, applied mathematics, or computer science focused on HPC or scientific computing.
- Experience with GPU compiler toolchains or kernel delivery mechanisms.
- Experience translating algorithmic research into a shipped, benchmarked product across applied science and engineering teams.
- Active engagement in the molecular dynamics or computational chemistry community through publications, conference talks, or open-source contributions.
Benefits
NVIDIA offers competitive salaries, equity, and a comprehensive benefits package. The role is eligible for benefits and equity.
Applications for this job will be accepted at least until May 26, 2026. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.
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