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NVIDIA

Designs the chips and software that power AI

Senior Software Engineer - MD Simulation Engineering

Systems Software EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 8 years of software engineering experience with a strong background in CUDA and GPU programming.
  • Deep proficiency in C and C++, and comfort navigating and contributing to large, sophisticated codebases.
  • A 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 application programming interfaces.
  • A Bachelor of Science or Master of Science in Computer Science, Computational Science, Physics, Applied Mathematics, or a related field, or equivalent experience.

Responsibilities

  • Build, implement, and optimize CUDA kernels for core molecular dynamics simulation primitives.
  • Be responsible for end-to-end delivery of GPU-accelerated simulation math to external partners and the broader molecular dynamics ecosystem.
  • Integrate simulation primitives into major molecular dynamics engines.
  • Drive continuous integration and continuous delivery 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.

Desired Qualifications

  • Have supplied to or deeply used a major molecular dynamics simulation engine.
  • Experience with GPU compiler toolchains and kernel delivery mechanisms.
  • Hands-on implementation-level knowledge of SPME, Ewald summation, or other long-range electrostatics methods.
  • A PhD or equivalent experience in computational chemistry, biophysics, mathematical modeling, or computer science with a focus on high-performance computing or scientific computing.
  • Experience with mixed-precision or tensor-core-aware algorithm development for scientific workloads, as well as contributions to open-source molecular dynamics simulation or GPU computing projects.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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