Senior Software Engineer - Digital Biology at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Healthcare, BiotechnologyIndustries

Requirements

3+ years of relevant experience
BS/MS in CS, EE, Math, Physics, or equivalent experience
Python, PyTorch expertise
Distributed training fundamentals: DDP/FSDP, NCCL, mixed precision, data/pipe/tensor parallelism
MLOps for AI: Linux, bash, containers (Docker/NGC), SLURM and/or Kubernetes
CI/CD and automation experience: GitHub Actions, YAML workflows, runners, authentication, caching, artifact stores, and release pipelines
Recognized for ownership and technical leadership, with excellent communication and a bias for action
Ability to work together in a tight-knit team environment

Responsibilities

Building reproducible test matrices across GPU SKUs, multi-node scale, and scientific parameters relevant to the biology space
Creating integration and performance test harnesses for large models
Productionizing AI algorithms, delivering production-quality models, libraries, and SDKs, while ensuring observability, reproducibility, and versioning
Developing and deploying distributed learning systems and tools to synchronize and debug workloads across multiple GPUs
Collaborating with research and engineering teams across all of NVIDIA to transfer research to products and services, and upstreaming to the open-source ecosystem
Diving into whatever is needed—infra, glue code, tests, or docs—to unblock the team
Mentoring emerging engineers

Skills

Python

PyTorch

Distributed Training

DDP

FSDP

NCCL

Mixed Precision

Data Parallelism

Pipe Parallelism

Tensor Parallelism

MLOps

GPU

Multi-Node

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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