Full-Time

Senior Product Manager

Genomics

Posted on 11/14/2025

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$168k - $258.8k/yr

+ Equity

Company Historically Provides H1B Sponsorship

Remote in USA

Remote

Category
Product (1)
Required Skills
Product Management
Machine Learning
Requirements
  • Masters, PhD, or equivalent experience in computational biology, bioengineering, or biophysics.
  • Deep expertise in sequencing technologies and bioinformatics pipelines, including related emerging areas (graph genomes).
  • Demonstrated understanding of algorithmic and bioinformatics applications in genomics, including genome assembly, secondary analysis, and applications in diagnostics and precision medicine.
  • 8+ or more years of product management experience, with proven delivery of software tools, libraries, and SDKs.
  • Experience with deep learning in genomics including applications in variant calling, pathogenicity detection, and genomic foundation models.
  • Outstanding interpersonal and communication skills, with a demonstrated ability to articulate concepts and value propositions to diverse audiences.
Responsibilities
  • Define and nurture product vision, strategy, and roadmap for Parabricks and underlying libraries for genomics data generation and processing in the life sciences.
  • Gather insights from key customers, developers, and partner with Solutions Architects, Alliance Management, and Business Development on broader market signals to set requirements and priorities.
  • Work closely with engineering leadership to deliver on our product roadmap.
  • Engage key customers, academic collaborators, bioinformatics developers, and industry partners to capture insights, validate concepts, and drive adoption.
  • Define the go-to-market strategies and contribute to product positioning and sales enablement.
  • Work with product marketing and technical marketing engineering to assist in creating technical content that communicates your products' value proposition to the world.
Desired Qualifications
  • Hands-on contributions to multi-omics tooling used by the community.
  • Background with large scale genomics workflows and cloud deployments.
  • Domain knowledge and the ability to generate meaningful biological insights and interpretations from complex, multi-omic datasets are a plus.
  • Experience in the analysis and interpretation of copy number variation, gene fusions, transcriptome (RNA-seq) data, whole genome sequencing (WGS), methylation assays, or proteomics experiments.
  • Experience in zero-to-one product ideation and delivery, productizing bioinformatics and AI/ML models for genomics applications.
  • Background in multi-species applications of genomics in biomedicine, bio-manufacturing, or agriculture and experience with NVIDIA GPUs (CUDA) and our HPC+AI software stack.

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Agentic AI adoption at scale drives major inflection in inference demand globally.
  • Jensen Huang projects $3T-$4T global AI factory buildout through 2030.
  • Data centre networking revenue surged 263% YoY to $10.98B in Q4 FY2026.

What critics are saying

  • Nemotron 3 open weights enable AMD and Intel to replicate NVIDIA's software moat.
  • Insider selling over three months signals executive doubt about sustaining 73% growth.
  • $30B OpenAI investment exposes NVIDIA to catastrophic losses from governance collapse.

What makes NVIDIA unique

  • Vera Rubin launching July 2026 reduces inference token costs tenfold versus Blackwell.
  • Nemotron 3 Nano Omni achieves 9x higher throughput on consumer hardware like RTX 4090.
  • Clear datacenter product roadmap extends through 2028 with Feynman arriving in 2028.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-3%

2 year growth

-2%
The Associated Press
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Matlantis has integrated NVIDIA's ALCHEMI Toolkit into its materials simulation platform to accelerate industrial materials discovery. The company previously incorporated NVIDIA Warp-optimised kernels, achieving up to 10x speed improvements in atomistic calculations. The integration includes LightPFP, Matlantis' lightweight potential for large-scale simulations, which uses a server-based architecture with NVIDIA ALCHEMI Toolkit-Ops to reduce communication bottlenecks. Matlantis plans to integrate its flagship Universal Machine-Learning Interatomic Potential with the toolkit to further enhance GPU efficiency. Launched in 2021, Matlantis is a cloud-based atomistic simulator jointly developed by PFN and ENEOS. The platform uses deep learning to increase simulation speeds by tens of thousands of times and serves over 150 companies discovering materials including catalysts, batteries and semiconductors.

CNBC
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Nvidia shares have climbed 18% over a ten-day winning streak, the longest since 2023. The stock is trading about 8% below its October all-time high of $212.19. CEO Jensen Huang revealed at last month's GTC conference that Nvidia has over $1 trillion in GPU orders through 2027, including Blackwell and next-generation Vera Rubin chips. Data centre revenue surged 75% year-over-year and now comprises 88% of the business, a dramatic shift from five years ago when gaming dominated. The rally follows major deals including Meta's February commitment to deploy millions of Nvidia chips across its global data centres. On Monday, Nvidia denied rumours it was pursuing acquisitions of PC makers Dell or HP. The company also unveiled Ising, a new family of open-source models for quantum computing.

Yahoo Finance
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Yahoo Finance
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Yahoo Finance
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Nvidia and Dell Technologies are positioned as attractive AI infrastructure investments ahead of their May earnings reports, according to recent analysis. Both companies supply critical hardware for AI computing, with demand for AI capacity continuing to outpace available resources across major cloud services. Nvidia shares have remained flat for six months despite strong fundamentals. Last quarter, its data centre business generated $62 billion in revenue, up 75% year over year, with a 75% gross margin. The company expects over $1 trillion in cumulative orders for its Blackwell and upcoming Rubin chips through 2027. Trading at 17 times next year's expected earnings, Nvidia's valuation appears discounted relative to its 66% revenue growth in fiscal year 2026. Dell Technologies similarly stands to benefit from the AI infrastructure build-out. Both companies report earnings in May.

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