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Senior Solutions Architect – Drug Discovery

  • Company: NVIDIA
  • Location: California, US
  • Salary: $287,500/yr
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Nvidia at a glance

nvidia.com
  • Founded 1993
  • Employees 11528
  • Ticker NVDA
NVDA 196.93 USD +1.01%
  • Revenue (FY2026) $215.94B
  • Net income $120.07B

Investor research: Yahoo Finance · SEC filings

Federal funding recipient: largest known award $9K from the Department of Health and Human Services (started Jun 27, 2018) — via USAspending.gov

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10,681 employees covered under a retirement plan (2021 filing) — via DOL Form 5500 / EFAST2

Registered as a global legal entity (LEI 549300S4KLFTLO7GSQ80, US) — via GLEIF

Nvidia is a Santa Clara–based tech firm (ticker NVDA) known for GPUs, SoCs, and APIs used in AI, high-performance computing, data science, and automotive. Founded in 1993, it is a major player in accelerated computing. Company size in the data: about 11,500 employees.

201,031 Wikipedia views in June 2026 — a rough gauge of public visibility.

Source: Wikipedia · LinkedIn · X

NVIDIA is looking for a Senior Solutions Architect focused on Drug Discovery to join its accelerated computing organization in California. In this role, you will work directly with leading pharmaceutical and biotechnology companies to architect and deploy AI-powered solutions that transform modern research.

About the Role

This is a strategic technical position where you'll bridge NVIDIA's GPU-accelerated computing platform and the drug discovery industry. You'll partner with customers across the pharmaceutical and techbio sectors to implement and optimize foundation models—turning cutting-edge AI research into production-ready discovery pipelines.

What You'll Do

  • Engage with pharmaceutical and biotechnology customers to understand their research challenges and design GPU-accelerated solutions that address them
  • Guide customers through the full lifecycle of biological foundation models—from training and fine-tuning to deployment and scaling
  • Demonstrate the value and performance of NVIDIA's accelerated computing stack, including GPUs, frameworks, libraries, and specialized AI models
  • Collaborate with internal engineering, product, and research teams to ensure customer success and gather feedback for platform improvements
  • Author technical content, reference architectures, and best practices that help customers adopt NVIDIA's solutions for drug discovery workflows
  • Support pre-sales and post-sales activities, from technical evaluations through production implementations

What You'll Bring

  • Deep technical expertise in machine learning, AI, and accelerated computing on GPUs
  • Background in computational biology, biochemistry, drug discovery, or related life sciences disciplines
  • Experience architecting and deploying large-scale AI models in production environments
  • Strong communication skills and ability to translate complex technical concepts for diverse audiences
  • Proven track record working with enterprise customers in regulated industries
  • Familiarity with NVIDIA platforms, CUDA, or related GPU compute frameworks is a plus

About NVIDIA

NVIDIA is the global leader in AI computing. The company's GPU-accelerated platform powers research, enterprise AI, and accelerated computing across virtually every industry. NVIDIA's innovations in accelerated computing are helping solve humanity's most complex challenges.

How to Apply

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To apply for this job please visit www.adzuna.com.

What people say about Nvidia

Public chatter in the supplied sources is mixed and not employee-review based. Recent headlines cover competitive pressure in China, market-share narratives, a computing-framework profit-sharing note, and server-delay market reaction. Older Hacker News threads are general tech discussion, not NVIDIA workplace ratings—use them only as loose tech-community context.

Recent news

Aggregated from public discussions and news; opinions are the authors’ own.

Working in California, US

The role is listed for California (non-remote). Per California, the state sits on the Pacific Coast, borders Oregon, Nevada, Arizona, and Baja California, and is the most populous U.S. state. Expect a large tech-heavy labor market; city-level commute details are not in the data.

California is a U.S. state in the Western United States that lies on the Pacific Coast. It borders Oregon to the north, and Nevada and Arizona to the east; it also shares an international border with the Mexican state of Baja California to the south. With over 39 million residents across an area of 163,696 square miles (423,970 km2), it is the largest U.S. state by population and third-largest by

🇺🇸 Relocation safety for US: Exercise Normal Cautionvia Warnely, CC BY 4.0

National unemployment rate in US: 4.2%via World Bank

Private-sector wage growth (year over year): 3.3%via FRED

National quits rate: 1.9%via FRED (BLS JOLTS)

Weekly initial unemployment claims: 208,000via FRED

GDP per capita in US: $90,027via World Bank

Consumer price inflation in US: 2.9% (annual) — via World Bank

Real GDP growth in US: 2.2% (annual) — via World Bank

Average hours worked per year in US: 1,800via OECD

Home prices in California (year over year): +1.8%via FRED

    Source: Wikipedia (state)

    Build the skills for this role

    Prioritize: GPU/AI systems literacy, scientific computing or chemoinformatics exposure, solution design and stakeholder workshops, and clear technical communication. No certification family or costed resources were supplied—skip paid cert shopping until NVIDIA or role-specific guidance is given.

    • Walk a drug-discovery workflow and where accelerated computing helps
    • Whiteboard a reference architecture (data, models, scale-out, deployment)
    • Explain trade-offs vs CPU-only or cloud-generic stacks
    • Show customer-facing storytelling and objection handling

    Watch & learn

    Video via YouTube.

    Strong fit if you enjoy customer-facing architecture for AI/HPC in life sciences, can speak both scientist and engineer languages, and want NVIDIA’s accelerated-computing stack as the platform. Weaker fit if you prefer pure research coding or fully remote-only California work (listing is on-site/hybrid flag remote=0).

    Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.

    Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.

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    Listing facts

    • Role Senior Solutions Architect – Drug Discovery
    • Employer Nvidia
    • Location California, US
    • Type Full Time
    • Pay (from listing) $287,500/yr
    • Posted May 29, 2026
    • Apply by 2026-08-01
    • Country context US
    • Overview Full original description on this page (323 words; rewritten for clarity, not a teaser paste)

    Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.

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    Senior Solutions Architect – Drug Discover… NVIDIA