GenBio AI
Staff / Principal Software Engineer
$250K–$350K
Palo Alto, CA · On-site · Principal · Full-time · Posted Aug 18, 2026
- Experience
- Typically 8+ years of industry experience; Staff or Principal level.
- Visa sponsorship
- GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees.
About the job
Build and lead development of the user-facing platform and backend systems for GenBio AI’s virtual cell products, integrating biological data, AI inference, and scientific workflows.
What you'll do
- Develop production-grade backend services and APIs for Virtual Cell products.
- Architect scalable systems for biological simulations, experiment management, workflow orchestration, and multimodal data processing.
- Collaborate with AI researchers and cross-functional teams to deliver reliable scientific products and improve platform performance and reliability.
What they ask for
- Typically 8+ years of industry experience at Staff or Principal level, with a track record building production web services, scalable APIs, and distributed backend systems.
- Strong software engineering fundamentals, including clean architecture, modular design, and maintainable, performant code.
- Hands-on experience integrating large-scale AI, LLMs, or machine learning inference systems into highly available production environments.
- Ability to solve ambiguous systems problems from concept through scalable execution, with strong communication and leadership skills.
Nice to have
- Domain experience in computational biology, genomics, transcriptomics, protein or molecular structures, healthcare, or scientific software.
- Experience with scientific simulation, laboratory experiment management, workflow orchestration, or unified computational frameworks for AI-native platforms.
Pay
USD 250,000–350,000 (per-year-salary) (base salary)
Tools
APIs, AI, LLMs
AI focus
Integrate AI foundation models and inference systems into scientific products for virtual perturbations and hypothesis generation.
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