
Director, Engineering at GenBio AI (Palo Alto, CA)
GenBio AI· Palo Alto, CA· $300k–$400k·
Role details
Job description
GenBio AI is building the Virtual Cell World Model - a persistent, multimodal AI system that predicts, simulates, and ultimately programs cellular behavior. Rather than producing isolated predictions, the Virtual Cell enables scientists to query cellular states, perform virtual perturbations, and design new biological interventions within a unified computational world. Together with AIDO Foundry, our AI-native engineering framework for automating Virtual Cell development, we are building the software infrastructure for the next generation of AI-driven drug discovery. As our team scales, we are seeking a highly execution-oriented Director of Engineering to drive a culture of engineering excellence and rapid delivery at our Palo Alto office. The core objective of this role is to translate our long-term vision into actionable engineering roadmaps, enforce rigorous timelines, and successfully operationalize our research into production-grade systems.
Responsibilities
- Translate high-level vision into concrete, actionable engineering roadmaps, driving a high-tempo shipping cadence and ensuring the team consistently hits critical product and infrastructure milestones on strict timelines.
- Actively contribute to the codebase as a hands-on engineering leader, writing code, reviewing pull requests, and setting the technical bar while coordinating complex efforts across diverse product and infrastructure teams.
- Build the critical operational bridge between research and engineering, architecting solutions to transition cutting-edge, experimental foundation models into robust, scalable, and highly available production systems.
- Instill a relentless culture of rigor, velocity, and code quality by defining and enforcing uncompromising standards for automated testing, CI/CD pipelines, and optimal developer experience.
- Actively manage, mentor, and level up both junior and senior engineers, providing hands-on coaching, performance feedback loops, and architectural guidance to maximize their growth and technical output.
- Partner closely with the executive leadership team and AI research leads to proactively identify critical path dependencies, clear blockers, and align technical execution with the company’s ambitious scientific and commercial goals.
Qualifications
- Extensive engineering experience (10+ years), with at least 5 years in senior leadership roles, demonstrating a proven track record of managing managers, scaling high-performing teams, and maintaining hands-on technical proficiency.
- Exceptional technical expertise in modern AI infrastructure, with deep, hands-on experience building, scaling, and deploying complex generative AI products and massive foundation models into production environments.
- Demonstrated execution-oriented mindset with the ability to swiftly transition complex, ambiguous technologies from a conceptual R&D phase into a highly reliable, commercial-grade enterprise platform.
- Deep architectural understanding of high-performance computing, strategic GPU cluster optimization, and the unique distributed systems challenges involved in training and serving foundation models at scale.
- Outstanding cross-functional orchestration skills, with the ability to manage complex project timelines and keep diverse, fast-moving teams focused on critical deliverables.
Preferred Qualifications
- Domain knowledge or prior experience working within computational biology, genomics, drug discovery, or integrating AI into scientific software platforms.
- Familiarity with building robust internal developer platforms, complex MLOps pipelines, or unified frameworks (similar to our AIDO Foundry) to accelerate AI deployment.
- Prior experience at an early-stage, hyper-growth AI startup, demonstrating the ability to thrive in a highly ambiguous and fast-paced environment.
Join us as we embark on this journey to redefine the future of biology and medicine. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 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. For more information on E-Verify, please visit e-verify.gov. #LI-DNI
Why work at GenBio AI
- Mission-Driven Culture: A shared commitment to transforming biology through AI, with a focus on responsible AI practices and ethical oversight. The company emphasizes ambitious, game-changing goals.
- Cross-Disciplinary Collaboration: Research and engineering blend seamlessly—scientists engage in software development, engineers participate in biological research. All technical hires are “Members of Technical Staff.”
- Flexible Work & Global Hubs: Most roles require regular presence in Palo Alto, Paris, or Abu Dhabi, but the company offers 52 flexible remote workdays per year per local policy. Relocation support is provided.
- Competitive Compensation: Includes competitive salary, equity, robust retirement plan matching, performance recognition, and regular reviews.
- Generous Benefits: Premium health, dental, and vision coverage, mental health resources, fixed PTO, generous parental leave, annual education stipend, home office stipends, and commuter benefits.
- Rapid Growth & Impact: With 84.8% headcount growth in the past year and only 53 employees, new hires have direct impact on the company’s foundational technology and strategy.
- Open Roles (as of search date): Product Engineer (Palo Alto, on-site) and Research Scientist, Applied Science (Palo Alto, on-site). Internship applications accepted via Lever.