Director, Engineering

GenBio.ai, Inc.; Palo Alto, Northern (CA, KY); Hybrid; USD 300,000 - 400,000; Full time

Job summary

GenBio AI, Inc. in Palo Alto is seeking a Director of Engineering to translate a bold research agenda into production-grade systems.

You will lead, code, and mentor across product and infrastructure teams to ship features on tight timelines. You will establish rigorous testing, CI/CD, and platform standards, while scaling a growing team and aligning technical delivery with ambitious biological and commercial goals.

Qualifications

• 10+ years engineering experience with senior leadership roles.
• Hands-on engineering leadership across product and infrastructure teams.
• Deep expertise in AI infrastructure, deployment, and production systems.
• Experience scaling GPU clusters and distributed systems for foundation models.

Responsibilities

• Translate high-level vision into concrete roadmaps and drive timely delivery.
• Contribute to codebase as hands-on leader, review PRs, set technical bar.
• Architect solutions to move research into robust production systems.
• Define testing, CI/CD pipelines, and developer experience standards.
• Mentor and elevate junior and senior engineers with feedback and guidance.
• Coordinate with executives and research leads to align execution with goals.

Skills

10+ years experience

Senior leadership

AI infrastructure

Hands-on coding

Cross-functional leadership

Tools

MLOps pipelines

Unified AI platform

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.

$300,000 - $400,000 a year

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 www.e-verify.gov. #LI-DNI