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Capable Labs in San Francisco is seeking a technical leader to own the physical systems behind our drug-development platform. You will guide system architecture and remain hands-on through prototyping and validation, shaping how Capable designs, tests, and improves reliable hardware.
You will collaborate with chemists, biologists, and software teams to decide what to automate next, while building clear standards, documentation, and development workflows for a growing hardware function.
We are a vibrant and intensely mission-driven team in San Francisco, comprising members from MIT, Harvard Medical School, Roche, ETH, and Dana-Farber.
We value speed and rigor, coupled with excitement, drive, and a strong work ethic. In an early-stage environment, we value people who can bring clarity to open-ended problems, take ownership of the next steps, and follow through with energy.
Capable Labs is a place for ambitious, high-integrity people who want to become dramatically better. You will be surrounded by people who care intensely about the work, get close feedback from the people making scientific and company-defining decisions, and have room to own increasingly important problems.
We believe excellent work should be met with meaningful reward, ownership, and trust. Responsibility is earned through contribution, not title alone: anyone who demonstrates the judgment, rigor, and follow-through to move important work forward can earn meaningful scope.
You will provide technical leadership for the physical systems behind Capable’s drug-development platform. Your work may span automated peptide synthesis, fluid handling, laboratory instrumentation, or subcutaneous drug delivery. You will own system architecture and the hardest cross-disciplinary decisions, remain hands‑on through prototype and validation, and help establish how Capable designs, tests, and improves reliable hardware.
Capable is an Equal Opportunity Employer; employment with Capable is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.