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Warp Sciences

AI-driven chemistry CRO for lead optimization

Member of Technical Staff - Robotics Hardware

Design EngineeringConfirmed live in the last 24 hours
Full-timeSouth San Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • Seven or more years of cradle-to-grave hardware design experience, preferably across multiple engineering domains.
  • Hands-on mechanical intuition and comfort building and working in the physical world.
  • A demonstrated track record of delivering complex hardware projects that work in real-world settings.
  • Strong debugging skills with integrated electrical, mechanical, and software systems.
  • Ability to use digital and physical tools to accelerate work and improve quality, including finite element analysis, Claude or Codex, computer-aided design, 3D printing, laser cutting, sheet-metal bending, milling, and lathe work.
  • Strong mechanical design and engineering fundamentals, including functional tolerance stackups, material properties, statics, dynamics, free-body diagrams, kinematic constraints, actuator selection and sizing, thermal considerations, and electronics packaging.
  • Experience managing and leveraging vendors, including communicating costs, lead times, and bottlenecks clearly to internal and external stakeholders.
  • Fundamentals of design for assembly and design for manufacturing, plus direct experience with manufacturing methods such as CNC machining, sheet-metal fabrication, overmolding, casting, and injection molding.
  • Capacity to work in ambiguous environments and add structure when there is no clear path forward.

Responsibilities

  • Identify and define high-impact automation opportunities in chemistry labs with chemists, AI researchers, software engineers, and hardware engineers.
  • Design and implement robotics and automation solutions from start to finish.
  • Assess when to prioritize learning velocity or execution velocity, when to run simulations or build prototypes, and when to use off-the-shelf hardware or build custom hardware.
  • Work with stakeholders across chemistry, AI, hardware, and software to define the appropriate scope for robotic systems the role designs and owns.
  • Understand organizational risks and prioritize work and its scope accordingly.
  • Design and build mechanisms, end effectors, workcells, and custom machines for automating scientific workflows.
  • Build physical data-collection systems for chemists to use in the lab.
  • Manage vendors and use outside design resources when appropriate, practical, or expedient.
  • Help define the engineering culture.

Desired Qualifications

  • Robotics-specific experience, including actuator selection, sizing, and implementation; mechanism design; sensor selection and integration; communication protocol trade-offs; knowledge of off-the-shelf robotics hardware; and firmware.
  • Knowledge of the strengths and limitations of AI-trained policies and traditional automation solutions, and experience adapting tasks and physical environments to make automation successful.
  • Ability to integrate software learnings into hardware design and hardware learnings into software architecture choices.
  • Experience building hardware or software for physical AI data collection, including teleoperation, UMI, or kinesthetic teaching.
  • Experience building and managing data-collection efforts.
  • Working knowledge of electronics and designing basic custom printed circuit boards.
  • Prior startup experience and interest in working on small teams.
  • Experience with design for reliability and functional safety, including FMEA and HIRA/HAZOP.
  • Accelerated lifecycle testing.
  • Experience in organic chemistry, medicinal chemistry, or biotechnology.

About the Company

Warp Sciences

AI-driven chemistry CRO for lead optimization

Warp Sciences is a US-based chemistry contract research organization (CRO) that combines chemists, artificial intelligence, and robotics to create and test molecules for biotech and pharmaceutical companies. It does not own a drug pipeline; customers decide which molecules to pursue and retain control of their drug programs. Its initial service is lead-optimization analog synthesis, where variations of promising molecules are produced and compared by research teams to select drug candidates. Chemists design experiments while the lab becomes increasingly automated; data from experiments trains AI models that help run the lab more efficiently. Customers pay per compound delivered. The company aims to bring discovery chemistry work back to the United States and was founded by Kevin Weil, DJ Patil, Sol Reisberg, and Mano Paluri, with backing from investors like Lightspeed and Mayfield.

Company size
1-10
Company stage
Early VC
Total funding
$215M
Headquarters
South San Francisco, CA
Founded
2026

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