Multiply Labs

Multiply Labs

Robotics Field Engineer

Los Angeles

Sponsorship not specified$90k-$160kDetected 155 days ago
PythonAWSGrafanaData VisualizationRoboticsCommunicationOrganizational SkillsGxP

About the role

  • This role is for a proactive, organized problem-solver dedicated to maintaining high-uptime systems that have a direct impact on patient lives.
  • System Triage & Recovery: Serving as the first line of defense for the robotic cluster, executing software recovery procedures, and utilizing mechanical familiarity to identify potential error causes.

Responsibilities

  • Why This Matters We don't just build robots; we build the infrastructure for the next generation of biologics manufacturing.
  • Build the world's best robots to make life-saving therapies accessible to all.
  • You will collaborate daily with internal and external teams to coordinate operations, manage material workflows, and ensure the reliability of our automated manufacturing systems.
  • Referral bonuses for helping us build a world-class team.
  • Great people, meaningful work, and a team that genuinely believes in what we're building.
  • Come build the world's best robots-and help make life-saving therapies accessible to all.
  • We're committed to building a team where everyone feels valued, respected, and empowered to do their best work.

Requirements

  • Bachelor's degree in Engineering (Mechanical, Electrical, Software), Robotics, or a related discipline.
  • 2+ years of professional experience in field engineering, system integration, or a related technical role.
  • Familiarity with Python, with the ability to read code and write basic scripts for testing and automation.
  • Mechanical aptitude with the ability to troubleshoot electromechanical systems and identify hardware vs. software root causes.
  • Familiarity with AWS deployments, managing production environments, and troubleshooting cloud-connected hardware.
  • Experience with laboratory automation or working in GxP/regulated environments.
  • Experience using data visualization tools (e.g., Grafana, Tableau) to monitor cluster performance and reliability trends.
  • Ability to reach, stoop, crouch, and kneel
  • Ability to lift up to 25 pounds (e.g., equipment, replacement parts, tools) and lift up to 5 pounds overhead.
  • Manual dexterity required for using hand tools, cabling, and making mechanical adjustments.
  • Excellent organizational skills and the ability to manage complex schedules in a fast-paced startup environment.
  • Strong communication skills, capable of bridging the gap between technical engineering teams and operational goals.
  • Nice to Haves
  • Physical & Working Conditions
  • this specifically includes the need to physically enter, stand, or crouch inside a robotic cluster for maintenance, cleaning, or intervention.

Compensation

  • Salary range of $90,000 - $160,000 a year plus meaningful early-stage equity.
  • We want our team to have a real stake in the future we're building.
  • Wealth Building: 401(k) with a 4% company match to help you plan for the long term.
  • Pre-Tax Commuter Benefit: Pay for eligible transit and parking with pre-tax dollars to save on commuting costs.
  • No Set Hours: Set your own schedule in alignment with your manager and team. We hold a high bar, measuring success by impact and outcomes - not hours logged.

Benefits

  • Flexible PTO and 12 Paid Holidays, trusting you to manage your time and recharge when you need it.

Company info

  • 401(k) with a 4% company match to help you plan for the long term.
  • Multiply Labs is a robotics company on a mission to solve a significant bottleneck in modern medicine: the manufacturing of life-saving advanced biologics, from gene and cell therapies to antibodies and more.
  • If you're excited about our mission and think you can contribute, we'd love to hear from you.

Visa & Work Authorization

  • H-1B and Green Card sponsorship available for exceptional talent.

This listing is sourced directly from Multiply Labs's careers page and normalized into a canonical job model.