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Genesis AI

Robotics simulation and AI foundation platform

Senior Manager - Manufacturing, Robot Production

Manufacturing EngineeringUpdated on Nov 10
Full-timeSan Carlos, CA, USANo salary listed

About the Job

Requirements

  • You have taken a complex electromechanical product from prototype through pilot to volume and designed the process yourself, not inherited it; relevant products include robots, vehicles, drones, medical devices, and industrial equipment.
  • You have transferred a process to a contract manufacturer and held them to your standard.
  • You have a strong manufacturing engineering foundation, including time studies, line balancing, capacity planning, fixture and tooling design, test strategy, PFMEA and control plans, lean and continuous improvement; CAD and GD&T fluency.
  • You have hired and trained technicians, written certification criteria, and understand how trained people affect throughput.
  • You have run a quality gate and maintained it under schedule pressure.
  • You are on the floor every day and rigorous in the data.
  • You have 8 or more years in manufacturing engineering or production, including time in a mature organization, and 3 or more years leading people.
  • You can work in production and lab environments and travel to partner sites up to 25%.

Responsibilities

  • Design the production process, including layout and cycle time, line balancing, station and fixture design, end-of-line test and calibration, and material flow.
  • Plan capacity for stations, equipment, people, and hours by build phase, from first units to rate, and plan to add capacity ahead of demand.
  • Specify, source, and commission fixtures, tooling, and test equipment, including requirements, RFQs with Supply Chain, and acceptance at the vendor and on the floor.
  • Own process documentation under revision control, including work instructions with photos and video, PFMEA, control plans, inspection plans, and SOPs; keep the manufacturing bill of materials aligned with the engineering bill of materials and run engineering changes through to the floor.
  • Transfer production from engineering builds through pilot builds, provide DFM and DFA feedback with authority to push back, conduct build-readiness reviews at each phase gate, and release to volume.
  • Package the process into a documented set of stations, fixtures, tests, instructions, and training that a manufacturing partner can operate to the same yield.
  • Build and lead manufacturing engineers, test engineers, and technicians; manage hiring pace, training and certification, trainer capacity, and shift structure as volume grows.
  • Own the quality gate, including first-pass yield, defect capture, root cause analysis using 8D, SPC, and DOE where appropriate, and closed-loop feedback to engineering and suppliers; ensure no unit ships without quality approval.
  • Partner with Supply Chain on clear-to-build so that no unit starts without a complete kit, and work with the manufacturing partner to ensure its team follows the process standard.
  • Stand up production systems as the company grows, including serial-number traceability and MES, and report weekly yield, hours per unit, cost per unit, downtime, and schedule adherence to leadership.

Desired Qualifications

  • Experience with actuators, gearboxes, or precision assemblies.
  • Experience with PLM, MES, and ERP implementation.
  • Experience with product safety certification processes.

About the Company

Genesis AI

Robotics simulation and AI foundation platform

Genesis AI provides a unified platform that combines robotics simulation, high-fidelity rendering, physics, and foundation models to support development in robotics and AI. It operates as a platform-as-a-service and licensing option so teams can run large-scale simulations, train reinforcement learning agents, and develop generative models in realistic virtual environments where physics, geometry, rendering, and AI tooling work together. It differs from others by bringing together core capabilities from robotics simulation, real-time rendering, computational geometry, and AI model development into one cohesive platform, backed by a team with experience at Havok, Unity, Autodesk, Google, and Epic Games. Its goal is to become a foundational technology layer that speeds up robotics and AI innovation by enabling efficient simulation, testing, and model development in a single environment.

Company size
51-200
Company stage
Seed
Total funding
$105M
Headquarters
Paris, France
Founded
2024

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