Senior Mechanical Engineer

Gradient Robotics

$120K — $150K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in designing precision electromechanical systems for deployment
  • Expertise in structural and precision mechanical design including ball screws and kinematic constraints
  • Proficient in both FEA and hand calculations for mechanical design verification
  • Demonstrated ability to own subsystems from concept to hardware at a dynamic company
  • Ability to navigate ambiguity with a strong inclination towards building and testing
  • Hands-on machining experience for custom part fabrication
  • Willingness to work on-site in San Francisco 5 days a week, with flexibility during peak periods

Responsibilities

  • Own the design and validation process of a core mechanical subsystem from start to finish
  • Design precision motion systems including actuators and bearings to meet strict specifications
  • Make design decisions driven by first-principles analysis across various mechanical domains
  • Utilize the in-house machine shop to rapidly manufacture designed components
  • Collaborate closely with controls and firmware engineers for integrated system performance

Benefits

  • Opportunity for significant ownership and rapid career growth
  • Engagement with cutting-edge technology that scales AI infrastructure
  • Collaborative work environment with access to an in-house machine shop and skilled technicians
  • Strong emphasis on hands-on work with both design and fabrication responsibilities
  • Work embedded within a dedicated team in a vibrant city like San Francisco
Full Job Description
About the role

We're looking for a Senior Mechanical Engineer to be the backbone of how Gradient Robotics designs and ships precision hardware. This is intentionally a deep ownership role. You'll own a core mechanical subsystem end to end while partnering closely with the rest of the engineering team on whatever is highest leverage at any given moment. This is a role for someone who loves taking a system from first principles to deployed hardware: you'll see a hard design problem, work it out on paper, validate it in the real world, and carry it all the way through fabrication and assembly. You'll touch every stage of the product, which means real ownership and room to grow quickly. The impact is significant: the subsystems you design become the machines that scale AI infrastructure worldwide, and nothing you own gets handed off halfway.

Responsibilities
  • Own a core mechanical subsystem end to end: design, hand calcs, FEA, fabrication, assembly, and validation
  • Own precision motion and structural design: linear stages, actuators, bearings, and drivetrains built to tight tolerances under significant loads and moments
  • Drive design decisions with first-principles analysis and trade studies across materials, stiffness, precision grade, and load paths
  • Leverage our in-house machine shop and technician team to get your designs manufactured quickly
  • Integrate tightly with controls, firmware, and software at the system level so the mechanical design works as part of the whole machine


Minimum Qualifications
  • 5+ years designing precision electromechanical systems that shipped or were deployed
  • Deep competence in structural and precision design: ball screws, rack-and-pinion, bearings, kinematic constraint, and tolerance stack-ups
  • Strong FEA and hand-calc fluency: you work things out on paper before you trust the sim
  • Track record owning subsystems end-to-end at a fast-moving hardware company (robotics, aerospace, automotive, or similar)
  • Comfort with ambiguity and a strong build-and-test instinct
  • Hands-on machining experience: we have great technicians, but sometimes we make our own parts too
  • Able to work on-site in San Francisco 5 days/week (6 days/week if needed during crunch time), embedded in the team


Preferred Qualifications
  • Experience at a robotics, aerospace, or automotive company shipping precision hardware
  • Experience taking a subsystem from clean-sheet concept through deployment in the field
  • Comfort using AI tools to multiply your own output

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