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About the Role
We are seeking a Mechanical Engineer to be responsible for transforming designs into functional hardware. This is a hands-on ownership role where you will manage a subassembly and its components from initial concept to validated hardware, collaborating with the engineering team on high-priority tasks. You will be involved in the entire build-test cycle, including designing, analyzing, fabricating, testing, and iterating on parts within the same week.
Responsibilities
- Own a subassembly and its parts through design, hand calculations, FEA, fabrication, assembly, and validation.
- Own supporting analysis, including hand calculations, tolerance stack-ups, fastener and material selection, and basic FEA.
- Build, assemble, and test your own parts on test fixtures and on the robot.
- Iterate quickly by revising parts within the same week based on test feedback.
Requirements
- 1-4 years of mechanical design experience (exceptional new grads with strong project or internship work are welcome to apply).
- Solid fundamentals in statics, materials, tolerance analysis, fasteners, and basic FEA.
- Experience building things, such as through student teams, shipped products, or working prototypes.
- Hands-on machining experience, as engineers may need to fabricate their own parts.
- Ability to work on-site in San Francisco 5 days/week, with potential for 6 days/week during crunch times.
- Experience at a hardware, robotics, aerospace, or automotive company.
- CAM experience (Fusion 360) or comfort programming your own toolpaths.
- Comfort using AI tools to enhance productivity.
Skills
- Mechanical design
- Hand calculations
- FEA
- Fabrication
- Assembly
- Validation
- Tolerance analysis
- Fastener selection
- Material selection
- Machining
- CAM
- Fusion 360
- AI tools
Location
- San Francisco
Work Type
- On-site
Experience Level
- 1-4 years
About the Company
- The datacenter buildout is the largest industrial project in human history.
- Gradient builds the autonomous robots that make this possible.
- Partnered with the world's largest AI infrastructure companies and backed by industry-leading investors.
- Operates with speed and builds full-stack systems that matter.