Drimva

Meta

Supplier Development Engineer, Robotics

$173K–$245K

Redmond, WA · Full-time · Posted Aug 28, 2026

Experience
10+ years; no alternatives stated.
Education
BS/MS in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, Industrial Engineering, Materials Science, or extensive experience in a related field.

About the job

Develops supplier manufacturing processes, quality systems, and production readiness to ramp robotics hardware from prototypes to mass production.

What you'll do

  • Develop and qualify scalable manufacturing processes, tooling, and fixtures at supplier sites.
  • Define quality and inspection standards, oversee qualification, and resolve supplier manufacturing issues through root-cause analysis and corrective actions.
  • Assess supplier capabilities and collaborate with design, engineering, operations, and sourcing teams to improve manufacturability and production readiness.

What they ask for

  • 10+ years of experience in supplier development, manufacturing engineering, or process engineering in a hardware product environment.
  • Hands-on experience with manufacturing processes such as CNC machining, injection molding, die casting, sheet metal fabrication, surface finishing, or PCBA assembly.
  • Experience with GD&T, statistical process control (SPC/CPK), and measurement system analysis (MSA).
  • Demonstrated ability to drive DFM, process optimization, and quality improvement at supplier sites.

Nice to have

  • Experience in robotics, consumer electronics, automotive, or medical device manufacturing.
  • Knowledge of advanced surface finishing processes (CMF, softgoods, functional coatings).

Pay

$173,000/year to $245,000/year (base salary); bonus and equity amounts not stated

Tools

CNC machining, injection molding, die casting, sheet metal fabrication, PCBA assembly, GD&T, SPC/CPK, MSA

AI focus

Apply AI-assisted analysis to identify manufacturing issue patterns and support preventive measures; integrate AI tools to improve workflows and measurable outcomes; maintain AI skills and apply responsible, ethical AI practices.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)