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Responsibilities
- Manufacturing Process Development: Develop optimized, scalable manufacturing processes for robotics components and modules — from component-level DFM through process bring-up and line qualification at supplier sites
- Quality Engineering: Define quality characterization, inspection methodologies (FAI/CPK, MSA, OQC/IPQC/IQC), and qualification standards; oversee module qualification processes and OK2X execution
- Tooling & Fixture Development: Develop end-to-end process strategies and fixture/process bring-up solutions that provide a clear path to mass production
- Supplier Technical Management: Assess supplier capabilities, equipment readiness, and scalability; contribute to SPOR (Supplier Plan of Record) scorecards and drive vendor capability development
- Design for Manufacturability (DFM): Provide early DFM feedback to Product Design and Industrial Design teams, identify manufacturing process risks before architecture lock, and ensure design intent is preserved through production
- Cross-Functional Collaboration: Partner with Hardware Engineering, Quality, Reliability, TPM, and Strategic Sourcing teams across all phases of the product development lifecycle
- Issue Resolution: Debug manufacturing issues (yield, cosmetics, dimensions) at supplier sites from NPI through ramp; identify root causes and implement corrective actions, apply AI-assisted analysis to identify patterns and support preventive measures
Minimum Qualifications
- BS/MS in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, Industrial Engineering, Materials Science, or extensive experience in a related field
- 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 (painting, anodization, coating), or PCBA assembly
- Demonstrated ability to drive DFM, process optimization, and quality improvement at supplier sites
- Experience with GD&T, statistical process control (SPC/CPK), and measurement system analysis (MSA)
- Strong understanding of NPI lifecycle from prototype (EVT/DVT/PVT) through mass production ramp
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience with failure analysis and troubleshooting cosmetic and functional coating defects
- Experience in managing multiple suppliers across and/or multiple projects
- Willingness to travel domestically and internationally (up to 25–40%) to supplier sites
Preferred Qualifications
- Experience managing multi-supplier programs and driving process standardization across vendors
- Experience in robotics, consumer electronics, automotive, or medical device manufacturing
- Strong project management skills with ability to manage multiple concurrent NPI programs
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Knowledge of advanced surface finishing processes (CMF, softgoods, functional coatings)
- Familiarity with electromechanical assemblies (motors, actuators, cable assemblies)
- Background in supplier qualification, audit, and capability assessment (supplier scorecard evaluation)
- Proficiency with metrology equipment and inspection methodologies (CMM, optical measurement, CT scanning)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Experience with FMEA, 8D, and root cause analysis methodologies
$173,000/year to $245,000/year + bonus + equity + benefits
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