Waabi에서 자율주행 트럭 및 로봇택시 하드웨어의 양산을 책임질 Manufacturing Engineer를 채용합니다. APQP/PPAP 관리 경험과 DFM/DFA 역량이 필수이며, Tier 1 또는 위탁 제조사에서의 하드웨어 런칭 경험이 중요합니다. GD&T, Metrology, 8D 문제 해결 능력을 갖춘 분을 찾습니다. 혁신적인 물리 AI 기술을 함께 발전시킬 인재의 많은 지원 바랍니다.
Pittsburgh, PA
Hardware – Mechanical Engineering /
Full-time /
On-site
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
Drive APQP Program Management at CM/Tier 1 sites, owning APQP to ensure a flawless Start of Production (SOP) and obtain PPAP deliverables.
Design for Manufacturing (DFM) & Assembly (DFA): Provide design maturity feedback during APQP Phase 2, ensuring that the hardware can be built repeatedly with the CM’s specific tooling and equipment.
Support Supplier Quality Engineering (SQE) by validating that component-level PPAPs from sub-tier vendors are integrated correctly into the CM’s assembly process.
Be responsible for the mechanical assembly, test, and integration of sensors, compute, and actuation systems, defining the special characteristic (SC/CC) steps for the manufacturing process.
Work closely with the software team to define, deploy, and validate End-of-Line (EOL) testers and calibration routines that confirm the "digital health" of the hardware.
Lead the development of Process PPAP deliverables, including PFMEAs, Process Flow Diagrams, Control Plans, and Work Instructions ensuring the CM has identified and mitigated all assembly-related risks with "Poka-Yoke" (error-proofing) solution, and has established a robust manufacturing process.
Design and qualify manufacturing equipment, tooling and gauges, ensuring that manufacturing process controls are in place. Providing assurance that GD&T and/or general specification and tolerance requirements are consistently met through MSA (Measurement Systems Analysis) and Gage R&R.
Support Process Verification (PV) Testing, conducting "Run-at-Rate" studies to prove the manufacturing line can sustain quality targets at full production speed.
Lead internal and CM-based RCCA (Root Cause Corrective Action) using the 8D methodology to resolve technical assembly failures during manufacturing.
Manage Metrology and Measurement Systems Analysis (MSA), ensuring that all gauges and inspection fixtures at the CM are qualified via Gage R&R before production use.
Collaborate with Field Quality teams to update manufacturing Control Plans based on real-world performance data and feedback from OEM partners.
Bachelors of Science in Mechanical Engineering or similar fields.
NPI & CM Oversight Experience: Proven track record of launching automotive or high-tech hardware at Tier 1 or Contract Manufacturers using structured quality gates.
Technical ownership of the launch cycle, specifically focusing on the transition from prototype to a production-validated manufacturing line.
Advanced APQP & PPAP Management: Mastery of Control Plans, Process Flows, and Gage R&R, with a specific focus on manufacturing process stability (Cpk). Experience managing the transition from Design Verification (DV) to Process Verification (PV) and overseeing full PPAP submissions for complex electromechanical systems.
Proficient with Solidworks for reviewing assembly fixtures, pallets, and inspection jigs.
Expertise in GD&T & Metrology: Deep understanding of how to verify complex mechanical tolerances in a production environment using CMM, OMM, or vision systems.
Problem-Solving Expert: Mastery of 8D and RCCA, with the ability to lead high-pressure technical resolution activities during a production ramp.
Experience with PLM tools and document revision control to manage Engineering Change Orders (ECOs) and ensure BOM accuracy during the APQP cycle.
Experience with various manufacturing processes such as precision torque, thermal interface material (TIM) dispensing, and high-stakes sensor calibration.
Present manufacturing readiness to cross-functional teams, using data-driven insights to justify the move from APQP Phase 3 to Phase 4.
Automotive, Aerospace, Autonomous Vehicle (AV) or EV industry experience is highly preferred.
IPC/WHMA-A-620 and IPC-A-610 knowledge for acceptance of wire harness assemblies and electronic assemblies.
Experience with Robotic Workcells or automated assembly systems.
Certified Quality Engineer (CQE) or Six Sigma Green/Black Belt.
Competitive compensation and equity awards.
Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
Unlimited Vacation.
Flexible hours and Work from Home support.
Daily drinks, snacks and catered meals (when in office).
Regularly scheduled team building activities and social events both on-site, off-site & virtually.
As we grow, this list continues to evolve!
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
