Agility Robotics
Senior Staff Manufacturing Systems Engineer
Hybrid- Salem, OR · Staff+ · Full-time
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About the role
- This role shapes how complex robotic and mechatronic products are built, tested, and scaled from prototype to high-volume production.
Responsibilities
- Define and maintain the end-to-end Manufacturing Systems Architecture, spanning factory automation, data flow, MES systems, ERP integration, test infrastructure, and traceability frameworks.
- Partner with the Director of Operations Engineering to establish long-term strategies for smart factory enablement, digital manufacturing, and system interoperability.
- Project Management: Manages manufacturing schedules, budgets, and risk assessments for leadership.
- Systems Integration & Design Leadership
- Lead cross-functional integration of mechanical, electrical, software, and automation subsystems into cohesive manufacturing solutions.
- Architect interfaces between production equipment, test systems, MES, PLM, and ERP platforms - including active support of the current ERP migration (Micus to NetSuite), ensuring quality, non-conformance, and traceability data flow correctly into the new system.
- Oversee technical reviews, design validation, and readiness assessments for new manufacturing system deployments.
- Drive system-level readiness for new product introductions (NPI), ensuring manufacturing systems support ramp readiness and high first-pass yield.
- Work directly with the NPI Manufacturing Engineering team on active build issues - e.g., subsystem (actuator, torso, leg) build bottlenecks, work-instruction and redline backlogs, and DFMEA/traceability gaps - providing systems-level solutions, not just architectural guidance.
- Collaborate with Manufacturing, Quality, and Test Engineering to optimize workflows, eliminate bottlenecks, and standardize processes.
Requirements
- Proven record of leading cross-functional initiatives across hardware, software, and operations teams.
- Employees will be required to follow any other job-related instructions and perform any other job-related duties requested by anyone authorized to give such instructions or assignments.
- Bachelor's degree with 12+ years, Master's degree with 10+ years, or PhD with 8+ years of experience in Manufacturing Engineering, Systems Engineering, Mechanical Engineering, Electrical Engineering, or a related discipline, with a focus on manufacturing systems design, integration, and deployment for complex electromechanical or robotic products.
- Expert-level understanding of manufacturing system architectures (MES, PLM, ERP, SCADA, automation controls, test systems).
- Strong communication and leadership skills
- able to influence technical direction across teams and executive stakeholders.
- Willingness and ability to be on-site regularly to support builds, reviews, and floor issues in real time.
- Preferred:
Nice to have
- Experience with robotics, advanced automation, or complex mechatronic assembly lines.
- Background in model-based systems engineering (MBSE), digital twin implementation, or smart factory systems.
- Familiarity with data systems (SQL, APIs, data lakes) and software integration for manufacturing intelligence.
- Demonstrated success scaling systems from prototype to high-volume production.
- Experience in high-mix, low-volume manufacturing environments.
- Experience with DFMEA/PFMEA processes and quality traceability systems.
- Establishes clear system standards and fosters collaboration across all engineering functions.
- Acts as a trusted technical resource, supporting the long-term direction for manufacturing systems capability within the organization, while remaining hands-on for active NPI and production issues.
Skills
- Agility Robotics is revolutionizing the way robots interact with the world.
- Our flagship humanoid robot, Digit, is the first to be sold for deployment in human environments at scale.
Compensation
- The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience.
Benefits
- Establish system health metrics and continuous improvement frameworks for factory performance monitoring.
This listing is sourced directly from Agility Robotics's careers page and normalized into a canonical job model.