Agility Robotics

Agility Robotics

Senior Manufacturing Test Engineer

Onsite- Salem, OR · Senior · Full-time

No sponsorship$125k-$163kDetected 12 days ago
PythonLinuxAltiumEmbedded SystemsRoboticsElectrical EngineeringLeadershipCommunication

About the role

  • We are seeking a Senior Manufacturing Test Engineer with deep expertise in electronics, embedded systems, and production test strategy.
  • Serve as the technical owner and architect for manufacturing test systems supporting electrical, embedded, and control subsystems across multiple product lines.
  • Provide technical leadership during New Product Introduction (NPI) by establishing scalable, production-ready test strategies from EVT/DVT through ramp and steady-state production.

Responsibilities

  • You will mentor junior engineers, drive best practices across the test organization, and act as a technical liaison between cross-functional teams including Design, Systems, Firmware, and Manufacturing.
  • This position offers a unique opportunity to influence the design and manufacturability of cutting-edge robotic systems from early concept through high-volume production.
  • Partner with Design, Systems, Firmware, and Manufacturing teams to embed Design-for-Test (DFT) and Design-for-Manufacturing (DFM) principles early in product development.
  • Mentor and technically guide manufacturing test engineers and technicians, elevating test rigor, design quality, and engineering best practices.
  • Own the full lifecycle of manufacturing test platforms, including requirements definition, hardware and software development, deployment, validation, and long-term sustainment.
  • Excellent written and verbal communication skills, with the ability to clearly document and present complex technical concepts.

Requirements

  • 7+ years of experience in manufacturing test engineering or related roles, with ownership of complex electro-mechanical or embedded system test solutions.
  • Familiarity with Linux- or RTOS-based systems (e.g., FreeRTOS) and hardware-in-the-loop (HIL) testing methodologies.
  • Proven ability to influence cross-functional teams through technical leadership and sound engineering judgment.
  • Bachelor's degree in Electrical Engineering, Software Engineering, Mechatronics, or a related field (Master's degree preferred).
  • Strong proficiency in test software development (Python preferred), including automation, instrumentation control, and data analysis.
  • Ability to read and interpret electrical schematics and layouts; experience with ECAD tools (Altium preferred).

Nice to have

  • Provided for eligible roles.
  • All of our roles are U.S.-based.
  • Applicants must have current authorization to work in the United States.
  • Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity.
  • Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment.
  • Agility Robotics prohibits any such discrimination or harassment.
  • Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies.
  • We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page.

Skills

  • Experience integrating manufacturing test systems with MES, test databases, and SPC frameworks.

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

  • Parental Leave: Generous paid parental leave programs.

Company info

  • Includes a 6% company match.

Visa & Work Authorization

  • asis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law

This listing is sourced directly from Agility Robotics's careers page and normalized into a canonical job model.