Apptronik Logo

Apptronik

Staff Systems Engineer - Reliability

Reposted 5 Days Ago
Be an Early Applicant
Easy Apply
Hybrid
Austin, TX
Expert/Leader
Easy Apply
Hybrid
Austin, TX
Expert/Leader
Lead hardware reliability efforts for humanoid robots, establish reliability standards, drive improvements across hardware, and mentor junior engineers.
The summary above was generated by AI

Apptronik is building robots for the real world to improve human quality of life and to help solve the ever-increasing labor shortage problem. Our team has been building some of the most advanced robots on the planet for years, dating back to the DARPA Robotics Challenge. We apply our expertise across the full robotics stack to some of the most important and impactful problems our society faces, and expect our products and technology to change the world for the better.  We value passion, creativity, and collaboration to help us overcome existing technological barriers in the industry to create truly innovative products. 

You will join a team developing state-of-the-art general-purpose robots designed to operate in human spaces and with human tools. It is designed to work alongside humans, mobilize to human spaces, and manipulate the world around it.

JOB SUMMARY

We are seeking an experienced Staff Reliability Engineer to lead hardware reliability efforts for our humanoid robots. This role is critical to ensuring the performance, safety, and durability of our products throughout their lifecycle. Leveraging your deep expertise in reliability engineering, you will lead efforts to establish reliability standards, conduct advanced analyses, and drive improvements across key hardware components and systems.  This position is based out of Apptronik's Austin Headquarters.


ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES: 

  • Develop and implement a comprehensive reliability engineering strategy for hardware systems, with a focus on actuators, motor controllers, PCBAs, sensors, limbs, and end effectors.
  • Establish and maintain reliability metrics, goals, and test protocols for each product lifecycle stage, from design to production.
  • Collaborate closely with cross-functional teams (mechanical, electrical, firmware, and manufacturing) to integrate reliability principles into design and development processes.
  • Efficient Testing & Analysis: Ability to design reliability testing approaches that extract meaningful insights from small sample sizes, as large, statistically significant sample sizes (30+ units) are typically not available at our current stage of production. Must leverage statistical methods, engineering judgment, and accelerated testing techniques to drive data-informed decisions.
  • Apply component derating principles to ensure hardware components operate well within their rated limits, improving system reliability and longevity.
  • Analyze thermal, electrical, and mechanical stresses to identify potential failure points and recommend design adjustments.
  • Lead root cause analysis (RCA) for hardware failures, implementing corrective actions and preventative measures.
  • Develop and oversee reliability testing plans, including Highly Accelerated Life Testing (HALT), Highly Accelerated Stress Screening (HASS), vibration testing, and environmental stress testing.
  • Analyze field data, prototype testing results, and production feedback to identify trends and drive improvements.
  • Drive Design for Reliability (DfR) methodologies, including FMEA, DFMEA, stress analysis, and reliability growth modeling.
  • Partner with suppliers to verify the reliability and quality of sourced components, ensuring alignment with design and reliability standards.
  • Identify and implement design and process improvements to enhance product reliability, reduce failure rates, and improve durability.
  • Contribute to the development of reliability standards, documentation, and best practices to guide future hardware development.
  • Mentor and coach junior engineers, fostering a strong culture of reliability across the organization.

 

SKILLS AND REQUIREMENTS:

  • Extensive experience with reliability engineering principles, including component derating, FMEA/DFMEA, and Coffin-Manson analysis for fatigue prediction.
  • Proficiency in reliability testing methods such as HALT, HASS, vibration, and thermal cycling.
  • Strong understanding of mechanical systems, electronic components (PCBAs, motor controllers), sensors, and materials science.
  • Exceptional problem-solving and analytical skills, with a focus on data-driven decision-making.
  • Excellent communication and collaboration abilities, capable of working with cross-disciplinary teams and suppliers.
  • Proven ability to lead RCA efforts, implement corrective actions, and drive reliability improvements.

EDUCATION and/or EXPERIENCE: 

  • Minimum of 15 years of experience in reliability engineering for complex hardware systems.
  • Strong preference for candidates with experience in robotics, autonomous vehicles, aerospace, or other high-reliability industries.

PHYSICAL REQUIREMENTS: 

  • Prolonged periods of sitting at a desk and working on a computer 
  • Must be able to lift 15 pounds at times 
  • Vision to read printed materials and a computer screen 
  • Hearing and speech to communicate

Perks:

  • Competitive salary w/ benefits
  • Highly motivating equity incentive package
  • Flexible work hours policy
  • Professional development opportunities
  • Generous Paid Time Off (PTO)
  • 401k plan




*This is a direct hire.  Please, no outside Agency solicitations. 

Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Top Skills

Dfmea
Fmea
Halt
Hass
Motor Controllers
Pcbas
Reliability Engineering Principles
Sensors
Thermal Cycling
Vibration Testing

Similar Jobs at Apptronik

4 Hours Ago
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
Senior level
Senior level
Computer Vision • Hardware • Machine Learning • Robotics • Software
Develop and maintain platform software for robotic systems by gathering sensor data, classifying faults, and optimizing performance while mentoring junior engineers.
Top Skills: C++Linux
5 Days Ago
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
Senior level
Senior level
Computer Vision • Hardware • Machine Learning • Robotics • Software
Lead the development of advanced robotics systems, ensuring reliability and performance while collaborating with various engineering teams and mentoring staff. Requires extensive experience in robotics engineering.
Top Skills: C++DdsEmbedded LinuxLinuxPythonReal-Time Communication ProtocolsRos2Rtos
6 Days Ago
Easy Apply
Hybrid
Austin, TX, USA
Easy Apply
Expert/Leader
Expert/Leader
Computer Vision • Hardware • Machine Learning • Robotics • Software
Lead safety risk assessments and develop product safety plans for robotics, ensuring compliance with regulatory safety standards and functional safety design. Collaborate with cross-functional teams on safety requirements and product validation.
Top Skills: Iec 60068-2Iec 60204Iec 62368Iec61508Iso 13849JamaUl3100Ul3300

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account