Hardware Reliability Engineer

  • Stealth Mode Startup Biotech
  • Newark, CA, USA
  • Jan 07, 2022
Full time Biotech

Job Description

High growth, pre-IPO company in stealth mode

Join a rapidly growing company that is developing ground-breaking genomics technologies that will push the boundaries in the clinical, life sciences research and therapeutic fields. We are well-funded by global top-tier investors, including venture capital firms and growth equity investors. Our team brings together unique and diverse expertise across multiple disciplines, from healthcare and life sciences, to engineering, to technology and software and beyond.  We are a collaborative group of more than 200 employees, including successful entrepreneurs, hardware and software engineers, genomics and biotechnology experts, molecular and computational biologists, software and algorithm experts, and operations and commercial leaders. Play an important role in the development and commercialization of technology and products that will accelerate our understanding of life, biology and disease and transform large industries.

We are looking for a highly motivated Hardware Reliability Engineer to join our team!

As a Reliability Engineer you should be ready to contribute to a fast-paced multidisciplinary group focused on creating next generation analytical equipment. You will be focused on analyzing failure modes, failed components, and stress tests in order to mitigate issues and increase key reliability statistics set out in our company goals. You should look at design goals and decisions by weighing risks based on data, best practices, failures and potential failure modes.

How You’ll Contribute

  • Identifying and validating potential risks related to performance, lifetime and safety in electrical, mechanical, fluidic and/or optical sub-systems.
  • Analysis of failure data from reliability test benches, beta instruments, in-field instruments
  • Lead and participate in DFMEA and PFMEA, including ranking of failure modes.
  • Write technical documentation, including ECOs, work instructions, corrective actions and tech notes for field service.
  • Define and create reliability metrics and lifetime predictions for components and systems under development and in field.
  • Owning the system reliability model that partitions an overall system level reliability budget to various sub-systems and sub-assemblies.
  • Reviewing and approving the subsystem and sub-assembly lifetime testing plans according to the HALT principles.

Qualifications, Skills, Knowledge & Abilities

  • BS or MS in Engineering, Physics, or applied sciences
  • >4 years experience in working with complex systems is preferred
  • Solid critical thinking skills: ability to deep dive into cause-effect to understand why something may fail
  • Engineering experience with one or more; fluidics, optics, mechatronic or robotics a plus
  • Data analysis using Python is a plus
  • Weibull, Weibull++, or statistical analysis preferred

When applying, please note that you saw the job posted on the NOVAworks Job Board. If you need help with your resumé, please see a NOVAworks Career Advisor.