Compute Functional Safety Engineer
Job Summary
Job Description
2 skills required
Job Details
As an Compute FuSa Engineer in Advanced Hardware Engineering (AHE), you will support Systems and functional safety teams by performing Failure Mode Effects Analysis on system/ sub-system level architecture & be able to delve deep into board/component level diagnostics. You will work closely with systems engineers, design engineers to fully understand requirements and the capability of our hardware and provide evidence of functionality and diagnostic coverage via verification & validation. In addition, you will be responsible for developing & reviewing Test plans for verification of functional & Fault Injection tests for advanced compute and sensor hardware.
Responsibilities:
- Perform function level FMEA on the computer system.
- Be heavily involved in architecture definition and safety concepts of the new generation compute system.
- Read through vendor provided documentation for components and boards to identify diagnostic capabilities.
- Work with firmware engineers to enable diagnostics and V&V team to confirm the working of diagnostics as intended.
- Work closely with the Test Team and Test Infrastructure team to help guide the V&V efforts and improve diagnostics verification.
- Develop new requirements to improve diagnostic coverage of the HW working closely with EE & FW teams.
- Detailed analysis of Safety manuals provided by Vendors for complex SOC’s microprocessors
- Lead and participate in quantitative and qualitative functional safety activities that lead to the development ofFailure Mode Effects & Diagnostic Analysis and Fault Tree Analysis
- Develop requirements for safety-critical Hardware to perform Fault injection Testing to comply with ISO 26262:2018.
Qualifications
- B.S. or higher degree in Electrical, Aerospace, Automotive, or Robotics Engineering
- Familiarity with ISO 26262 or other safety standards.
- 5+ years of work experience with high performance compute design or validation.
- Collaborative team player with strong written and in-person communication skills
Compensation
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $176,000 to $304,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and sk
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About The Company
Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.
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