About the Role
Safe, stable, and reliable transportation is the key promise of autonomous mobility. You will architect, implement, and refine the central vehicle stability framework that fulfills this promise. You will partner with Zoox's Software, Hardware, Safety, Data, and Operational teams to develop the robot's Fault Management System. You will support our stability analytics teams and use their results to optimize the on-robot code for rapid fault triage at scale.
You will join the Platform Stability team inside of Software Core, a team of system-oriented C++ engineers developing frameworks to track robot instability in real time. You will provide technical leadership to the team through architectural reviews and data-driven development. You will evangelize safe, sustainable coding practices and work collaboratively with other teams to gather and implement software requirements.
Ultimately, we seek a leader with previous experience delivering mission-critical software that supports large teams. We desire a team member who can visualize an ideal final design, but who also maintains the strategic mindset to deliver the software incrementally.
Responsibilities
You will provide technical leadership to the Platform Stability team
You will drive the development of the robot's Fault Management System, in collaboration with Safety and Firmware teams
You will help improve the performance of the on-bot stability framework and off-bot stability analysis tools
You will champion the adoption of the stability framework across all software teams, including requiring new diagnostics when novel failures occur on-vehicle
You will monitor metrics about the health and adoption of the stability framework across the Zoox fleet
Qualifications
Experience tech leading teams of 4+ engineers
Experience using metrics and statistical methods to drive decision-making at various levels in an organization
Strong knowledge of C++ and experience in large code bases
Good communication and collaboration skills
Bonus Qualifications
Experience with large-scale robot, vehicle, or device health telemetry and familiarity with developing Big Data technologies like Databricks, Spark, Redshift
Experience with reliability engineering or related systems engineering fields
Experience in Autonomous Vehicle domain
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 $217,000 to $360,000. 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.
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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to ****** 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 skills.