Engineering Manager, ML Storage

Zoox is looking for an experienced Software Engineering Manager to lead one of our High Performance Computing infrastructure service teams. Zoox HPC services combine industry-best scheduling and workload orchestration technologies, such as Ray.io and SLURM, with value-add workflows specifically for Autonomous Vehicle development. These HPC services form the backbone of development workflows across all Zoox software divisions, from data engineering to computer vision perception to simulation and more. You will take on a breadth of end-to-end responsibilities including distributed system design, algorithmic job scheduling, and adaptive cloud scaling in support of all of Zoox’s computational needs.
The position comes with a high degree of independence and the opportunity to help define Zoox’s scaling strategy, both technically and organizationally. You will be responsible for hiring for and maintaining the health of your team, as well as growing and coaching teammates to support the continued success of their careers. 

In this role, you will:

• Design and implement improvements to Zoox’s in-house, cutting-edge HPC infrastructure
• Investigate new distributed system paradigms and technologies to meet Zoox’s ever-growing computational and storage needs
• Create production-grade web service APIs, SDKs, and other tools to provide a world-class developer experience for all of Zoox’s software teams
• Mentor, coach, and advocate for your direct reports
• Expand the team by participating in all stages of the hiring process
• Plan work streams and coordinate projects with customer teams
• Align goals and progress with Zoox milestones

Qualifications:

• Experience managing teams of 5-10+
• Demonstrated ability to prioritize development work and build cross-functional consensus
• Experience with distributed systems deployed on Amazon Web Services (AWS)
• Experience with workload management / job scheduling systems such as SLURM or Ray.io
• Bachelor's degree in computer science (or related field)

Bonus Qualifications:

• Experience with Kubernetes at scale (>10k+ nodes)
• Proficiency with Python, Java, or other managed languages

CompensationThere 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 $240,000 to $300,000. 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.
Vaccine MandateEmployees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.
About ZooxZoox 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.
Follow us on LinkedIn
AccommodationsIf 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 skills.