Software Engineering Manager: Operating Systems and Vehicle Configuration

4 weeks ago

Foster City CA United States Zoox Full time

Zoox’s Robot Software Infrastructure team is looking for a Manager to oversee two functions: the Linux OS Platforms and the Vehicle Software Configuration. This team enables the execution of complex, hardware-accelerated workloads required for autonomous driving on embedded, automotive-grade hardware. They collaborate closely with compute hardware teams and the developers whose applications run on these platforms. How does a vehicle know what to do when it wakes up? This team is responsible for building runtime configuration systems that ensure seamless operation of the vehicle.

In this role, you’ll lead a growing team that is responsible for:
  • Kernel selection, configuration, and device driver updates including GPU drivers
  • Development of system services, OS build tools, and installation tools
  • Software build and authorization system
  • Creation of in-field update mechanisms and OS validation plans
  • Implementation of OS security features and defining modes and mechanisms to control software and hardware configurations
  • Enabling adaptive runtime behavior for various scenarios and management of hardware-in-the-loop continuous integration (HIL and CI) infrastructure
Qualifications
  • 2+ years of experience managing teams that deliver production-level software
  • Proven success in hiring, mentoring, and developing high-performing teams
  • Strong cross-functional project management experience and excellent written and verbal communication skills
  • Solid understanding of operating system internals
  • Familiarity with Linux containerization (e.g., chroot, cgroups, namespaces), filesystems, networking, software build and update systems
  • Proficiency in languages like C or C++ (without automatic memory management) and scripting languages like Bash or Python and experience in designing architectures for large, complex software systems
Bonus Qualifications
  • Expertise in GPU hardware and software architecture
  • Experience with robotics or autonomous driving technologies
  • Graduate degree with a focus on networking, operating systems, or computer security

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 $210,000 to$303,000. 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.

Follow us on LinkedIn

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.

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