Extracted from the posting
TL;DR
Senior/Staff Technical Program Manager on Zoox's PMO, owning simulation, automation, and cloud infrastructure (AWS) that shorten the software validation and release cycle for the autonomous fleet. Hands-on role building CI/CD, triage, and metrics pipelines, including AI-assisted log analysis. Requires 8+ years in software engineering or TPM and Python or similar coding for the bonus track.
The full posting
The Program Management Office (PMO) at Zoox is responsible for driving cross-functional program planning and execution at the highest level. We partner with leaders from across the company in vehicle development, system design, software engineering, manufacturing, fleet operations, and business functions to develop and deliver major corporate milestones on the path to launch, and beyond. Our program managers contribute to the end-to-end success of technical, integrated product milestones involving both of our vehicle platforms - the Toyota Highlander test fleet and Zoox's purpose-built robotaxi.
As Zoox scales its fleet and expands into new cities, we are evolving how we develop, validate, and release software by leveraging simulation, automation, faster triage, and scalable infrastructure. Our goal is to deliver improvements to our autonomous fleet faster and more frequently, while upholding our high bar for safety and quality.
As the Technical Program Manager for Automation & Scaling, you will own the systems that make that cadence possible. That means leveraging simulation to validate at scale, scaling the cloud infrastructure behind it, and automating the triage and metrics pipelines that shorten review cycles. This is a hands-on builder role. We are looking for a technically deep program leader who has built and deployed automation that measurably cut cycle time, and who can turn promising research and prototypes across Zoox into operational, production-grade systems.
In this role, you will:
- Leverage simulation at scale: Partner with Simulation, Autonomy, and Mission Assurance teams to make simulation the primary engine for validation, expanding coverage and reducing reliance on on-road testing.
- Drive automation: Identify manual, repetitive steps across development, validation, and release, and lead the design and deployment of automation that removes them, prioritizing the work that most reduces cycle time.
- Enable faster triage: Deploy AI-assisted systems that parse logs, classify failures, and route issues, significantly reducing the time from test results to actionable fixes.
- Build scalable infrastructure: Scale cloud-based (AWS) simulation, metrics, data processing, and release evaluation pipelines so they grow with volume and support a faster, more frequent release cadence.
- Operationalize what already exists: Work alongside Zoox's technical experts and research teams, apply a programmatic lens, and turn prototypes into production systems that teams depend on.
- Drive and measure impact: Instrument the process end to end, find the bottlenecks, and report progress against cycle-time goals in clear, data-backed narratives for executive leadership
Qualifications:
Bonus Qualifications:
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. Weβre 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 [email protected] 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.
Compensation: USD 213,000 β 295,000 per year salary