Senior/Staff Technical Program Manager - Automation & Scaling

Zoox; Foster City (CA); On-site; USD 213,000 - 295,000; Full time

Benefits offered by this job

Health insurance

Zoox RSUs

Amazon RSUs

Paid time off

Disability insurance

Life insurance

Job summary

Zoox is looking for a senior engineer to scale simulation validation for autonomous driving. You will partner with Simulation, Autonomy, and Mission Assurance to expand coverage and reduce on-road testing.

You will drive automation across development and release, deploy AI-assisted systems for log parsing and triage, and build scalable AWS-based pipelines to accelerate release cadences. You will turn prototypes into production systems used by teams.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent experience.
• 8+ years of experience in software engineering, technical program management, or a combination, with a strong software background.
• A track record of designing and deploying automation that measurably reduced cycle time, such as CI/CD, test, data, or triage pipelines.
• Hands-on familiarity with AWS and large-scale distributed compute and data systems, including simulation workloads.
• Experience building or applying AI/ML-based tools to analyze logs, detect failures, or automate engineering workflows.
• Proven ability to take research or prototype work into production, and to influence technical experts without formal authority.
• Excellent written and verbal communication, including turning technical bottlenecks into clear decisions for leadership.

Responsibilities

• 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

Job description

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:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent experience.


• 8+ years of experience in software engineering, technical program management, or a combination, with a strong software background.


• A track record of designing and deploying automation that measurably reduced cycle time, such as CI/CD, test, data, or triage pipelines.


• Hands-on familiarity with AWS and large-scale distributed compute and data systems, including simulation workloads.


• Experience building or applying AI/ML-based tools to analyze logs, detect failures, or automate engineering workflows.


• Proven ability to take research or prototype work into production, and to influence technical experts without formal authority.


• Excellent written and verbal communication, including turning technical bottlenecks into clear decisions for leadership.

Bonus Qualifications:

• Deep experience leveraging simulation platforms, virtual validation strategies, or synthetic data in autonomous vehicles or robotics.


• Experience moving a large engineering organization from infrequent releases to a release train or continuous delivery model.


• Experience with release qualification, verification and validation, or safety-critical software.


• Hands-on coding experience in Python or similar, building internal tools and automation.

$213,000 - $295,000 a year

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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 [e-mail] 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.