Rivian

Autonomy Systems Validation, Staff TPM - Engineering

Rivian$167K — $209K *
Transportation
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years leading complex software or technology programs in fast-paced environments.
  • Comfortable working with engineers and experienced with ML and robotics stacks.
  • Skilled in project management: planning, prioritizing, and managing risks.
  • Ability to communicate complex ideas simply and secure buy-in from stakeholders.
  • Strategically minded with systems thinking to understand interactions in complex systems.
  • BA/BS in Engineering, Robotics, Computer Science, or related fields.

Responsibilities

  • Drive project delivery by aligning program goals to business objectives and improving outcomes.
  • Establish metrics to streamline workflows and enhance throughput on validation KPIs.
  • Foster cross-functional collaboration through effective communication and aligned objectives.
  • Proactively manage risks by anticipating issues and developing mitigation plans.
  • Keep stakeholders aligned and provide clear visibility into technical trade-offs and feature readiness.
  • Lead continuous improvement initiatives through retrospectives and feedback implementation.

Benefits

  • Paid vacation and sick leave
  • Comprehensive insurance benefits including life, medical, dental, and vision
  • Short-term and long-term disability insurance
  • 401(k) Plan participation
  • Employee Stock Purchase Program opportunity
  • Benefits coverage effective from the first day of employment for full-time employees
Full Job Description
Role Summary

As a Technical Program Manager on Rivian's Autonomy Systems Validation team, you'll own the plan that keeps on-road and closed-course testing aligned with virtual validation and determines when our end-to-end autonomy software is ready for release. You'll partner with autonomy software, functional safety, operations, homologation, and leadership to build an integrated active safety and automated driving test plan, incorporating AI/ML model development and platform integration, tracking release criteria and feature validation KPIs, and turning complex technical trade-offs into clear decisions. You'll be a force multiplier navigating technical complexity while driving alignment and execution across stakeholders.

Responsibilities

  • Drive project delivery: Develop a strong technical understanding of the stack and align program goals to business objectives. Improve delivery outcomes through project roadmaps and timelines, structured execution and coordination, accounting for factors unique to ML based end-to-end autonomy.
  • Boost efficiency: Establish metrics, identify gaps and bottlenecks, streamline workflows and improve tooling to increase throughput on release metrics and validation KPIs.
  • Enable cross-functional collaboration: Improve alignment across teams through effective communication, integrated plans, shared objectives and faster decisions.
  • Manage risk proactively: Manage ambiguity, anticipate issues, develop mitigation plans, drive data-based escalation and minimize impact on timelines and quality.
  • Keep stakeholders aligned and collaborate cross-functionally. Drive integrated plans, shared objectives, and faster decisions through clear communication. Establish standard reports that support launch readiness reviews and give leadership concise visibility into technical and performance trade-offs, risks, and feature readiness.
  • Champion continuous improvement: Lead retros, encourage feedback, and implement changes to improve processes, team dynamics, and outcomes.

Qualifications

  • Proven delivery with a bias for action: 7+ years leading complex, multi-team software or technology programs in fast-paced or early-stage environments. You have a proven track record of delivering projects and getting things done.
  • Technically strong: Comfortable working with engineers, experience with ML, robotics stacks, metrics driven analysis, validating end-to-end autonomy, and scenario or structured testing.
  • Strong project management: Skilled at planning, prioritizing, adapting to change, managing risk and dependencies.
  • Collaborative leader and clear communicator: Explain complex ideas simply, influence through soft power rather than authority, surface risks early, secure buy-in from senior stakeholders and build a positive team culture.
  • Strategic and systems thinking: You keep the bigger picture in mind, reason about how parts of a complex system interact and how change in one area affects others, structure undefined problems, thrive in ambiguity and bring momentum and calm without adding unnecessary process.
  • BA/BS degree in Engineering, Robotics, Computer Science, Data Science or equivalent experience with a strong foundation in areas relevant to AI/ML.


Preferred Qualities (0-4) Nice to have.
  • Deep knowledge and program management experience of ADAS / Automated Driving and the autonomous driving stack, Robotaxis or Robotics; particularly involving the integration and management of complex AI/ML models.
  • Deep experience with simulation platforms or virtual validation strategies.
  • Familiarity with global regulatory and consumer ratings frameworks.

Pay Disclosure

The salary range for this role is $167,400 - $209,300 for Palo Alto, California based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.

The successful candidate may be eligible for annual performance bonus and equity awards.

We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian's 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com.

You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee). There is no fixed deadline for this application; applications are accepted on an ongoing basis until the role is filled or the opening is no longer needed.

About Rivian

Rivian is an American automaker and automotive technology company. Founded in 2009, the company develops vehicles, products and services related to sustainable transportation. Rivian has raised over $10.5 billion since 2019, with investments from Amazon, Ford, and Cox Automotive. The company's first two vehicles, the R1T and R1S, are electric vehicles that are expected to be released in 2021. Rivian has also announced plans to produce electric delivery vans for Amazon. The company has received praise for its focus on sustainability and its commitment to using recycled materials in its vehicles.
Learn more about Rivian
Size
10,000 employees
Market Cap
$16.8 billion
Industry
Founded
2009
NASDAQ

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