1,899,069open jobs
111,135companies
252,212added this week
Browse all
Salary
$181k – $290k per year
Location
Hybrid (Mountain View, San Francisco, Pittsburgh, Seattle, United States)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Sep 30, 2026.

Overview
Company
Impact
Profile match
Aurora Innovation is an autonomous vehicle technology company dedicated to developing self-driving systems for commercial trucking and passenger mobility. Headquartered in Pittsburgh, Pennsylvania, the company develops the Aurora Driver, an integrated platform combining proprietary hardware, software, and data services to safely operate vehicles without human intervention. Through strategic partnerships with leading automotive manufacturers and logistics carriers, the firm aims to transform long-haul freight and transportation into a safer, more efficient, and scalable industry.

Who we are

Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.

The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.

At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.

What we are looking for

Aurora's commercial trucking network is expanding. By the end of 2026, more than 200 Aurora-powered trucks will be in driverless commercial operation across multiple freight corridors. Every new lane, endpoint, weigh station, and truck stop must clear software readiness gates spanning map development, ODD analysis, test creation, and on-road performance before it can carry commercial freight without a driver.

The Staff PM, Network Expansion owns that picture. This role is the primary source of truth for software readiness across all active and upcoming sites, and is responsible for making that state legible to senior leadership, commercial partners, and the engineering teams accountable for closing gaps. The work requires strong technical understanding of the software readiness process, tight coordination across Mapping, Perception, Motion Planning, Systems & Safety Engineering, and Vehicle Operations, and direct engagement with Business Development and Product Strategy to connect readiness to commercial priorities.

The commercial network will be materially larger in 18 months than it is today. A significant part of this role is building the processes and tooling to scale with it.

In this role you will

  • Software Readiness Ownership: Own the definitive view of where every highway segment, customer endpoint, weigh station, border patrol station, and truck stop stands against software readiness criteria and customer commitments. This spans map development timelines, ODD analysis progress, test creation status, and on-road performance. Keep this picture current across all active sites and ensure it is the basis for release planning and prioritization decisions.

  • Program Synthesis and Executive Reporting: Aggregate workstream status across the lane expansion program and produce the executive software readiness update for senior leadership. Own the agenda and content for the weekly program review. Prepare and lead VP-level decision meetings when major risks require escalation or tradeoffs need to be resolved. The output of this work is senior leadership having an accurate, decision-ready view of the commercial network at all times.

  • Autonomy Roadmap and Commercial Alignment: Connect commercial network priorities to autonomy capability development. Partner with Perception, Motion Planning, and Systems & Safety Engineering to ensure the capability roadmap reflects the lanes and endpoints Aurora needs to open next. Partner with Business Development and Product Strategy to understand which sites carry the highest commercial priority and translate that into concrete input for engineering planning. When workstream slips affect the commercial schedule, articulate the business consequence clearly and identify available tradeoffs.

  • Cross-Program Execution: Track and unblock the engineering dependencies that determine when lanes and endpoints are ready to open. Work directly with Motion Planning, Perception, and Systems & Safety Engineering to understand capability timelines and surface gaps that affect the expansion schedule. Work with Mapping Operations to ensure mapping work is sequenced for lane and endpoint readiness timelines. Coordinate with Vehicle Operations to ensure efficient and effective on road testing.

  • Vehicle Demand Forecast: Partner with Vehicle Operations leadership to develop the fleet demand forecast, informing hiring decisions and vehicle allocation. Provide forward-looking input on which lanes and endpoints will require development vehicles and when.

  • Operational Infrastructure: Identify where current tracking and coordination processes will not scale as the network grows. Design and drive improvements to tooling and handoffs. The right person in this role will make it materially easier, a year from now, to answer "are we ready?" across a significantly larger set of routes.

Required Qualifications

  • Range across strategy and execution: This role requires both executive-level synthesis and hands-on operational work. Strong candidates can structure a prioritization framework for a VP audience and, in the same week, build a readiness checklist, run a daily check-in, or reconcile a tracking artifact manually. The role does not have a support layer for operational work.

  • Credibility with engineering teams: Must understand enough about ODD analysis, test coverage, and system integration to identify when a schedule is unrealistic, determine which risks belong in an executive update, and ask effective questions in engineering reviews. This is not a role for a generalist who relies on engineers to interpret technical state.

  • Cross-functional influence in high-stakes environments: Vehicle Operations, Mapping Operations, Systems & Safety Engineering, Perception, and Business Development each have their own leadership and competing priorities. Must be able to drive alignment and accountability across these organizations without owning their roadmaps. Experience navigating multi-team environments where you are accountable for outcomes you don't directly control is essential.

  • Comfort building in ambiguous environments: The processes and tooling for tracking a network of this scale are still being developed. Strong candidates treat this as core work, not a gap to work around.

  • Experience with operational or physical readiness programs (autonomous vehicles, aviation, rail, logistics, or manufacturing launch) is a plus.

For roles based in San Francisco, CA and Mountain View, CA: The salary range for this position is $181,000 - $290,000 per year.

For roles based in Pittsburgh, PA: The salary range for this position is $163,000 - $261,000 per year.

Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

Working at Aurora

At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together - all without any jerks.

We believe in-person work increases collaboration, empathy, and our ability to lead effectively. As a result, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs.

OurCareers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.

Our commitment to safety

At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.

Our commitment to inclusion

Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected].

For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,899,069 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Management
Similar stack
Same company
Mountain View
$110k – $183k per year • Remote (United States) • Full-Time • 7+ years exp • Bachelor's Degree • The Woodlands
Apply
$126k – $210k per year • Hybrid • Full-Time • 10+ years exp • Bachelor's Degree • Columbus
TypeScript
DevOps
Azure
Management
Agile
MedTech
FHIR
Apply
$108k – $136k per year • In office • 5+ years exp • Bachelor's Degree • United States
DevOps
Wi-Fi
Apply
$98k – $151k per year • In office • Full-Time • 7+ years exp • High School Diploma • New Albany
Management
Agile
Apply
$180k – $185k per year • In office • 8+ years exp • Bachelor's Degree • Seattle
Apply
In office • Full-Time • 3+ years exp • Bachelor's Degree • Hanoi
Python
C++
AI/ML
Computer Vision
VLM
ONNX
TensorRT
PyTorch
LLM
Anomaly Detection
Image Segmentation
Vision-Language-Action
Machine Learning
DevOps
Git
Robotics
Localization
Motion Planning
Apply
≈ $49k – $117k per year (Estimated) • In office • Full-Time • 10+ years exp • Master's Degree • Shanghai
AI/ML
VLM
Vision-Language-Action
Physical AI
Robotics
ROS
ROS2
Sensor Fusion
Motion Planning
Apply
$47k – $61k per year (gross) • In office • Full-Time • 2+ years exp • Singapore
Python
Python
Flask
FastAPI
AI/ML
Reinforcement Learning
Scikit-learn
Computer Vision
NLP
ONNX
TensorFlow
NumPy
Keras
PyTorch
Anomaly Detection
Time Series
Machine Learning
DevOps
Rest API
Docker
Kubernetes
Robotics
ROS
ROS2
SLAM
Sensor Fusion
Motion Planning
Perception
Autonomous Navigation
Reinforcement Learning
Apply
≈ $131k – $221k per year (Estimated) • Remote (United States) • Nationals only • Pittsburgh
Python
C++
AI/ML
Machine Learning
Robotics
Motion Planning
Apply
$199k – $292k per year • Equity • Remote (United States) • Master's Degree • San Francisco
C++
Robotics
Motion Planning
Apply
$189k – $303k per year • In office • Full-Time • 10+ years exp • Dallas
Apply
≈ $94k – $227k per year (Estimated) • Equity • Hybrid • Full-Time • 7+ years exp • San Francisco • Pittsburgh • Dallas
Analytics
Power BI
Looker
Management
Confluence
Jira
Apply
$115k – $167k per year • Equity • In office • Full-Time • 5+ years exp • Bachelor's Degree • Coppell
Management
Confluence
Jira
Apply
$115k – $167k per year • Equity • In office • Full-Time • 7+ years exp • Bachelor's Degree • Coppell
Python
Analytics
Power BI
Management
Confluence
Jira
Apply
$115k – $167k per year • Equity • In office • Full-Time • 7+ years exp • Bachelor's Degree • Coppell
Management
Confluence
Jira
MedTech
CAPA
Apply
≈ $159k – $292k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • Mountain View
Apply
≈ $60k – $114k per year (Estimated) • In office • Contractor • 3+ years exp • Bachelor's Degree • Mountain View
Apply
≈ $157k – $335k per year (Estimated) • In office • Mountain View
Python
C++
AI/ML
Function Calling
AI Agents
Gemini
LLM
RAG
Context Engineering
Agentic Workflows
Mobile
Clean Architecture
Apply
≈ $170k – $312k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • Mountain View
AI/ML
Multimodal AI
Apply
≈ $169k – $320k per year (Estimated) • In office • 10+ years exp • Bachelor's Degree • Mountain View
Apply
See all jobs
This is one of many
1,899,069 more open roles from verified company boards, updated every day.