General Motors

Staff Software Engineer, Autonomy Evaluation

General Motors$172K — $251K *
US-AnywhereRemote in Sunnyvale, CA
Transportation
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience in robotics or autonomous systems software, covering multiple subsystems.
  • 3+ years leading evaluations of complex dynamic systems using numerical and ML on time series data.
  • Proficient in Python and experienced in large C++ codebases.
  • Demonstrated technical leadership across teams in strategy and architecture decision-making.
  • Advanced degree (PhD, Masters, or Bachelor’s) in Computer Science, Robotics, Mechanical or Aerospace Engineering, or related field.

Responsibilities

  • Define evaluation metrics and analysis strategies for autonomous driving software performance.
  • Lead collaboration across teams in embedding evaluation within development workflows.
  • Develop novel statistical and ML methods for performance quantification and regression detection.
  • Own and enhance key metrics and KPIs for AV readiness and safety, presenting insights to stakeholders.
  • Create interactive dashboards that make performance insights accessible to partner teams.

Benefits

  • Comprehensive health and wellbeing benefit programs including medical, dental, and vision.
  • Flexible spending accounts and health savings account options.
  • Retirement savings plans with company contributions.
  • Tuition assistance programs for personal and professional development.
  • Employee discounts on GM vehicles and participation in a company vehicle evaluation program.
Full Job Description
Job Description

The Evaluation team builds and evolves the evaluation ecosystem that powers developing and scaling GM's autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality. We own large scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework. By joining this team, you will help shape GM's core evaluation platforms, turn system-level results into clear feedback, and help accelerate validated AV deployment at scale.

What You'll Do

  • Define the strategy and architecture for metrics and analyses to evaluate autonomous driving software performance across the autonomy stack.


  • Lead cross-functional efforts with autonomy, systems engineering, simulation, and data teams to embed evaluation into development workflows and release decisions.


  • Invent and drive new statistical and ML methods, and ML introspection techniques, to quantify performance, detect regressions, and reveal patterns of system behavior at scale.


  • Own and refine key AV evaluation metrics and KPIs used for readiness and safety decisions; synthesize and present results and tradeoffs to stakeholders; make insights readily available to partner teams through interactive dashboards.


Your Skills and Abilities (Required Qualifications)

  • 7+ years applied experience with robotics or autonomous systems software, spanning multiple subsystems from perception through planning and control of the vehicle.


  • 3+ years leading evaluation of complex dynamic systems using numerical and ML approaches on large-scale time series data.


  • Proficiency developing Python in production team environments; strong ability to work in large C++ autonomy codebases.


  • Proven cross-team technical leadership, including defining strategies adopted by multiple teams and influencing system and architecture decisions.


  • PhD, Masters, or Bachelor's degree in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, or a related field.


What Will Give You a Competitive Edge (Preferred Qualifications)

  • Experience in autonomous driving or high-stakes field robotics; designing, running, and interpreting large-scale simulation and field experiments.


  • Deep familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy evaluation; command of Pandas, NumPy, SciPy, and visualization libraries.


  • Proficiency in C++ and SQL, and experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testing.


  • Experience working with ROS or other IPC, robotics stack logging, and with large-scale experiment databases, including designing or scaling evaluation platforms.


  • Prior development with computational geometry, linear algebra, PyTorch, and machine learning.


  • Background in modeling agent interaction and owning or designing release gating criteria and processes for autonomy systems.


Hybrid/Remote:

This role can be based remotely but if you live within a 50-mile radius of Sunnyvale or Mountain View you are expected to report to that location three times per week.

*This job may be eligible for relocation benefits if you are interested in relocating to the bay area.

Compensation

The salary range for this role is $172,800 and $251,650. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle

Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

#LI-TO1

About General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

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Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ

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