AI Platform Evaluation Software Engineer - Autonomous Vehicles

L, SIL, and on-road environments** , ensuring that failures are:

• Correctly detected and interpreted

• Consistently categorized and de-duplicated

• Rapidly mapped to the right owners and solution space

You will collaborate closely with AV software engineers, ML engineers, systems engineers, test platform owners, and release/safety stakeholders to ensure reliability signals directly influence engineering priorities and release decisions .

If you are passionate about software reliability, failure analysis, and building AI-driven systems that help organizations learn faster from complex ML-based AV software, this role is for you.

Key Responsibilities

• Own the AV software reliability triage framework for the on-vehicle / AV platform stack, defining how failures from simulation, CI, HIL/SIL, and on-road validation are detected, grouped, and escalated into actionable tickets and insights.

• Perform deep debugging and root-cause analysis across:

• AV platform and framework code

• Perception / planning / control software integrations

• ML pipelines and model rollouts

• Vehicle compute and hardware interfaces (sensors, ECUs, networks)
  Connecting failure symptoms (logs, time-series, traces) to clear solution paths and corrective actions.

• Design and evolve automated triage mechanisms and reliability taxonomies that:

• Improve regression detection and signal-to-noise ratio

• Identify flaky tests and intermittent platform issues

• Enable consistent failure classification across teams and releases

• Build and govern reliability data pipelines for AV software:

• Ingest logs, metrics, traces, and test results across CI, simulation, and vehicle runs

• Compute stability trends, recurrence patterns, and systemic risks

• Provide dashboards and views that support day-to-day triage and release readiness reviews

• Apply AI / ML to reliability triage , for example:

• Clustering and de-duplicating failures across large-scale test runs

• Learning-based suggestions for ownership, component mapping, and likely root causes

• LLM-powered summaries of complex failure scenarios for engineers and leadership

• Translate reliability findings into decision-grade communication :

• Influence prioritization of bugs vs.technical debt vs.feature work

• Provide input to go/no-go decisions and safety/release governance

• Create clear narratives and visuals for engineering, safety, and leadership audiences

Required Qualifications

• Strong proficiency in Python for automation, log analysis, data processing, and reliability tooling.

• Proficiency in SQL for querying reliability and test data, building views, and supporting dashboards.

• Proven experience with CI/CD systems (e.g., GitHub Actions, Jenkins, GitLab CI or equivalent) used to run automated tests for complex software systems.

• Hands-on experience implementing ETL/ELT pipelines for reliability, quality, or system health monitoring (e.g., ingesting logs/metrics from test runs, building reliability datasets).

• Solid understanding of software reliability engineering concepts , including:

• Regression tracking

• Flakiness detection and management

• Failure classification and de-duplication

• Release criteria and quality gates for software

• Strong analytical and cross-stack debugging skills in large-scale distributed or real-time software systems , ideally with C++ and/or Python-based services .

• Experience integrating simulation, HIL/SIL, or system-level AV/robotics test signals into automated analysis workflows.

• Track record of effective cross-functional collaboration with software engineering, QA, test platform, and systems teams .

• Ability to operate autonomously in high-ambiguity, safety-critical environments, driving clarity and decisions from noisy data.

• Excellent written and verbal communication skills for presenting data-driven reliability insights to engineers and technical leadership.

• Bachelor's, Master's, or PhD in Computer Science, Electrical/Computer Engineering, Robotics, or a related field - or equivalent software-focused experience .

Preferred Qualifications

• Experience with reliability governance in ML-based or AV systems , including:

• Model rollout policies

• Guardrails / kill-switches

• Shadow or A/B validation strategies

• Familiarity with reliability methodologies (e.g., FMEA, reliability growth analysis, MTBF trends) applied to software and integrated AV platforms.

• Knowledge of AV / ADAS software architectures , including:

• Perception / localization / planning / control pipelines

• On-vehicle platform software, middleware, and simulation-to-road validation loops

• Experience building reliability or analytics pipelines in cloud environments (AWS, GCP, Azure) to support AV software validation at scale.

• Familiarity with observability and visualization tools (e.g., Grafana, Superset, Power BI, or similar) for reliability dashboards and on-call / triage workflows.

• Experience using Jira, GitHub Projects , or similar tools to design reliability triage workflows, routing, SLAs, and dashboards.

• Experience applying AI / ML or LLMs to:

• Log analysis and anomaly detection

• Failure clustering and root-cause suggestion

• Automated summarization of complex test outcomes

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
• The salary range for this role: is $123,200 to $189,100. 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

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Total Rewards | Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.