{"id":2039752,"url":"https://alion.io/job/general-motors-software-engineer-av-logging-and-observability","title":"Software Engineer, AV Logging and Observability","company":{"id":1705,"name":"General Motors","domain":"gm.com","url":"https://alion.io/company/general-motors-europe","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States","Washington, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":151000,"max_usd":318000,"period":"year","method":"role_country_seniority_unknown","sample_n":8485},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"BigQuery","optional":true},{"name":"C++","optional":true},{"name":"GCP","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Kubernetes","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-07T17:28:27Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-18T07:56:41Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Job Description\nThe AV Runtime team within GM’s Autonomous Vehicle Platform Core organization builds software and data systems that turn real-world driving into high-quality training and evaluation data for autonomous driving.\nOur systems collect sensor, vehicle, and scenario data used by teams developing perception, prediction, planning, and other autonomous-driving capabilities. We focus on capturing the right data from the fleet, preserving privacy, maintaining data quality, and reliably moving vehicle data into the AI development pipeline.\nWe build the software that helps autonomous vehicles learn from the real world.\nAbout the Role\nYou will own projects and technical workstreams that improve the reliability, observability, and operability of fleet-scale vehicle data recording and delivery. You will build Python software across cloud, backend, and data platforms so high-value vehicle and sensor data is captured, transferred, processed, and made usable for autonomous vehicle development.\nYou will refine requirements, define architecture and execution plans, lead design reviews and reliability investigations, resolve non-routine integration issues, and deliver production-ready solutions that improve service health, data quality, reliability, performance, privacy, and operational readiness. You will connect vehicle symptoms to cloud behavior, identify systemic failure patterns, drive cross-team corrective actions, and apply AI and LLMs to triage, telemetry analysis, issue classification, root-cause investigation, and engineering automation.\nYou will work across Python services, telemetry pipelines, cloud infrastructure, backend services, data storage, monitoring, metrics, and reliability workflows. You will collaborate across partner organizations-including cloud platform, backend, systems engineering, fleet operations, data engineering, and downstream consumers-to deliver reliable, diagnosable, and scalable fleet data capabilities.\nWhat You’ll Do\nOwn project-level initiatives that improve the reliability of vehicle-to-cloud data recording and telemetry workflows.\n\nDevelop Python software for telemetry processing, data validation, metrics, reliability automation, and operational tooling.\n\nBuild components that capture, filter, validate, package, store, and deliver vehicle and sensor data.\n\nDefine data-quality checks, metric semantics, dashboards, service-level indicators, and operational health measures.\n\nDebug complex issues across data pipelines, cloud ingestion, storage, distributed processing, monitoring systems, and backend integrations.\n\nApply AI and large language models (LLMs) to accelerate issue discovery, failure classification, root-cause analysis, knowledge retrieval, and workflow automation.\n\nCollaborate across cloud, backend, data engineering, fleet operations, and downstream teams to align interfaces, metrics, ownership, and operating expectations.\n\nImprove performance, scalability, observability, privacy, availability, and cloud cost across data workflows.\n\nDeliver reliable software through clear requirements, design reviews, code reviews, automated testing, CI, staged rollout, monitoring, and incident response.\n\nMentor engineers and contribute to reusable patterns, documentation, tooling, and continuous engineering improvement.\n\nBasic Qualifications\nBachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience.\n\nExperience delivering production-quality Python software, data workflows, or reliability projects with limited guidance.\n\nExperience with embedded SW, Robotics, Automotive, or a similar tech stack.\n\nStrong fundamentals in data structures, algorithms, operating systems, distributed systems, networking, and software design.\n\nStrong Python coding ability, including writing maintainable, testable, observable, and performance-conscious software.\n\nExperience with telemetry processing, data pipelines, cloud services, backend integrations, monitoring, or reliability automation.\n\nAbility to debug complex software, cloud, distributed-system, and data-integration issues and drive root-cause resolution.\n\nExperience owning technical requirements, plans, milestones, risks, and delivery for a project, feature area, or workstream.\n\nAbility to communicate technical tradeoffs clearly and collaborate effectively across engineering teams and organizations.\n\nPreferred Qualifications\nExperience building Python services, cloud applications, data-processing workflows, or reliability automation.\n\nExperience designing or operating cloud distributed architectures using Kubernetes, Google Cloud services, BigQuery, cloud storage, backend services, or distributed data-processing systems.\n\nExposure to C++ systems programming, IPC, messaging, networking, serialization, or data pipelines.\n\nExperience with cloud platforms, Kubernetes, container orchestration, cloud storage, backend services, or distributed data processing.\n\nExperience with telemetry, logging, observability, data quality, metrics, dashboards, or fleet-data recording systems.\n\nExperience with APIs, messaging, networking, serialization, storage, SQL, data contracts, or event-driven workflows.\n\nExperience applying AI or LLMs, data analysis, incident triage, workflow automation, or engineering productivity.\n\nExperience with fleet deployment, release monitoring, incident response, root-cause analysis, service-level indicators, or operational readiness.\n\nExperience mentoring engineers, leading design reviews, or driving cross-team and cross-organization technical initiatives.\n\nPrior experience in autonomous driving, distributed systems, data infrastructure, AI/ML infrastructure, platform software, or production operations.\n\nCompensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance withapplicable state laws. The compensation may not be representative for positions locatedoutside of New York, Colorado, California, or Washington.\nThe salary range for this role is 128,000to189,100. The actual base salarya successful candidate will be offered within this range will vary based on factors relevant to the position.\n\nBonus Potential: An incentive payprogram offers payouts based on company performance, job level, and individual performance.\n\nBenefits:\nBenefits: 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 assistanceprograms, employee assistanceprogram, GM vehicle discounts and more.\n\nIf selected out of Washington, in the future you will need to go to office in Seattle, WA.\n\nThis role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.\n\nRelocation benefits are available for candidates who qualify under company policy.\n\nThe position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).\n\nAbout GM\nOur 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.\nWhy Join Us\nWe 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.\nBenefits Overview\nFrom 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.\nNon-Discrimination and Equal Employment Opportunities (U.S.)\nGeneral 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.\nAll 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.\nWe 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.\nAccommodations\nGeneral 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 or call us at 1-800-865-7580. 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