{"id":2969417,"url":"https://alion.io/job/general-motors-senior-robotics-data-engineerdata-scientist","title":"Senior Robotics Data Engineer/Data Scientist","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":{"grade":"B","score":84,"open_postings":63,"ghost_share":0,"stale_share":0.841,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warren, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":125000,"max":168650,"currency":"USD","period":"year","gross":null,"usd_annual":168650},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"Time Series","optional":false},{"name":"ROS","optional":true}],"status":"live","first_seen_at":"2026-08-18T00:00:00Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-10-22T05:31:12Z","board_verified":false,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":67},"description":"Job Description\nThis role is categorized as hybrid. This means the successful candidate is expected to report to Warren Global Technical Center, or Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].\nThe Role\nWe are seeking a Senior Full Stack Robotics Data Engineer / Data Scientist to join our manufacturing data organization. In this role, you will help build the data and data science backbone that enables scalable robotics intelligence across manufacturing environments. You will work across data engineering, applied data science, and production software to turn raw robotics data into trusted systems that support analytics, model development, operational insights, and continuous improvement.\nThis is a senior individual contributor role for someone who is comfortable working across data pipelines, cloud and application development, analytics, and cross-functional problem solving. You will partner with robotics engineers, manufacturing stakeholders, software developers, and other data engineers and data scientists to deliver robust end-to-end solutions that are reliable in production and valuable to the business.\nWhat You’ll Do\nDesign, build, and maintain end-to-end data and data science solutions for robotics data ingestion, processing, storage, analysis, visualization, and application access.\nCreate and optimize scalable data pipeline architecture for multimodal robotics and manufacturing data, including sensor streams, telemetry, images, time series, metadata, and operational data.\nPartner with robotics, manufacturing, business, and data science stakeholders to define requirements, resolve data issues, and support evolving infrastructure needs.\nBuild high-quality analytic datasets and delivery mechanisms that support business intelligence, analytics, model development, production monitoring, and decision support.\nApply statistical analysis, machine learning, and data science methods to identify patterns, diagnose issues, and improve system performance.\nTranslate real-world robotics behavior, anomalies, and failure modes into curated datasets, actionable insights, and measurable improvement loops.\nEnable reproducible analytics and model development through data versioning, lineage, traceability, experiment tracking, and production-grade MLOps workflows.\nBuild and maintain internal tools, APIs, master data, metadata, logical data models, and data standards that improve usability, governance, scalability, and reliability.\nDrive process and infrastructure improvements through automation, optimized data delivery, stronger engineering standards, and sound technical architecture.\nYour Skills & Abilities (Required Qualifications) \nBachelor's degree in Computer Science, Data Science, Robotics, Computer Engineering, Electrical Engineering, Mechanical Engineering, or a related technical field.\n5+ years of professional experience in data engineering, software engineering, machine learning engineering, applied data science, or a closely related role.\nStrong programming skills in Python and at least one additional language such as Java, C++, or Scala.\nExperience building and supporting production-grade data pipelines, backend services, APIs, and full stack data applications at scale.\nHands-on experience with big data, streaming, and distributed systems technologies such as Hadoop, Spark, Kafka, Spark Streaming, Storm, PostgreSQL, Cassandra, or similar platforms.\nExperience with cloud platforms, data orchestration frameworks, and data modeling for analytics, business intelligence, and machine learning use cases.\nExperience applying data science or machine learning techniques to real-world engineering or operational problems.\nStrong software engineering fundamentals, including version control, testing, CI/CD, documentation, automation, and production support.\nStrong problem-solving, organizational, communication, and cross-functional collaboration skills in a dynamic environment.\nWhat Can Give You a Competitive Advantage (Preferred Qualifications)\nAdvanced degree in Data Science, Robotics, Computer Science, Computer Engineering, or a related field.\nExperience working with robotics, autonomous systems, industrial IoT, manufacturing analytics, or other complex physical systems.\nHands-on experience with ROS/ROS 2, robotics telemetry, logging, replay, or simulation data workflows.\nExperience with machine learning lifecycle and data quality tooling, including feature engineering, experiment tracking, model registry, deployment automation, and active learning workflows.\nFamiliarity with data governance, lineage, auditability, and reproducibility requirements in regulated or safety-adjacent environments.\nExperience mentoring engineers, setting technical direction, or establishing engineering standards on complex initiatives.\nThis job may be eligible for relocation benefits.\nCompensation: \nThe expected base compensation for this role is: $125,000 - $168,650. Actual base compensation within the identified range will vary based on factors relevant to the position. \nBonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. \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 assistance programs, employee assistance program, GM vehicle discounts and more. \nGM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)\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. 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.","description_format":"text","description_chars":8295,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Automotive Manufacturing"],"lifecycle":[{"event":"open","at":"2026-10-21T01:30:12Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 795 · green card filings: 1","filings_12m":795,"filings_prev_12m":812,"green_card_filings_12m":1,"median_offered_wage_usd":147456,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":8}],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":0.9,"p_active":0.245,"p_room":0.28,"age_days":67,"expected_fill_days":12,"reasons":["conf:48","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":{"stated_usd_annual":168650,"is_top_pay":true},"html_url":"https://alion.io/job/general-motors-senior-robotics-data-engineerdata-scientist","json_url":"https://alion.io/job/general-motors-senior-robotics-data-engineerdata-scientist.json","meta":{"generated_at":"2026-10-24T16:10:41Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":23301,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1705},"rest":"https://alion.io/mcp/rest/get_company?id=1705"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgeneral-motors-senior-robotics-data-engineerdata-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgeneral-motors-senior-robotics-data-engineerdata-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgeneral-motors-senior-robotics-data-engineerdata-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/general-motors-senior-robotics-data-engineerdata-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgeneral-motors-senior-robotics-data-engineerdata-scientist"}]}