Skills this job asks for
ComplianceStatisticsLean / Six SigmaCommunicationLeadershipPower BIJiraMachine learningSQLPythonReconciliationBudgeting
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 606 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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✓
What General Motors Company paid sponsored hires in similar roles22 certified filings for “Senior Software Engineer” (Software Quality Assurance Analysts and Testers) in MI: $112k–$137k, median $125k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 606 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What General Motors Company paid sponsored hires in similar roles
- 22 certified filings for “Senior Software Engineer” (Software Quality Assurance Analysts and Testers) in MI: $112k–$137k, median $125k. Most were filed at wage level IV (68%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
Job Description
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt.
We’re turning today’s impossible into tomorrow’s standard — from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
The Role
The Lab Quality Engineer is a recognized technical contributor and resource in Engine Dyno Testing. The position requires the ability to address the broadest and most complex problems.
What You’ll Do
• Provide guidance to the engineering team for the instrumentation, equipment and software required for compliant testing
• Provide guidance and support to laboratory operations and quality teams to relative to the processes and procedures required to ensure compliant testing
• Validate compliance of the measurement instrumentation, diagnostics and calibrations
• Validate compliance of the test procedure and data collected for each required test or test sequence
• Collaborate with teams to solve problems, improve FTQ
• Collaborate with teams to develop tools and processes to improve efficiency
• Lead innovation activities in the Quality Department
• Complete Quality systems related activities
• Train team members on tools and processes
• Maintain documents related to Standard Work for projects
• Review data and perform statistical analysis
• Maintain status of department, projects, and Business Plan Deployment related tasks
• Maintain quality reports related to laboratory and operations, issuing monthly reports for status
• Perform data acquisition and database management using various PC computer software packages and keep records of status and changes
• Refer to the employee training documents maintained and held by the supervisor for specifics as to required job training
Your Skills & Abilities (Required Qualifications)
• Bachelors Degree - Engineering degree preferred, other fields of study combined with appropriate experience may be considered
• Red X, OPEX, DFSS certifications
• Working knowledge of automotive vehicle systems
• Knowledge of and application of statistical methods if applying data analysis
• Working knowledge of lean engineering / quality systems and strong critical thinking skills
• People skills to work effectively with others including global teams and strong oral/written communication skills to effectively interface with GPG leadership
Preferred Skills
• Data and analytics experience: Three or more years in data analytics, data engineering, database development, predictive modeling, or a related field; bachelor’s degree or equivalent practical experience.
• Databricks and BI expertise: Advanced hands-on experience with Databricks and Power BI, including production workloads, large datasets, data warehousing, troubleshooting, and performance optimization; familiarity with Jira Cloud, Immuta, or Atlan is a plus.
• Data engineering and AI/ML: Strong SQL and Python skills with experience in data transformation, reconciliation, predictive modeling, forecasting, regression analysis, machine learning, and developing or deploying AI/ML models and agents.
• Governance and solution delivery: Practical experience with data quality, metadata, lineage, stewardship, controlled access, system dependencies, testing, version control, and translating business needs into reliable data solutions.
• Architecture and operational insight: Experience designing data products, lakehouses or warehouses, APIs, workflows, or in
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