Jobs / United States / General Motors Company
Test Engineering, Data Engineering - Systems QA
General Motors Company · 🇺🇸 2 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- 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. USCIS also records 267 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- 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. 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 roles1 certified filing for “Manager - Systems Engineering” (Information Technology Project Managers) in TX: $202k–$202k, median $202k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
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.
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Sponsor Radar — General Motors Company
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. USCIS also records 267 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for General Motors Company →
About the role
Job Description Vacancy Status: This posting is for an existing vacancy within the organization and is open to new applications. AI Disclosure: As part of the application process, Artificial Intelligence will be used in the hiring process for this role Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three days per week, at minimum. About the Team The Data Engineering Systems QA team verifies the end-to-end data plane and control plane ecosystem connecting millions of intelligent vehicles to cloud platforms. Our mission is to ensure that vehicle data streaming from embedded controllers reaches cloud data platforms, mobile apps, and operational monitoring services with zero loss, while rigorously testing and monitoring controlled configuration rollouts and campaign operations across the fleet. The Role We are seeking a candidate in Test Engineering to strengthen our system verification and quality assurance team. This role is crucial for ensuring the integrity, scalability, and performance of our end-to-end data plane and control plane pipelines, extending from embedded vehicle components to cloud-based analytics platforms. In this role, you will develop automated verification for bench and vehicle levels of connected vehicle features, validating high-throughput telemetry ingestion, and vehicle health monitoring. The successful candidate will drive testing rigor across both physical test assets and cloud environments, ensuring our systems meet demanding quality, safety, and performance requirements. What You'll Do (Responsibilities) • End-to-End Test Strategy & Execution: Formulate, automate, and execute comprehensive test plans covering both data plane and control plane interfaces across vehicle edge, cloud infrastructure layers and beyond. • Hardware-in-the-Loop (HIL) Testing: Configure, maintain, and execute tests on benches, virtual test environments (SIL), and instrumented vehicle setups. • System Integration & Performance Testing: Conduct thorough integration, latency and throughput testing across edge and cloud boundaries; identify system bottlenecks and propose optimizations. • Data Integrity & Pipeline Verification: Validate data serialization, pipeline throughput, deduplication, and database persistence across ingestion feeds and analytical storage layers. • Observability & Defect Triage: Leverage monitoring dashboards, metrics, and distributed tracing to proactively detect anomalies, perform deep root-cause analysis, and track defect resolution across hardware and software teams. • Collaborative Engineering: Partner closely with embedded software developers, cloud platform teams, and system architects to facilitate seamless system integration and drive design-for-testability. • CI/CD & Test Automation: Build and maintain automated regression suites integrated into CI/CD pipelines to enforce quality gates for every software and firmware release. • Documentation & Quality Standards: Maintain rigorous documentation of system test benches, test frameworks, test results, and performance baselines. Your Skills & Abilities (Required Qualifications) • Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related technical discipline. • 3+ years of experience in software or systems testing, with exposure to embedded systems, connected devices, or IoT ecosystems. • Demonstrated hands-on experience with Hardware-in-the-Loop (HIL) testing, including test setup, wire harness troubleshooting, signal/bus simulation, test execution, and results analysis. • Proficiency in Python for automated testing, test harness creation, and data processing. • Practical ability to inspect, read, a