System Safety Researcher — Entry Level

General Motors LLC

United States

Híbrido

USD 120.000 - 170.000

Jornada completa

Hace 3 días
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Descripción de la vacante

General Motors Research & Development seeks a System Safety Researcher to advance safety analyses, evidence-based decision-making, and safety-case development for complex, safety-critical products. You will align with regulatory expectations and industry best practices across engineering, AI/ML, cybersecurity, and product safety.

You will collaborate with leadership and cross-functional teams to strengthen traceability, evidence quality, and safety decisions throughout the development lifecycle,

Formación

  • Advanced degree in a technical field with a research focus.
  • Experience developing safety cases, assurance cases, or equivalent arguments.
  • Knowledge of safety standards such as ISO 26262, UL 4600, and related guidance.

Responsabilidades

  • Conduct safety analyses and develop system safety cases for complex products.
  • Define evaluation approaches, review evidence, identify gaps, and communicate recommendations.
  • Author safety-case materials for product submissions, audits, and regulatory audiences.
  • Integrate evidence from systems engineering, AI/ML, safety, cybersecurity, and validation.
  • Analyze impact of scope/architecture changes on safety claims and evidence.
  • Improve traceability and automate safety-evidence collection across lifecycles.

Conocimientos

Communication skills
Safety analysis
Evidence-based reasoning
Cross-disciplinary collaboration

Educación

MS or PhD in Engineering/Math/CS/Robotics/Safety Management

Herramientas

GSN

Descripción del empleo

General Motors Research & Development seeks a System Safety Researcher to advance safety analyses, evidence-based decision-making, and safety-case development for complex, safety-critical products. You will align with regulatory expectations and industry best practices across engineering, AI/ML, cybersecurity, and product safety.

You will collaborate with leadership and cross-functional teams to strengthen traceability, evidence quality, and safety decisions throughout the development lifecycle,

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