Systems Engineer - Safety Methodologies

3 hours, 31 minutes ago
Full-time
Mid Level
Quality Assurance and Testing
Waabi

Waabi

Waabi is pioneering Physical AI by developing an advanced autonomous trucking system that utilizes a next-generation, interpretable, and verifiable AI model, significantly streamlining the process of safely deploying self-driving vehicles on public roads.

Road & Rail
51-250
Founded 2021
$82M raised

Description

  • Scale safety framework methods by defining requirements for automated assessment workflows.
  • Partner with autonomy and algorithms teams to implement and debug evaluation infrastructure.
  • Develop and monitor quantitative metrics to evaluate system performance against safety targets.
  • Optimize test coverage in Waabi’s high-fidelity simulator for safety-critical driving scenarios.
  • Define and iterate on human performance benchmarks for comparative safety assessments.
  • Identify safety gaps and ensure traceability between requirements, validation artifacts, and safety case claims.
  • Maintain structured documentation of safety artifacts and readiness decisions.
  • Use simulation and real-world data to create evidence for safe operation and autonomy readiness.

Requirements

  • Undergraduate degree required; a Master’s or PhD in an engineering discipline is preferred.
  • 3+ years of experience in automotive, robotics, or a related industry.
  • Experience contributing to the development of a safety case for autonomous vehicles.
  • Experience using simulation and real-world testing to make readiness decisions.
  • Knowledge of safety methods and standards such as STPA, SOTIF (ISO 21448), ISO/SAE PAS 22736, and UL 4600.
  • Strong fundamentals in mathematics, engineering, and physics.
  • Excellent scripting and data analysis skills with tools such as Python and SQL.
  • Ability to communicate complex concepts or data in a simple yet accurate manner.
  • Collaborative team player who works effectively across functional boundaries.
  • Bonus: experience launching a driverless product, data science and machine learning experience, software systems implementation experience, or advanced data mining, mathematics, and statistical analysis skills.

Benefits

  • Salary range of $126,225-$163,000 USD in the US or $154,000-$188,500 CAD in Canada.
  • Discretionary equity incentive awards.
  • Discretionary annual performance bonus.
  • Medical, vision, and dental coverage.
  • Unlimited vacation.
  • Flexible hours and work-from-home support.
  • Daily drinks, snacks, and catered meals when in office.
  • Regular team-building activities and social events.

Interested in this position?

Apply directly on the company website

Apply Now

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