Waabi logo
Waabi

Building the next generation of self-driving technology

Systems Engineer – Safety Methodologies

Systems EngineerSystems EngineerOtherRemoteSeniorTeam 51-200Since 2021H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

137 days ago

Salary

$126.2K - $188.5K / year

Seniority

Senior

Bachelor Degree3 yrs expEnglishPythonSQL

Job Description

Systems Engineer – Safety Methodologies

Waabi

• Scale safety framework methods by defining requirements for automated assessment workflows and partnering with the autonomy and algorithms teams to implement and debug the evaluation infrastructure. • Develop and monitor quantitative metrics to evaluate system performance against established safety targets. • Optimize test coverage within Waabi’s high-fidelity simulator to validate driving behaviors across safety-critical scenarios. • Define and iterate on human performance benchmarks to support robust 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 to ensure rigorous transparency and traceability.

Job Requirements

  • Undergrad required; Masters or PhD within an engineering discipline preferred.
  • 3+ years of automotive, robotics or related industry experience.
  • Experience contributing to the development of a safety case for autonomous vehicles.
  • Experience with using simulation and real-world testing to make readiness decisions.
  • Knowledge of relevant 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.
  • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
  • Bonus/nice to have:
  • Experience in launching a driverless product.
  • Experience in data science and machine learning
  • Experience implementing software systems components.
  • Advanced skills in data mining, mathematics, and statistical analysis.

Benefits

  • Competitive compensation and equity awards.
  • Premium choices for Health and Wellness benefits that include Medical, Vision and Dental coverage.
  • Unlimited Vacation.
  • Flexible hours and Work from Home support.
  • Daily drinks, snacks and catered meals (when in office).
  • Regularly scheduled team building activities and social events.
  • As we grow, this list continues to evolve!

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