Systems Engineer - Behavior Verification (Autonomous Vehicles)

Location: Remote US or San Francisco, CA; Dallas, TX; Phoenix, AZ; Pittsburgh, PA; Toronto, ON

Salary: $149,000–$190,000 USD per year in the US or $160,000–$204,000 CAD per year in Canada, plus discretionary equity incentive awards and annual performance bonus.

Company

hirify.global is a technology startup building Physical AI for commercial autonomous trucks and robotaxis.

What you will do

• Design and document scenario and test sets that measure on-road behavior performance from minimum to comprehensive coverage.
• Define and run scenario validity checks, approve or refuse test sets, and own what enters the software release pipeline.
• Maintain quality feedback for scenarios, taggers, graders, and the taxonomy supporting test sets.
• Translate behavior requirements into testable criteria, targets, and acceptance criteria with the Behavior Requirements team.
• Investigate behavior deficiencies, identify additional instances and exposure, and return test escapes to the pipeline.
• Distinguish genuine behavior failures from simulation artifacts and coordinate verification cadence across motion planning, simulation, evaluation, operations, safety methodology, and platform teams.

Requirements

• Bachelor’s or Master’s degree in a relevant engineering or related field, such as Software Engineering, Electrical Engineering, Computer Science, Robotics, Advanced Controls, or Aerospace.
• Experience verifying safety-critical systems, ideally in autonomous vehicles.
• Experience designing test cases from requirements and assessing test-set coverage and gaps.
• Applied statistics, including sample size, confidence, and interpreting what results do and do not support.
• Proficiency in Python and ability to navigate a large codebase.
• Familiarity with autonomous-vehicle requirements, behaviors, and design methodologies.
• Ability to structure, document, and prioritize a large number of test sets and test strategies.
• Ability to work diplomatically across teams with differing views.
• Commitment and accountability for personal and shared responsibilities.

Nice to have

• Trucking or heavy-vehicle exposure.
• Machine learning experience, particularly model evaluation and false-positive/false-negative trade-offs.
• Exposure to NHTSA, ISO 26262, or SOTIF regulatory frameworks.
• Familiarity with tooling for extracting coverage and exposure from large driving-log sets.
• Comfort working in a newly formed team where processes must be built rather than followed.

Culture & Benefits

• Full-time employment with medical, dental, and vision coverage.
• Unlimited vacation, flexible hours, and work-from-home support.
• Competitive compensation and equity awards.
• Daily drinks, snacks, and catered meals when working in an office.
• Regular team-building activities and social events held on-site, off-site, and virtually.