Systems Engineer - Behavior Verification

Accountabilities • Design comprehensive verification strategies: Develop, structure, and document scenario-based test sets that evaluate autonomous driving behavior, from minimum release requirements to comprehensive performance assessments.

• Govern software release readiness: Define and execute scenario validity checks, assess test set quality, and approve or reject test sets before they are used to evaluate software releases.

• Maintain test artifact quality: Establish continuous quality feedback processes for scenarios, taggers, graders, and the taxonomies supporting behavior verification, ensuring test artifacts remain accurate, consistent, and trustworthy.

• Translate requirements into measurable criteria: Collaborate with Behavior Requirements teams to convert behavioral expectations into clear, testable acceptance criteria and performance targets that support formal verification decisions.

• Investigate behavioral deficiencies: Analyze identified failures, find additional instances, quantify exposure to relevant scenarios, and feed missed issues back into the verification pipeline as test escapes.

• Distinguish software failures from simulation limitations: Determine whether observed issues represent genuine autonomous driving deficiencies or simulation artifacts, and communicate simulation fidelity gaps to the appropriate engineering teams.

• Coordinate cross-functional verification activities: Work with motion planning, simulation, evaluation, operations, safety methodology, and platform teams to align interfaces, responsibilities, and verification processes.

• Define verification phases and testing cadence: Establish appropriate testing frequencies and verification requirements for daily software releases, significant increases in operational exposure, and other critical development milestones.

• Support evidence-based release decisions: Deliver clear assessments of autonomous driving behavior, test coverage, and identified risks to inform decisions about software readiness and release progression.

• Continuously improve verification processes: Identify gaps in scenario coverage, refine test strategies, and help build scalable verification methodologies as the technology and organization evolve.

Requirements

• Bachelor's or master's degree in a relevant engineering or technical discipline, such as Software Engineering, Electrical Engineering, Computer Science, Robotics, Advanced Controls, Aerospace Engineering, or a related field.

• Professional experience verifying safety-critical systems, ideally within autonomous vehicles or other complex, safety-sensitive engineering environments.

• Demonstrated experience designing test cases from system requirements and evaluating test coverage, including identifying gaps and limitations in existing test sets.

• Applied statistical knowledge, including sample size selection, confidence assessment, and the ability to interpret what test results do and do not establish.

• Proficiency in Python and the ability to navigate, understand, and contribute to a large and complex codebase.

• Familiarity with autonomous vehicle requirements, driving behaviors, and systems engineering or design methodologies.

• Strong organizational skills, with the ability to structure, document, prioritize, and maintain large collections of test sets and verification strategies.

• Excellent analytical and problem-solving abilities, including a rigorous approach to evaluating evidence, identifying behavioral failures, and distinguishing genuine issues from simulation artifacts.

• Strong communication and cross-functional collaboration skills, including the ability to work diplomatically with teams that may have differing priorities or technical perspectives.

• A high degree of ownership, accountability, and commitment to quality, with the confidence to make evidence-based decisions and uphold verification standards.

• Adaptability, initiative, and a willingness to develop new processes in a growing technical organization.

Preferred qualifications:

• Experience with trucking, heavy vehicles, commercial transportation, or autonomous vehicle applications.

• Knowledge of machine learning systems, particularly model evaluation and the trade-offs between false positives and false negatives.

• Familiarity with relevant safety and regulatory frameworks, including NHTSA guidance, ISO 26262, and Safety of the Intended Functionality (SOTIF).

• Experience using tools and methodologies to extract scenario coverage and exposure metrics from large-scale driving log datasets.

• Comfort working within a newly established team where verification processes, standards, and workflows must be developed and continuously improved.

Benefits

• Competitive annual salary: USD $149,000–$190,000, depending on qualifications, experience, and other relevant compensation factors.

• Additional compensation: Eligibility for discretionary equity incentive awards and an annual performance bonus.

• Comprehensive healthcare coverage: Medical, dental, and vision benefits for eligible full-time employees.

• Flexible paid time off: Unlimited vacation policy, subject to applicable company guidelines and responsibilities.

• Flexible working arrangements: Flexible working hours and work-from-home support.

• Team-building opportunities: Regularly scheduled team activities and social events, both in person and virtually.

• Office amenities: Daily drinks, snacks, and catered meals when working from the office.

• Professional development: Opportunities to expand expertise in Physical AI, autonomous driving, behavioral verification, simulation, and safety engineering.

• Meaningful technical impact: Contribute directly to the development and verification of autonomous transportation technologies designed to improve safety and transform mobility.

• Collaborative environment: Work alongside talented engineers and specialists in AI, robotics, software, and autonomous systems.

• Inclusive workplace: Commitment to equal opportunity, accessibility, diversity, and a supportive environment where people from all backgrounds can contribute and grow.

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