{"id":3265862,"url":"https://alion.io/job/waabi-systems-engineer-behavior-verification","title":"Systems Engineer - Behavior Verification","company":{"id":4483,"name":"Waabi","domain":"waabi.ai","url":"https://alion.io/company/waabi","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":90,"open_postings":61,"ghost_share":0,"stale_share":0.213,"repost_share":0,"time_to_fill_p50_days":92,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US","CA"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":98000,"max_usd":229000,"period":"year","method":"role_country_seniority_unknown","sample_n":15150},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Motion Planning","optional":false},{"name":"Python","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-10-23T15:40:48Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-11-01T05:42:34Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"At the heart of our mission is an unwavering commitment to safety. Behavior Verification answers one question: is the driver's on-road behavior good enough to release, and how can we prove it even further? We are seeking a rigorous and decisive systems engineer to build the evidence behind that answer. You will define the scenario and test set content that various Software releases are measured against and that enable the development of new capabilities and features, establish the validity checks that keep those test sets trustworthy, and act as the gatekeeper for what enters the release pipeline. Your work directly informs whether autonomy software is promoted.\nYou will…\nDesign and document the scenario and test sets that establish on-road behavior performance, from minimum to comprehensive.\nOwn what enters the release pipeline: define and run the scenario validity checks, and approve or refuse test sets before they are used to judge a release.\nMaintain continuous quality feedback of the artifacts test sets depend on - scenarios, taggers, graders and the taxonomy behind them.\nTurn behavior requirements into testable criteria, working with Behavior Requirements on targets and acceptance criteria that someone will sign.\nInvestigate behavior deficiencies: find further instances, establish what exposure we have to them, and return them to the pipeline as test escapes.\nDistinguish genuine behavior failures from simulation artifacts, and raise simulation fidelity gaps with the corresponding teams.Work across the organization - motion planning, simulation, evaluation, operations, safety methodology and platform - and hold the interfaces between them.\n\nAlign verification phases and cadence with the organization: what runs on a daily release, and what a significant step in exposure requires.\nQualifications:\nBachelor’s degree or Master’s degree in a relevant engineering or related field (e.g., Software Engineering, Electrical Engineering, Computer Science, Robotics, Advanced Controls, Aerospace, etc.).\nExperience verifying safety-critical systems, ideallyin autonomous vehicles.\nDemonstrated experience designing test cases from requirements, and assessing what a test set covers and what it misses.\nApplied statistics: sample size, confidence, and what a result does and does not support.\nProficiency in Python and the ability to navigate a large codebase.\nFamiliarity with autonomous vehicle requirements, behaviors and design methodologies.\nStrong ability to structure, document and prioritize a large number of test sets and test strategies.\nAbility to work cross-functionally in a diplomatic way, across teams that do not always agree.\nA drive for commitment and accountability, for yourself and for others.\nBonus/nice to have:\nTrucking or heavy-vehicle exposure.\nMachine learning experience, particularly model evaluation and false-positive / false-negative trade-offs.\nExposure to regulatory frameworks: NHTSA, ISO 26262, SOTIF.\nFamiliarity with the tooling required to extract coverage and exposure from large driving-log sets.\nComfortable working in a newly formed team, where the process has to be built rather than followed.","description_format":"text","description_chars":3162,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United 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