Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Крутая вакансия
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Это четко очерченная экспертная роль с ответственностью за критически важную валидацию автономного вождения и решения о запуске.
Влияние на запуск
Актуальные технологии
Перспективная сфера
Выше рынка
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principle Systems Engineer - Autonomy Behavior Validation (Autonomous Driving): Defining and validating autonomous vehicle behavior across requirements, simulation, road data, launch decisions, and fleet monitoring with an accent on safety evidence, coverage, and traceability. Focus on diagnosing failures across perception, prediction, planning, and controls, designing scalable validation systems, and guiding AI-assisted workflows for high-consequence release decisions.
Location: Sunnyvale, California, United States
Salary: $238,700–$365,700 annual base salary; bonus potential and benefits are also offered.
Company
hirify.global develops automotive products and technologies focused on zero crashes, zero emissions, and zero congestion.
What you will do
Set the technical strategy and systems engineering approach for autonomy behavior validation across capabilities, programs, and releases.
Define readiness criteria for autonomous behavior and connect safety claims, hazard analysis, requirements, and evidence to supervised release, driverless launch, and continuous release decisions.
Diagnose complex behavior issues across perception, prediction, planning, and controls, using fleet and incident data to address behavioral escapes and coverage gaps.
Design validation strategies combining simulation, road data, closed-course testing, human references, and expert review while balancing coverage, confidence, fidelity, runtime, and cost.
Guide validation tools, data pipelines, scorecards, and AI-assisted or agentic workflows toward repeatable, scalable products.
Lead cross-functional technical reviews, mentor engineers, and advance systems engineering and validation practices across the autonomous vehicle organization.
Requirements
Master’s degree in systems engineering, mechanical engineering, aerospace engineering, electrical engineering, computer science, robotics, or a related field, plus 10 or more years of professional experience in autonomous vehicles, robotics, simulation, systems engineering, or safety-critical validation.
Proven experience evaluating autonomous vehicles for a self-driving fleet, launch, supervised release, or another high-consequence product decision, including owning or materially shaping a go/no-go recommendation.
Deep end-to-end expertise in autonomous driving, including how perception, prediction, planning, and controls produce on-road behavior across scenarios, road users, and operating conditions.
Strong systems engineering fundamentals covering decomposition, ODD definition, requirements strategy, V&V planning, traceability, and simulation evaluation at scale.
Strong Python and agentic workflow experience, including designing and reviewing production-quality analysis and validation software.
Demonstrated technical leadership across organizational boundaries, including setting direction adopted beyond one team and clearly explaining results, assumptions, and limitations to engineers and senior leaders.
Nice to have
Technical leadership experience validating a driverless commercial launch or expansion into new operating domains.
Experience evaluating learned or end-to-end driving systems, including behavior characterization, regressions, and generalization.
Experience with human benchmarking, counterfactual or replay methods, and their use in broader validation strategies.
Experience building or using a safety case; familiarity with STPA, FMEA, fault trees, ISO 21448 (SOTIF), UL 4600, or ISO 26262.
Experience with risk quantification, risk acceptance, and translating legal or regulatory expectations into a defensible compliance strategy.
Experience designing validation lifecycles, scorecards, confidence rubrics, or behavior protocols used by multiple engineering teams.
Culture & Benefits
Full-time employment with health, dental, vision, HSA, FSA, retirement savings, sickness and accident benefits, life insurance, paid vacation and holidays, and tuition assistance.
Additional employee assistance and GM vehicle discount programs are available.
Compensation includes potential incentive pay based on company performance, job level, and individual performance.
Applicants may be required to complete a role-related assessment and pre-employment screening where applicable.
hirify.global provides reasonable accommodations and supports an inclusive, non-discriminatory workplace.
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