Systems Engineer – Safety Methodologies

🕒 Janeiro 21

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $126.225 - $188.500 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

⚙️ Engenheiro de Sistemas

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Waabi

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2021

🚗 Transporte

🤖 Inteligência Artificial

🔧 Hardware

💰 Venture Round em 2023-01

Transport • Artificial Intelligence • Hardware

Waabi é uma empresa na vanguarda da tecnologia de caminhões autônomos. Liderada pela pioneira em IA e direção autônoma Raquel Urtasun, a Waabi utiliza IA Generativa avançada para desenvolver soluções autônomas escaláveis e seguras. O Waabi Driver, seu produto de ponta, combina um stack de IA treinado de ponta a ponta com uma arquitetura interpretável, facilitando a integração com OEMs e a comercialização em larga escala. O Waabi World, seu motor de simulação altamente avançado, oferece um ambiente realista e imersivo que acelera o desenvolvimento e a implantação da tecnologia autônoma ao reduzir a dependência de testes exaustivos no mundo real. Com parcerias e uma abordagem visionária, a Waabi visa revolucionar as indústrias de logística e cadeia de suprimentos.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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!