Systems Engineer – Safety Methodologies

🕒 January 21

🇺🇸 United States – Remote

💵 $126.2k - $188.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Systems Engineer

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Waabi

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🚗 Transport

🤖 Artificial Intelligence

🔧 Hardware

💰 Venture Round on 2023-01

Transport • Artificial Intelligence • Hardware

Waabi is a company at the forefront of autonomous trucking technology. Led by AI and self-driving pioneer Raquel Urtasun, Waabi uses advanced Generative AI to develop scalable and safe self-driving solutions. The Waabi Driver, their cutting-edge product, blends an end-to-end trained AI stack with an interpretable architecture, facilitating OEM integration and large-scale commercialization. Waabi World, their highly advanced simulation engine, offers a realistic and immersive environment that accelerates the development and deployment of self-driving technology by reducing the reliance on extensive real-world testing. With partnerships and a visionary approach, Waabi aims to revolutionize logistics and supply chain industries.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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!