Systems Engineer – Behavior Verification

Job not on LinkedIn

🔥 0 minutes ago

🌐 United States, Canada – Remote

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🌵 Arizona, California, +2 more states – Remote

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💵 $149k - $190k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Systems Engineer

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Logo of Waabi

Waabi

51 - 200 employees

Founded 2021

🚘 Automotive

🏭 Manufacturing

💼 Consulting

💰 Venture Round on 2023-01

Automotive • Manufacturing • Consulting

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

• Design and document scenario and test sets establishing on-road behavior performance • Define and run scenario validity checks, and approve or refuse test sets before release evaluation • Maintain continuous quality feedback for scenarios, taggers, graders, and taxonomy artifacts • Turn behavior requirements into testable criteria and acceptance targets • Investigate behavior deficiencies, identify exposure, and return issues to the pipeline as test escapes • Distinguish genuine behavior failures from simulation artifacts and raise simulation fidelity gaps • Work across motion planning, simulation, evaluation, operations, safety methodology, and platform teams • Align verification phases and cadence for daily releases and significant exposure steps

🎯 Requirements

• Bachelor’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.) • Experience verifying safety-critical systems, ideally in autonomous vehicles • Demonstrated experience designing test cases from requirements, and assessing what a test set covers and what it misses • Applied statistics: sample size, confidence, and what a result does and does not support • Proficiency in Python and the ability to navigate a large codebase • Familiarity with autonomous vehicle requirements, behaviors and design methodologies • Strong ability to structure, document and prioritize a large number of test sets and test strategies • Ability to work cross-functionally in a diplomatic way, across teams that do not always agree • A drive for commitment and accountability, for yourself and for others • Trucking or heavy-vehicle exposure • Machine learning experience, particularly model evaluation and false-positive / false-negative trade-offs • Exposure to regulatory frameworks: NHTSA, ISO 26262, SOTIF • Familiarity with the tooling required to extract coverage and exposure from large driving-log sets • Comfortable working in a newly formed team, where the process has to be built rather than followed

🏖️ Benefits

• Competitive compensation and equity awards • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only) • 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 both on-site, off-site & virtually

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