Staff Systems Engineer - Safety Methodologies

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Autonomous Vehicles, BiotechnologyIndustries

Requirements

Candidates must possess an undergraduate degree, with a Master's or PhD in an engineering discipline preferred. A minimum of 7 years of experience in the automotive, robotics, or a closely related industry is required, along with proven experience in developing safety cases for autonomous vehicles. Proficiency in utilizing simulation and real-world testing for readiness decisions is essential, as is familiarity with safety methodologies like STPA, SOTIF (ISO 21448), and/or UL 4600. Strong foundational knowledge in mathematics, engineering, and physics is necessary, complemented by excellent scripting and data analysis skills using tools such as Python and SQL. The ideal candidate is a collaborative team player with a passion for self-driving technologies and problem-solving.

Responsibilities

The Staff Systems Engineer will lead the development, execution, and enhancement of the safety framework, defining criteria for driverless autonomy readiness. Responsibilities include collaborating with external partners to gather and analyze real-world truck driving data for human performance benchmarking and safety assessments. The engineer will define simulation-based verification coverage, develop quantitative metrics for system readiness, and work with engineering teams to identify and address safety gaps. They will also implement tools and methodologies to optimize safety validation processes, create clear safety artifacts, and mentor peers to foster technical excellence and collaboration.

Skills

Safety Framework Development

Systems Engineering

Autonomous Driving

Data Analysis

Verification Coverage

Quantitative Metrics

Human Performance Benchmarking

Generative AI

Waabi

Develops self-driving technology for trucking

About Waabi

Waabi focuses on developing self-driving technology specifically for the trucking industry. Their main product, the Waabi Driver, is designed to learn from experiences, adapt to new situations, and work with various hardware setups. This technology aims for large-scale use and is intended for integration into vehicles by original equipment manufacturers (OEMs). A key feature that sets Waabi apart from competitors is its use of Waabi World, an advanced simulation environment that allows for efficient development of their self-driving systems. This reduces the need for extensive real-world testing, which can be costly and time-consuming, while also improving safety and adaptability. Waabi's goal is to transform the trucking industry by providing technology that lowers operational costs and enhances safety for commercial vehicles. They aim to license their technology to trucking companies and OEMs, making it easier for these businesses to adopt self-driving solutions.

Toronto, CanadaHeadquarters

2021Year Founded

$265.9MTotal Funding

SERIES_BCompany Stage

Automotive & Transportation, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Flexible Work Hours

Company Equity

Risks

Increased competition from Aurora and Volvo may impact Waabi's market share.

Reliance on NVIDIA's technology poses risks if supply chain issues arise.

Regulatory changes in Texas could affect Waabi's deployment timeline and costs.

Differentiation

Waabi uses advanced simulation technology, Waabi World, to reduce real-world testing needs.

The company employs a unique AI-first approach, minimizing data and computation requirements.

Waabi's generative AI enhances self-driving technology efficiency and deployment speed.

Upsides

Waabi's partnership with NVIDIA boosts its technological capabilities and market reach.

The $200 million funding round indicates strong investor confidence in Waabi's potential.

Launching in Texas positions Waabi in a favorable tech and logistics environment.

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