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Torc Robotics
AI & Machine Learning 2h ago

Senior SOTIF Engineer

Torc Robotics
🌍Vatican City
Full-time
$177,300 — $212,800 USD
Senior-Level

Job Description

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What You'll Be Doing:

As a Senior SOTIF Engineer, you will play a key role in evaluating and enhancing the safety and reliability of autonomous trucking systems. You will work with functional safety engineers, system engineers, design teams, AI-ML engineers, and SW Devs to ensure that SOTIF acceptance criteria are met and that autonomous systems operate safely and effectively under all conditions.

  • Work closely with functional safety and system engineers to ensure SOTIF targets are achieved in autonomous vehicle development.

  • Lead SOTIF evaluations and guide engineers to meet SOTIF acceptance criteria

  • Interact with AI-ML engineers and SW Developers to ensure the safety of Torc solutions

  • Identify functional insufficiencies and triggering conditions, providing risk assessment (HIRE analysis) and safety improvements.

  • Define areas for design improvement and collaborate with design teams to refine system specifications.

  • Evaluate the completeness of design specifications to ensure they meet SOTIF maturity standards.

  • Derive acceptance criteria for S>0, C>0 analysis and lead discussions on necessary functional modifications.

  • Develop verification and validation targets for known and unknown safety scenarios.

  • Support SOTIF-related operational strategies, ensuring the safe deployment of autonomous vehicles.

  • Communicate SOTIF achievement metrics and risk assessments to management and key stakeholders.

  • Collaborate with systems design and architecture teams to ensure SOTIF considerations are integrated into autonomous trucking specifications.

What You’ll Need to Succeed:

  • Demonstrates competences and technical proficiencies typically acquired through:

    • Master’s Degree in Computer Science, Computer Engineering, Systems Engineering, or equivalent with 3+ years relevant experience.

    • Bachelor’s Degree in Computer Science, Computer Engineering, Systems Engineering, or equivalent with 6+ years relevant experience.

  • Strong knowledge of automotive, heavy-duty truck, or aerospace products and industries.

  • Expertise in ISO 21448 (SOTIF), ISO-PAS 8800 (Safety and AI), ISO 26262 (Functional Safety) with a proven track record of applying these standards in complex engineering environments.

  • Excellent project management and leadership skills, with the ability to drive safety initiatives across cross-functional teams.

  • Strong analytical skills, with the ability to assess risks, derive safety requirements, and define verification & validation strategies.

  • Highly organized and capable of handling multiple projects in a fast-paced, evolving environment.

  • Strong interpersonal and communication skills, with the ability to collaborate effectively across engineering teams and leadership.

  • Detail-oriented, self-motivated, and able to work independently while also leading discussions and influencing stakeholders.

  • Comfortable working in an environment of ambiguity and rapid change, with the ability to quickly adapt and make informed safety decisions.

  • Ability to ethically handle sensitive and confidential information with impartiality and professionalism.

Bonus Points!

  • Understanding / knowledge of AI-ML techniques

  • Experience in SW development and knowledge of C++, Python, MATLAB/Simulink

  • Working knowledge of Jama, CAMEO, and JIRA

  • Experience in SAFe AGILE environments

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Torc Robotics (operating at torc.ai) is a leading autonomous vehicle software company engineered for safe, sustained innovation in the trucking industry. Founded in 2005 by Michael Fleming and a group of Virginia Tech students, and headquartered in Blacksburg, Virginia, Torc Robotics offers a complete autonomous software solution for the trucking/freight industry. Under the hood, the physical AI developed at Torc enables self-driving trucks to perceive, understand, and perform complex actions in the real (physical) world. This allows experienced partners to commercialize autonomous solutions. Not specified.

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