Join our trailblazing Autonomy Systems and Release (ASR) team, where safety meets innovation. As a Software Safety Engineer, you’ll play a pivotal role in ensuring our autonomy applications are designed and implemented with the highest safety standards, enabling trust, reliability, and compliance in cutting-edge autonomous systems. 

What You'll Do 

• Safety Risk Assessment: Conduct thorough risk assessments for autonomy software, identifying potential hazards and ensuring risks are mitigated effectively. 

• Safe Machine Learning Practices: Develop and implement strategies to ensure the safety and reliability of machine learning components in autonomous applications. 

• Standards Compliance: Lead efforts to comply with safety standards such as ISO 26262 (Functional Safety) Part 6, ISO 21448 (Safety of the Intended Functionality), and other relevant frameworks, including ISO PAS 8800 Road Vehicles Safety and Artificial Intelligence. 

• Safety Architecture Design: Collaborate with the systems engineering team to integrate safety requirements into logical and deployment architectures, ensuring seamless alignment with overall product goals. 

• Safety Case Development: Create and maintain safety case artifacts to demonstrate compliance with regulatory and functional safety requirements. 

• Collaboration: Work with product, perception, and vehicle intent teams, as well as safety and compliance organizations, to ensure safety is a fundamental part of every stage of development. 

 

Characteristics You'll Need 

• Deep understanding of safety-critical systems and a passion for ensuring autonomous technologies are safe and reliable. 

• Analytical mindset with the ability to identify, assess, and mitigate complex safety risks. 

• Strong communication skills to clearly convey safety requirements, assessments, and solutions to both technical and non-technical audiences. 

• Collaborative approach, working seamlessly across teams to advocate for and implement safety best practices. 

Education and Skills You'll Need 

• Bachelor’s or Master’s degree in Computer Science, Robotics, Systems Engineering, or a related field. 

• Safety Expertise: Experience conducting safety analyses, such as Failure Mode and Effects Analysis (FMEA), Fault Tree Analysis (FTA), or similar techniques. 

• Standards Knowledge: Proficiency with safety standards like ISO 26262 Part 6, especially ISO 21448, or equivalent frameworks. 

• Software Expertise: Understanding of software architecture for autonomous systems, including experience with safety-critical software design. 

• Risk Mitigation: Proven ability to identify hazards and implement effective risk mitigation strategies. 

 

Nice to Have Education and Skills 

• Ph.D. in a related field or equivalent experience. 

• Familiarity with safe machine learning frameworks and tools. 

• Experience working with robotics or autonomous vehicle systems. 

• Knowledge of pipeline failure mode analysis or similar methodologies. 

• Hands-on experience with safety case development tools and processes. 

 

Why Join Us? 

At Torc, safety isn’t just a priority—it’s our foundation. Be part of a team that’s shaping the future of autonomy with robust safety practices, innovative approaches, and a commitment to excellence. If you’re passionate about ensuring autonomous systems are as safe as they are groundbreaking, we want to hear from you.