Principal Autonomous Systems Safety Engineer
J
JobgetherAutonomous Robotics
Remote work flexibility for candidates based in the United States.Full-TimePrincipal
SalaryCompetitive base salary range of $174,000–$305,000 per year depending on experience, qualifications, location, and skills.
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Job Details
- Experience
- 8+ years
- Required Skills
- Embedded Systems
Requirements
- 8+ years of relevant engineering experience involving risk assessment, safety management, and product or functional safety.
- 3+ years of experience developing safety-critical electronic and embedded systems.
- Proven experience conducting risk assessments and safety reviews for autonomous ground vehicles or similar complex systems.
- Experience with safety methodologies such as HARA, STPA, FMEA, and related risk analysis approaches.
- Demonstrated ability to design and implement validation and verification frameworks for end-to-end robotics applications.
- Strong systems engineering fundamentals and experience working with complex architectures.
- Knowledge of relevant safety standards such as ISO 18497, ISO 26262, ISO/PAS 21448, DO-178, ARP-4754, IEC 62304, or similar frameworks.
- Ability to communicate complex technical concepts clearly through written and verbal communication.
- Experience working in fast-paced startup or innovation environments with multiple competing priorities.
- Bachelor’s degree in Electromechanical Engineering, Electrical Engineering, Electronics Engineering, Computer Engineering, Computer Science, or a related technical field.
Responsibilities
- Define and implement safety frameworks for autonomous systems, including end-to-end robotics solutions and emerging autonomy platforms.
- Derive technical safety requirements and provide clear execution paths for engineering teams using appropriate safety engineering methodologies.
- Architect robust validation and verification (V&V) frameworks to evaluate autonomous system performance and reliability.
- Conduct risk assessments, safety reviews, and hazard analyses to support feature development and system design decisions.
- Apply safety engineering principles to complex autonomous vehicle scenarios and evolving technical challenges.
- Partner with engineering teams across embedded software, systems, machine learning, computer vision, testing, and robotics to drive safety initiatives.
- Collaborate with data infrastructure teams to define tools, metrics, and data strategies for monitoring real-world fleet performance.
- Support the development of scalable safety processes that enable autonomous technology deployment.
- Communicate safety findings, requirements, and recommendations clearly across technical and non-technical stakeholders.
- Contribute to continuous improvement of safety practices within a fast-moving robotics environment.
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