Note: The job is a remote job and is open to candidates in USA. Edge Case enables the safe deployment of frontier technologies and sophisticated autonomous and AI-enabled systems. The Principal System & AI Safety Engineer will lead system safety work for complex systems, apply AI-assisted safety methods, evaluate AI-generated outputs, advise customers on safety architectures and requirements, and help transform recurring engineering problems into scalable Guardian AI product capabilities.
Responsibilities
- Lead system safety work for autonomous and complex systems. Help customers reason through novel hazards, operational uncertainty, and increasingly software- and AI-driven behavior
- Use Guardian AI to accelerate and strengthen analyses such as PHA, FHA, SHA, FTA, FMECA, STPA, and HARA
- Determine where AI improves engineering performance and where expert judgment must remain decisive
- Critically evaluate AI-generated outputs for rigor, traceability, completeness, and alignment with applicable standards
- Establish validation practices customers can trust in safety-critical environments
- Recognize recurring customer problems, prototype better workflows, and partner with our software team to transform those insights into Guardian AI capabilities
- Advise customers on CONOPS, ODDs, hazard controls, system and subsystem safety requirements, levels of rigor, mitigations, and verification strategies
- Help organizations move from static documents to connected, maintainable digital safety cases and decision-ready safety evidence
- Develop technical viewpoints and, where appropriate, contribute to publications, standards, conferences, and senior industry conversations
- Mentor engineers, challenge assumptions, share emerging research, and strengthen a culture of rigor, experimentation, and high ownership
Skills
- A strong record of accomplishment in system safety through high-consequence programs, influential research
- Technical leadership, or a combination of these
- Expertise in methods such as PHA, FHA, SHA, FTA, FMECA, STPA, HARA, or related approaches
- Experience with frameworks such as MIL-STD-882E, JSSSEH, ISO 26262, ISO 21448/SOTIF, ARP4761, or
- DO-178C
- Experience developing safety requirements, plans, cases, assessment reports, or comparable assurance
- Artifacts
- Ability to move between detailed analysis, system architecture, customer strategy, and Product design
- Strong written and verbal communication skills
- A builder's mindset: initiative, curiosity, comfort with ambiguity, and a desire to create repeatable solutions
- Enthusiasm for AI and automation, paired with sound judgment about their limitations
- U.S. work authorization. Employment sponsorship is not available
- Exceptional equivalent experience is welcomed
- Recognized contributions through research, publications, patents, standards, conference presentations, or industry leadership
- Experience with autonomous systems, ML safety, AI assurance, behavioral safety, or adaptive systems
- Startup, product, advanced research, or zero-to-one development experience
- Familiarity with digital engineering, MBSE, Cameo, or digital safety cases
- Experience working directly with software product and engineering teams
- CSP, CFSE, CFSP, or a related certification
- PhD preferred in system safety, systems engineering, robotics, controls, computer science, AI/ML, human factors, or a related field
Benefits
- Medical
- Dental
- Vision
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- 401(k) match
- Flexible Spending Accounts
- Parental Leave
- Paid time off
- Holidays
- Washington state full-time employees accrue at least 13 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons
- Washington state full-time employees receive at least 96 hours for holidays
- Opportunities for professional growth and development
- Remote-first team
Company Overview