Principal System – AI Safety Engineer

🕒 Yesterday

☕ Washington – Remote

☕ Washington – Remote

💵 $200k - $215k / year

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

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Edge Case Research

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

💼 Consulting

🛡️ Insurance

🚘 Automotive

💰 $12M Series A on 2021-09

Consulting • Insurance • Automotive

Edge Case Research is a trusted risk-management partner for companies developing autonomous vehicles, including self-driving trucks and robotaxis. The company focuses on ensuring the safety of autonomous systems by helping developers measure, manage, and communicate the risks associated with software driving in real-world scenarios. Edge Case provides a software platform called nLoop that facilitates building, monitoring, and managing live safety cases to align teams around safety protocols throughout the development lifecycle.

📋 Description

• Lead system safety work for autonomous and complex systems • Help customers reason through novel hazards, operational uncertainty, and software- and AI-driven behavior • Use Guardian AI to accelerate and strengthen PHA, FHA, SHA, FTA, FMECA, STPA, and HARA analyses • Determine where AI improves engineering performance and where expert judgment must remain decisive • Evaluate AI-generated outputs for rigor, traceability, completeness, and alignment with applicable standards • Establish validation practices for safety-critical environments • Identify recurring customer problems and prototype better workflows • Partner with the software team to transform expert insights into Guardian AI capabilities • Advise customers on CONOPS, ODDs, hazard controls, safety requirements, levels of rigor, mitigations, and verification strategies • Help develop connected, maintainable digital safety cases and decision-ready safety evidence • Develop technical viewpoints and contribute to publications, standards, conferences, and senior industry conversations where appropriate • Mentor engineers, challenge assumptions, share emerging research, and strengthen a culture of rigor and experimentation • Move between detailed analysis, system architecture, customer strategy, and product design • Help define AI-assisted safety engineering and influence the product, company, and broader field

🎯 Requirements

• 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 • 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 • PhD preferred in system safety, systems engineering, robotics, controls, computer science, AI/ML, human factors, or a related field • 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

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Life insurance • Short-Term Disability • Long-Term Disability • 401(k) match • Flexible Spending Accounts • Parental Leave • Paid time off • Holidays • Opportunities for professional growth and development • Remote-first team

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