About Edge Case
At Edge Case, our mission is to enable the safe deployment of frontier technologies and autonomous systems.
We enable our customers to assure the safety of autonomous and complex systems for real world deployment. Our client base spans diverse markets such as automotive, oil and gas, defense, and aerospace. Edge Case is founded by the recognized world leaders in autonomous system safety and autonomous vehicle safety. Our experts are writing the standards and developing the products that will bring innovation safely into society.
The Role: Why This is Different
At Edge Case, you will leverage our proprietary platform to simplify routine analyses, accelerate hazard identification, and enhance your overall engineering workflows.
Your primary role is to provide vital human expertise, using our proprietary AI safety intelligence platform to streamline routine tasks, allowing you to focus on high-level safety architecture while helping our product team refine the platform for global commercialization.
Key Responsibilities
- Utilize AI-Assisted Tools: Use our proprietary AI platform to support safety assessments (FHA, FTA, STPA, HARA) and streamline routine safety analyses.
- Human-in-the-Loop Validation: Critically review, refine, and audit AI-generated safety outputs to ensure absolute technical accuracy and compliance with military and commercial standards.
- Product Feedback Loop: Partner directly with our software product team to provide real-world user feedback, helping shape the features, UI, and capabilities of our platform.
- Customer Strategy: Guide premier clients in Defense, Auto, and Energy to define their Concept of Operations (CONOPS) and Operational Design Domains (ODD).
- Derive Safety Requirements: Define system/subsystem safety requirements, hardware/software Level of Rigor (LoR), and track mitigations from design through verification.
- Deliver Modern Safety Cases: Generate advanced Safety Assessment Reports (SAR) and Digital Safety Cases, moving customers toward dynamic digital engineering environments.
Qualifications
Required Qualifications
- US Work Authorization: Precondition of employment (Sponsorship is not available).
- Experience: 4 to 10 years of dedicated system safety engineering experience.
- Education: Bachelor’s degree in Engineering, Computer Science, or a related technical field.
- Standard Fluency: Proven experience implementing compliance frameworks such as MIL-STD 882E, JSSSEH, ISO 26262, ISO 21448 (SOTIF), ARP-4761, or DO-178.
- Core Analysis Toolkit: Mastery of traditional techniques (PHA, FHA, SHA, FTA, FMECA) and modern methodologies like STPA (Systems-Theoretic Process Analysis).
- Documentation Mastery: Experience generating formal Safety Program Plans (SSPP), Safety Cases, and Safety Assessment Reports (SAR).
Preferred Qualifications
- Automation Mindset: Demonstrated enthusiasm for utilizing software tools, advanced automation, or AI features to optimize engineering workflows and reduce repetitive manual effort.
- Advanced Degree: Master’s degree or higher in Safety Engineering, Robotics, AI/ML, or Systems Engineering.
- Domain Context: Experience working with autonomous systems, machine learning safety, or behavioral safety systems.
- Modern Tooling: Familiarity with Digital Engineering, Model-Based Systems Engineering (MBSE) tools like Cameo, and Agile methodologies.
- Certifications: Certified Safety Professional (CSP), Certified Functional Safety Expert (CFSE), or Certified Functional Safety Professional (CFSP) certificate.
Why Edge Case?
- Mission Focus: You won’t just fix one product, learn one technology, or contribute to just one safety team. You’re helping our entire customer base, which comprises most of the self-driving industry, developers of next generation defense systems, and many more industries. Your skills and hard work make a profound difference here.
- Modern Workflows: Work at the forefront of engineering by replacing legacy manual data entry with modern, software-driven, and AI-assisted workflows.
- Collaborative Culture: Join a remote-first, dynamic team that bridges the gap between deep compliance and tech innovation.
Pay Rate:
The annual base salary range for this position is $145,000.00 - $175,000.00. Please note that the salary information is a general guideline only. Edge Case considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/ training, key skills as well as market and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, Parental Leave, Paid time off, and Holidays.
Washington state applicants only: Full-time employees accrue at least 13 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; and receive at least 96 hours for holidays.
Edge Case Research is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. ECR values all employees’ talents and supports an environment that is inclusive and respectful.
Skills Required
- US work authorization required; sponsorship not available.
- 4 to 10 years of dedicated system safety engineering experience.
- Bachelor's degree in Engineering, Computer Science, or related technical field.
- Proven experience implementing compliance frameworks (MIL-STD-882E, JSSSEH, ISO 26262, ISO 21448 (SOTIF), ARP-4761, DO-178).
- Mastery of safety analysis techniques (PHA, FHA, SHA, FTA, FMECA) and modern methodologies like STPA.
- Experience generating Safety Program Plans (SSPP), Safety Cases, and Safety Assessment Reports (SAR).
- Enthusiasm for utilizing software tools, automation, or AI to optimize engineering workflows.
- Master's degree or higher in Safety Engineering, Robotics, AI/ML, or Systems Engineering.
- Experience with autonomous systems, machine learning safety, or behavioral safety systems.
- Familiarity with Digital Engineering, Model-Based Systems Engineering (MBSE) tools such as Cameo, and Agile methodologies.
- Certifications such as CSP, CFSE, or CFSP.
What We Do
Edge Case is the trusted risk-management partner for companies building self-driving trucks, autonomous robotaxis, and smarter passenger cars. We help developers and operators measure, manage, and insure the risks posed by software driving in the real world. Our mission is to deliver the promise of safe autonomous mobility.
