Pittsburgh, Pennsylvania
Posted: 06-Jul-26
Location: Pittsburgh, Pennsylvania
Type: Full Time
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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.
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.
