
51 - 200 employees
Founded 2013
🤖 Artificial Intelligence
🚗 Transport
🔒 Cybersecurity
💰 $12M Series A on 2021-09
Artificial Intelligence • Transport • Cybersecurity
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.
🔥 23 minutes ago
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51 - 200 employees
Founded 2013
🤖 Artificial Intelligence
🚗 Transport
🔒 Cybersecurity
💰 $12M Series A on 2021-09
Artificial Intelligence • Transport • Cybersecurity
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.
• 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.
• 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).
• Medical • Dental • Vision • Life Insurance • Short-Term Disability • Long-Term Disability • 401(k) match • Flexible Spending Accounts • Parental Leave • Paid time off • Holidays
Apply Now🔥 37 minutes ago
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🇺🇸 United States – Remote
💰 Post-IPO Debt on 2023-02
⏰ Full Time
🟡 Mid-level
🟠 Senior
🖥 Software Engineer