Senior System Safety Engineer (Digital Engineering)

About the role

At Edge Case, we enable the safe deployment of frontier technologies and autonomous systems. Our mission is to bring innovation safely into society through the development of standards and products that meet rigorous safety requirements.

Key Responsibilities

• Utilize AI-Assisted Tools: Support safety assessments (FHA, FTA, STPA, HARA) and streamline routine safety analyses using our proprietary AI platform.
• Human-in-the-Loop Validation: Critically review, refine, and audit AI-generated safety outputs to ensure 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.

Pay and Benefits

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
• 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.

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.