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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI safety methodologies and tools, including safety requirement decomposition and system safety analysis, while effectively collaborating with cross-functional teams to ensure compliance with safety standards and certification processes.
Highest-signal resume keywords
AI Safety MethodsSafety Standards ComplianceSafety Requirement DecompositionSystems Engineering MethodologiesAutonomous Systems Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Artificial IntelligenceSafety Analysis ReportsSafety Case DocumentationFMEAFTAHARAV-Model ApplicationRequirements ManagementVerification and ValidationArchitectural Decomposition
Soft Skills
Strong Written CommunicationStrong Verbal Communication
Tools & Technologies
Embedded PlatformsAdaptability Testing ToolsUncertainty Evaluation ToolsOut of Distribution Detection Tools
Certifications & Qualifications
ISO PAS 8800ISO/IEC TR 5469ISO 21448ISO 26262IEC 61508
Industry Keywords
Automotive Functional SafetySafety of Intended FunctionalitySafety-Critical ApplicationsNVIDIA Product Life CycleInternational Standardization Activities
Tech Stack
Tools & technologiesSDLC
About the role
Key responsibilities & impact- Ensure the safety of AI-based autonomous system software
- Collaborate with engineers across the DRIVE platform and related research units on automotive functional safety and safety of the intended functionality
- Collaborate with robotics, humanoids, industry safety, and other safety-critical application teams
- Guide teams in specifying, building, implementing, and verifying safety requirements across the software stack, from drivers and acceleration libraries to AI-based technologies and end-to-end models
- Help implement NVIDIA’s Product Life Cycle and integrate AI safety process principles
- Engage with customers and participate in international standardization activities related to AI safety
- Support system safety activities, including safety requirement decomposition, FTA, DFA, CCF, FMEA, and architectural safety analysis across hardware and software boundaries
- Collaborate with external certification bodies, assessors, and regulators
- Present, defend, and justify safety arguments and evidence for safety certification reviews
Requirements
What you’ll need- BS, MS, or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or related technical field, or equivalent experience
- 12+ years of experience in Artificial Intelligence and SW safety related processes, methodologies, tools
- Experience in AI safety methods and tools, including adaptability testing, uncertainty evaluation, and out of distribution detection
- Familiarity with system software development and embedded platforms
- Strong written and verbal communication skills
- Experience reviewing existing processes and identifying gaps for improvement
- Experience producing safety plans, safety analysis reports, safety case documentation, and evidence packets for certification and audit activities
- Strong background in safety standards such as ISO PAS 8800, ISO/IEC TR 5469, ISO 21448, ISO 26262, and IEC 61508
- Background in system safety methodologies and practices including HARA, FMEA, FTA, and STPA
- Hands-on experience with systems engineering methodologies, requirements management, peer review, configuration management, risk management, verification and traceability, validation and verification, and architectural decomposition
- Hands-on experience in autonomous systems
- Experience applying the V-Model to sophisticated AI-based engineering projects, ideally across all stages of the software development life cycle
Benefits
Comp & perks- Equity
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