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Functional Safety Architect

Summary

Architect functional safety for a Physical AI SoC, defining safety goals, mechanisms, and fault-handling strategies across silicon and embedded platforms.

You own the functional safety architecture for a Physical AI SoC, defining safety goals, mechanisms, and fault-handling strategies across silicon. You lead safety analyses, derive quantitative safety metrics, embed requirements into RTL, firmware, boot flows, and SDKs, and manage safety cases, certification, audits, and cross-disciplinary safety processes.

Responsibilities

  • Own the SoC functional safety architecture
  • Define safety goals, safety mechanisms, and hardware/software fault handling
  • Lead hazard analysis, risk assessment, DFMEA, FMEDA, FTA, and dependent-failure analysis
  • Derive quantitative safety metrics and diagnostic-coverage targets
  • Define safety mechanisms for compute, AI/NPU, memory, and interconnect
  • Embed safety requirements into RTL, boot flows, and SDKs
  • Own safety cases and work products across the safety lifecycle
  • Coordinate with assessors and customers on certification and audits
  • Establish functional safety processes, standards, and design practices
  • Manage interfaces between functional safety, cybersecurity, reliability, and SOTIF

Requirements

  • 10+ years in functional safety or safety-critical hardware engineering
  • Significant experience taking silicon or embedded platforms through a full safety lifecycle
  • Deep expertise with ISO 26262 up to ASIL D and IEC 61508 up to SIL 3
  • Hands-on experience leading HARA, FMEA, FMEDA, FTA, and DFA analyses
  • Experience computing SPFM, LFM, and PMHF hardware architectural metrics
  • Strong command of ECC, lockstep, BIST, redundancy, and safe-state design
  • Experience with RTL, silicon design, firmware, and low-level platform software
  • Ability to build and defend a safety case and drive safety requirements across multidisciplinary teams
  • Bachelor’s or advanced degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience
  • Excellent written and verbal communication skills
  • Experience with functional safety for AI/ML accelerators or NPUs
  • Familiarity with SOTIF and safety-critical domains
  • Experience interfacing with certification bodies or assessors

Benefits

  • Performance-based incentives
  • Equity participation
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities

See also

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