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Velaura

Designs energy-efficient AI silicon and systems

Functional Safety Architect

Hardware EngineeringUpdated on Nov 14
Full-timeBengaluru, Karnataka, IndiaIn-person

About the Job

Requirements

  • At least 10 years of experience in functional safety or safety-critical hardware engineering, including significant experience taking silicon or embedded platforms through a full safety lifecycle.
  • Deep expertise in ISO 26262, including part 11 for semiconductors, up to ASIL D, and IEC 61508 up to SIL 3, including application to SoC development and the standards' architectural constraints, hardware metrics, and systematic-capability requirements.
  • Hands-on experience leading hazard analysis and risk assessment, FMEA/FMEDA, FTA, and dependent-failure analysis, and computing hardware architectural metrics including SPFM, LFM, and PMHF.
  • Strong command of hardware safety mechanisms including ECC, lockstep, BIST, redundancy, and safe-state design, and of the interface between RTL/silicon design, firmware, and low-level platform software.
  • Proven ability to build and defend a safety case and drive safety requirements across multidisciplinary teams from architecture through production.
  • A bachelor's or advanced degree in Electrical Engineering, Computer Engineering, or Computer Science, or equivalent practical experience.
  • Experience with functional safety standards and quantitative measures including SPFM, LFM, PMHF, SFF, diagnostic coverage, HFT, and PFH/PFD, as appropriate to ISO 26262 ASIL and IEC 61508 SIL requirements.
  • Strong written and verbal communication skills and a track record of influencing technical direction and mentoring engineers.

Responsibilities

  • Own the SoC functional safety architecture by defining safety goals, safety mechanisms, and the hardware/software fault-handling strategy across the Physical AI silicon roadmap.
  • Lead safety analyses including hazard analysis and risk assessment, DFMEA, FMEDA, FTA, and dependent-failure/common-cause analysis; derive quantitative safety metrics required by the target standard, including diagnostic-coverage targets for the SoC and its subsystems.
  • Define safety mechanisms for compute, AI/NPU, memory, and interconnect, including error detection and correction, lockstep, BIST, and safe-state handling, and specify assumptions of use for the safety element out of context (SEooC).
  • Partner with silicon design, firmware, safety, and platform software teams to embed safety requirements into the RTL, boot flow, and SDK, and review implementations against the safety concept.
  • Own the safety case and work products across the safety lifecycle, coordinating with assessors and customers to support certification and audits.
  • Establish functional safety processes, standards, and design practices; mentor engineers and raise safety-engineering standards across the organization.
  • Manage interfaces between functional safety and adjacent disciplines, including cybersecurity, reliability, and SOTIF, to address safety concerns holistically.

Desired Qualifications

  • Experience with functional safety for AI/ML accelerators or NPUs, and with SOTIF (ISO 21448) for autonomous and perception systems.
  • Familiarity with robotics, automotive, industrial, or other safety-critical domains, and with adjacent standards such as ISO/SAE 21434 or IEC 61508 derivatives.
  • A recognized Functional Safety Engineer certification and experience interfacing directly with certification bodies or assessors.
  • Prior experience at an early-stage or high-growth semiconductor or hardware company, building safety functions and processes from the ground up.
  • A master's or Ph.D. in Electrical Engineering, Computer Engineering, or Computer Science, or equivalent practical experience.

About the Company

Velaura

Designs energy-efficient AI silicon and systems

Velaura AI designs and manufactures ultra-energy-efficient AI infrastructure, including 3nm ASIC chips, Teraflux mining systems, FluxVision fleet-management software, and AuraLinks rack-level networking. Customers deploy the hardware in data centers, while FluxVision monitors and manages fleets; EnergyTune and AutoTune dynamically adjust power to meet grid stability, and AuraLinks reduces bottlenecks in AI training and inference. The company differentiates itself with a team of silicon architects from Apple, Google, and Qualcomm, plus a patent-pending energy-management approach and a fully integrated hardware-software stack. Its goal is to enable massive AI deployment by delivering powerful, energy-efficient compute and networking that aligns with sustainable energy grids and domestically produced technology.

Company size
51-200
Company stage
Series A
Total funding
$424M
Headquarters
Santa Clara, CA
Founded
2022

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