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Principal Process Architect, Automotive Software

NVIDIA· Engineer, Sys SW
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Hybrid (Remote / Local)$272k - $431.3kFull-timePosted 2mo ago

About the role

Senior Process Architect to define and govern the system-of-work for NVIDIA DriveOS, aligning quality, safety, cybersecurity, and AI/ML safety expectations into a scalable, evidence-driven development model for automotive software and systems.

Responsibilities

  • Lead the canonical DriveOS process architecture, terminology, roles and interfaces across engineering, program management, quality, functional safety, and cybersecurity.
  • Develop and govern a risk-based tailoring framework that defines variant applicability, decision rights, acceptance criteria, and traceable approvals before execution begins.
  • Establish process maturity, release-readiness, and quality-gate criteria that surface risk early and support predictable, first-pass acceptance.
  • Translate internal lifecycle expectations and applicable industry standards into clear, verifiable workflows, templates, guidance, and mentorship for development teams.
  • Partner with domain leads, program managers, assessors, and tool owners to align plans, evidence, dependencies, and handoffs across product variants.
  • Convert recurring defects, assessment observations, and release takeaways into durable improvements to the common process, measurements, and training.
  • Drive process automation and AI-assisted workflows where they demonstrably reduce risk, rework, or cycle time while preserving governance, traceability, and engineering judgment.
  • Serve as an independent technical authority for process coherence and efficiency, raising gaps with a clear statement of product impact, accountable owner, recovery plan, and date.

Qualifications

  • Bachelor’s degree or equivalent experience in engineering, computer science, systems engineering, quality, or a related field.
  • 15+ years of experience in automotive or other safety-critical product development, including process architecture, engineering quality, systems engineering, or technical program leadership.
  • Deep understanding of Automotive SPICE, including how process capability, base practices, and generic practices translate into effective engineering behavior and assessable evidence.
  • Strong understanding of the software and systems development lifecycle, including requirements, architecture, implementation, verification, validation, configuration, change, and release management.
  • Hands-on experience with automotive functional safety, cybersecurity, and AI/ML safety requirements, including ISO 26262, ISO/SAE 21434, and ISO 8800.
  • Proven track record to build risk-based tailoring, establish quality gates, and balance compliance needs with program realities in a complex, multi-variant product environment.
  • Excellent written communication, facilitation, and influence skills; able to make process requirements actionable for engineers and decision-ready for senior leaders.
  • Experience using data, workflow tooling, and AI-assisted capabilities to improve engineering processes without weakening accountability or traceability.

Skills

Required:Automotive SPICESoftware/Systems Development LifecycleFunctional Safety / Cybersecurity / AI SafetyRisk-based Tailoring & Quality GatesStakeholder Influence / Communication
Nice to have:Process Automation / AI-assisted Workflows

Benefits

  • See company benefits page (equity and comprehensive benefits)
Last updated Aug 21, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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