Principal Process Architect, Automotive Software

NVIDIA; New York (NY); On-site; USD 272,000 - 431,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

NVIDIA in New York seeks a Senior DriveOS Process Architect to lead canonical process architecture, tailoring, and governance across engineering, program management, quality, safety, and cybersecurity.

You will translate lifecycle expectations into actionable workflows and mentoring, drive quality gates, and leverage data and AI-assisted tools to improve reliability while maintaining traceability. Equity and benefits are offered.

Qualifications

• Bachelor’s degree or equivalent in engineering, computer science, systems engineering, quality, or related field.
• 15+ years of experience in automotive or safety-critical product development, including process architecture or technical leadership.
• Deep understanding of Automotive SPICE and how practices translate into evidence.
• Strong understanding of the software and systems development lifecycle.
• Hands-on experience with automotive functional safety, cybersecurity, and AI/ML safety requirements (ISO 26262, ISO/SAE 21434, ISO 8800).
• Proven track record building risk-based tailoring and quality gates in multi-variant environments.
• Excellent written communication, facilitation, and influence for senior leaders.
• Experience using data, workflow tooling, and AI-assisted capabilities to improve processes while maintaining accountability.

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 with variant applicability, decision rights, acceptance criteria, and traceable approvals.
• Establish process maturity, release-readiness, and quality-gate criteria to surface risk early and support first-pass acceptance.
• Translate lifecycle expectations and standards into workflows, templates, guidance, and mentoring for development teams.
• Partner with domain leads, program managers, assessors, and tool owners to align plans and handoffs across variants.
• Convert recurring defects and release takeaways into durable improvements to process, measurements, and training.
• Drive process automation and AI-assisted workflows to reduce risk, rework, or cycle time while preserving governance and traceability.
• Serve as an independent technical authority for process coherence, raising gaps with impact, owner, recovery plan, and date.

Skills

Process architecture

Quality governance

Cybersecurity awareness

Stakeholder influence

Education

Bachelor’s degree or equivalent in engineering, computer science, systems engineering, quality, or related field

Job description

What You’ll Be Doing

• 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.

What We Need To See

• 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.

Ways To Stand Out From The Crowd

• Proven success implementing or modernizing an automotive quality-management system or development process across multiple teams or product variants.
• Experience with hardware engineering process models, including HW SPICE, or with the interaction of system, software, and hardware engineering in autonomous-driving programs.
• Participation in relevant standards bodies or working groups, such as intacs, VDA QMC, ISO TC22/SC32, or comparable industry forums.
• Experience building process tooling, traceability models, measurements, or controlled AI‑assisted workflows for safety‑or security‑critical development.
• Credentials or demonstrated proficiency in Automotive SPICE, functional safety, cybersecurity, or AI/ML safety.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 22, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

, , JR2023383