NVIDIA Corporation

Principal Process Architect, Automotive Software

NVIDIA Corporation$272K — $431K *
Manufacturing & Automotive
11 - 15 years of experience
Job Overview by Ladders

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.
  • Deep understanding of Automotive SPICE and its application in engineering behavior and evidence assessment.
  • Strong understanding of the software and systems development lifecycle.
  • Hands-on experience with automotive functional safety, cybersecurity, and AI/ML safety requirements, including relevant ISO standards.
  • Proven track record of risk-based tailoring and establishing quality gates in complex product environments.
  • Excellent communication and influence skills, able to translate processes for engineers and leaders.

Responsibilities

  • Lead DriveOS process architecture across engineering and program management.
  • Develop a risk-based tailoring framework with clear decision rights and approval processes.
  • Establish maturity and quality gate criteria to surface and manage risk early.
  • Translate lifecycle expectations and industry standards into verifiable workflows and guidance.
  • Collaborate with cross-functional teams to align plans and dependencies across product variants.
  • Convert recurring defects and observations into process, measurement, and training improvements.
  • Drive process automation and AI workflows to enhance efficiency while ensuring governance.

Benefits

  • Eligibility for equity participation.
  • Comprehensive health and wellness benefits.
  • Flexible work schedules and remote work options.
  • Access to continuous learning and career development resources.
  • Employee resource groups and community involvement opportunities.
Full Job Description
We are seeking a Senior Process Architect to make the system of work behind that platform coherent, practical, and scalable. This role combines automotive process engineering with first-principles judgment: enabling teams to deliver evidence that is fit for product risk, not process for its own sake. You will help a globally distributed organization turn quality, safety, cybersecurity, and AI/ML safety expectations into a coordinated, executable development model.

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.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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