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Variant Configuration Jobs in New York (NOW HIRING)

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Variant Configuration information

What is variant configuration?

Variant configuration is a process used in industries like manufacturing to manage products that have multiple variations or customizable features. It allows companies to efficiently create, sell, and produce products tailored to individual customer requirements by configuring options and combinations in real-time. This is commonly implemented in ERP systems like SAP, where variant configuration enables flexible product design without the need to create a unique product code for every possible variation. It helps streamline production, reduce errors, and improve customer satisfaction by offering tailored solutions.

What are the key skills and qualifications needed to thrive as a variant configuration specialist?

To thrive as a Variant Configuration Specialist, you need a solid understanding of product configuration management, business process analysis, and experience with ERP systems like SAP, often supported by a degree in engineering, computer science, or related fields. Expertise in SAP Variant Configuration (SAP VC), knowledge of BOM (Bill of Materials) structures, and familiarity with product lifecycle management tools are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help specialists collaborate with cross-functional teams and address complex configuration scenarios. These skills ensure accurate customization of products, efficient operations, and alignment with customer requirements in dynamic manufacturing environments.

How does a variant configuration specialist typically collaborate with engineering and sales teams to ensure accurate product customization?

A Variant Configuration specialist works closely with engineering teams to understand product features and technical constraints, ensuring that configuration models accurately represent real-world options. They also collaborate with sales teams to translate customer requirements into feasible product variants, helping prevent configuration errors and streamline the order process. Regular communication and joint problem-solving are essential, as specialists often lead workshops or training sessions to keep both teams updated on changes and best practices.

What is the difference between Variant Configuration vs Product Data Management Specialist?

AspectVariant ConfigurationProduct Data Management Specialist
Required CredentialsTechnical certifications, engineering or manufacturing backgroundData management certifications, IT or engineering background
Work EnvironmentManufacturing, engineering, or product developmentIT departments, engineering teams, product lifecycle management
Employer & Industry UsageManufacturers, automotive, aerospace, electronicsManufacturers, tech companies, engineering firms
Search & Comparison IntentUnderstanding configuration options, engineering processesManaging product data, documentation, and workflows

Variant Configuration focuses on defining and managing product options and configurations within engineering and manufacturing processes. In contrast, Product Data Management Specialists handle organizing, maintaining, and controlling product data across systems. While both roles support product development, Variant Configuration is more technical and engineering-oriented, whereas Product Data Management is centered on data organization and workflow management.

What are popular job titles related to Variant Configuration jobs in New York?

For Variant Configuration jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Variant Configuration jobs?

Cities in New York with the most Variant Configuration job openings:

Infographic showing various Variant Configuration job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution.

Principal Process Architect, Automotive Software

Nvidia

New York, NY • On-site, Remote

Full-time

Posted 18 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

NVIDIA is harnessing the power of AI and high-performance computing to build the future of mobility. DriveOS is the software platform behind autonomous vehicles and other intelligent machines, combining system software, virtualization, and accelerated computing capabilities for demanding, safety-critical applications. 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.

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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US