Staff PLM & Engineering Applications Engineer, Consumer Devices
OpenAI is hiring a Staff PLM & Engineering Applications Engineer, Consumer Devices in San Francisco, United States. It pays $257k-$285k a year and Level rates it ; you can apply on OpenAI.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions Nx, Teamcenter and AI research among its tools and skills.
- Level classes it as a senior role.
- OpenAI has 809 other open roles on Level.
AI in this role
Build and maintain engineering applications, virtual environments, and product-data systems for hardware teams bringing AI devices to life.
About the Team
The Consumer Devices team at OpenAI builds end-to-end hardware and software systems that bring AI into the physical world. We work at the intersection of custom silicon, embedded systems, operating systems, cloud services, mechanical engineering, electrical engineering, and product design to deliver reliable, production-ready devices at scale.
Within Consumer Devices, Hardware Engineering eXperience, or HEX, is a new bootstrapped team building the environments, applications, compute, product-data systems, and workflows that let hardware engineers do their work without needing to troubleshoot the machinery underneath.
HEX owns virtual engineering environments, HPC/GPU compute, storage, networking, licensing, MCAD/ECAD/CAE applications, PLM, product data, automation, validation, and support as one connected system.
About the Role
As a Staff PLM & Engineering Applications Engineer, you will be one of the first technical builders of HEX and the primary counterpart to the HEX lead.
You will own the engineering-application and product-data side of the hardware engineering experience, with an initial focus on NX, Teamcenter, licensing, parts import, integrations, packaging, validation, and user workflows.
This is not a traditional Teamcenter administration role and not a Corporate IT application-support role. You will take complex, fragile workflows and turn them into reliable engineering systems.
This role is highly hands-on and systems-oriented. You will not inherit a mature environment and support queue. You will help build a fresh one, replacing manual setup guides, tribal knowledge, repeated support issues, and team handoffs with tested automation and reliable workflows.
In This Role, You Will
Own the technical architecture, deployment, configuration, integration, validation, and long-term operation of NX and Teamcenter.
Build reliable workflows for parts import, product-data migration, metadata quality, BOMs, revisions, lifecycle states, and release processes.
Replace manual setup documentation with automated installation, configuration, validation, diagnostics, and recovery workflows.
Build tooling around NX, Teamcenter, MCAD, ECAD, CAE, plugins, licenses, and engineering environments.
Define and validate the golden path for hardware engineers: access, open, design, save, retrieve, release, simulate, and get help.
Partner with mechanical engineering, electrical engineering, simulation, manufacturing, systems, and product-design teams to understand where workflows break.
Work with Compute & Infrastructure-focused HEX Engineers so applications, product data, storage, VDI, HPC, and licenses feel like one coherent system.
Partner with contractors and vendors while keeping architecture, requirements, validation, acceptance, and long-term ownership inside HEX.
Build health checks, regression tests, observability, diagnostics, and support tooling that make failures easy to detect and recover from.
Help establish the technical standards, operating model, and engineering culture for the growing HEX organization.
You Might Thrive in This Role If You
Have deep hands-on experience with Teamcenter, NX, PLM systems, and CAD workflows in a hardware product-development environment.
Have owned PLM architecture, data models, integrations, migrations, parts imports, release workflows, and engineering application platforms.
Can write automation in Python, PowerShell, Bash, and similar tools.
Have experience with packaging, deployment, licensing, validation, and application integrations.
Understand parts, revisions, BOMs, configurations, lifecycle states, and change workflows.
Can debug across applications, infrastructure, licenses, VDI, networking, storage, compute, and product data.
Prefer building durable tooling and automation instead of managing ticket queues.
See a four-page setup guide and immediately want to replace it with a tested installer.
Are comfortable in a new bootstrapped team where the environment, standards, workflows, and operating model are still being built.
Can work directly with engineers, understand their pain, and turn repeated problems into reliable systems.
Minimum Qualifications
Experience with Teamcenter Active Workspace, BMIDE, ITK, SOA/REST, and Teamcenter customization.
Experience with NX Open, managed mode, customer defaults, templates, licensing, packaging, and upgrades.
Preferred Qualifications
Experience with PLM migrations, legacy part imports, data cleanup, ERP integrations, and ECAD integrations.
Experience with MCAD, ECAD, CAE/FEA, HPC, VDI/AVD, GPU workstations, and engineering storage.
Experience building internal platforms, developer tooling, infrastructure automation, and self-service systems.
Experience in complex hardware-development environments, including consumer devices, robotics, automotive, aerospace, or embedded systems.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
How we rate this
Staff PLM & Engineering Applications Engineer, Consumer Devices at OpenAI rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a research question you investigated. What did you find?
- Tell me about a project where plm was part of your work. What did you do?
- Tell me about a project where hpc was part of your work. What did you do?
- Tell me about a project where gpu was part of your work. What did you do?
- Tell me about a project where cad was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Research, Plm, Hpc, GPU, and CAD. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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