About the Team

OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. We work closely with hardware design teams, manufacturing partners, suppliers, and data center operations to deliver the compute platforms that power frontier AI.

The Manufacturing Engineering team ensures our hardware can be built, tested, deployed, and supported at hyperscale. We bridge Hardware Engineering, Quality, Supply Chain, Contract Manufacturers, and Hardware Operations to continuously improve manufacturing performance throughout the product lifecycle.

As our fleet grows globally, sustaining manufacturing engineering becomes increasingly important to maintain product quality, improve manufacturability, and rapidly resolve production issues.

About the Role

We are seeking a PCBA Manufacturing Engineer (Sustaining) to support production and continuous improvement of printed circuit board assemblies (PCBAs) used throughout Industrial Compute hardware platforms.

This role focuses on sustaining engineering after product launch. You'll partner closely with Hardware Design, Quality, Manufacturing, Test Engineering, Supply Chain, and our contract manufacturers to resolve production issues, improve manufacturing yield, reduce failures, implement engineering changes, and ensure stable high-volume manufacturing.

The ideal candidate has experience supporting complex server, networking, accelerator, storage, or high-performance electronics manufacturing environments.

Key Responsibilities

• Own sustaining manufacturing engineering for PCBA production across multiple hardware platforms.

• Drive root cause investigations for manufacturing defects, field failures, and production escapes.

• Partner with Hardware Design Engineers to improve manufacturability (DFM/DFA/DFT).

• Support engineering change orders (ECOs) and manufacturing change implementation.

• Work directly with contract manufacturers to improve production yield, cycle time, and quality.

• Analyze manufacturing data to identify recurring process issues and improvement opportunities.

• Develop corrective and preventive actions (CAPA) for manufacturing and supplier quality issues.

• Support failure analysis activities including electrical, functional, and process investigations.

• Improve manufacturing documentation, work instructions, assembly processes, and test procedures.

• Collaborate with Test Engineering to improve production test coverage and manufacturing diagnostics.

• Support supplier qualification, process validation, and manufacturing readiness for design revisions.

• Travel to manufacturing partners as needed to support production and issue resolution.

Qualifications

• Bachelor's degree in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, or related field.

• 5+ years supporting high-volume PCBA manufacturing.

• Experience with SMT manufacturing, PCB fabrication, and electronic assembly processes.

• Strong understanding of manufacturing process control, yield improvement, and statistical analysis.

• Experience performing root cause analysis using methodologies such as 8D, 5 Why, Fishbone, or FMEA.

• Experience working with contract manufacturers and global supply chains.

• Ability to interpret schematics, BOMs, assembly drawings, and manufacturing documentation.

• Excellent cross-functional communication and project management skills.

Preferred Skills

• Experience with server, accelerator, networking, storage, or AI hardware platforms.

• Familiarity with ICT, Flying Probe, Boundary Scan, Functional Test, and System-Level Test.

• Experience supporting high-speed PCBAs involving GPUs, CPUs, memory, PCIe, Ethernet, or high-speed interconnects.

• Knowledge of IPC standards (IPC-A-610, IPC-6012, IPC-7711/7721).

• Experience with manufacturing execution systems (MES), PLM systems, and engineering change management.

• Enjoy solving complex manufacturing problems using data and structured root cause analysis.

• Like working directly with manufacturing partners and factory teams.

• Can bridge hardware design and manufacturing execution.

• Have strong troubleshooting skills across electronics, assembly processes, and production testing.

• Enjoy continuous improvement and process optimization.

• Are comfortable balancing technical depth with fast operational execution.

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 .

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.

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We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this .

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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.

OUR MISSION

We exist to create a more connected, compassionate, and confident experience for people with cancer and those who care for them. We make it easier to get answers, access high-quality care quickly, and feel supported throughout treatment and beyond.

Today, Thyme Care is a market-leading value-based oncology care enabler, partnering with national and regional health plans, providers, and employers to deliver better outcomes and lower costs for thousands of people across the country. Our model combines high-touch human support with powerful technology and AI to bring together everyone involved in a person’s cancer journey: caregivers, oncologists, health plans, and employers.

As a tech-native organization, we believe technology should strengthen the human connection at the center of care. Through data science, automation, and AI, we simplify complexity, improve collaboration, and help care teams focus on what matters most: supporting people through cancer.

Looking ahead, our vision is bold: to become a household name in cancer care, where every person diagnosed asks for Thyme Care by name. If you’re inspired to make cancer care more human and to help reimagine what’s possible, we’d love to meet you. Together, we can build a future where every person with cancer feels truly cared for, in every moment that matters.

WHAT YOU’LL DO

As a Senior Data Scientist, you will join our Data team to help us build and maintain strong analytic capabilities supporting Thyme Care’s mission. In this position, you will collaborate closely with our Product Manager and our Growth and Operations teams to understand, ingest, and accurately model healthcare data for new and existing customers, supporting updates and fixes throughout the life of the relationship. You’ll develop novel attributes and flags from our existing data to drive action on our Care Team, and build visualizations to report on their impact.

In the course of your work you should also expect to:

• Gain a deep understanding of our data platform and contribute to improving our data models and pipelines using SQL and dbt

• Collaborate with other data scientists, data engineers, and analysts to build scalable and sustainable data models and pipelines

• Transform incoming eligibility, claims, prior auth, and ADT data to fit into our standard data models, identifying data quality issue or proposed standard data model enhancements as needed

• Translate business requirements into technical plans so you can design data models, pipelines, and analytics before you begin building them

• Build relationships with data teams at risk-bearing entities (insurers, ACOs, PCPs, etc.) and demonstrate Thyme Care’s expertise in building data & analytics products

• Ensure that internal customers have fast, accurate, and reliable access to data, supporting their decision-making and operations with high-quality data pipelines

WHAT YOU HAVE

• Expertise in working with large healthcare datasets (eligibility, medical / pharmacy claims, prior auth, ADT, etc.), ideally in a healthcare-focused technology startup with mature data structures and pipelines

• Experience designing data models to support both operations and analytics and building the data transformations in SQL to bring them to life

• An ability to “see beyond the question” to develop scalable solutions that are easily learned and reused by internal customers

• Experience with, or willingness to quickly learn, dbt and Looker

WHAT LEADS TO SUCCESS

Act with our members in mind. Thyme Care’s mission, and in particular our member experience, matters deeply to you.

Move with purpose. You’re biased to action. You know how to identify and prioritize your initiative’s needs, and do what it takes to ensure that urgent and important needs are acted on immediately.

Seek diverse perspectives. You are humble and actively seek feedback from others, eager to learn and share knowledge.

Experience. You have worked with large datasets, ideally in a healthcare-focused technology startup with mature data structures and pipelines as an Analytics Engineer, Data Scientist, or Data Engineer.

Technical ability. Proficiency in data modeling, transformation, and claims analytics is crucial. Familiarity with dbt is preferred, but we are open to candidates willing to learn it quickly. A working knowledge of Python and experience with Looker or similar BI tools for data analysis and visualization is a plus.

Clear communication. You can effectively convey your thoughts and ideas to both technical and non-technical colleagues and stakeholders.

Comfort with ambiguity. You have a successful track record working at scaling organizations, in fast-paced environments, and at ambitious startups. You navigate through challenges and find solutions in uncertain situations.

OUR VALUES

At Thyme Care, our core values guide us in everything we do: Act with our members in mind, Move with purpose, and Seek diverse perspectives. They anchor our business decisions, including how we grow, the products we make, and the paths we choose—or don’t choose.

Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Thyme Care. Individual pay decisions are based on several factors, including qualifications, experience level, skillset, and balancing internal equity relative to other Thyme Care employees. The base salary for this role is $166,500-$185,000. The salary range could be lower or higher than this if the role is hired at another level.

We recognize a history of inequality in healthcare. We’re here to challenge the status quo and create a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the members we serve. We are an equal-opportunity employer.

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