design engineer

Meet Life Sciences

<div>
 
 Our client is a small, focused team building technology that puts better clinical information in the hands of healthcare professionals &mdash; at a scale that belies the size of the team behind it. They've grown fast, they operate lean by design, and they're now building out the founding team that will shape the next decade of the company.
 
 
 
 
 
 In healthcare, the interface isn't decoration. When a clinician is making a call, what's in front of them needs to work &mdash; instantly, clearly, without friction. Good design here isn't a nice-to-have. It's part of the answer.
 
 
 
 
 
 
 Design Engineer
 
 
 
 You'll sit at the intersection of design and engineering and own both sides completely. That means building what you design, shipping it fast, and iterating on it in production with real users giving you real signal. Product, brand, motion, systems &mdash; the full picture is yours to shape.
 
 
 The right person for this role doesn't think in handoffs. They think in outcomes. They see something that isn't working and they fix it &mdash; not because they were asked, but because they couldn't leave it alone.
 
 
 
 
 
 
 What You'll Work On
 
 
 <ul>
 <li>
 
 The Full Product Experience
 
 You're responsible for how the product looks, feels and behaves across every surface. You set the bar and you hold it.
 </li>
 <li>
 
 Building, Not Just Designing
 
 You write production code. Your work goes live fast and you learn from it in real time &mdash; no waiting, no translating your vision through someone else's hands.
 </li>
 <li>
 
 The Details That Actually Matter
 
 Information hierarchy, typography, interaction design &mdash; the things most people gloss over are the things you obsess over. That's what separates good from great in a product like this.
 </li>
 <li>
 
 Working at the Top of the Company
 
 You'll work directly with the founders, with short feedback loops and genuine influence over product direction. What you think matters here.
 </li>
 </ul>
 
 
 
 
 
 What You Bring
 
 
 <ul>
 <li>
 Fluency in both design and engineering &mdash; you've always worked this way
 </li>
 <li>
 A portfolio that shows taste, not just technical ability
 </li>
 <li>
 Experience shaping both product and brand, not one or the other
 </li>
 <li>
 The instinct to spot what's off and the drive to fix it unprompted
 </li>
 <li>
 Speed that doesn't come at the cost of quality
 </li>
 <li>
 A desire to own, not assist
 </li>
 </ul>
 
 
 
 
 
 Details
 
 Based in San Francisco. Remote considered for the right person, with relocation support available. Competitive salary, meaningful equity, full-time.
 
 
 
 
 
 
 Interested?
 
 Apply and I'll be in touch if there's a fit. We work with a number of exciting clients across the industry &mdash; so even if this one isn't quite right, another opportunity might be just around the corner.
 
</div>

Design Engineer

OpenAI

About the Team
 
OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners.
 
As a Data Center Infrastructure Mechanical Engineer, you will help design, validate, and scale the cooling and mechanical systems that make high-density AI compute possible. You will work across thermal architecture, equipment development, manufacturing validation, construction, commissioning, deployment, and operations, partnering with research, hardware engineering, data center engineering, supply chain, EHS, operations, and external delivery partners.
 
About The Role
 
We are seeking a senior mechanical infrastructure engineer to lead the development of reliable, efficient, safe, and scalable thermal architectures for high-density, liquid-cooled AI data centers. This role is ideal for someone who can translate evolving compute and rack-level thermal requirements into practical infrastructure designs, evaluate complex equipment and vendor solutions, and drive technical decisions across facilities, hardware, controls, telemetry, testing, commissioning, and operations.
 
The ideal candidate has deep hands-on experience with mission-critical mechanical systems at data center or comparable critical infrastructure scale, including chilled water plants, condenser water systems, cooling towers, dry coolers, pumps, heat exchangers, CDUs, manifolds, CRAHs, air handlers, filtration, water treatment, controls, liquid distribution, and high-density rack cooling interfaces.
 
Key Responsibilities
 
Define mechanical and cooling infrastructure requirements and reference architectures for AI data center campuses, including heat rejection, chilled water, condenser water, liquid cooling distribution, air handling, containment, filtration, water treatment, controls, and metering.
 
Review and develop basis-of-design documents, design narratives, P&IDs, mechanical schedules, equipment specifications, thermal capacity models, hydraulic models, CFD analysis, controls sequences, and commissioning requirements.
 
Evaluate mechanical architectures for high-density compute, including direct-to-chip liquid cooling, CDU topology, facility water interfaces, manifolds, quick disconnects, hoses, heat exchangers, pumping strategies, leak detection, serviceability, and failure isolation.
 
Partner with electrical, controls, hardware, networking, construction, and operations teams to ensure cooling systems support liquid-cooled GPU rack deployments and reliable facility operation.
 
Develop technical specifications and acceptance criteria for chillers, cooling towers, dry coolers, evaporative coolers, pumps, heat exchangers, CDUs, manifolds, valves, filters, water treatment systems, CRAHs, air handlers, VFDs, controls panels, sensors, and monitoring devices.
 
Lead technical evaluation of equipment vendors, manufacturers, design consultants, commissioning agents, contractors, and testing laboratories; review submittals, P&IDs, control diagrams, performance curves, test reports, certifications, and quality documentation.
 
Drive factory acceptance testing, site acceptance testing, witness testing, pressure testing, leak testing, thermal performance testing, reliability testing, interoperability testing, and integrated systems testing for critical equipment and high-density rack deployments.
 
Help design and operate a hardware and data center infrastructure R&D laboratory used to validate new cooling equipment, liquid-cooled GPU rack designs, operating envelopes, fault scenarios, telemetry, and facility-hardware interactions.
 
Collaborate with hardware manufacturers to evaluate L10 and L11 test procedures, yield, throughput, reliability, serviceability, and readiness for large-scale deployment.
 
Define telemetry and controls requirements for mechanical and supporting electrical systems, including temperatures, flow rates, differential pressure, pump status, valve position, chiller status, CDU status, coolant quality, leak detection, alarms, control states, and rack-level thermal signals.
 
Analyze lab data, operational incidents, thermal excursions, flow excursions, pressure excursions, leak events, contamination events, nuisance alarms, controls alarms, and rack-level thermal failures to improve designs, procedures, vendor quality, and reliability models.
 
Create clear engineering documentation, standards, test procedures, commissioning scripts, operating procedures, decision records, risk registers, and executive-ready technical summaries.
 
Provide senior technical escalation support during design reviews, construction, manufacturing validation, commissioning, startup, production deployment, vendor testing, and operational events.
 
Mentor partner teams and raise the technical bar for mechanical design, thermal validation, safety, water quality, documentation, reliability, and operational rigor.
 
Required Qualifications
 
Extensive senior-level experience in data center mechanical engineering, mission-critical facilities, high-performance computing infrastructure, thermal systems, or comparable critical infrastructure environments, typically gained through 10+ years of relevant work or equivalent depth of experience.
 
Deep expertise in mechanical design, commissioning, operations, maintenance, reliability, and lifecycle management at large campus or multi-site scale.
 
Hands-on experience with chilled water systems, condenser water systems, process cooling water, cooling towers, dry coolers, evaporative cooling, pumps, heat exchangers, CDUs, manifolds, CRAHs, air handlers, filtration, water treatment, valves, piping, controls, and monitoring systems.
 
Experience designing, testing, certifying, commissioning, or operating equipment used in high-density compute or mission-critical environments, including liquid cooling systems, CDUs, high-flow hydronic systems, heat exchangers, rack manifolds, quick disconnects, and thermal monitoring systems.
 
Experience reviewing and producing technical design packages, equipment specifications, design narratives, sequence-of-operations, CFD or hydraulic studies, test plans, commissioning scripts, operating procedures, and acceptance criteria.
 
Proven ability to evaluate and manage external engineering firms, equipment manufacturers, construction partners, commissioning providers, testing laboratories, and strategic suppliers.
 
Strong understanding of product safety, agency certification, mechanical code compliance, pressure safety, environmental requirements, AHJ coordination, utility requirements, water quality programs, and standards relevant to critical mechanical infrastructure.
 
Experience with factory acceptance testing, site acceptance testing, integrated systems testing, leak testing, pressure testing, thermal performance testing, failure-mode testing, root-cause analysis, and corrective-action management.
 
Ability to use data, models, field observations, and engineering judgment to make decisions under ambiguity and communicate risk clearly to technical and non-technical stakeholders.
 
Bachelor's degree in Mechanical Engineering, Electrical Engineering, Systems Engineering, or a related technical field, or equivalent practical experience.
 
Preferred Qualifications
 
Advanced degree in mechanical engineering, thermal sciences, fluid mechanics, systems engineering, or a related discipline.
 
Professional Engineer license, Chartered Engineer status, or comparable professional certification.
 
Direct experience with AI infrastructure, hyperscale data centers, HPC clusters, GPU rack deployments, direct-to-chip liquid cooling, immersion cooling, or high-density rack thermal design.
 
Experience with high-density liquid cooling architectures, CDU qualification, facility water interface specifications, coolant chemistry, leak detection, quick disconnects, rack manifolds, cold plates, and thermal controls for accelerated compute.
 
Experience qualifying new mechanical or thermal products from concept through prototype, certification, manufacturing ramp, field deployment, and lifecycle support.
 
Experience evaluating L10 and L11 manufacturing test validation procedures, yield, throughput, burn-in, reliability screens, and test coverage for liquid-cooled GPU racks or similar complex systems.
 
Experience with BMS, EPMS, DCIM, SCADA, PLCs, chiller controls, pump controls, CDU controls, data historians, digital twins, CFD model validation, and reliability analytics.
 
Experience managing global, multi-site equipment manufacturing programs or data center programs across matrixed organizations and partner ecosystems.
 
Familiarity with sustainability, energy efficiency, PUE, WUE, CUE, water stewardship, grid constraints, demand response, renewable energy integration, heat reuse, and low-carbon infrastructure design considerations.
 
Work Environment and Travel
 
This role may require periodic travel to data center campuses, manufacturing partners, equipment suppliers, laboratories, construction sites, and commissioning activities.
 
The engineer should be comfortable working in office, lab, manufacturing, construction, and operating data center environments, including environments that require PPE, safety briefings, lockout/tagout discipline, water or chemical handling discipline, and coordination with site operations.
 
Work may include time-sensitive technical escalations during commissioning, startup, production deployment, vendor testing, leak events, thermal events, water treatment events, or operational incidents.
 
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.
 
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.
 
Compensation
 
$257K – $327K + Offers Equity

Data Center Infrastructure Mechanical Engineer

About the Team
 
OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners.
 
As a Data Center Infrastructure Electrical Engineer, you will help define, validate, and scale the electrical power systems that support high-density AI compute. You will translate evolving compute requirements into practical facility and rack-power architectures, evaluate new technologies and vendor solutions, and drive technical decisions across design, manufacturing validation, construction, commissioning, deployment, and operations.
 
This role is best suited for a senior hands-on engineer with deep experience in mission-critical power systems, strong judgment under ambiguity, and the ability to connect facility infrastructure, hardware requirements, controls, telemetry, reliability, and operations.
 
About the Role
 
We are seeking a senior electrical infrastructure engineer to lead the development of reliable, scalable, and efficient power architectures for high-density, liquid-cooled AI data centers.
 
The ideal candidate has strong practical experience with critical electrical systems at data centers or comparable industrial scale, including medium-voltage and low-voltage distribution, utility interfaces, backup power, UPS and battery systems, rack power delivery, grounding, protection, controls, and monitoring systems.
 
You should be comfortable moving between long-range architecture, detailed engineering review, lab validation, vendor qualification, field deployment, and operational troubleshooting.
 
Key Responsibilities
 
Design and optimize electrical topologies and equipment strategies that reduce cost, accelerate schedules, improve efficiency, increase scalability, and maintain high reliability and maintainability.
 
Review and develop basis-of-design documents, single-line diagrams, equipment specifications, commissioning plans, and power system studies including load flow, short circuit, protection coordination, arc flash, and grid transient compliance.
 
Lead technical evaluation of equipment vendors, manufacturers, design consultants, commissioning agents, contractors, and test labs. Review submittals, schematics, certifications, quality records, and test reports.
 
Evaluate AC and DC power distribution options for high-density compute, including rectifier architectures, busway, rack power shelves, power supplies, cable management, redundancy strategies, serviceability, and fault isolation.
 
Partner with mechanical, cooling, controls, hardware, networking, construction, and operations teams to ensure electrical systems support liquid-cooled GPU rack deployments and reliable facility operation.
 
Drive FAT, SAT, witness testing, burn-in, reliability testing, interoperability testing, and integrated systems testing for critical infrastructure and rack deployments.
 
Help guide and operate an R&D program to validate new equipment, rack designs, telemetry, operating envelopes, failure scenarios, and facility-to-hardware interactions.
 
Define telemetry and controls requirements including metering, waveform capture, breaker and relay status, UPS and battery health, generator status, rack power, CDU status, coolant conditions, alarms, and control states.
 
Analyze lab data, operational incidents, power quality events, nuisance trips, thermal excursions, controls alarms, and rack-level failures to improve designs, procedures, vendor quality, and reliability models.
 
Create engineering standards, test procedures, commissioning scripts, operating procedures, decision records, risk registers, and concise executive summaries.
 
Provide senior technical escalation support during design reviews, construction, manufacturing validation, commissioning, energization, deployment, and operational events.
 
Raise the technical bar across partner teams in electrical design, safety, testing discipline, documentation quality, reliability, and operational rigor.s
 
Qualifications
 
10+ years of electrical engineering experience in mission-critical facilities such as data centers or comparable critical infrastructure.
 
Bachelor’s degree in electrical engineering, power systems, or a related discipline.
 
Strong hands-on experience with MV/LV distribution, transformers, switchgear, switchboards, generators, UPS systems, batteries, PDUs, RPPs, busway, PSUs, grounding, bonding, and protection systems.
 
Experience producing and reviewing electrical designs, studies, equipment specifications, commissioning plans, test procedures, and acceptance criteria.
 
Experience leading FWTs, FATs, SATs, integrated systems testing, failure-mode testing, and root-cause investigations.
 
Strong understanding of codes, standards, utility coordination, safety requirements, and AHJ processes.
 
Ability to evaluate conflicting technical tradeoffs involving reliability, cost, schedule, constructability, maintainability, and scalability.
 
Strong written and verbal communication skills with the ability to explain complex issues clearly to technical and non-technical stakeholders.
 
Comfortable operating in fast-moving environments with incomplete information and changing priorities.
 
Preferred Skills
 
15+ years of relevant experience.
 
Advanced degree in electrical engineering, power systems, or a related discipline.
 
Professional Engineer license, Chartered Engineer status, or comparable professional certification.
 
Direct experience with hyperscale data centers, GPU clusters, high-density rack deployments, or liquid-cooled compute environments.
 
Experience qualifying new electrical products from prototype through certification, manufacturing ramp, deployment, and lifecycle support.
 
Experience with BMS, EPMS, DCIM, SCADA, PLCs, protective relays, waveform capture, data historians, or reliability analytics platforms.
 
Experience with modular power systems, rack-level conversion, BESS, HVDC/LVDC, or other advanced power architectures.
 
Experience managing global, multi-site deployment programs or manufacturing quality programs.
 
Familiarity with grid constraints, demand response, renewable integration, or low-carbon infrastructure strategies.
 
Work Environment and Travel
 
This role requires periodic travel to data center campuses, manufacturing partners, equipment suppliers, laboratories, construction sites, and commissioning activities.
 
The person in this role should be comfortable working in office, lab, manufacturing, construction, and operating data center environments, including environments that require PPE, safety briefings, lockout/tagout discipline, and coordination with site operations.
 
Work may include time-sensitive technical escalations during commissioning, energization, production deployment, vendor testing, or operational incidents.
 
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.
 
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.
 
Compensation
 
$257K – $327K + Offers Equity

Data Center Infrastructure Electrical Engineer

Apple

The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. 
 
Data Services provides Data Solutions across Apple is looking for a creative and motivated AI Engineer with excellent problem solving and interpersonal skills. We are seeking a hands-on AI Solutions Engineer with deep technical expertise in Artificial Intelligence and Generative AI who can design, prototype, and implement scalable, high-impact AI solutions. This role blends system architecture, rapid prototyping, and cross-functional execution to shape the next generation of intelligent products. We would love to hear from you if you're enthusiastic, highly motivated, and want to make an impact! 
 
Description 
 
As a strategic and technical leader, you will partner closely with engineers, product managers, product designers, data scientists, and business stakeholders to identify high-value AI opportunities, translate them into scalable architectures, and ensure successful deployment into production environments. The ideal candidate is a proactive self-starter who excels in cross-functional collaboration to empower our Sales and Sales Finance organizations. In addition to deep technical expertise, this role demands exceptional communication and presentation skills. You&rsquo;ll need to translate complex AI concepts for senior leadership, cross-functional peers, and non-technical partners- ensuring clear alignment, strong collaboration, and high-impact delivery. It&rsquo;s a unique opportunity for someone who thrives in a fast-paced environment and takes full ownership of their work from idea to execution.&quot;,&quot;responsibilities&quot;:&quot;Design end-to-end AI solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance. 
 
Build prototypes to evaluate architecture and modeling approaches, working closely with engineering teams to transition concepts into robust systems. 
 
Guide architectural decisions across LLM applications, multimodal systems, and agentic frameworks. 
 
Assess and integrate open-source tools, orchestration frameworks, context management solutions, and vector databases. 
 
Collaborate with product and business teams to define KPIs and ensure alignment of AI initiatives with strategic goals. 
 
Stay on top of emerging trends in Generative AI, prompt engineering, and agent-based architectures. 
 
Define and advocate for best practices in model serving, integration patterns, and runtime efficiency-not just training ops. 
 
Preferred Qualifications 
 
Experience leading zero-to-one initiatives for AI product development 
 
Familiarity with synthetic data generation, fine-tuning techniques, and performance optimization for large models 
 
Understanding of agent-based interaction patterns, multi-agent communication protocols (e.g., MCP, A2A), and AG-UI concepts 
 
Prior work in designing user-facing AI features or tools; familiarity with frontend integration is a plus 
 
Excellent communication skills with the ability to translate technical concepts into business terms 
 
Ph.D. in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications 
 
Minimum Qualifications 
 
2+ years industry experience with a Master&rsquo;s in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications 
 
1+ years plus of experience building AI-powered systems with a strong fundamental grasp of architecture and deployment 
 
Experience designing and delivering NLP or LLM-based systems, with knowledge of multi-modal and agentic AI frameworks 
 
Proficiency with Python to use ML libraries (e.g., PyTorch, TensorFlow, Transformers), vector search engines (e.g., FAISS, Weaviate or similar) and vector databases (e.g., Milvus, Vespa, or similar) 
 
Experience developing cloud platforms solutions (e.g., AWS, GCP, or public cloud, etc.) 
 
Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex or similar), containerization (Docker, Kubernetes or similar), and scalable APIs 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AI Engineer, AI & Data Platforms (AiDP)

<div>
 
 About The Team
 
 
 
 Our team brings OpenAI&rsquo;s most capable technology to the world through our developer platform: the OpenAI API. As the leading AI development platform, our API is used by millions of developers and the majority of enterprises around the world, and powers the majority of AI applications that you may use on a daily basis. Most recently, we&rsquo;ve released gpt-5, gpt-realtime, Responses API, Agents SDK, and many other products and features.
 
 
 
 About The Role
 
 
 
 We are looking for a software engineer to own the design of our APIs. Our API
 
 is
 
 our product, and as such we treat its design and development with care and intentionality. Every endpoint, every field name, and every enum value is a product interface that we want to design well. We are looking for engineers who not only love building APIs, but who will also sweat the details around API design and have a discerning taste for well designed API experience. You will play a major role in shaping the future roadmap of the OpenAI API &ndash; by both building and designing it.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Design and build products that we launch in API &ndash; extending existing endpoints, adding new endpoints, or rethinking our entire API suite.
 </li>
 <li>
 Play a major role in our API Review process &ndash; working with all other teams to ensure our APIs meet our design standard.
 </li>
 <li>
 Collaborate closely with the rest of the API team, our Developer Experience team, and our GTM team to make our APIs the best in the world.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Appreciate taste in API design &ndash; you believe there are well designed APIs and poorly designed APIs
 </li>
 <li>
 Can thrive and operate independently in a fast-paced environment with ambiguous requirements and goals
 </li>
 <li>
 Love building for other developers, and thrive on feedback from opinionated users
 </li>
 <li>
 Are an engineer at heart, but are willing to lean into product decisions.
 </li>
 <li>
 Think of APIs as ladders.
 
 
 </li>
 </ul>
 
 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&rsquo;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.
</div>

Backend Software Engineer, API Platform

Scale

Founding Data &amp; Operations EngineerSan Francisco, CA (On-Site) | $200K&ndash;$280K BaseBuild the Infrastructure Behind the Future of Global FinanceWe are building a next-generation financial platform that unifies banking, payments, and crypto into a single, seamless experience. Our mission is to expand financial access globally&mdash;particularly in regions where traditional systems have failed&mdash;and give millions of people a better way to move and manage money.Our team is intentionally small and senior. We&rsquo;ve previously built and scaled products used by hundreds of millions of users and generating billions in revenue. Now, we are doing it again&mdash;this time with immediate distribution through key partners and a clear path to global scale.We are looking for a Founding Data &amp; Operations Engineer to design and build the core systems that will power everything we do.What You&rsquo;ll Own<ul><li>Architect and build the data infrastructure that underpins our entire platform</li><li>Create systems that enable accurate financial ledgers across multiple partners and accounts</li><li>Design pipelines that support fraud detection, AML workflows, and risk modeling</li><li>Build a unified analytics layer that gives teams real-time, reliable insights</li><li>Establish secure data access patterns that maintain governance, lineage, and compliance</li><li>Define and document best practices for infrastructure and data systems as we scale</li></ul>What You Bring<ul><li>5+ years of experience building and shipping data platforms or pipelines at scale</li><li>Deep expertise with Terraform, dbt, SQL, and AWS</li><li>Strong experience in FinTech environments (banking, payments, crypto, lending, etc.)</li><li>Background in data modeling, ETL/ELT, or event-driven systems</li><li>Ability to think across systems&mdash;data, backend, and infrastructure</li><li>Clear and effective technical communication</li></ul>What Makes You Stand Out<ul><li>Experience with global payments, ledgering, or financial systems</li><li>Exposure to fraud detection or compliance workflows</li><li>Ability to translate complex data into clear insights and systems</li><li>Experience working in small, high-performance teams</li></ul>Why This Role Is Different<ul><li>Founding-level ownership: You will define core architecture and systems from the ground up</li><li>Immediate impact: Your work directly powers products used by millions</li><li>High-caliber team: Work alongside experienced operators and engineers with proven track records</li><li>Speed and autonomy: No layers, no bureaucracy&mdash;just execution</li><li>Global scale: Build infrastructure that supports a worldwide user base from day one</li></ul>Our CultureWe operate with a strong bias toward ownership, speed, and precision. Every person on the team contributes meaningfully to both product and company direction. We value individuals who take initiative, communicate openly, and are driven to build at a high level.Compensation<ul><li>Base salary: $200,000&ndash;$280,000</li><li>Additional compensation and benefits discussed during the process</li></ul>Final ThoughtThis is an opportunity to build the data foundation of a global financial platform from the earliest stages. If you are motivated by ownership, technical depth, and real-world impact, we want to hear from you.Pay: $200,000.00 - $280,000.00 per yearApplication Question(s):<ul><li>Do you have experience working at banking/credit card/crypto/remittances/lending startups?</li><li>Do you have experience with data modeling, ETL/ELT, or event-driven systems?</li><li>Do you have extensive hands-on experience building scalable data architectures in a consumer-oriented FinTech environment using Terraform, dbt, and SQL?</li><li>Do you have at least 5+ years building and shipping data pipelines and platforms?</li><li>Do you have experience generally across the backend: working with Postgres, Redis, AWS, etc?</li></ul>Work Location: In person

Senior Data Engineer

Ｃollective

<div>About Collective:
Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork.
Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google&rsquo;s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft.
About the role:
Most teams have the data they need but can&rsquo;t access it. This role is here to fix that.
We're hiring a senior engineer to build an internal data agent: a system that lets anyone at the company act as their own data analyst. Individuals can ask questions in plain English and get back correct, decision-ready answers or dashboards.
This is not a traditional data role. You'll operate across AI systems, data infrastructure, and product engineering. You'll be responsible both for building a powerful system and for ensuring the data it relies on is clean, consistent, and reliable.
The problem space is wide open. We&rsquo;re looking for a strategic operator to shape the technical direction, the data model, and system adoption.
What you'll do:<ul><li>
Develop agent infrastructure<ul><li>
Build retrieval, planning, and execution systems on top of real data</li><li>
Support multi-step reasoning and analysis workflows</li><li>
Integrate into internal tools</li></ul></li><li>
 Build an end-to-end analytics system<ul><li>
Create a natural language interface over our entire data stack</li><li>
Enable anyone to run complex analyses without writing SQL</li></ul></li><li>
Own and improve the data layer<ul><li>
Collaborate with product engineering to design and evolve clean, consistent data models</li><li>
Identify inconsistencies in the core schema and resolve them at the source</li></ul></li><li>
Build and maintain data pipelines<ul><li>
Own the reliability of our data infrastructure end-to-end</li><li>
Debug and fix broken systems (e.g. dbt models, pipeline failures)</li><li>
Make it easy to integrate new data sources into the data warehouse</li></ul></li><li>
Make it trustworthy<ul><li>
Ensure outputs are correct, consistent, and explainable</li><li>
Build evaluation loops, monitoring, and guardrails</li><li>
Eliminate ambiguity in metrics, definitions, and sources of truth</li><li>
Handle permissions, sensitive data, and edge cases</li></ul></li><li>
Drive adoption<ul><li>
Work directly with teams across EPD, Member Operations, Legal, and more</li><li>
Drive alignment on data definitions and system usage</li><li>
Turn this into the default way people interact with data</li></ul></li></ul>
What you'll bring:<ul><li>
 You are a product engineer working in data<ul><li>
You treat data models as part of the product, not a separate layer</li><li>
You have strong opinions on schema design, naming, and consistency</li><li>
You're comfortable identifying issues in production data and fixing them at the root</li></ul></li><li>
You are an owner, not a participant<ul><li>
You take vague, high-stakes problems and turn them into real systems</li><li>
You care about outcomes, not just implementation</li></ul></li><li>
You have strong data experience<ul><li>
Experience with data modeling, warehouses, and pipelines</li></ul></li><li>
You're an exceptional builder<ul><li>
You can go from idea architecture production</li><li>
You've built with LLMs, RAG, or agents in production</li><li>
You've shipped systems that people actually rely on</li></ul></li><li>
You have influence<ul><li>
You communicate effectively with both technical and non-technical stakeholders</li><li>
You can drive alignment across teams with competing priorities</li><li>
You're comfortable challenging existing systems and pushing for better approaches</li></ul></li></ul>
What we offer:<ul><li>
Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility.</li><li>
Fresh Lunch: Provided on in-office days.</li><li>
Commuter Support: $150 monthly reimbursement for transit expenses.</li><li>
Health &amp; Wellness: $200 quarterly reimbursement to support your well-being.</li><li>
Time Off: Flexible PTO plus 14 company holidays.</li><li>
Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents.</li><li>
Parental Leave: 16 weeks fully paid.</li><li>
Retirement &amp; Ownership: 401k plan plus an equity package.</li><li>
Team Connection: Quarterly virtual events and an annual in-person summit.</li></ul>
Compensation Range: $200K - $270K</div>

AI Data Engineer (Agent Platform)

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