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design integration manager - mission critical Jobs in San Francisco

engineer supercomputing distributed systems

KREA

<div>About Krea
At Krea, we are building next-generation AI creative tools.
We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.
We believe AI is a new medium that allows us to express ourselves through various formats&mdash;text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium.
Supercomputing / AI Infra at Krea
We build and operate the infrastructure for Krea's research and inference. Distributed training, 1000+ K8s GPU clusters, petabyte scale data pipelines, etc. We build a lot of this from scratch &mdash; custom distributed datastores, job orchestration systems, and streaming pipelines that replace tools like Kafka and Ray for modern AI workloads at scale.
Example projects:
Distributed data systems<ul><li>
Design multi-stage pipelines that turn petabytes of raw data into clean, annotated datasets</li><li>
Run classification models on billions of images</li><li>
Deploy and combine LLMs to caption massive multimedia data</li></ul>
GPU infrastructure<ul><li>
Manage distributed training and inference on 1000+ GPU Kubernetes clusters</li><li>
Solve orchestration and scaling for large-scale GPU job processing</li><li>
Scale workloads and research between clusters in multiple datacenters</li></ul>
Distributed training<ul><li>
Profile and optimize dataloaders streaming thousands of images per second</li><li>
Profile and debug InfiniBand networking on huge training runs</li><li>
Build fault tolerance systems for large-scale pretraining</li><li>
Collaborate with researchers on evolving RL infrastructure</li></ul>
Applied ML pipelines<ul><li>
Find clean scenes in millions of videos using distributed shot-boundary detection</li><li>
Customize and train models to filter billions of images for questions like &quot;is this a screenshot?&quot;</li><li>
Build the systems that bridge raw cluster capacity and research output</li></ul>
Who we're looking for:
Systems people. If you've read a blog post about InfiniBand debugging or building a custom distributed database and thought &quot;I want to do that&quot; &mdash; this is that team.
You'll spend your time working heavily with Python, Kubernetes, Torch, and data tools like DuckDB, Arrow, etc. It's OK if you don't have K8s or ML experience &mdash; the main thing we hire for is an intuition for distributed systems, and a great mental model of how systems interact and function under different conditions.
Strong candidates may have experience with&hellip;<ul><li>
Python, PyArrow, DuckDB, SQL, massive relational databases, PyTorch, Pandas, NumPy&hellip;</li><li>
Kubernetes</li><li>
Designing and implementing large-scale ETL systems</li><li>
Fundamental knowledge of containerization, operating systems, file-systems, and networking</li><li>
Distributed systems design</li><li>
Distributed training systems (NCCL, InfiniBand, RDMA)</li><li>
Streaming and event processing systems (Kafka, Pulsar, or similar)</li><li>
PyTorch internals, custom dataloaders, and training infrastructure</li></ul></div>

Engineer, Supercomputing & Distributed Systems

Uber

<div>
 
 About The Role
 
 
 
 The Growth and Marketing Platform Data Team is looking for a highly skilled and passionate Data Engineer to build and scale Uber's data infrastructure. In this role, you'll develop high-performance data pipelines, real-time streaming systems, and robust data architectures that power Uber's growth and marketing initiatives.
 
 
 You'll collaborate with Product Managers, Data Scientists, Data Platform Engineers, and Marketing Operations to design scalable, efficient, and reliable data solutions that drive business impact. This is a highly visible and impactful role for someone who thrives on data at scale, technical leadership, and solving ambiguous problems with clarity and precision.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable data pipelines and backend services for processing large-scale web event analytics.
 </li>
 <li>
 Lead the development of core data infrastructure, ensuring high availability, performance, and reliability.
 </li>
 <li>
 Solve complex challenges at the intersection of low latency, high correctness, and full determinism.
 </li>
 <li>
 Architect and optimize data models, ETL/ELT workflows, and distributed data processing frameworks.
 </li>
 <li>
 Participate in code reviews, mentor junior engineers, and enforce best practices in data engineering.
 </li>
 <li>
 Diagnose and resolve data quality issues, ensuring accuracy, efficiency, and security.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 4+ years of experience in data engineering or backend software development.
 </li>
 <li>
 Proficiency in Python, SQL, Java, or Scala for data pipeline development.
 </li>
 <li>
 Proficiency in Big Data frameworks (e.g., Spark, Flink, Presto, MapReduce) and distributed computing.
 </li>
 <li>
 Data warehouse and Data Modeling experience
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in Web and SEO Analytics
 </li>
 <li>
 Experience in Marketing Technologies
 </li>
 <li>
 Designing and executing on Real-time and Near Real-time Systems
 
 
 </li>
 </ul>
 For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits., For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
</div>

Data Engineer - Growth and Marketing Platform

Plaid

<div>
 We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
 
 
 Plaid&rsquo;s Platform Engineering organization comprises multiple teams focused on core infrastructure, data platforms, storage, privacy, and developer efficiency. Together, these teams ensure that Plaid&rsquo;s technology platform is scalable, reliable, and secure to support our rapid growth. Our infrastructure handles millions of requests per day, and we pride ourselves on maintaining highly robust and performant systems. As a Platform Engineer, you will design, build, and maintain the foundational infrastructure and internal platforms that empower all of Plaid&rsquo;s engineering teams to move quickly and safely. You&rsquo;ll work cross-functionally with product engineering squads to ship new features and ensure operational excellence throughout each product&rsquo;s lifecycle.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design &amp; Develop Scalable Systems: Build and maintain core platform services with a focus on performance, reliability, and scalability. You will create and evolve distributed backend systems that serve as the bedrock for products used by millions of users.
 </li>
 <li>
 Infrastructure &amp; Data Platforms: Develop and improve infrastructure for data storage and processing &ndash; for example, high-performance databases and modern data processing frameworks &ndash; to handle Plaid&rsquo;s growing data and product needs. Ensure our data infrastructure is robust and can scale effectively.
 </li>
 <li>
 Developer Productivity Tools: Create internal tools, frameworks, and automation to improve developer productivity and efficiency. This includes building CI/CD pipelines, observability and monitoring systems, and self-service infrastructure platforms that enable teams to ship code quickly and safely.
 </li>
 <li>
 Security &amp; Privacy by Design: Integrate security, privacy, and compliance best practices into our platforms (e.g. data encryption, access controls, audit logging) to protect sensitive financial data. Work closely with Security and Privacy teams to ensure our infrastructure and internal services meet high standards for data protection and regulatory compliance.
 </li>
 <li>
 Cross-Team Collaboration: Work hand-in-hand with product engineers and other stakeholders to understand requirements and translate them into reliable platform capabilities. Facilitate smooth integration of platform solutions into various products, and coordinate across teams to resolve issues and deliver new features efficiently.
 </li>
 <li>
 Technical Excellence &amp; Leadership: Uphold high engineering standards through code reviews, testing, and documentation. Take initiative in setting technical direction and architecture for platform systems, and mentor junior engineers to help grow their skills. You will lead by example in driving best practices and continuously improving the quality of our engineering solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Experience: 2 to 4 years of software engineering experience, with a proven track record of building and shipping complex backend systems or platforms. Experience designing and scaling distributed systems is highly desired.
 </li>
 <li>
 Strong Coding Skills: Proficiency in at least one general-purpose programming language (e.g. Go, Python, Java, C++). Our core services are built largely in Go, so experience with Go is a plus. You write clean, efficient, and maintainable code and have solid computer science fundamentals.
 </li>
 <li>
 Distributed Systems &amp; Problem Solving: Deep understanding of system design and algorithms. Hands-on experience with designing, building, and operating distributed systems or microservices architectures at scale. Ability to debug complex issues in a production environment and optimize system performance and reliability.
 </li>
 <li>
 Data and Databases: Familiarity with relational and NoSQL database technologies (for example, MySQL/TiDB, PostgreSQL, MongoDB) and data storage architectures. Experience building data pipelines or working with big data processing frameworks (Spark, Databricks, etc.) is a plus.
 </li>
 <li>
 Collaboration &amp; Communication: Excellent communication and teamwork skills, with the ability to work effectively in a cross-functional environment. You can collaborate closely with other engineers, product managers, and stakeholders, and you&rsquo;re able to explain complex technical concepts in simple terms when needed.
 
 
 </li>
 </ul>
 $176,400 - $243,600 a year
 
 
 The target base salary for this position ranges from $176,400/year to $243,600/year in Zone 1. The target base salary will vary based on the job's location.
 
 
 
 Our Geographic Zones Are As Follows
 
 
 
 Zone 1 - San Francisco / New York City / Seattle
 
 
 Zone 2 - Los Angeles / Washington DC / Austin / Boston / Sacramento / San Diego
 
 
 Zone 3 - Atlanta / Portland / Chicago / Philadelphia / Denver / Miami / Dallas / Raleigh
 
 
 Zone 4 - All other US cities
 
 
 The base salary range listed for this full-time position excludes commission (if applicable), equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.
 
 
 Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
 
 
 Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected] .
 
 
 Please review our Candidate Privacy Notice here .
</div>

Software Engineer - Platform

Coinbase

<div><div>Ready to be pushed beyond what you think you're capable of?

At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform &mdash; and with it, the future global financial system.

To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems.

Our work culture is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.</div>
We're looking for a Senior Software Engineer to join the Blockchain Data Storage team!

Our team has built the fundamental Web3 infrastructure, the data layer, by delivering an open-source, industry-leading suite of data availability solutions, ChainStack, to ensure efficient and scalable access. ChainStack is designed to ingest, index, and parse vast amounts of crypto data with minimal latency, providing a comprehensive solution to a widespread industry challenge. Come join us!

What you'll be doing:
<ul>
<li>Architect and develop distributed systems</li>
<li>Provide technical structure to teams and work closely with management and stakeholders to define strategic roadmaps</li>
<li>Manage individual projects priorities, deadlines and deliverables with your technical expertise</li>
<li>Mentor and train other team members on design techniques and coding standards</li>
<li>Design and implement foundational infrastructure components used by every engineering team in production (e.g. dynamic configuration, secrets storage, container orchestration, etc)</li>
<li>Write high quality, well tested code to meet the needs of your customers</li>
</ul>
What we look for in you:
<ul>
<li>5+ years of experience in software engineering</li>
<li>Very strong in distributed systems or data systems. If you are experienced with Crypto, it's a big plus!</li>
<li>You've experienced architecting and developing solutions to ambiguous problems with significant impact</li>
<li>You're passionate about building an indexing platform that brings the Web3 and Web2 world together</li>
<li>Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.</li>
</ul>
 Nice to haves:
<ul>
<li>You have gone through a rapid growth in your company (from 10 to 100s of engineers)</li>
<li>You have experience with Blockchains (such as Bitcoin, Ethereum etc.)</li>
<li>You have experience decomposing a large monolith into microservices</li>
<li>You've worked with Golang, Kafka, Redis, S3, Clickhouse, MongoDB</li>
<li>You've built financial, high reliability or security system</li>
</ul>
Job #: P74888
<div></div><div>
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.
<h3 class="jobSectionHeader">
Commitment to Equal Opportunity</h3>

Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.

Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
<h3 class="jobSectionHeader">
Global Data Privacy Notice for Job Candidates and Applicants</h3>

Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.
<h3 class="jobSectionHeader">AI Disclosure</h3>

For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.

The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com</div></div>

Senior Software Engineer, Blockchain Data Storage

Arcade Food Theatre

<div>Everyone's talking about AI. But here's the truth: ChatGPT can't send your emails. It can't book your flights. It can't even order you lunch.
Why? Because AI is trapped in a chat box. It can't take real actions in the real world.
We are changing that forever. We're not just building another AI company - we're creating the infrastructure that will power every AI application you'll use in the future.
The Revolution Needs You
Every AI app needs agentic &quot;tools&quot; - special functions that let AI models take real actions. Without tools, AI can only chat. With tools, AI can actually do things. We're building the definitive tools catalog and tool-calling platform that will unlock AI's true potential. Think Zapier for AI Actions. Think Auth0 for AI. Think really big.
Why This Is The Opportunity of a Lifetime<ul><li>
Founder-Market Fit : Our CEO previously founded Stormpath (acquired by Okta), where he created the first Authentication API for developers. He's done this before - and this time the market is 10x bigger. Our CTO led the vector database team at Redis, shipped 100+ LLM applications, and is a contributor to LangChain and LlamaIndex. He knows this space better than anyone.
</li><li>Dream Team : We've assembled authentication, integrations, distributed systems, and AI experts from Okta, Redis, Microsoft, Splunk, Ngrok, Google, Airbyte, Disney, and HPE who've built and founded multiple successful developer platforms.
</li><li>Perfect Timing : We're at the inflection point of AI adoption. The biggest problem isn't better models - it's connecting AI to real-world actions. That's us.</li><li>
Massive Market : We're building critical infrastructure for the biggest technological shift of our generation. Every AI app will need what we're building.</li><li>
Backed By The Best: Our investors have backed Databricks, Clickhouse, MongoDB, Perplexity, Cohere, ScaleAI, Confluent, Elastic, and Firebase. They see what we see - this is going to be huge.</li></ul>
The Challenge
Growth's charter is simple and hard: build champions for Arcade - agent builders who not only stick around, but advocate for Arcade&rsquo;s use at their company. That means our entire focus right now is on the earliest part of a developer&rsquo;s journey: getting someone from the moment they sign up to the moment they&rsquo;ve built something valuable, as fast as possible.
Arcade's product is powerful; developers who get to real usage love it. The opportunity is making that path effortless. We want every agent builder who signs up to go from zero to connected, authenticated, real-world tool calls as fast as possible, with nothing in their way.
You'll be the technical backbone of a small, agile Growth team. This is not a &quot;manage from the sidelines&quot; role; you'll be writing code across Go, Python, and TypeScript, shipping changes across Arcade's services and frontend, and unblocking team members. You'll own the developer experience from post-signup through activation: onboarding flows, MCP Gateway setup, auth friction, billing surfaces, docs, and the instrumentation to know whether any of it is working.
The team is early. You'll be shaping what Growth engineering looks like at Arcade from the surfaces it owns, to the experiments it runs, and the data infrastructure it needs. Growth owns both the full self-serve lifecycle - activation, retention, expansion, and monetization -and the measurement of success. You'll be building the foundation for all of it.
This role reports to the Engineering Manager for Tools and Growth. At a startup this size, you'll work across the entire company, partnering with the product manager on Tools and Growth, collaborating with Platform and Tools engineering on cross-service dependencies, and working directly with the Head of Marketing and CEO on what moves the needle. If you want broad impact and short feedback loops with the people making decisions, this is that role.
What You'll Do<ul><li>
Own the technical direction and delivery for Growth engineering: activation flows, onboarding, billing, docs, and developer experience surfaces across the product.</li><li>
Ship code daily across the stack - React frontend, Go and Python backend services - while making architecture decisions that hold up as the team scales.</li><li>
Lead a small team (1&ndash;2 engineers today, growing): unblock them, review their code, and set the technical bar. You'll be IC-heavy at first, coding alongside the team, and gradually shift toward planning, architecture, and technical direction as the team grows.</li><li>
Build the experimentation and measurement layer: feature flags, A/B tests, funnel instrumentation, and cohort dashboards so the team can run data-driven activation experiments.</li><li>
Reduce time-to-value by identifying and eliminating friction in the MCP Gateway setup, OAuth configuration, onboarding UX, and documentation.</li><li>
Navigate cross-team dependencies with Platform and Tools engineering: bring funnel data, propose interface changes, and ship contributions to services you don't own when it unblocks activation work.</li><li>
Build leverage by using automation and AI tooling to compress cycle times. Projects that take a week today should take a day next time.</li></ul>
Required Skills<ul><li>
7+ years of software engineering experience, with demonstrated technical leadership (tech lead, staff engineer, or similar - formal title matters less than the work).</li><li>
Deep backend and systems expertise - you've built and maintained production APIs, designed database migrations, worked with PostgreSQL, and debugged distributed systems. Go and/or Python experience strongly preferred.</li><li>
Architectural fluency across the full stack - you understand how services, frontends, and data layers stitch together to create a product experience. You can translate between backend infrastructure and user-facing surfaces.</li><li>
Frontend savvy - you may not be a frontend specialist, but you can read and contribute to a React codebase, give meaningful feedback on UI decisions, and collaborate effectively with frontend engineers.</li><li>
Experience working across several services operating independently - you've navigated shared libraries, cross-service dependencies, and coordinated deployments without breaking things.</li><li>
A growth or product engineering mindset - you think in funnels, activation metrics, and experiments, not just features. You've measured the impact of what you've shipped.</li><li>
Experience leading small teams - code review, technical mentorship, architectural decision-making, and the judgment to know when to build vs. when to cut scope.</li><li>
Comfort with ambiguity - pre-PMF, early team, narrow charter that will expand. You make good decisions with incomplete data.</li><li>
An insatiable desire to ship.</li></ul>
Bonus Points<ul><li>
Experience with OAuth/OIDC flows, identity systems, or auth infrastructure</li><li>
Familiarity with the MCP (Model Context Protocol) ecosystem or similar agent-tool protocols</li><li>
Experience building developer onboarding, activation funnels, or PLG infrastructure</li><li>
You've set up growth data infrastructure: PostHog, feature flags, funnel dashboards, behavioral cohorts</li><li>
Open-source contributions</li><li>
Experience at an early-stage startup, and you loved it</li></ul>
Notes:<ul><li>
This is an in-person role located in our San Francisco (SOMA) office.</li><li>
We are not able to sponsor visas to the United States at this time.</li></ul>
Join The Movement
We're not just building a product - we're leading a movement to transform AI from just chatbots to agents that can take actions against real systems. This is your chance to be at the forefront of that revolution.
If you want to look back in 5 years and say, &quot;I helped build that&quot;, then we want to talk to you. Ready to make AI actually useful? Apply Now</div>

Tech Lead - Growth

OpenAI

<div>
 
 About The Team
 
 
 
 Core backend engineering is central to delivering reliable, scalable, and performant AI-driven products. Our Backend teams span Search Infrastructure, Platform Engineering, Personalization, Ecosystems, Growth, and more&mdash;building services, data systems, and APIs that power ChatGPT&rsquo;s global footprint.
 
 
 
 About The Role
 
 
 
 We&rsquo;re hiring Backend Software Engineers to design and implement the services and infrastructure powering ChatGPT.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Architect, build, and improve scalable backend systems and APIs.
 </li>
 <li>
 Drive performance, reliability, and security across distributed services.
 </li>
 <li>
 Work closely with product, data science, and frontend teams.
 </li>
 <li>
 Implement data storage, retrieval, compute, and integration solutions.
 </li>
 <li>
 Participate in long-term architectural planning and technical design reviews.
 
 
 </li>
 </ul>
 
 You Might Thrive Here If You
 
 
 
 <ul>
 <li>
 Have strong experience with distributed systems, APIs, and backend languages (e.g., Go, Python, Rust, C++).
 </li>
 <li>
 Enjoy building resilient services that handle large scale and complexity.
 </li>
 <li>
 Are passionate about system design, reliability, and operational excellence.
 
 
 </li>
 </ul>
 We are open to hiring in San Fransisco, New York and Seattle
 
 
 
 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.
 
 
 Compensation Range: $185K - $385K
</div>

Backend Software Engineer, ChatGPT Engineering

<div>
 
 About The Team
 
 
 
 The Storage Infrastructure team builds and operates the storage foundation behind OpenAI&rsquo;s most demanding workloads. We work directly with research to design storage systems for rapidly evolving experiments, while also powering production at scale. We own the platform end to end: backend systems, user-facing services and APIs, and the control planes that manage how data is placed, moved, and retained over time.
 
 
 Our stack spans cloud and in-house object stores across very different workload profiles, from GPU-attached systems to dedicated storage hardware. We also build the federation layer that unifies these backends behind a simple interface and routes each workload to the right storage solution.
 
 
 
 About The Role
 
 
 
 You will help build the storage platform that powers OpenAI&rsquo;s research and production systems. This is a hands-on infrastructure role for engineers who want to work on deeply technical systems at scale and own them in production.
 
 
 You&rsquo;ll work across object storage, cross-region data movement, lifecycle management, and the federation layer that provides a unified interface across multiple backends. Much of our stack runs on Kubernetes, and we primarily build services in Rust.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Build and operate storage services that underpin OpenAI&rsquo;s research infrastructure
 </li>
 <li>
 Develop object storage systems across cloud and in-house environments
 </li>
 <li>
 Build systems for cross-region data movement, replication, and recovery
 </li>
 <li>
 Design lifecycle management capabilities that keep data durable, available, and cost-effective
 </li>
 <li>
 Evolve the federation layer that unifies multiple backend systems behind a simple interface
 </li>
 <li>
 Improve performance, reliability, and operational excellence across the platform
 </li>
 <li>
 Collaborate closely with researchers and infrastructure teams to support rapidly evolving workloads
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Have experience building or operating distributed systems in production
 </li>
 <li>
 Have worked on storage infrastructure, object stores, distributed filesystems, or other data-intensive backend systems
 </li>
 <li>
 Enjoy owning infrastructure end to end, including debugging and long-term reliability improvements
 </li>
 <li>
 Write strong production code, ideally in Rust or another systems-oriented language
 </li>
 <li>
 Are comfortable working with Kubernetes-based systems
 </li>
 <li>
 Have experience with tools such as Terraform, Grafana, or similar infrastructure and observability tooling
 
 
 </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.
 
 
 Compensation Range: $230K - $385K
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Software Engineer, Compute - Storage

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