Software Engineer, Database Systems
Backend Engineer · Senior · Full Time
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Role
What you'll do.
OpenAI's Database Systems team is seeking a senior software engineer to work on Rockset, their high-performance real-time search, analytics, and vector database that powers vector search and RAG across all OpenAI products. The role involves building distributed systems, performance optimization in C++, and scaling database infrastructure for exponential growth.
Responsibilities
- Database Engine Development: Design, build, and optimize the core Rockset database engine written in C++
- Distributed Systems Architecture: Design and implement high-performance distributed database systems at scale
- Performance Optimization: Identify and resolve performance bottlenecks to scale infrastructure by orders of magnitude
- Technical Leadership: Define long-term technical direction and guide system evolution for database infrastructure
- Cross-functional Collaboration: Partner with product, engineering, and research teams to deliver scalable and reliable infrastructure
- Production Issue Resolution: Debug and resolve complex production issues across the entire database stack
- System Reliability: Contribute to incident response, postmortems, and establish best practices for system reliability
- Query Engine Enhancement: Drive improvements across ingestion, query execution, indexing, and storage components
- Infrastructure Scaling: Scale online database reliability and throughput as usage grows exponentially
- Vector Search Implementation: Optimize vector search and retrieval augmented generation (RAG) capabilities
Qualifications
What we look for.
Technical
Systems Programming
Strong proficiency in C++ for core database engine development
Distributed Systems
Extensive experience building and scaling distributed systems at enterprise scale
Cloud Platforms
Fluency in AWS, GCP, or Azure cloud environments
Infrastructure as Code
Experience with Terraform or similar IaC tools
Container Orchestration
Production experience with Kubernetes or other orchestration systems
Linux Systems
Deep understanding of Linux systems administration and optimization
Observability Stack
Experience with Prometheus, Grafana, and modern monitoring systems
CI/CD Pipeline
Hands-on experience with continuous integration and deployment pipelines
Education
Bachelor's Degree
Bachelor's degree in Computer Science, Engineering, or related technical field preferred
Advanced Degree
Master's degree in Computer Science or equivalent experience in distributed systems
Experience
Industry Experience
4+ years of relevant software engineering experience in systems programming
Technical Leadership
2+ years leading large-scale, complex projects or teams as engineer or tech lead
Distributed Systems
Proven track record building and scaling distributed systems with focus on performance and reliability
Database Internals
Experience with storage engines, indexing, query processing, or database systems preferred
Production Operations
Experience operating production clusters and handling high-throughput systems
Skills
Required
C++ Programming
Expert-level proficiency in C++ for systems programming and performance optimization
Distributed Systems
Deep understanding of distributed system design patterns, consistency models, and scalability
Performance Optimization
Experience identifying and resolving performance bottlenecks in high-throughput systems
System Architecture
Ability to design scalable, reliable, and maintainable system architectures
Cloud Infrastructure
Hands-on experience with AWS, GCP, or Azure cloud platforms
Container Orchestration
Production experience with Kubernetes and container management
Linux Systems
Strong Linux systems administration and troubleshooting skills
Preferred
Database Internals
Nice to haveKnowledge of storage engines, indexing algorithms, and query optimization
Vector Databases
Nice to haveExperience with vector search, embeddings, and similarity algorithms
Real-time Systems
Nice to haveUnderstanding of low-latency, real-time data processing requirements
Machine Learning Infrastructure
Nice to haveExperience supporting ML workloads and model serving infrastructure
Go Programming
Nice to haveProficiency in Go for microservices and distributed system components
Rust Programming
Nice to haveKnowledge of Rust for memory-safe systems programming
Stream Processing
Nice to haveExperience with Apache Kafka, Apache Flink, or similar streaming platforms
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 230,000 – 385,000
Equity·Stock options
Benefits
Equity Compensation
Significant equity stake in one of the world's leading AI companies
Health Insurance
Comprehensive medical, dental, and vision insurance coverage
Retirement Benefits
401(k) retirement savings plan with company matching contributions
Flexible Time Off
Unlimited PTO policy for work-life balance and personal well-being
Parental Leave
Generous paid parental leave for new parents
Professional Development
Learning and development budget for conferences, courses, and skill enhancement
Remote Work Support
Home office setup stipend and remote work flexibility
Cutting-edge Technology
Access to latest hardware, software, and AI research tools
Innovation Time
Dedicated time for exploration and innovation projects
Mental Health Support
Mental health resources and counseling services
Process
Interview steps.
- 01
Application Review
Initial screening of resume, portfolio, and technical background by recruitment team
- 02
Recruiter Phone Screen
30-minute conversation about background, interest in OpenAI, and role alignment
- 03
Technical Phone Interview
60-minute technical discussion covering systems design, C++ programming, and distributed systems concepts
- 04
System Design Interview
90-minute deep-dive into designing large-scale database systems, discussing architecture, scalability, and performance trade-offs
- 05
Coding Interview
60-minute hands-on coding session focusing on algorithms, data structures, and systems programming in C++
- 06
Behavioral Interview
45-minute discussion about leadership experience, collaboration, and cultural fit with OpenAI values
- 07
Final Round - Onsite
Half-day onsite (or virtual) interviews including technical deep-dives, team interactions, and leadership discussions
- 08
Reference Check
Verification of work history and technical capabilities with former colleagues and managers
Full posting
Original listing.
About the Team:
The Database Systems team specializes in high-performance distributed databases. Our team built Rockset, the real-time search, analytics, and vector database that powers all vector search and retrieval augmented generation (RAG) at OpenAI. In addition to retrieval, as an online database, Rockset powers core functionality across all of OpenAI's product lines and many critical internal use cases.
About the Role:
We are looking for engineers passionate about distributed systems, close-to-the-metal performance optimization (our core engine is written in C++), and building scalable database infrastructure from the ground up. As an engineer on the Database Systems team, you'll contribute to the core database engine, driving improvements across ingestion, query execution, indexing, and storage. You'll partner with teams across OpenAI to unlock new product capabilities and help scale online database reliability and throughput as usage grows by orders of magnitude.
In this role you will:
Design, build, and operate high-performance distributed systems
Identify and resolve performance bottlenecks to scale infrastructure to the next order of magnitude
Define long-term technical direction and guide system evolution
Collaborate with product, engineering, and research teams to deliver scalable and reliable infrastructure
Dig deep into complex production issues across the stack
Contribute to incident response, postmortems, and best practices for system reliability
You might thrive in this role if you:
Have significant experience building, scaling, and optimizing distributed systems at scale
Are curious about database internals, storage engines, or low-latency query systems
Enjoy debugging challenging performance issues in complex, high-throughput systems
Have experience operating production clusters at scale (e.g., Kubernetes or other orchestration systems)
Think rigorously about scalability, correctness, and reliability
Thrive in fast-paced environments with high autonomy and impact
Qualifications:
4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech lead
Experience with distributed systems at scale, with a strong focus on performance, reliability, and scalability
Strong communication skills and ability to collaborate across highly technical and cross-functional teams
Proficiency in a systems programming language such as C++ (our core engine is written in C++) is strongly preferred
Fluency in cloud environments (AWS, GCP, Azure) and IaC tools (Terraform or similar)
Experience with Linux systems, CI/CD pipelines, and modern observability stacks (Prometheus, Grafana, etc.)
Domain knowledge in areas such as databases, data systems, storage engines, indexing, and query processing is a plus but not required
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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