We Are

At RelationalAI, we are enabling the future of data-centric systems that learn, reason, and predict, built on our cloud-native relational knowledge graph management system. We are bringing together a global team of exceptional people who inspire and respect one another to achieve our mission.

We are intellectually curious, with problem-solving mindsets and a proven track record of delivering results. We value the ability to learn, grow, and respond to an ever-changing landscape of challenges and opportunities as much as we value past experience.

RelationalAI is a remote-first company that has been operating with a distributed team since day one.  We are based on six continents, support team members wherever they live, and are fluent in the tools and processes of distributed and often asynchronous work.

Database System Engineer

As a database system engineer, you will work as part of the system team, which is responsible for building the database kernel backing our Relational Knowledge Graph Management System (RKGMS).

For example, we work on

  • management of data across the cache hierarchy of cloud object storage, local disk, and memory while pushing the limits of the ability to retain in-memory performance. The RAI memory management layer is based on the latest database system research results.
  • design and implementation of data structures that are backed by cloud storage, versioned, write-optimized, and support our advanced join algorithms.
  • design and implementation of the dataflow runtime which powers our incremental compilation and view maintenance capabilities
  • support for fully ACID transaction management using a design based on immutability
  • building state of the art query evaluation that supports all of our computationally challenging workloads (graph analytics, reasoning, machine learning, and mathematical optimization). The query evaluation components need to carefully balance latency and throughput requirements.
  • parallelization and distribution of all these components

Our RKGMS is written in Julia, an exciting new language for building dynamic, high-performance systems. Julia supports writing very high-level code, but also has great opportunities for tuning code all the way down to the generated LLVM code. Sometimes, our system team delves into the depths of Julia itself to work on tooling or improvements to its C codebase (for example to understand workload characteristics and identify bottlenecks).

What You Will Do

On our quickly growing team, we are looking for people excited to help design and work on these database management system components.

As a part of the team, you will...

  • ...work on novel system designs that enable our unique value proposition
  • ...learn about and contribute to our system implementation and how trade-offs on the language side impact it
  • ...interact with our research network at the frontier of database research
  • ...get exposure to many parts of the system. Our team is still small, so you'll be able to contribute to many components instead of getting pigeon-holed into one.
  • ...make our system scale up and out, tackling exciting challenges around concurrency and distribution
  • ...tune code, reduce allocations, and write tight hot loops
  • ...have the option to work on Julia internals and new Julia features, contributing changes to the language itself

We are hiring engineers with a range of technical skills. Whether you are a seasoned database engineer or researcher, a distributed systems expert, a low-level systems engineer, HPC aficionado, or have worked on implementing Julia, we'd love to hear from you.


There are three absolute must-haves: you're excited to work on system-level code and our RKGMS full of novel design decisions; you're curious and enjoy learning; you’re a team player — you thrive in a collaborative environment where customer success is more important than individual success.

Other than that, there is no single prototype of an ideal team member. We are building a team that amplifies each other’s strengths, and complements each other’s weaknesses.

Example qualifications include:

  • You're an engineer with experience in database implementation, systems engineering, distributed systems, or Julia. You're looking to take on leadership and mentorship roles, or you prefer to focus fully on interesting problems and deep technical challenges — we appreciate both!
  • You have a research background and want to dive into industry. You're up-to-date with all the latest papers and would love to find a place where you can explore these novel designs in action in a collaborative and encouraging environment.
  • You feel right at home when it comes to low-level code, love pondering an optimal cache eviction strategy that extends into the coldest of storage layers, or the worst-case complexity of the next cool write-optimized data structure.
  • Nothing gives you daily energy like thinking about a tricky race condition (and how to avoid them in the first place), or making a distributed system work.
  • You are a performance enthusiast. You excel at profiling and optimization, and you enjoy diving into unknown code to chase down and fix performance problems and regressions. If necessary, you don't hesitate to stare at some native code to figure out why your loop isn't as tight as you want it to be.
  • You've worked on Julia's implementation and would like to help grow Julia into a language that is great for both data science and low-level systems engineering .

If this sounds like something you would enjoy, please apply. We can't wait to hear from you!

Why RelationalAI

RelationalAI is committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of our team. We are driven by curiosity, value innovation, and help each other to succeed and to grow. We take the well-being of our colleagues seriously, and offer flexible working hours so each individual can find a healthy balance that affords them a productive, happy life wherever they choose to live.

Country Hiring Guidelines:

RelationalAI hires around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements.

Because of this, understanding location & visa support helps us better prepare to onboard our colleagues.

Our People Operations team can help answer any questions about location after starting the recruitment process.


Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policy here.

California residents applying for positions at RelationalAI can see our Privacy Policy here


RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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