Have at least 5 years of experience building distributed systems infrastructure through design and implementation.
Have written production systems in Rust or another systems programming language such as C, C++, or Go at the systems level.
Understand cluster schedulers, databases, and runtimes at the implementation level through having built or contributed to them.
Be able to autonomously lead, design, and build fault-tolerant systems.
Have experience with systems-level performance challenges, including memory allocation, concurrency primitives, and network protocols.
Be willing to participate in the product development process from customer research through implementation.
Be able to work self-sufficiently in a distributed team across the United States and Europe and follow through on commitments.
Have familiarity with Rust, Python, and FoundationDB for day-to-day work, and enough understanding of TypeScript, Go, and Terraform to work on parts of backend infrastructure.
Responsibilities
Build and evolve the durable application runtime to support advanced data processing and machine learning workflows.
Design and implement core cluster scheduler components to improve resource utilization, reduce costs, and maximize performance.
Write systems-level code in Rust for the data plane and execution engine.
Design and build new capabilities for the software development kits.
Work with the engineering team to take ideas through to polished products.
Our core mission at Tensorlake is to unlock your data wherever it is. We believe that people should have access to the best tools to parse, extract, and manipulate data, run data applications, so they can spend more time putting knowledge into action.
We’re looking for engineers who want to build the operating system for AI Data Applications and Workflows.
About the role
We're looking for experienced distributed systems engineers to build the core infrastructure for our durable application runtime. This is a systems programming role—you'll be writing the schedulers, runtimes, and data plane components that other engineers build applications on top of. Some of the things you'll work on in this role
Build and evolve our durable application runtime to support advanced data processing and machine learning workflows
Design and implement core components of our cluster scheduler to improve resource utilization, reduce costs, and maximize performance
Write systems-level code in Rust for our data plane and execution engine
Design and build new capabilities for our SDKs
Work closely with the rest of the engineering team to take something from an idea to a polished product
About you
You have 5+ years of experience building distributed systems infrastructure—not configuring or operating it, but designing and implementing it from scratch
You've written production systems in Rust or other systems programming languages (C, C++, Go at the systems level)
You understand how cluster schedulers, databases, and runtimes work at the implementation level because you've built or contributed to them
You can autonomously lead, design, and build fault-tolerant systems
You enjoy diving deep into performance challenges at the systems level—memory allocation, concurrency primitives, network protocols
You want to be part of the entire product development process, from customer research to implementation
This role is not a fit if...
Your experience is primarily in DevOps, SRE, or platform operations (Terraform, Kubernetes administration, CI/CD pipelines)
You're looking for a role focused on automation, tooling, or infrastructure-as-code rather than building core systems
You haven't written substantial code in a systems programming language
Things you should know
We’re a startup, and we expect people to be able to wear multiple hats at any given time.
We’re distributed across the US and Europe, and everyone is self-sufficient to get work done even when nobody else is around.
We do not expect people to work all the time, but we expect everyone to follow up on their commitments.
We’re a small team with high ownership and we’re passionate about what we do.
Our tech stack is somehow diverse. You’d be mostly working with Rust, Python and FoundationDB on your day to day. But you’ll also need to understand TypeScript, Go, and Terraform enough to touch parts of our backend infrastructure.