Software Engineer, Applications & Systems
About The Position
Merge Labs is a frontier research lab with the mission of bridging biological and artificial intelligence to maximize human ability, agency and experience. We’re pursuing this goal by developing fundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and accessible for anyone to use. Our software engineers build the tools that let scientists and engineers run experiments, work with custom instruments and turn data into useful results. We work across applications, device software, data systems and infrastructure, with short feedback loops between the people building the tools and the people using them. We are looking for a generalist software engineer who enjoys building useful applications and following a problem into the rest of the stack. A significant part of your work will be building experimental applications and workflows in close partnership with our SDK engineer. You will turn instrument APIs into software that users can configure, run, understand and trust. You will also contribute where the team needs implementation capacity: an API, data integration, a test harness, a deployment improvement or a performance issue. You will have clear project ownership and support from experienced engineers while developing breadth across our systems.
Requirements
- Strong coding and debugging fundamentals and examples of software you completed and helped others use.
- Experience building applications, services or tools, with the curiosity to understand how the adjacent layers work.
- Comfort using APIs, writing tests and collaborating through version control and code review.
- A practical approach to learning unfamiliar systems and asking for help early.
- Care for clear user workflows, trustworthy data and understandable failure behavior.
- Interest in broad startup responsibilities alongside concrete, achievable project ownership.
Nice To Haves
- Scientific software, robotics, instrumentation, imaging or lab automation.
- Python, C++, Rust, desktop applications or interactive visualization.
- Asynchronous systems, data pipelines, offline deployment or hardware integration.
Responsibilities
- Build applications and interactive tools for configuring experiments, monitoring execution, visualizing results and capturing metadata.
- Pair directly with the SDK engineer to integrate instrument capabilities and improve the interfaces that applications and scripts share.
- Keep reusable experiment logic separate from presentation code so workflows can support both interactive use and automation.
- Implement practical failure handling, cancellation, recovery, logging and testing.
- Connect application outputs to data services with clear metadata and version information.
- Contribute to backend services, data integration, developer tooling, CI, packaging and other parts of the stack as priorities require.
- Diagnose problems beyond the UI and work with specialists on performance, concurrency, native code or hardware interfaces.
- Work directly with scientists and engineers to understand a workflow, ship a useful first version and improve it through use.
- Own your changes through review, release, documentation and follow-up.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
