Senior Software Engineer - Generalist

The role

You will build features that bring the product together by working across application, device, and cloud boundaries. You will take ideas through design and implementation to create a coherent experience.

What you will do

• Deliver complete features spanning components like recording configuration, session metadata, and end-to-end recording integrity.
• Collaborate with embedded, desktop, and cloud engineers to design clear interfaces and cohesive workflows.
• Build shared libraries, simulators, replay tools, and development utilities.
• Solve system-wide design challenges in state, data flow, performance, and reliability.
• Turn open-ended ideas into tractable implementation steps using prototypes and feedback.
• Improve development and release workflows using agentic tooling.

Required qualifications

• Degree in computer science, electrical engineering, computer engineering, or a related field.
• At least five years of relevant professional experience.
• Experienced shipping substantial software with depth in at least one area such as systems, desktop applications, backend services, or data infrastructure.
• Comfortable working across component boundaries and learning an unfamiliar codebase or technology.
• Experienced designing APIs, reasoning about data and state across distributed systems, and writing tests that exercise meaningful behavior.
• Able to break an ambiguous problem into manageable pieces and explain the tradeoffs behind your approach.
• Motivated by understanding how a whole product works.

Nice to have

• Experience with modern C++, Python, Qt/QML, embedded Linux, or cloud services.
• Complementary systems and application experience with Rust, Go, or TypeScript.
• Connected services through gRPC, Protocol Buffers (Protobuf), REST APIs, WebSockets, or messaging systems such as MQTT, DDS, or ZeroMQ.
• Worked on products combining physical hardware and software.
• Know scientific computing or data-intensive applications, including NumPy, SciPy, pandas, HDF5, Zarr, or relational databases such as PostgreSQL and MySQL.
• Built integration tests, hardware simulators, or developer tooling with pytest, GoogleTest, Catch2, CMake, or Docker.
• Explored AI-assisted development and agentic workflows, or built continuous integration and delivery (CI/CD) with GitHub Actions, GitLab CI, or Jenkins.
• Connected products to cloud services on AWS, Google Cloud, or Azure, or helped a small team bring a new product to users.

About the company

Orbit is a team of engineers, neuroscientists, and designers working to deepen understanding of the human brain. They are building a wearable brain-computer interface and models that decode emotion.