Software Developer – Linux Device & Middle Layer Drivers

Your mission

We are looking for a skilled Tool Box Software Developer to join our team building software stacks for cutting-edge photonic compute accelerators. In this role, you will design, develop, and maintain Linux device drivers and middle-layer (middleware) drivers — what we call the “Tool Box” — that enable smooth, efficient communication between the hardware and higher-level software frameworks. Your work will be critical in unlocking the full potential of our photonic hardware for AI and compute-intensive applications.

• Develop, test, and maintain Linux device drivers for our native computing units.
• Implement and optimize middle-layer drivers to provide APIs and abstraction layers for upper-level applications and AI frameworks.
• Collaborate closely with hardware engineers to understand hardware interfaces and constraints.
• Integrate drivers with operating systems, ensuring stability, performance, and security.
• Troubleshoot and debug driver issues using tools like kernel debuggers, logic analyzers, and profiling tools.
• Support integration and validation of drivers in real-world systems and development environments.
• Stay current with Linux kernel developments and device driver best practices.
• Work with cross-functional teams on feature development and roadmap planning.

Your profile

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related technical discipline.
• Strong experience developing Linux kernel device drivers.
• Solid understanding of Linux kernel internals, device driver models, and hardware-software interaction.
• Experience developing middleware or abstraction layers for hardware devices.
• Proficiency in C, C++ and Rust programming, especially low-level systems programming.
• Ability to work in a collaborative, fast-paced development environment.
• Excellent problem-solving and communication skills.

• In-depth knowledge of scripting programming languages like Python
• Familiarity with hardware interfaces such as PCIe, I2C, SPI, DMA, interrupts.
• Prior experience with machine learning or numerical optimization
• Familiarity with high-performance computing or GPU computing and languages like CUDA
• Familiarity with hardware accelerators like TPUs or ASICs

Why us?

• Make growing demand in compute and sustainability go hand in hand
• Work on leading edge photonic AI acceleration technologies.
• Collaborative and innovative work environment.
• Own your work from day one and fast-track your professional growth.
• Work alongside a passionate, international, cross-functional team of experts.
• Collaborate closely with the company’s founders and core leadership team.