Embedded Software Engineer

We're looking for a talented Embedded Software Engineer to join our team. This role offers the opportunity to work on cutting-edge AI/ML projects, leveraging your skills in embedded systems and software development.

About the Role:

As an Embedded Software Engineer, you will design, implement, and optimize embedded software solutions for AI/ML workloads on NVIDIA, Xilinx, and Microchip platforms. You will work under the Head of Engineering and the CTO, contributing to managing development kits and system integration, as well as developing the embedded software stack that powers our edge intelligence solutions.

Your Responsibilities:

• LINUX EXPERTISE: Configure and manage Linux environments (Ubuntu and custom distributions), including kernel modules, system tuning, cross-compilation, and deployment scripts.
• AI/ML OPTIMIZATION AND TESTING ON THE EDGE: Integrate ML models into embedded systems; collaborate with Data Science teams to enable deployment on resource-constrained hardware.
• LOW-LEVEL ENGINEERING: Work with C, C++, and Python to build and optimize drivers, OS-level services, and low-level libraries for ML acceleration.
• CONTAINERIZATION: Develop, test, and optimize Dockerized applications for AI/ML workloads, ensuring portability, efficiency, and compliance with partner satellite company requirements.
• EMBEDDED SYSTEMS OWNERSHIP: Manage and maintain Edge AI development kits (NVIDIA Jetson, Xilinx platforms, etc.), ensuring smooth workflows for in-orbit simulation and testing.
• HARDWARE ACCELERATION: Leverage CUDA, cuDNN, TensorRT (NVIDIA) and Vitis AI / OpenCL (Xilinx) to accelerate workloads.
• SYS TEMS INTEGRATION: Interface with satellite payload hardware and ground systems; debug integration issues across hardware, OS, and application layers.
• CI/CD FOR EDGE: Develop pipelines for automated testing and deployment of embedded software builds.
• DOCUMENTATION & SUPPORT: Maintain clear documentation of configurations, workflows, and deployment practices; support partner satellite companies in deploying our dockerized products.
• VERSION CONTROL & COLLABORATION: Git/GitHub, code review best practices, and working in distributed development teams.

About Us:

We are a team of ambitious engineers, scientists, and product leaders building breakthrough technology. Our remote-first culture offers flexibility while making a global impact. We believe in passion, purpose, risk-taking, and willingness to learn to make a positive impact on the world.

Benefits:

• You'll be at the cutting edge of Edge AI in space, shaping the future of real-time satellite intelligence.
• You'll work with modern embedded platforms (NVIDIA, Xilinx, ARM, RISC-V) in one of the most exciting application areas: space-based AI/ML.
• You'll enjoy the flexibility of a remote-first culture while making a global impact.

Requirements:

• Bachelor's/Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent.
• 3–8 years of hands-on experience in embedded software development.
• Proficiency in C, C++, and Python.
• Deep knowledge of Linux (system internals, drivers, kernel tuning).
• Proven experience with Docker and containerized workflows.
• Experience with NVIDIA Jetson, CUDA, TensorRT, and Xilinx Vitis AI / OpenCL.
• Familiarity with edge AI/ML workloads, model deployment, and performance optimization.
• Strong debugging, problem-solving, and communication skills.
• Ability to work independently in a remote-first environment, coordinating across time zones.