
AI/ML Embedded Software Developer
4 days ago
Job Title: Embedded AI/ML Software Engineer
About the RoleWe are seeking an experienced Embedded AI/ML Software Engineer to join our team. As a key member of our engineering team, you will be responsible for designing, implementing, and optimizing embedded software solutions for AI/ML workloads on NVIDIA, Xilinx, and Microchip platforms.
Your primary focus will be on building and maintaining Linux-based environments, writing integration libraries, and enabling containerized deployment of applications on constrained edge devices. You will work closely with our Head of Engineering and CTO to develop the embedded software stack that powers our edge intelligence solutions in space.
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.
- Systems 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.
- 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.
We believe that passion, purpose, risk taking, and willingness to learn can make a positive impact on the world. Our mission is to re-imagine how satellites process and deliver intelligence from orbit. We specialize in satellite edge computing, developing advanced solutions that process data directly on board, enabling real-time analysis, rapid decision-making, and a significant reduction in data downlink needs.
We offer a flexible, remote-first culture while making a global impact. If you are a mission-driven, space enthusiast passionate about edge AI/ML, we encourage you to apply.
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