
Embedded AI Software Engineer
1 day ago
Embedded AI Software Engineer (Space Focus)
This is a challenging opportunity for an Embedded AI Software Engineer with a strong focus on space-based technologies to join our team.
We are looking for someone who thrives at the intersection of AI/ML, embedded systems, and containerized software delivery. As an Embedded AI Software Engineer, you will design, implement, and optimize embedded software solutions for AI/ML workloads on NVIDIA, Xilinx, and Microchip platforms.
Key Responsibilities:
- Linux Expertise: Configure and manage Linux environments, 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.
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.
About Us:
At [Company Name], we believe that with passion, purpose, risk taking, and willingness to learn, we can make a positive impact on the world.
Our vision is to turn satellites into autonomous, intelligent systems that don't just capture data, but interpret it instantly.
Join us in this exciting journey to shape the future of real-time satellite intelligence.
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