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Artificial Intelligence Embedded Software Specialist
3 weeks ago
Expert Embedded Software Engineer Needed
We are seeking an experienced embedded software engineer to join our team. This is a challenging and rewarding opportunity to work on cutting-edge projects in the field of artificial intelligence and machine learning.
About the Role
The successful candidate will have a strong background in computer engineering, electrical engineering, or computer science, with a minimum of 3-8 years of experience in embedded software development.
Responsibilities
- Design, implement, and optimize embedded software solutions for AI/ML workloads on NVIDIA, Xilinx, and Microchip platforms.
- Develop and maintain Linux-based environments, including kernel modules, system tuning, cross-compilation, and deployment scripts.
- Collaborate with data science teams to enable deployment of ML models on resource-constrained hardware.
- Work with C, C++, and Python to build and optimize drivers, OS-level services, and low-level libraries for ML acceleration.
- Develop, test, and optimize Dockerized applications for AI/ML workloads, ensuring portability, efficiency, and compliance with partner satellite company requirements.
- Manage and maintain Edge AI development kits (NVIDIA Jetson, Xilinx platforms, etc.), ensuring smooth workflows for in-orbit simulation and testing.
- Leverage CUDA, cuDNN, TensorRT (NVIDIA) and Vitis AI / OpenCL (Xilinx) to accelerate workloads.
- Interface with satellite payload hardware and ground systems; debug integration issues across hardware, OS, and application layers.
- Develop pipelines for automated testing and deployment of embedded software builds.
- Maintain clear documentation of configurations, workflows, and deployment practices.
- Support partner satellite companies in deploying our dockerized products.
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.
Benefits
This is a remote-first position that offers the flexibility to work from anywhere while making a global impact. We are committed to providing a collaborative and supportive environment that fosters innovation and growth.
Complementary Skills
While not required, the following skills would be beneficial:
- Networking & Protocols: Knowledge of embedded networking (TCP/IP, UDP, MQTT, gRPC), especially for low-bandwidth or intermittent links.
- Security & Encryption: Familiarity with secure boot, encryption standards, and container security.
- Cross-Platform Development: Experience with ARM/x86 toolchains, cross-compilation, and Yocto/OpenEmbedded.
- Performance Optimization: Ability to profile embedded workloads and optimize for power, latency, and throughput constraints.
Success Metrics
- Reliable, efficient Dockerized builds delivered to partner satellites.
- Smooth operation and maintenance of NVIDIA/Xilinx dev kits for AI/ML use cases.
- Reduced latency and improved efficiency of ML models on embedded devices.
