AI Embedded Software Engineer

AI Embedded Software Engineer

Spire

Glasgow or Harwell, United Kingdom

We are seeking an experienced AI Embedded Software Engineer to join our Advanced Concepts Group. The successful candidate will lead R&D on-board AI/ML efforts, focusing on deploying cutting-edge artificial intelligence and machine learning solutions on power-constrained devices aboard our nanosatellites. This role reports directly to the Senior Director of Research and Development.

Responsibilities:

• Lead research and development of AI/ML algorithms optimized for deployment on power-constrained nanosatellite platforms
• Design and implement embedded AI/ML inference engines for real-time on-orbit decision making
• Develop and optimize neural network models for edge computing applications in space environments
• Integrate AI/ML capabilities into existing satellite firmware and control systems
• Conduct processor-in-the-loop (PIL) and hardware-in-the-loop (HIL) testing to qualify AI/ML software implementations
• Research and implement novel AI/ML techniques for autonomous satellite operations and data processing
• Collaborate with hardware teams to define AI/ML processing requirements for future nanosatellite designs
• Develop quantization and compression techniques to reduce model size and power consumption
• Resolve on-orbit and on-ground issues related to AI/ML embedded systems
• Support AI/ML system integration with other satellite components
• Write and maintain technical documentation and research publications
• Mentor junior engineers and contribute to the company's AI/ML knowledge base

Required Qualifications:

• Master's degree in Computer Science, Electrical Engineering, Machine Learning, or related field
• 4+ years of experience in embedded systems development with focus on AI/ML applications
• Proficiency in Embedded programming for resource-constrained environments
• Strong background in machine learning frameworks (TensorFlow Lite, PyTorch Mobile, ONNX Runtime)
• Experience with AI/ML model optimization techniques (quantization, pruning, knowledge distillation)
• Capability with Python for AI/ML development and scripting languages like Bash
• Knowledge of edge AI accelerators and specialized AI hardware (NPUs, DSPs)
• Strong mathematical foundation in linear algebra, statistics, and optimization
• Experience with version control systems (e.g., Git)
• Experience developing on Linux (Ubuntu)
• Excellent communication and teamwork abilities
• Ability to work in a fast-paced R&D environment with changing requirements

Preferred Qualifications:

• Ph.D. in Machine Learning, Computer Science, or related field
• Experience with space systems, satellite technology, or aerospace applications
• Knowledge of federated learning and distributed AI systems
• Experience with neuromorphic computing and spiking neural networks
• Familiarity with radiation-hardened computing and space-qualified hardware
• Experience writing Rust for resource-constrained environments (embedded Linux)
• Experience with embedded Linux and containerized AI workloads
• Knowledge of sensor fusion, and autonomous systems
• Publication record in AI/ML conferences or journals
• Experience with FPGA-based AI acceleration
• Familiarity working to coding standards and using static analysis tools