lavori da Aerospace in località Regno Unito

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 nanosatellites. This role reports directly to the Senior Director of Research and Development.

• 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

• 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 C/C++ 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
• Experience with real-time operating systems (RTOS), specifically FreeRTOS
• 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

• 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

• AI/ML Frameworks: TensorFlow Lite, PyTorch Mobile, ONNX Runtime, OpenVINO
• Edge AI Tools: TensorRT, Neural Network Compiler Stack (TVM), Glow
• FreeRTOS for real-time operating system implementation
• GNU ARM Embedded Toolchain and specialized AI compiler toolchains
• GDB and AI-specific debugging tools for embedded inference engines
• Experience with debugging techniques for AI systems without JTAG access
• Proficiency in processor-in-the-loop (PIL) and hardware-in-the-loop (HIL) testing methodologies
• Experience with AI model validation and verification techniques
• Experience working with Microcontrollers and AI-optimized processors
• CUDA, ROCm or SYCL
• Version control using Git and ML experiment tracking tools (MLflow, Weights & Biases)
• AI development environments and Jupyter notebooks for prototyping

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying.

Spire uses a standard applicant tracking process.

Global Perks: Name Your Satellite Program (NYSP); Launch Attendance; Generous Time Off Policy; Education Assistance Program; Employee Assistance Program (EAP); Employee Stock Purchase Program (ESPP); Family Leave; Fitness Reimbursement; Employee Referral Program; Healthy snacks & beverages in every office.

About Spire: Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its data and algorithms support maritime, aviation, and weather tracking with a global ground station network and 24/7 operations for real-time global coverage.

Spire is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are an equal opportunity employer and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status.

To help maintain a safe and secure workplace for Spire employees, all candidates who receive a conditional offer will complete a background check. This may include criminal history and employment verification. Applying from California? Please review the CCPA Applicant Privacy Policy. Applying from the EU? Please review Spire's Privacy Policy. Please note: Communication regarding your application may come from Spire email domains or the Candidate Scheduling tool.