C++ Edge & ML Engineer Salary Banding : £50,000 – £65,000 per annum Contract : Full-Time, Permanent Team : R&D Squad (Hawkworks) Working Location : Hybrid, 2 Days a week in the office, minimum Office Locations : Basingstoke, Bristol, London Join Our Team as a Software Engineer in our R&D Hawkworks squad at Hawk-Eye Innovations We're looking for an experienced C++ software engineer with ML knowledge to initially help port, develop, and optimise machine learning applications for our ARM-based edge computing platform, primarily the NVIDIA Jetson Orin NX. The initial focus is on ensuring our existing ML models and C++ applications run efficiently and reliably in the ARM/Linux environment. Following this, the role will involve broad R&D work to advance our on-device ML capabilities, requiring a hands-on approach for on-site testing and system validation. What You'll Be Doing Port and adapt existing x86 C++ applications and ML inference pipelines to run natively and efficiently on ARM64 architecture. Develop, maintain, and optimise C++ applications on NVIDIA Jetson devices to execute ML models and manage system resources. Collaborate with the ML and Research teams to integrate and optimise new models for the edge environment. Create robust, cross-platform code and establish best practices for targeting heterogeneous hardware (x86/ARM). Travel to test sites to conduct hands-on system validation, performance profiling, and real-world data collection. What We're Looking For Professional C++ development in Linux environments. Understand the broader requirements for cross-platform porting, specifically from x86 to ARM architecture. Hands-on programming experience with embedded systems, such as NVIDIA Jetson, Arduino, or similar platforms. Practical knowledge of system-level programming, multi-threading, and performance optimisation. Familiarity with debugging live systems via system daemons/logs in addition to IDE. Enthusiasm and willingness to go on-site for system testing and debugging. Bonus Points For Familiarity with NVIDIA JetPack SDK and GPU acceleration (CUDA, TensorRT). Experience with Docker or other containerisation technologies for consistent edge deployment. Background in optimising ML model inference on edge devices. Understanding of network programming for device-to-device or device-to-cloud communication. Benefits & Perks • Annual Leave: 25 days plus 8 public holidays • Enhanced Pension Scheme: 5% matching • Flexible Working: Hybrid model (2 days in the office per week) • Wellness: Complimentary Unmind app, onsite gym (Basingstoke) • Exclusive Perks: Access to sporting events and tickets, Sony Group Company discounts Equal Opportunity Employer We’re committed to creating an inclusive and diverse workplace. Everyone is treated fairly, regardless of gender, race, religion, age, disability, or background. We want you to be your best and truest self here. Apply Today If you’re excited by the idea of solving real-world problems at scale and want to make a difference in the world of sports tech, we’d love to hear from you.