Software Engineer - C++ Edge & ML
Posted 15 hours 41 minutes ago by Hawk-Eye Innovations (HEI)
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 DoingPort 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.
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.
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.
• 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
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 TodayIf 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.