Software Engineer - C++ Edge & ML
Job in
Greater London, London, Greater London, EC1A, England, UK
Listed on 2026-01-13
Listing for:
Hawk-Eye Innovations
Part Time
position Listed on 2026-01-13
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer, Software Engineer, C++ Developer
Job Description & How to Apply Below
Software Engineer - C++ Edge & ML
Hawk-Eye Innovations is looking for an experienced C++ software engineer with machine‑learning knowledge to help port, develop, and optimise machine‑learning applications for our ARM‑based edge computing platform, primarily the NVIDIA Jetson Orin NX.
Details- 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
- Port and adapt existing x86 C++ applications and ML inference pipelines to run natively and efficiently on ARM
64 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.
- Understanding of 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 Jet Pack SDK and GPU acceleration (CUDA, Tensor
RT). - Experience with Docker or other containerisation technologies for consistent edge deployment.
- Background in optimisation of 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.
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