Senior Software Engineer

The role sits at the intersection of software engineering, applied AI, embedded systems, and computational imaging. You will build the software stack that bridges high-speed FPGA pipelines with real-time AI inference and an intuitive user interface deployed to industrial customers. You will work closely with FPGA/embedded engineers, tomography engineers/scientists and ML researchers to bring our multi-modal tomography system from prototype to a market-ready industrial instrument., a. Edge AI & Algorithm Development and Deployment

• Implement, optimise, and deploy AI/ML models for real-time sensing and tomography reconstruction.
• Convert research-grade algorithms (Python/NumPy/PyTorch/TensorFlow) into efficient production codes (C++/Rust/Python).
• Develop novel multi-modal fusion pipelines for UST/MIT/ECT data streams.

b. FPGA / Embedded Systems Integration

• Interface with the FPGA and Algorithm Engineers to advance high-throughput data acquisition, processing, visualisation and management.
• Collaborate with FPGA engineers to integrate:
• AXI-stream data pipelines
• DMA transfer to ARM cores
• Custom accelerators (DSP slices, Vitis kernels, HLS modules)
• Implement deterministic real-time data ingestion, buffering, synchronisation, and pre-processing.

c. Real-Time Signal Processing & Reconstruction

• Collaborate with algorithm engineers for:
• time-domain and frequency-domain processing
• forward/inverse modelling and image reconstruction
• Develop GPU/FPGA-accelerated or SIMD-optimised algorithms where required.

d. Software Architecture & Productisation

• Architect modular, scalable software for hardware-in-the-loop systems.
• Build robust APIs between embedded firmware, host software for Edge AI application with UI and cloud APIs.
• Develop automated testing, diagnostics, and reliability frameworks.

e. User Interface & Customer-Facing Tools

• Design and develop professional, responsive UI dashboards (Electron, Qt, React, or similar).
• Implement intuitive visualisation for:
• Multi-industry Real-time tomograms (2D/3D) / visualisations
• Sensor diagnostics, FFT displays, and system health
• UI for inputs, calibrations and UDF
• Collaborate with customers and field engineers to refine UI/UX and operational workflows.

f. Cross-Functional Team Collaboration

• Work seamlessly across FPGA, embedded, mechanical, physics, and ML groups.
• Contribute to product documentation, roadmap planning, and technology strategy.
• Uphold and embody DIET-A values in project delivery and collaboration.

• Degree (BSc) or post-graduate (MSc) or equivalent professional qualification in software (or equivalent) engineering from a recognised institution.

Core Technical Skills

Strong programming skills in Python and C++ (Rust is a bonus).

• Experience with machine learning, ideally PyTorch or TensorFlow.
• Experience with real-time signal processing, DSP, numerical methods, or imaging algorithms.
• Familiarity with FPGAs from a software-integration perspective (no need to code HDL, but able to interface effectively with those who do).
• Experience building data acquisition and reconstruction pipelines.

Embedded / FPGA / Systems

• Understanding of embedded Linux, ARM processors, and high-speed I/O.
• Ability to work with FPGA teams on:
• AXI-Stream
• DMA interfaces
• HLS-based accelerators
• Working knowledge of Vitis, Vivado, or FPGA-based AI pipelines is an advantage.

AI & Algorithm Deployment

• ONNX Runtime, TVM, TensorRT, or Vitis-AI experience a plus.
• Experience quantising and optimising models for edge devices.

Software Engineering & UI

• Strong software engineering discipline: version control, CI/CD, documentation.
• Experience building user interfaces (Qt, React, Electron, PyQt, or similar).
• Ability to create performant visualisation (matplotlib, plotly, OpenGL/DirectX, or custom).

Domain Knowledge (Bonus)

• Any exposure to tomography, imaging, or inverse problems.
• Experience with multi-modal tomography applications.
• Experience of software development for specialist devices

Attributes

• Self motivated: ability to 'take ownership' of the project and bring it to successful completion.
• Can do attitude and collaborative.

Job Types: Full-time, Permanent

Pay: £45,000.00-£55,000.00 per year

Benefits:

• Company pension
• Cycle to work scheme
• On-site parking
• Private medical insurance

Ability to commute/relocate:

• Ely CB7 4EX: reliably commute or plan to relocate before starting work (required)

Work authorisation:

• United Kingdom (required)

UBIETY Technologies Limited is a deep-tech company developing the next generation of Edge-AI multi-modal imaging systems. It is a spin-off from a well-established and UKRI designated Emerging Technology Developer firm in Cambridgeshire, which has been collaborating with the UK's leading research-intensive universities such as the University of Cambridge, University of Bath, University of Leeds as well as international institutions such as the University of Canterbury in New Zealand - to mention just a few. Our current technologies are focused in five key areas: 1. Flow metrology for decarbonisation processes in the newly emerging CCUS industry applications, significantly contributing towards the global NetZero effort, 2. Medical Imaging using integrated tomographic technologies that are non-nuclear, non-intrusive and highly portable compared to the bulky X-Ray, CT and MRI technologies, 3. Real-Time Processing Monitoring using integrated electro-magnetic super-sensing technologies for pharmaceutical, food, chemical, and aerospace industries, 4. Defence and Security imaging applications using advanced Non-Invasive, Non-Intrusive, Non-nuclear, Portable, and Compact Tomographic Technologies that allow to "Weigh without Touching" and "See through without Opening". 5. Digital-Twins of our Products and Processes for various industrial applications through the power of Machine Learning (ML) and AI to deliver streamlined business of Product as a Hardware (PaaHW), Product as a Service (PaaS) and Software as a Service (SaaS). We are a small, high-performance team of specialised scientists and engineers working at the convergence of advanced physics, embedded systems, AI/ML, and high-speed signal processing. As we approach product launch, we are seeking a world-class Software Engineer who thrives in ambitious environments and wants to build technology with real global impact.