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Goods In Administrator Engineering Stores -Pershore Permanent Immediate Start Full Time A growing company in Pershore is looking for a reliable and proactive Goods In Administrator to join their friendly team. T This is a varied role that offers the opportunity to work in a supportive environment with flexible hours and a permanent contract. Key Responsibilities: Booking high-value stock in and out of the site Assisting with despatch duties Moving stock around the site and preparing goods for export General site tidying and organisation Van driving Operating a forklift (FLT) safely and efficiently Working Hours: Standard: 8:00am 4:30pm Most work: 7:00am 3:30pm Flexible: Later hours available if preferred Requirements: Reliable, trustworthy, and organised Comfortable handling stock and operating in a warehouse environment FLT experience desirable Van driving experience desirable but not essential Why You ll Love It Here: Friendly, welcoming team Immediate start with permanent contract Opportunity to grow in a supportive environment Confidential applications only please get in touch quickly if interested.

Software Engineer C++ GPU Acceleration Overview We are seeking a skilled C++ Engineer with strong GPU acceleration expertise to work on cutting-edge, high-performance systems used across entertainment, engineering, and scientific applications. This role focuses on maximising GPU-based processing performance, including real-time data handling, image processing, and machine learning workloads. You will join a collaborative software engineering team and work closely with machine learning and research specialists in an environment that values technical excellence, innovation, and a healthy work life balance. Key Responsibilities Design and implement high-performance algorithms using CUDA Manage host device interactions, including memory management, data transfer optimisation, and multi-GPU support Deploy and optimise machine learning models using TensorRT within C++ applications Profile and optimise GPU workloads using NVIDIA Nsight Systems and Nsight Compute Configure GPU hardware and software stacks to maximise runtime performance Evaluate and recommend appropriate GPU hardware for specific workloads Clearly communicate GPU-related opportunities and constraints to non-technical stakeholders Required Skills, Knowledge & Experience Strong modern C++ development skills Proven experience with CUDA and CUDA libraries Solid understanding of software optimisation and performance tuning Experience developing and profiling GPU-accelerated applications Confidence working in performance-critical, real-time systems Desirable (Not Essential) Knowledge of networking, streaming, or video compression Experience with real-time data pipelines or image processing systems Working Environment Collaborative, cross-disciplinary engineering culture Close interaction with machine learning and research teams Informal and supportive workplace with an emphasis on sustainable workloads