6 jobs found

Title : Senior Software Engineer (Compilers) Company : HPC & AI Location : London (primarily remote) Compensation : Up to 190,000 Company : An advanced HPC R&D firm, looking to expand the UK compiler team. Most of the team are ex-Big-Tech, ex-FAANG or ex-Chip firms. They joined because they get more flexibility and have more challenging/interesting work to do as the team is significantly smaller, with highly technical leadership. If you want to work alongside some of the brightest, most enthusiastic people in the industry, this may be worth exploring. Role : Senior Software Engineer position with an emphasis on AI Compiler development. You will be a significant hire and will own much of the development of a cutting-edge compiler development project. Significant hires have already been made in the team to support this role. Mostly LLVM based, it is important you also have experience working with GPUs to an extent. About you: 6 years+ as a compiler engineer Strong C++ programming skills Experience with LLVM, MLIR, Triton or other compilers Experience with GPU architectures Full details are available. Please don't hesitate to get in touch.

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

We are looking for a C++ software engineer to help us maximize the performance of GPU based processing within our systems. This includes tasks such as the efficient handling of real-time data streams, image processing and deep learning. Key Responsibilities Developing Algorithms in CUDA. Host Device system management (memory management, data transfers, multi-GPU support) click apply for full job details

Overview Expleo is a trusted partner for end-to-end, integrated engineering, quality services and management consulting for digital transformation. We help businesses harness unrelenting technological change to successfully deliver innovations that will help them gain a competitive advantage and improve the everyday lives of people around the globe. A highly capable Software Engineer (Digital Signal Processing) is required to support support the development, integration, and testing of complex digital signal processing (DSP) algorithms within real-time software systems. This role is suited to professionals with strong C++ expertise, a deep understanding of computational mathematics, and experience working in model-driven development environments. The position involves working within multidisciplinary engineering teams to translate mathematical models into robust, high-performance software implementations. The ideal candidate will be comfortable working in Linux-based environments, collaborating across modelling, software, systems, and verification functions. Responsibilities Design, develop, and optimise real-time DSP algorithms in C++ within high-performance computing environments. Integrate both auto-generated and hand-crafted model-based code into larger software systems. Conduct modelling, simulation, and validation of algorithms using MATLAB, Simulink, or similar environments. Execute structured testing, benchmarking, and verification of DSP components to ensure precision, performance, and model fidelity. Develop scripts (Python/Bash) for modelling support, data preparation, analysis, and automated testing workflows. Perform Linux-target development activities including debugging, optimisation, and deployment. Collaborate with engineering teams to ensure software aligns with system requirements, performance targets, and architectural constraints. Apply software engineering best practices including static analysis, unit testing, and clean code principles. Contribute to configuration management, issue tracking, and continuous integration processes using industry-standard tools. Participate in Agile delivery frameworks, contributing to planning, reporting, and technical reviews. Ensure the accuracy, consistency, and quality of algorithmic outputs and their software implementations. Qualifications Degree in Electrical Engineering, Computer Science, Mathematics, Physics, or a related discipline. Strong academic or professional focus on signal processing, computational mathematics, or algorithm development. Solid grounding in real-time software engineering and Linux-based development environments. Essential skills Advanced C++ programming for real-time DSP applications. Strong mathematical capability, particularly in digital signal processing theory and algorithm development. Proficiency with MATLAB, Simulink, or similar tools for modelling and simulation. Experience with integrating autogenerated model code alongside custom software implementations. Linux development expertise, including debugging, profiling, performance optimisation, and command-line workflows. Python and/or Bash scripting for automation, prototyping, data manipulation, and verification tasks. Familiarity with GPU acceleration techniques (e.g., CUDA, OpenCL). Understanding of networking, Linux infrastructure, and system patching. Desired skills Knowledge of high-performance computing techniques and parallelisation strategies. Familiarity with container technologies such as Docker or Podman. Experience working in multidisciplinary engineering teams including systems, hardware, and modelling specialists. Understanding of end-to-end DSP pipelines, model fidelity constraints, and real-time performance requirements. Strong awareness of software quality assurance practices and continuous integration concepts. Experience Demonstrated experience implementing, validating, and benchmarking DSP algorithms. Working with filters, detection algorithms, beamforming, or similar DSP domains. Applying model-driven development practices across the full software lifecycle. Conducting structured test and verification activities for mathematical or algorithmic components. Using version control, repository management, and software lifecycle tools (e.g., Git, Bitbucket, Artifactory, Jira). Working within Agile software environments or following well-defined software delivery processes. Experience with containerised runtime environments or modern DevOps workflows (desirable). What do I need before I apply Eligibility for Security Clearance (SC); in many cases this may require sole UK nationality and long-term UK residency. Ability and willingness to work fully onsite (location will depend on the employer/project). Strong communication skills and the ability to collaborate effectively with cross-functional technical teams. A proactive approach to problem solving, ownership of deliverables, and commitment to high software and mathematical accuracy. Benefits Collaborative working environment - we stand shoulder to shoulder with our clients and our peers through good times and challenges We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses Competitive company benefits Always working as one team, our people are not afraid to think big and challenge the status quo As a Disability Confident Committed Employer we have committed to: Ensure our recruitment process is inclusive and accessible Communicating and promoting vacancies Offering an interview to disabled people who meet the minimum criteria for the job Anticipating and providing reasonable adjustments as required Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people "We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age". We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive

DevSecOps Engineer x2 +Permananet opportunity +Hybrid working 2/3 days a week onsite in Romsey + 80,000 - 100,000 +SC cleared roles Skills: +MOD +Terraform +Ansible +Gitlab +SC clearance - sole British nationals only due to the nature of the project We are seeking a DevSecOps Engineer to join our Defence Information Advantage team, helping to drive best practice across secure software delivery, deployment automation, and live system operations. Working in the defence domain presents unique challenges across DevSecOps, MLOps and secure cloud adoption . You will use modern cloud and automation technologies to accelerate deployments while applying SRE principles to improve system resilience and uptime. Key Responsibilities Build and maintain CI/CD pipelines and deployment automation Support and operate live systems, resolving incidents and issues Coach teams in DevSecOps best practice Work closely with developers, product owners, security architects and QA Contribute to agile ceremonies (Scrum, Kanban or SAFe) Participate in code reviews and secure-by-design delivery Skills & Experience Degree in a STEM subject or equivalent practical experience Cloud experience (AWS essential; Azure/GCP desirable) Strong DevSecOps tooling knowledge (Git, GitLab CI/CD, Terraform, Ansible) Containerisation and orchestration (Docker, Kubernetes; GPU containers desirable) Cyber security practices (vulnerability management, IAM, secure networking) Experience with microservices, APIs, streaming platforms (Kafka/MQTT) Scripting or automation using Python, Rust or similar Observability/SRE tools such as Prometheus, Grafana or Elastic You'll be proactive, curious, and an effective communicator with a strong commitment to continuous improvement. Previous defence-sector DevSecOps experience is a bonus. If you'd like to discuss the DevSecOps Engineer role in more detail, please send your updated CV to (url removed) and I will get in touch.

The opportunity As a Senior C++ Developer, you won t be maintaining legacy code or adding features at the edges. You have the option to work fully remote or partically remote with access to the clients offices. You ll be designing and building core systems that will ultimately run on millions of industrial edge devices, shaping how they authenticate, communicate, and trust one another from the edge inward. This is deep, low-level engineering with genuine real-world consequences. You ll work on: High-performance C++ systems that must be secure, resilient, and elegant Message- and event-driven architectures spanning cloud, edge, and device-to-device communication Decentralised security models that challenge conventional IoT thinking Deployment, configuration, and governance approaches that actually work at industrial scale You ll have meaningful influence over architecture, standards, and long-term technical direction. Company Description Across critical national infrastructure, industrial systems, defence, and smart cities, billions of devices communicate every day often insecurely, often via fragile, centralised models that were never designed for today s threat landscape or scale. This early-stage UK technology company exists to change that. Working alongside leading academic researchers, the team has created a radically new, edge-native authentication and security platform. It enables real-time communication and narrow AI across vast industrial networks without relying on always-on central connectivity. It s decentralised. It s post-quantum secure. It even operates in untrusted environments. And it s already real. What you ll be trusted to do Design and own technical architectures across cloud and edge environments Build software enabling secure communication between cloud services and edge devices and between devices themselves Create simple, robust deployment and configuration mechanisms for edge-based systems Help define IoT governance processes and delivery standards Deliver integrated solutions using Agile and model-driven approaches Contribute to the standardisation of innovative security and interoperability solutions This is a senior role in autonomy, responsibility, and impact not just title. Qualifications What we re looking for You ll likely bring 10+ years of deep C++ experience, including: Designing and building complex systems on Linux and Windows Working with distributed, cloud-based microservices Delivering containerised architectures (Docker, Swarm, Kubernetes) Implementing CI/CD pipelines and DevOps best practices A solid understanding of cryptographic principles (symmetric/asymmetric cryptography, hashing) Experience thriving in start-up or scale-up environments You ll also be someone who: Documents clearly and automates wherever possible Communicates well, collaborates easily, and can push back constructively Enjoys ambiguity, learns fast, and cares deeply about engineering quality Bonus points (not essential) Experience with IoT platforms, edge devices, or industrial systems Exposure to embedded Linux environments (Debian, CentOS, Raspbian, OpenWrt) API or SDK design experience Edge-based AI or GPU compute exposure Familiarity with blockchain concepts Benefits/Additional Info Why this role? You ll work on genuinely novel, patented technology Your work will have real-world impact at national and global scale You ll join early enough to shape the platform, not just extend it You ll receive equity that reflects ownership and contribution You ll work with a small, highly capable, mission-driven technical team If you re a senior C++ engineer who wants their next role to be meaningful, technically deep, and legacy-defining, this is worth a conversation. Edison Hill Search are operating and advertising as an Employment Agency for permanent positions and as an Employment Business for interim / contract / temporary positions. Edison Hill Search are an Equal Opportunities employer and we encourage applicants from all backgrounds.