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AtCesiumAstro, we are developers and pioneers of out-of-the-box communication systems for satellites, UAVs, launch vehicles, and other space and airborne platforms. We take pride in our dynamic and cross‑functional work environment, which allows us to learn, develop, and engage across our organization. If you are looking for hands‑on, interactive, and autonomous work, CesiumAstro is the place for you. We are actively seeking passionate, collaborative, energetic, and forward‑thinking individuals to join our team. We are actively seeking passionate, collaborative, energetic, and forward‑thinking individual to join our team as a Principal RF Engineer I. The ideal candidate has extensive experience inboard‑level and system‑level RF electronics design. If you enjoy working in a startup environment and are passionate about developing leading‑edge phased arrays for satellites, spacecraft, and aerospace systems, we would like to hear from you. In this position, you will be responsible for RF circuits, modules, and systems through all phases of the development process. The ideal candidate will be proficient in board‑level schematic design and PCB layout of RF circuits, system‑level communications concepts such as link budgets and modulation schemes, and end‑to‑end RF product development. The work will include many aspects of phased array communication systems, including RF front ends, frequency converters and synthesizers, filters, beamformers, power dividers, and phased array antennas. As a principal hardware team member, you will be responsible for RF system and hardware designs from initial concept through requirements definition, architecture definition, part selection, detailed design, analysis, manufacturing, testing, qualification, and in‑orbit support of Cesium's products. Hardware design tasks will include block diagrams, detailed schematics, PCB layout and routing, simulations, and test design. Principal Engineers also serve as technical and professional mentors in their field and may be given the opportunity to lead company programs. The successful candidate will also present engineering design review materials to our customers and executive team, as well as participate in proposal‑writing efforts. As such, excellent written and verbal communication skills are required. • Bachelor of Science (BS) degree in Electrical Engineering (EE) from an accredited university or institution. Master of Science (MS) desired., • Minimum of 9 years of industry experience in design and analysis of RF electronics and systems., • Expert‑level proficiency in professional simulation tools such as CST and ADS, as well as EDA tools such Altium., • Extensive hands‑on experience with lab instruments such as vector network analyzers, spectrum analyzers, signal generators, and oscilloscopes., • Excellent written and verbal communication skills., • Python or other programming languages., • Aerospace electronics design, development, and qualification., • Worst‑case circuit analysis, failure method and criticality analyses, and reliability analysis., • Antenna design., • EMI/EMC design and mitigation techniques. CesiumAstro considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, and key skills. Please be aware that many roles will be subject to both security and export control restrictions. These restrictions mean that factors including new starter’s nationality, any previous or dual nationalities held, place of birth and country of residence may limit those roles that you can perform for the organisation. Please note: CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any unsolicited resumes submitted to our website or to CesiumAstro team members not through our approved vendor list or Talent Acquisition will be considered property of CesiumAstro, and we will not be obligated to pay any referral fees. #J-18808-Ljbffr

We are looking for a Senior Security Software Developer that applies subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Frequently contributes to the development of new ideas and methods. Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. Acts as an expert providing direction and guidance to process improvements and establishing policies. Frequently represents the organization to external customers/clients. Exercises significant independent judgment within broadly defined policies and practices to determine best method for accomplishing work and achieving objectives. May provide mentoring and guidance to junior level employees. Leads multiple feature development or software applications with internal and outsourced development partners responsible for all stages of design and development for complex products and platforms, including solution design, analysis, coding, testing, and integration. Manages and expands relationships with internal and outsourced development partners on software applications design and development. Reviews and evaluates designs and project activities for compliance with applications design and development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk. Provides domain-specific expertise and overall software applications leadership and perspective to cross-organization projects, programs, and activities. Drives innovation and integration of new technologies into projects and activities in the software applications design organization. Provides guidance and mentoring to less- experienced staff members. Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent. Typically 6-10 years' experience. Experience in building solutions from the ground up. Experience in successful delivery for products to the market Proficient in multiple software development tools and languages, with a strong focus on programming with either C/C++, C#, .NetCore, WPF, XAML. Experience with unit testing methodologies. Understanding of Agile principles needed and experience working in tools like ADO. Understanding of design for software applications running on multiple platform such as Windows. Good knowledge of the Windows registry, Certificates, file and folder security, local/domain user security and general operating system Hands on knowledge on Windows programming (multi-threading, sockets, etc.), and Windows application development Skilled in Troubleshooting and resolving complex Application issues Self-starter with desire to work across a variety of technology stack and challenges Excellent analytical and problem solving skills. Experience in overall architecture of software applications for products and solutions. Excellent written and verbal communication skills; mastery in English and local language. Ability to effectively communicate product architectures, design proposals and negotiate options at senior management levels. Prior knowledge with software security principles and cryptography Plus Experience working with ReactJS, Python, Django, GO / Rust, Xamarin Some knowledge of the following technologies: WMI, COM, networking, concurrency, databases, code optimization/performance testing Experience developing responsive web applications using JS Frameworks, HTML5, CSS HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Job - Software Schedule - Full time Shift - No shift premium (United Kingdom) Travel - Relocation HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights under the law here: "Know Your Rights: Workplace Discrimination is Illegal" #J-18808-Ljbffr

European Tech Recruit are working closely with a leading fabless semiconductor company, based in Cambourne, who are looking for a talented Principal GPU Compiler Engineer to join their team. • Define GPU compiler software architecture and interfaces., • Development/implement GPU compiler pipeline, linking and various optimizations / transformations., • Collaborate with Driver team, HW team to implement new API & HW features., • Collaborate with Driver team, HW team to improve/tune performance & power consumption., • Execute & deliver to meet milestones/schedules., • Analyze and debug code generation issues., • Analyze and influence future GPU architectures., • Construct reliable & trustable relationships across teams internally & externally., • BS, MS or PhD degree or equivalent in Computer Science, Electrical or Computer Engineering or related majors., • 7+ years of industry experience., • Working experience on product compiler, compiler tools such as assembler, linker development., • Hands-on knowledge / experience on C/C++ programming., • Hands-on knowledge / experience on state-of-the-art compiler optimization / transformation techniques., • Hands-on knowledge / experience on LLVM., • Strong teamwork skill and execution capability., • Strong problem solving, root causing and debugging skills., • Knowledge / experience on GPU / GPU pipeline and GPU architecture., • Knowledge / experience on SIMD architecture., • Knowledge / experience on D3D, Vulkan / OpenGL, OpenCL APIs., • Knowledge / experience on leveraging AI in compiler / tool / optimization development. #J-18808-Ljbffr

NVIDIA Gruppe is seeking a CPU Compiler Engineer to join their innovative team. This role involves designing and developing GNU Toolchain improvements for NVIDIA's CPUs, essential for AI and HPC performance. Ideal candidates have at least 12 years of compiler experience, strong C++ programming skills, and a degree in Computer Science. The position offers a competitive salary and extensive benefits in a diverse work environment. If you are passionate about technology and eager to contribute to groundbreaking projects, we would love to hear from you. #J-18808-Ljbffr

We are looking to hire a CPU Compiler Engineer for an exciting and fun role at NVIDIA. We craft outstanding compilers that realise the potential of NVIDIA's CPUs designed for the world's largest AI and HPC workloads. Our compiler organization makes its mark on every CPU, GPU, DPU and SoC product that NVIDIA builds. Would you like to be part of this outstanding organization? We need you to design, develop and help improve the upstream GNU Toolchain for NVIDIA's CPUs. These compilers are key for the performance of AI, HPC and other performance critical software deployed on NVIDIA Data Centres, on the cloud and at super computing centres around the world. In this role you will solve critical problems working alongside an outstanding engineering team with vision in Compiler technology and systems software, doing what you enjoy! You will also be collaborating with the relevant upstream projects and improving the state of the art. If this sounds like a fun challenge, we would be delighted to hear from you. • Work with a geographically distributed partner organization to understand, modify and improve CPU Compiler SW at NVIDIA., • Contribute new features and optimisation techniques targeting NVIDIA Grace CPUs engaging with upstream and open source communities., • Develop compiler SW that is optimised for performance., • Be part of a team that is at the centre of AI, HPC and data centre technologies., • Help in the development of next generation CPU micro-architecture., • BS or MS degree in Computer Science, Computer Engineering, or related field or equivalent experience, • More than 12 years of experience with compiler development in a production environment., • Knowledge of Language Front-Ends or Compiler optimisation techniques and code generation modules., • Strong hands‑on C++ programming skills, • Excellent verbal and written communications skills, • Familiarity with CPU architectures such as Arm Architecture (AArch32, AArch64), RISC-V, x86_64, PowerPC or DSPs and engaging with pre-silicon compiler and toolchain contributions., • A track record of working with industry standard compiler infrastructure such as GNU Toolchain and familiarity with LLVM, • Knowledge of AI algorithms, scientific HPC applications and related code optimisations., • Meaningful contributions to free software and open source compiler communities. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most innovative and talented people on the planet working for us and, due to unprecedented growth, our world-class engineering teams are expanding fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr

CommonAI CIC is a non-profit membership organisation, founded on a belief in collaborative engineering for the safe and responsible development of foundational AI technologies. A place where AI startups, enterprises large and small, public sector bodies and academia can share resources and knowledge, to codevelop and grow businesses, fast. We are led by experienced founders, investors and engineers who believe that collaborative engineering drives faster AI innovation and are backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems. We are seeking a Senior Software Engineer with a passion for open-source AI infrastructure to work on deploying, extending and optimising vLLM (and potentially other inference serving engines) to support our projects. You will play a crucial, high-impact role across both our key programmes, the Scaling Inference Lab (https://scalinginference.org) and the High Assurance programme. As an AI-first company, we strongly believe in collaborative engineering powered by the tools we are helping to build. This role places a major emphasis on using LLMs, AI coding assistants, and autonomous agents for software development. • Deploy, instrument and monitor open weight models served using vLLM., • Implement new features within vLLM to support novel hardware architectures as part of the Scaling Inference Lab., • Work with the Panopticon team to identify opportunities to extend vLLM to enhance accuracy, explainability, and accountability when using it to serve models in regulated environments., • Actively collaborate with the open-source vLLM community to propose, review, and upstream core changes., • Troubleshoot, profile, and optimise inference performance, focusing on latency, throughput, and hardware utilisation., • Proven experience working as a Senior Software Engineer with deep expertise in both Python and low-level programming (e.g. C/C++, Rust, assembly or CUDA)., • A history of direct contributions to vLLM or similar high-performance open-source ML/AI projects (e.g. PyTorch, Hugging Face TGI, TensorRT-LLM, Ray)., • Strong understanding of LLM inference mechanics (e.g. KV caching, continuous batching, memory management, model quantisation)., • Experience interacting with, and upstreaming code to, active open-source communities., • Hands-on experience working on performance optimisation for hardware accelerators (GPUs, TPUs, CPU vector units or other accelerators)., • A strong enthusiasm for using LLMs, coding assistants, and agents as core tools in your own software development process., • Experience working on software systems that operate in highly regulated or high-assurance environments (e.g. financial services)., • An understanding of the latest AI safety research and active involvement in that community., • Deep knowledge of modern MLOps practices, CI/CD, and large-scale deployments., • A collaborative and supportive work environment, • The opportunity to have a high impact in a growing organisation, • Competitive salary package and pension, • Professional development opportunities, • Networking opportunities with influential people from across the tech sector, financial services, and academia, • A vibrant office environment located a few minutes' walk away from Cambridge train station CommonAI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace. #J-18808-Ljbffr

Job ID 2023-8143 Date posted 09/09/2026 Location Cambridge, United Kingdom Category Sales We are looking for a hands-on Staff AI Solutions specialist to join our Commercial Systems in Cambridge. The team finds opportunities to simplify and automate the commercial processes used across Sales, Licensing, Legal and Commercial Operations. Your role will be to turn those ideas into practical solutions. You will design and build solutions directly where appropriate, from AI-enabled workflows and agents to lightweight applications and integrations. For more complex solutions, you will work with Enterprise IT, Data, and multiple technology teams to define the approach, develop prototypes and support delivery into production. This role sits at the intersection of applied AI, software engineering, data and business process improvement. At the heart of the role is a focus on getting useful solutions into the hands of users and delivering measurable business outcomes. • Turn process-improvement and automation opportunities into practical technical solutions, from initial idea through to implementation., • Compose and develop AI-enabled workflows, agents, automations, integrations and lightweight applications., • Develop prototypes quickly, test them with users and progress successful solutions towards secure, reliable and supportable operational use., • Work with business partners to understand processes, requirements and expected outcomes, and resolve whether AI, automation, integration or a system change is the right approach., • Partner with technical groups focused on Enterprise IT, Data, Security, and other domains where specialist architecture, integration, or production support is needed., • Test, document and support solutions, building reusable components and sharing knowledge across the team., • Hands‑on experience building and delivering software, automation or AI‑enabled business solutions., • Strong programming experience using Python for AI, automation, data processing or back‑end development., • Experience connecting applications and workflows to APIs, enterprise systems and business data., • Knowledge of SQL, relational databases and modern data‑pipeline approaches., • Understanding of modern AI capabilities, including language models, agent‑based workflows, retrieval and tool use., • Experience applying good software‑engineering practices (CI/CD), including version control, testing, deployment, monitoring and maintainable design., • Strong problem‑solving and interpersonal skills. Ability to take a business need from conception to delivery. Collaborate effectively with Enterprise IT and other technical teams., • Azure, Databricks, Apache Spark or comparable cloud and data platforms., • Data pipelines, ETL and workflow‑orchestration technologies., • Machine‑learning methods such as forecasting, prediction or classification., • Experience with enterprise platforms such as Salesforce, SAP, ServiceNow or Celonis., • Experience developing scalable, user‑friendly applications using TypeScript or JavaScript, React and modern front‑end technologies such as CSS or Tailwind. You will have the opportunity to work across a varied portfolio of AI, automation and process‑improvement initiatives with transparent impact across Arm’s Commercial organisation. You will be part of a growing team that combines business‑process knowledge with practical technical delivery. You are given the freedom to build and test new approaches, while working with specialists across Arm to develop solutions that are secure, scalable and designed for balance. The solutions you deliver will reduce manual effort, improve the quality of commercial processes and help teams complete their work more quickly and optimally. At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. £70,600 - £95,500 per year #J-18808-Ljbffr

“Everyone can rise above their circumstances and achieve success if they are dedicated and passionate about what they do”.– Nelson Mandela The Fellows House sits in one of the most culturally rich cities in the world, within the lifestyle collection of one of the most respected hotel brands in the world. Our ambition is to be the destination hotel for Cambridge: the place the city's professionals, academics and visitors choose to gather, eat, stay and create memorable moments. Alongside the guest experience, we operate The Folio Bar and Kitchen and The Sage of Cambridge. These are not amenities. They are commercial engines and brand expressions that we want Cambridge locals to know and love, not just hotel guests. We are looking for a General Manager to lead The Fellows House into its next chapter. The property is in good shape, the team has real talent, and the building blocks are in place. This is a role about building: brand position in the city, commercial performance, lifestyle programming, and a culture people want to be part of. You will lead the property as a standalone business, with full authority over the operating team and the decisions that shape the property day to day. You will report to the Board of the privately held owner, who will act as a source of strategic counsel, open doors in the Cambridge market, and invest in your development for the long term. Rooms and operations, food and beverage, events, commercial and revenue, marketing, finance and people. You set direction with each Head of Department, support their growth, and hold the standards The Fellows House requires. You own GOPPAR, RGI, TRevPAR, direct booking share and the financial returns that make the property sustainable, building and delivering the annual budget with the Director of Revenue and the Financial Controller. Deliver guest experiences worth talking about and build the reputation of The Fellows House as the leading lifestyle hotel in Cambridge. Lead events and cultural programming that bring locals through the doors and build the profile of the property well beyond its guest base. Build active relationships across colleges and universities, science parks and corporate, cultural and academic institutions, and events and weddings, and secure contracts with anchor clients. You are the accountable officer for safety, health, brand and licensing compliance, working to the standards of Curio Collection, Hilton and the regulatory environment. Work closely with the HR Manager to develop the senior team, invest in internal promotion, and build the kind of engagement that compounds into retention. The next General Manager is someone whose presence in the property changes the temperature for the better. The qualities matter more than any specific career path. Senior hospitality leadership experience, ideally including time as a General Manager or Hotel Manager at a comparable property, with exposure to lifestyle or boutique positioning. Hilton brand experience is welcomed but not required. A natural curiosity about the lifestyle and cultural world the property operates within. Genuine interest in Cambridge as a place, in design, in food and drink, and in the things that make a property distinctive. Real care for the team, the guests and the property. Present without micromanaging, generous with credit, clear with accountability. People centred. Leadership built on relationships. Listens well, develops people, and is comfortable holding difficult conversations because the relationship can hold them. Fluent with budgets, forecasts and performance data, with ideas about how to grow revenue and protect margin, and a view that commercial outcomes follow from getting culture and operations right. Open to learning, interested in AI and digital tools, in new revenue ideas, and in what other lifestyle properties are doing well. We believe in being our best and true selves every single day and delivering the most refined experiences possible. We believe in always having good manners and being polite. We never let our high standards slip, have impeccable taste and an eye for detail. We have a deep love and respect for all cultures and cultural pursuits. We are wholly committed to creating perfect experiences for our guests and teams alike. We are trustworthy and fiercely loyal. Everything we do is fuelled by passion. Passion for excellence. Passion for making the world a better and more interesting place. Passion for sharing wisdom. Passion for supporting each other to be the best we can be. We believe in understanding and engaging with everyone on a human level. We recognise that everyone deserves to be appreciated for the genuine person they are with unique needs, desires, tastes, and preferences. • Comprehensive salary package, • Access to GO Hilton Travel Programme – stay in Hilton Hotels around the world for as little as $35., • 50% F&B Discount when staying in Hilton Hotels through the Go Hilton Travel Programme, • Staff meals and hot drinks on shift, • Career Development, • Extensive learning & development opportunities In exchange for your efforts and dedication, we offer a fantastic place to work, an opportunity to help shape our hotel's continued success and a comprehensive benefits package. #J-18808-Ljbffr

Do you want to use your engineering skills to build agentic workflows that help find treatments for rare disease patients? Healx is an AI-powered tech bio company that is redesigning drug discovery. With 10,000 rare diseases affecting 400 million people globally, 90% of which have no approved treatment, Healx is on a mission to pioneer the next generation of drug discovery to help rare disease patients in need. We combine data, artificial intelligence and deep pharmacology expertise to develop treatments more quickly and cheaply than traditional drug discovery. Diversity and inclusion sits at the heart of our mission to help people with rare diseases, and we believe that attracting and empowering a diverse team is critical to achieving this goal. We welcome applications from people from all backgrounds and walks of life. Below we have included the qualities that we feel are required for you to excel in this role; however we appreciate that people can apply transferable skills and experience. If you think you have what it takes, love our mission and resonate with our values but are worried you don't tick every box – we still want to hear from you and encourage you to apply! Care for Rare – Rare disease patients are at the heart of what we do Grow as individuals – We are learners always seeking to enhance our expertise Win as a team – We strive to remain inclusive and diverse and we celebrate successes and lessons together Innovate and deliver – Our mission requires rapid innovation and calculated risks that won’t compromise our high standards Healx is looking for an Agentic AI Engineer to build LLM-agentic workflows that power our drug discovery platform. Reporting to our Director of Tech Strategy, you'll design and build agents that solve real drug discovery problems. Working closely with scientists across the company, you'll understand the questions that matter most to their work, then design and refine agents that reason over our knowledge graph, proprietary methods, scientific literature and other sources to generate, triage and rationalise testable therapeutic hypotheses for rare diseases. You won't be starting from scratch. We've adopted an agentic framework (our stack currently includes Python, ADK and AgentSpace) and built workflows already delivering impact across our drug discovery platform. But this is a fast-moving field, so a big part of the role is helping us adapt as the landscape shifts. You'll work alongside the technical lead who owns our agentic infrastructure, with scope to take ownership of specific workflows and grow your influence as you do. You'll join a cross-functional team of machine learning engineers, software engineers, bioinformaticians, drug discovery scientists and clinicians, all working to sharpen how Healx makes better decisions in drug discovery. Build and refine AI-agentic workflows on our internal framework to help drug discovery scientists generate the best testable therapeutic hypotheses to progress. Translate discovery problems into agent designs, working out where an agentic approach genuinely adds value, and where it doesn’t Integrate agents with our knowledge graph, proprietary methods, scientific literature and other sources so they reason over the right evidence for each problem Expand and maintain our existing GenAI tools so they keep pace with the team’s needs and a fast-moving ecosystem Contribute to how we evaluate agentic workflows, helping shape sensible evals, testing and quality standards as the practice matures Write clear, maintainable, well-documented code that others on the team can build on In 3 months, you have: Got to grips with our agentic framework and the discovery problems it serves, and made your first contributions land in the codebase Built working relationships with the scientists and engineers you partner with, and started turning their feedback into concrete improvements In 6 months you have: Taken at least one agentic workflow from idea to a production tool scientists use in our drug discovery pipeline — built on our framework, with sensible evaluation and documentation Operating with real independence — owning agentic workflows end to end, proposing improvements. We’d love to hear from you if You have built and shipped LLM‑agentic systems that deliver real value — agents that use tools, orchestrate multi‑step workflows and behave reliably in production. You have at least 2 years of software engineer or ML engineer working experience. And you have strong software engineering fundamentals — you write clear, tested, maintainable Python code that others can build on Fluency with the modern LLM/agent toolkit — model APIs, prompting, tool use, RAG, and the patterns this fast‑moving ecosystem is converging on (MCP, agent frameworks, evals). You enjoy working closely with non‑engineers — you are the kind of person who'll sit with a scientist to understand what they actually need. It’s a bonus if you have: Experience in drug discovery, biology, or another life science domain Familiarity with knowledge graphs or reasoning over structured or heterogeneous data Experience building evaluation harnesses or testing strategies for LLM systems A track record of picking up unfamiliar domains quickly and becoming useful fast Interest in or experience with biotech / techbio and its impact on patient outcomes. Healx works from a modern accessible office in the centre of Cambridge within easy reach of the train station. We offer a flexible, diverse and inclusive working environment that considers your individual needs and believes in maintaining a sustainable work-life balance and we are open to discussing flexible working arrangements. We are a hybrid team operating on a highly collaborative model that values synchronization and pair programming. You will be welcomed by a team of colleagues with decades of accumulated experience in their areas of expertise, happy to help you develop your own skills in a highly collaborative environment and who are keen to provide guidance and support in your personal and career development plans. Healx will provide you with support and guidance to help you do your best work and make an impact. We offer flexible working and believe in maintaining a sustainable work-life balance. If you require any reasonable adjustments during the recruitment process, please let us know — we’re happy to accommodate. Financial – Competitive salary, share options, 7% employer pension contributions, life insurance of 4x base salary. Health and Wellbeing – Private medical insurance, 25 days annual leave (plus bank holidays) with the option to purchase additional days to support a healthy work-life balance, wellbeing support via Spill and our Employee Assistance Programme. Hybrid Working – We will only consider UK-based applicants for this position. We offer flexible and remote working options, home office set-up allowance, periodic in-person team days for company-wide collaboration and celebration. Family Friendly – Enhanced family leave policies, miscarriage and fertility leave, flexible working practices. Personal Development and Growth – Personal learning and development budgets, regular personal development conversations and career support. Community Engagement and Support – One paid day off per year to volunteer for a cause aligned with our mission of supporting patients living with rare diseases; the opportunity to hear from and engage with patient groups and communities who offer us valuable insights into the experiences of those affected by rare diseases. For more information about Healx and how we use your data please go to https://healx.ai/privacy/ #J-18808-Ljbffr

CommonAI CIC is a non-profit membership organisation, founded on a belief in collaborative engineering for the safe and responsible development of foundational AI technologies. A place where AI startups, enterprises large and small, public sector bodies and academia can share resources and knowledge, to codevelop and grow businesses, fast. We are led by experienced founders, investors and engineers who believe that collaborative engineering drives faster AI innovation and are backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems. We are seeking a Senior Software Engineer with a passion for open-source AI infrastructure to work on deploying, extending and optimising vLLM (and potentially other inference serving engines) to support our projects. You will play a crucial, high-impact role across both our key programmes, the Scaling Inference Lab (https://scalinginference.org) and the High Assurance programme. As an AI-first company, we strongly believe in collaborative engineering powered by the tools we are helping to build. This role places a major emphasis on using LLMs, AI coding assistants, and autonomous agents for software development. • Deploy, instrument and monitor open weight models served using vLLM., • Implement new features within vLLM to support novel hardware architectures as part of the Scaling Inference Lab., • Work with the Panopticon team to identify opportunities to extend vLLM to enhance accuracy, explainability, and accountability when using it to serve models in regulated environments., • Actively collaborate with the open-source vLLM community to propose, review, and upstream core changes., • Troubleshoot, profile, and optimise inference performance, focusing on latency, throughput, and hardware utilisation., • Proven experience working as a Senior Software Engineer with deep expertise in both Python and low-level programming (e.g. C/C++, Rust, assembly or CUDA)., • A history of direct contributions to vLLM or similar high-performance open-source ML/AI projects (e.g. PyTorch, Hugging Face TGI, TensorRT-LLM, Ray)., • Strong understanding of LLM inference mechanics (e.g. KV caching, continuous batching, memory management, model quantisation)., • Experience interacting with, and upstreaming code to, active open-source communities., • Hands-on experience working on performance optimisation for hardware accelerators (GPUs, TPUs, CPU vector units or other accelerators)., • A strong enthusiasm for using LLMs, coding assistants, and agents as core tools in your own software development process., • Experience working on software systems that operate in highly regulated or high-assurance environments (e.g. financial services)., • An understanding of the latest AI safety research and active involvement in that community., • Deep knowledge of modern MLOps practices, CI/CD, and large-scale deployments., • A collaborative and supportive work environment, • The opportunity to have a high impact in a growing organisation, • Competitive salary package and pension, • Professional development opportunities, • Networking opportunities with influential people from across the tech sector, financial services, and academia, • A vibrant office environment located a few minutes' walk away from Cambridge train station CommonAI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace. #J-18808-Ljbffr

Qureight's mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. We're looking for talented people who want their work to matter. With offices in Cambridge and London, you'll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. As Qureight scales its AI-driven imaging platform and expands its work with pharmaceutical and clinical partners, we are building the machine learning research capability required to develop robust, clinically meaningful models for 3D medical imaging. We are looking for a Senior Machine Learning Scientist to research, develop and specialise state-of-the-art deep learning models for volumetric CT data. The role focuses on foundation-model pre-training, supervised model specialisation, segmentation, classification, regression and biomarker extraction pipelines that support clinical-trial and real-world evidence programmes. This role sits within the Machine Learning function and works closely with ML Engineers, Data Scientists, Clinical Scientists and Imaging Specialists to ensure that research ideas are translated into reproducible model development workflows and clinically useful outputs. • Research, develop, and evaluate state-of-the-art computer vision methods for volumetric CT data, • Contribute to self-supervised pre-training of large foundation models for 3D vision, • Train and specialise models for supervised tasks, including segmentation, classification and regression, • Keep up to date with the latest machine learning research and contribute to internal reading groups, • Contribute to the publication of high-impact conference, journal and sponsor-facing scientific outputs, • Write high-quality Python and PyTorch code for model training, inference and evaluation, • Translate model outputs into biomarkers that support clinical-trial endpoints, enrichment strategies and disease-characterisation workflows, • Work with clinical and scientific stakeholders to ensure model objectives are clinically meaningful, • Train large models across GPUs and compute nodes, working with ML Engineers to improve performance and scalability, • Work proactively, communicate progress clearly and identify risks early, • Strong experience in machine learning research, with experience in either computer vision, foundation models, or 3D medical imaging, • Deep understanding of machine learning theory and its background, including deep learning, linear algebra, probability theory, statistics and optimisation, • Strong Python and PyTorch skills, with the ability to work confidently in model training and inference codebases, • Experience developing and evaluating deep learning models for imaging, segmentation, classification, regression or representation learning, • Experience with self-supervised learning, foundation models or large-scale model training, • Experience writing production-quality or research-to-production Python code, • Experience with modern software development workflows, including git, pull requests, code review, documentation and ticketing, • Strong communication skills and ability to work across ML, data science, clinical science and engineering teams, • Ability to be proactive, self-sufficient and rigorous when completing tasks, • Strong knowledge of Linux shells, git and modern Python development tools such as uv, poetry, ruff, black, mypy or ty, • Experience with volumetric CT, medical imaging, DICOM, NIfTI or NRRD data, • Experience training models across multiple GPUs or compute nodes, • Experience with cloud environments, • Experience with typed Python or typed programming languages, • Publication record in machine learning, computer vision, medical imaging or related fields, • Experience working in clinical trial, pharmaceutical, biotech or regulated healthcare environments., • A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme, • 25 days annual leave, plus bank holidays and enhanced maternity leave, • A diverse work environment that brings together experts in many fields, including software engineering, DevOps, data science, machine learning, quality assurance, regulatory affairs, and clinical operations Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every qualification. We'd love to hear from you. If you require any adjustments to the application or selection process, please let us know. We will be happy to support you. #J-18808-Ljbffr

HP Wolf Security is transforming endpoint security through hardware-enforced protection, isolation technologies, and cloud-connected security services. Our solutions protect millions of users worldwide by integrating security directly into the hardware, firmware, and software of modern PCs. As part of the HP Wolf Security R&D organisation, you will help strengthen the security engineering practices that underpin our products, ensuring security is built into every stage of the software development lifecycle. We are looking for a Principal Security Software Engineer to lead improvements to Wolf Security's secure software development processes, helping the organisation meet the requirements of the European Union Cyber Resilience Act (CRA). This includes strengthening security-by-design, vulnerability management, software assurance, and the engineering evidence needed to demonstrate effective security controls. The role requires close collaboration with software engineering, product security, quality, and compliance teams. (see https://www.hpwolf.com/) • Lead the definition and delivery of improvements to Wolf Security’s secure software development lifecycle in line with CRA expectations., • Introduce better static analysis tools, improve their integration into development and build workflows, tune rules and policies, and help teams resolve the issues they identify., • Establish approaches for triaging findings, managing false positives, tracking remediation, and measuring security improvement., • Promote security-by-design and secure-by-default principles through threat modelling, design reviews, architectural guidance, and secure coding practices., • Improve the identification, assessment, documentation, and remediation of vulnerabilities throughout the software development lifecycle., • Provide technical leadership on complex security problems, make engineering trade-offs, and mentor engineers through constructive review., • Significant experience building, securing, and maintaining production software, ideally endpoint, security, or systems software., • Strong programming experience in C, C++, Rust, Python, PowerShell, or comparable languages., • Experience developing software for Windows and/or Linux, including operating-system, virtualisation, isolation, or other security-sensitive components., • Strong experience with code review, debugging, unit and integration testing, and modern build, continuous integration, and release workflows., • Practical experience selecting, integrating, configuring, or improving static analysis tools and resolving the issues they identify., • Ability to work effectively in a complex codebase and drive improvements to software quality, reliability, and security., • Experience applying secure software development lifecycle practices, including threat modelling, secure design, vulnerability management, and release governance., • Experience with vulnerability disclosure, severity assessment, remediation planning, and security updates., • Experience leading technical initiatives and influencing teams without direct line-management authority., • Excellent written and verbal communication skills, with a collaborative and pragmatic approach. This role is based in HP’s Cambridge office under a hybrid working arrangement, with a minimum requirement to be onsite three days per week. As a people‑focused senior role, regular in‑person collaboration is encouraged. HP has invested in a new, modern site, including ergonomic workspaces and well stocked kitchen facilities that included a wide selection of coffee. You’re out to reimagine and reinvent what’s possible- in your career as well as the world around you. So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference. HP Wolf Security is central to HP’s strategy in the PC market, with security designed into hardware, firmware, and software. This integrated approach enables HP to differentiate through built‑in, enterprise‑grade protection and manageability. This role sits at the heart of that strategy, helping deliver the tools that allow customers to deploy, manage, and trust secure PCs at scale. The primary focus of the HP Wolf Security team is developing cyber security solutions to protect our customers devices and data. The digital threat landscape is ever-changing and as the cyber security industry reacts and adapts to changes, so too do the malware authors. Our unique micro-virtualization technology ensures that customers are protected from even the most bleeding edge cyber security threats. That micro-virtualization technology forms a key pillar in a wider cyber security suite that we're actively developing. Our history: Inspired by the isolation principles of traditional virtualization, our team known then as Bromium, created a game-changing technology called micro-virtualization to protect end users against advanced malware. Every task the user performs, such as opening a document or clicking on a link, is isolated in its own micro-VM, with access to just the resources required for that task, and existing just for the life of the task. Protection is thus provided through isolation, without relying on detection, hence reliably defending the user from polymorphic and even zero-day malware. Bromium was acquired by HP Inc on 19 September 2019 forming HP Wolf Security. For more information, visit our website: https #J-18808-Ljbffr

At Cambridge Consultants, we believe the future of technology isn't just smart, it has agency. We're moving past passive tools and building human-centred digital services and products: systems that reason, plan, and act around the people who use them. Our work spans autonomous systems at the frontier of biology, sensing, and AI. We hire self-motivated builders, not ticket-takers. If you thrive in highly agile environments, can cut through ambiguity with first-principles thinking, and want to ship things that matter, this is the kind of place where you'll feel at home. You’ll be working on systems that haven't existed before. Think of an Agentic Coach that navigates the unpredictability of human biology, or the software architecture behind a fully automated Dark Lab. These aren't chatbots waiting for questions. They're proactive systems that maintain world models, interpret human intent, and intervene before the user knows to ask. These systems create genuine impact for clients tackling problems no one else can solve. Building them means designing and wiring agent harnesses: layered architectures that span from sensor‑edge reasoning to high‑level planning, backed by stateful multi‑turn reasoning, persistent per‑user memory, and robust evaluation pipelines. You’ll work in two directions at once. Internally, you’ll use the latest AI tools to sharpen how we build, prototype, and ship. Externally, you’ll deliver the breakthrough systems our clients deploy, designed to move from prototype to production at pace. There’s no single technology stack. You’ll work with agents, multi‑agent systems, and the latest generative AI tools, but your work will always be grounded in solid software engineering. Expect to build scalable distributed systems in core languages like Python and TypeScript, leveraging frameworks such as NextJS and Pydantic, agent orchestration tools (LangGraph, CrewAI), and protocols like MCP. You’ll deploy on cloud platforms (AWS, GCP, Azure) using Docker, Kubernetes, and infrastructure‑as‑code, backed by rigorous CI/CD and observability (OpenTelemetry, Prometheus). Due to the clients we work with, you must be eligible for UK security clearance. • AI System Architecture: Designing and implementing the logic for autonomous systems, including maintaining world models, integrating multimodal sensing, and building real‑time human‑machine interaction loops., • Infrastructure & Production Engineering: Designing the underlying software for scalable, secure, and observable cloud deployments. You will apply the engineering rigor required to take experimental AI from concept to robust live launch., • Rapid Client Prototyping: Driving a demo‑first delivery model. You will focus on fast experimentation to actively show tangible value and working software to clients, rather than describing it in slide decks., • Domain Translation & Integration: Partnering directly with deep‑tech subject matter experts (like biologists and roboticists) to apply software solutions to complex physical constraints., • Applied AI Expertise: You have hands‑on experience utilising multi‑agent frameworks, long‑term memory systems, RAG pipelines, vector/graph databases, and reasoning‑loop patterns (such as ReAct and Chain‑of‑Thought)., • Core Software Fluency: You possess strong programming skills in Python and TypeScript, coupled with practical experience in cloud engineering, containerisation, and modern DevOps. You know that great agents still require rock‑solid software foundations., • High Tolerance for Ambiguity: You are energised by uncertainty and shifting targets. You treat shifting requirements as normal, and you know exactly when to ship a rough prototype to learn quickly versus when to slow down for architectural rigour., • Cross‑Disciplinary Communication: You can seamlessly navigate the gap between code and reality, collaborating with clients, roboticists, and scientists to clearly deliver the "art of the possible.", • Variety of work: Projects spanning biotech, finance, robotics, and beyond. No two engagements look alike., • Continuous learning: A mentoring and learning package shaped by your goals, backed by squad‑based knowledge sharing across the company., • Engineering autonomy: A free hand in choosing the right tools and processes. We trust your engineering judgement., • Access to world‑class experts: You'll share a building with biologists, roboticists, electronics engineers, and mathematicians. Few places let you tap that range of expertise on a single project., • Hybrid working environment: We're flexible about where you work on a day‑to‑day basis. We also love the energy of collaborating in person, so we'd love you to be in Cambridge for key meetings. By submitting an application to Cambridge Consultants, you confirm that the information provided in this application, together with any supporting documentation, is true, complete, and accurate to the best of your knowledge and belief. You understand that any false statement, misleading information, or material omission may render you liable to disqualification from the recruitment process, withdrawal of any offer of employment, or dismissal without notice if discovered following appointment. You acknowledge that the organisation reserves the right to verify the information supplied. #J-18808-Ljbffr

Build the debugger that helps developers unlock more from Graphcore AI processors. Build the debugger that helps developers unlock more from Graphcore AI processors. As a Senior Software Engineer in our Debugger team, you will help define and implement Graphcore's next-generation debugging capability. Your work will support developers building and optimising workloads on our advanced AI processors. You will adapt and expand debugger functionality, resolving complex issues across software and hardware boundaries. The tools you build will help internal and external users understand behaviour, improve performance and move faster. You will work closely with software, firmware, hardware, partner and customer teams. This role offers rare depth across processor architecture, toolchains and real developer workflows. Work happens close to the technology, with engineers expected to investigate deeply, speak up and take ownership. The team uses Agile ways of working to keep progress visible and decisions moving. You will collaborate across software, firmware and hardware teams to identify debug feature opportunities. Decisions are shaped by technical evidence, user needs and the judgement of engineers closest to the problem. • Experience using debuggers to resolve complex program issues., • Strong low-level programming skills in C, C++ or Rust., • Strong understanding of processor architectures., • Ability to communicate clearly across software, firmware and hardware teams., • A proactive, self-driven approach to improving product quality and functionality., • Familiarity with compiler toolchains, debugging protocols, Python, IDE development or PyTorch. While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes. • Flexible working: Balance your work and personal life with greater flexibility, • Generous leave: Take time to rest, recharge and enjoy life outside of work, • Retirement planning support: Up to 5% matched pension, • Phantom equity: Share in Graphcore's success, • Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day, • Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones, • Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover, • Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. If you want to shape the debugging experience for developers working on Graphcore AI processors, we'd love to hear from you. #J-18808-Ljbffr

We have an opportunity for a Senior Engineer in our AI & Algorithms team, working with a particular focus on our defence and security clients. You'll join a team of talented engineers and scientists designing, building and testing intelligent systems that solve hard, real-world problems, such as signal processing (sensor data, radar), vision, and information processing (transformers, edge AI). We have an opportunity for a Senior Engineer in our AI & Algorithms team, working with a particular focus on our defence and security clients. You'll join a team of talented engineers and scientists designing, building and testing intelligent systems that solve hard, real-world problems, such as signal processing (sensor data, radar), vision, and information processing (transformers, edge AI). As an AI Engineer, you'll take the technical lead on parts of our projects, mentor more junior colleagues, and play an active part in shaping and winning new work. With well-equipped labs and substantial computing resources behind you, you'll turn state-of-the-art research into systems our clients can depend on. Much of our defence and security work requires security clearance, so we ask for it up front. You won't work exclusively in that sector, but a genuine interest in it matters to us. Some examples of the projects we do can be found here. We offer a flexible approach to hybrid working, although some of the projects you will be working on will require full-time working in the office. • Applying data-driven software development in machine learning/AI, applied statistics, and sensor processing, alongside mathematical computing techniques such as digital signal processing, simulation, and numerical optimisation., • Taking technical ownership of significant parts of client projects, delivering quality work to budget and schedule with little supervision., • Acting as technical authority or technical lead on smaller projects and contributing to the technical direction of larger ones., • Mentoring and supporting less experienced engineers and helping them develop as technical consultants., • Working directly with clients to understand their problems, show what's possible, and build their confidence in our work., • Contributing to proposals and helping scope new work, translating client needs into credible technical approaches., • Building demonstrators and internal capability that showcase our expertise in defence, security and adjacent markets., • 3+ years' experience delivering applied AI and machine learning solutions, and the judgement that comes with it., • Strong Python programming skills and a solid grasp of modern software development practice., • A strong undergraduate degree in a relevant technical subject, such as AI/machine learning, computer science, mathematics, physics or theoretical physics., • A track record of delivering quality technical work in a team., • The ability to lead and mentor others., • An interest in working with clients and getting involved in proposals and sales conversations., • A genuine affinity for working in the defence and security sector. While not essential requirements, we would also be very interested if you have experience with any of the following: • Previous experience working on defence or security projects., • Technical experience with any of: signal processing, edge computing, statistical modelling, numerical optimisation, or simulation., • A PhD or published research in a data-driven field., • Experience leading or mentoring a small technical team. Because of where this role sits, holding (or being able to obtain) UK security clearance is essential. You must be eligible to obtain Security Check (SC) level security clearance (https://www.gov.uk/guidance/united-kingdom-security-vetting-applicant). You must be able to work in the UK without restrictions in accordance with UK National Law and be prepared to successfully undertake an appropriate level of UK National Security Vetting according to UK Government criteria. Cambridge Consultants creates exciting and novel breakthroughs in technology and products. Our work on intelligent systems area has helped create world-first and market-changing technologies including real-time AI-enhanced medical imaging, autonomous defence systems against cyberattacks, and edge algorithms to help visually impaired people navigate indoor spaces. We combine our research output with engineering rigour to create innovative and robust solutions to solve complex problems presented to us by our clients. We help clients across a diverse range of markets, including defence/security, healthcare, biotech, industrial and energy, so there is no shortage of variety. At the heart of what we do are talented and motivated multi-disciplinary teams empowered to create cutting edge technologies and systems to solve difficult problems for our clients. We offer a diverse, fun, and challenging work environment where you'll have the chance to work on a wide variety of projects that deliver real value using technology. We recognise and celebrate individual talent and we understand the importance of letting individuals be just that. Our people are here to do the best work of their lives and our job is to provide the platform for them to do it. #J-18808-Ljbffr

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they’re at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. Staying customer-centric, Inspiring dedication, Persevering, Growing by reflection. Huawei’s vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. The role is for a senior engineer with a strong background in computer graphics and GPU graphics algorithms to research, design and optimize core algorithms for next-generation graphics rendering pipelines. The successful candidate will conduct innovative research into advanced graphics technologies, including Ray Tracing, Path Tracing, Physically Based Rendering and screen-space effects. The candidate will also contribute deeply to the performance optimization and stability of core rendering modules, including geometry processing, shader compilation, texture management and GPU scheduling. The role will drive the integration of graphics theory and engineering practice, enabling the transition from visual realism to perceptual realism. The successful candidate will also continuously track emerging trends in graphics algorithms and contribute technical results through papers at leading conferences, industry white papers and technical blogs, strengthening the team’s technical influence. Advanced Graphics Algorithm Architecture Design and Innovation: Lead the research and system-level design of core algorithms for next-generation graphics rendering pipelines, covering Ray Tracing, Path Tracing, Physically Based Rendering (PBR), screen-space effects such as SSR and SSAO, DLSS/FSR and related technologies. Drive the deep integration of graphics theory and engineering practice, enabling the transition from visual realism to perceptual realism. High-Performance GPU Graphics Algorithm Development and Optimization: Contribute deeply to the low-level architectural design of graphics algorithms and perform extreme optimization for the parallel computing characteristics of GPUs. Be responsible for the performance tuning and stability of core rendering modules, including geometry processing, shader compilation, texture management and GPU scheduling, significantly improving frame rates while reducing latency and power consumption. Advanced Technology Research and Industry Impact: Continuously track emerging technology trends in graphics algorithms. Publish technical papers at leading conferences or provide in-depth insights through industry white papers and technical blogs, strengthening the team’s technical influence This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. BSc, MSc or equivalent degree in Computer Science, Computer Graphics, Electronic Engineering, Applied Mathematics or a related discipline. At least five years of hands-on experience in computer graphics, GPU graphics algorithms, real-time rendering or a related field. Strong understanding of modern rendering technologies and graphics pipelines. Hands-on experience in designing, implementing and optimizing high-performance GPU graphics algorithms. Knowledge of Ray Tracing, Path Tracing, PBR, screen-space effects, image reconstruction or related technologies. Practical experience in one or more areas, including geometry processing, shader compilation, texture management and GPU scheduling. Strong understanding of GPU parallel computing characteristics, graphics performance analysis and optimization. Good programming, algorithm design and engineering implementation skills. Hands-on experience with one or more of the following technologies: Vulkan, OpenGL ES, Metal, DirectX 11/12 or OpenCL. Self-motivated, well organized and a good team player. Good verbal and written communication skills in English. PhD in Computer Graphics, GPU Architecture or a related field. Publications at leading conferences or journals in the field of computer graphics. Experience in graphics algorithm architecture design and product implementation. Experience in producing industry white papers, technical blogs, patents or other high-quality technical publications. 33 days annual leave entitlement per year (including UK public holidays) Group Personal Pension Life insurance Private medical insurance Medical expense claim scheme Employee Assistance Program Cycle to work scheme Company sports club and social events Additional time off for learning and development #J-18808-Ljbffr

A PhD level Machine Learning Scientist is needed to join this amazing research team based near Cambridge. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play a key role in designing, implementing, and advancing cutting-edge methods in: • Reinforcement Learning (RL), • Large Language Models (LLMs), • Optimisation for Deep Learning You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. Experience Required: • A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field, • A track record of publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL) (This is essential), • Deep expertise in at least one of: RL, LLMs, or large-scale Optimisation for deep learning, • Good programming skills in Python and experience with deep learning frameworks, • A passion for advancing AI research and contributing to the global ML community Key selling points • Work on cutting-edge AI challenges with a talented, multidisciplinary team, • Collaborate with leading academic and industry partners, • Access to high-performance computing resources, • Publish your work at the leading conferences, • VISA sponsorship available If you’re driven by curiosity, thrive in a research-focused environment, and want to contribute to the next wave of AI innovation, then please apply today

Are you a Graduate or similar looking to progress and become a Control Systems Engineer with looking for a career in Automation / Controls Engineering, for a company offering expert training on writing and editing PLCs both in house and with manufacturers?. Graduate, Junior, Trainee, Engineering, Co

Electronics Engineer - Programme Manager - Medical Devices - Cambridge Due to a growth in company output, there is a need for a new Programme Manager who has an Electronics Engineering pedigree. Based in Cambridge, you will be leading several projects. Some projects will involve you offering support and mentorship to junior members of staff, while other projects will involve you taking on the Electronics design aspects yourself. We are looking for someone who has been working hands on developing new Medical Devices technologies in their current role, while mentoring other members of staff. Most projects will be on electro-mechanical Medical Devices, so you will need to have worked on these types of technologies. They could be implantable medical devices, wearable tech or another medical technology that abide by EN60601 standards. Alongside past work experience, it is expected that you hold a relevant degree within a suitable subject that led you into a Medical Devices Electronics Engineering role. It would also be advantageous if you hold a master's or PhD, but not essential as the active work experience in industry is more important. The types of technologies you will be developing are lifesaving and life improving medical devices, truly industry disrupting technologies that will save and improve thousands of people's lives. This role will involve working with external and internal entities, involving a lot of communications both virtual and in real life, due to this it would be advantageous if you have worked in a role that involved communicating updates and project changes continuously. I mentioned knowing about EN60601, but it would also be essential to have a strong understanding of ISO 13485. People who have been successful in this role previously tend to have a highly technical hobby, this could be building drones, tinkering with engines, computer programming or another hobby that involves problem solving. If you do have such a hobby, make sure you highlight it on your CV to give you the best chance of gaining an interview. Apart from working on industry changing technologies, you will be offered a proven career development plan, continuous training to keep you at the forefront of the medical devices sector, excellent salary, bonus, enhanced pension, medical insurance, free meals and other excellent benefits you'd expect from a multinational blue-chip organisation. I expect a lot of interest in this role, so apply now or ensure consideration. For more information, please contact Andrew Welsh, Director of Medical Devices, Biotech and Drug Discovery Recruitment at Newton Colmore, on . Alternatively, submit your application and a member of our team will be in touch. Please note that without a CV, we can only provide limited information.

An award-winning High-Tech Design and Manufacturing Company seeks a proactive Software Engineer with strong modern C++ programming skills (on Windows) to contribute to the design of high-performance, reliable software systems.You’ll work across the full development life-cycle with a focus on effic

We are seeking a highly motivated and experienced Microservices Developer to join our growing team. You will be responsible for designing, developing, and deploying microservices using GoLang within a cloud-native environment. This role requires a strong understanding of Golang programming language, microservice architecture, containerization, and cloud technologies. You will work closely with other developers and cloud operations teams to ensure the successful delivery of high-quality software. • 8+ years of experience in software development with at least 3+ years of experience in GoLang., • Strong understanding of microservice architecture, principles, and design patterns., • Should have knowledge of developing microservice using Agile Methodology., • Experience in designing, developing, and consuming RESTful APIs (OpenAPI 3.0)., • Proficiency in writing unit, integration, functional tests and System test using GoLang testing frameworks., • Experience using Atlassian tools for project management and collaboration., • Solid understanding of Git and JIRA., • Excellent communication, collaboration, and problem-solving skills., • Should have good working knowledge and configuration knowledge of MongoDB., • Strong Debugging skills., • Should have working experience in Design document creation ( LLD,HLD,UML,API Specification etc.,), • Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes., • Knowledge of CI/CD pipelines and tools like Jenkins., • Experience of using AI will be added advantage. #J-18808-Ljbffr

• Reporting to the Director of CONNECT Core Services, you will provide technical leadership for the design and implementation of AVEVA’s cloud platform capabilities using Microsoft Azure. You will work across teams to shape architecture, guide complex technical decisions, and promote modern cloud engineering practices, • Lead the technical design and implementation of secure, resilient cloud platform capabilities for AVEVA CONNECT Core Services, • Guide architecture and engineering decisions across microservices, REST APIs, data design, CI/CD, and infrastructure as code, • Provide technical leadership to development teams, supporting complex problem-solving, design reviews, and delivery quality, • Promote cloud technologies, modern engineering practices, and AI-assisted development tools across AVEVA, • Collaborate with Directors, architects, product teams, and engineering stakeholders to align technical direction with platform and business priorities, • Time off: 28 days of annual leave, plus bank holidays. You can also buy/sell five days a year, • Emergency leave: Five days a year to use when unexpected or urgent events make it impossible to work, • Hybrid working: The default option for employees is a 3:2 split between the office and working from home. Some positions are fully remote and others are fully office-based—refer to the job listing for specific details, • Parental leave: Maternity leave comprises 18 weeks at full pay, followed by 21 weeks statutory pay and 13 weeks unpaid. Paternity leave is two weeks at full pay. Pension contributions and benefits are maintained throughout, • Workplace nursery scheme: Pay for your child’s nursery directly through payroll, saving tax and NI contributions, • Electric care lease: Use your flexible benefits fund to subsidize the pre‑tax leasing of a brand‑new electric or ultra‑low‑emission car, • Shopping vouchers: Use your flexible benefits fund on discounts and vouchers for many major retail, tech and restaurant chains, • BUPA private healthcare: BUPA healthcare is a core benefit for employees. Use your flexible benefits fund and/or salary sacrifice to add family members, • Anonymous counselling: Through our Modern Health benefit, employees and their dependents over 13 are eligible to use our mental health app and receive unlimited counselling and coaching each year, • Dental insurance: Use your flexible benefits fund to cover preventative and restorative treatment. You can also add coverage for family members, • Cycle to work: Buy a brand‑new bike and save 25–40% on retail price thanks to tax savings, • Gym membership: Use your flexible benefits fund to discount a membership to a major gym chain, • Bonus: Based on a combination of your own performance and AVEVA’s financial results, • Pension: Use your flexible benefits fund to increase the standard employer contribution. You can also route your bonus directly into your pension, saving tax and NI, • Income protection: Secure a reliable income if you’re unable to work due to long‑term sickness or injury, • Life assurance: In the event of your death, your loved ones will receive a lump sum, • Charitable giving: The Action for Good program gives you three days of paid volunteering every year, as well as match funding opportunities. You can also use your flexible benefits fund to give to charity pre‑tax, • Professional development: Access to LinkedIn Learning gives you the chance to grow your knowledge and skills, while AVEVA’s extensive mentorship network allows you learn from colleagues across the company, • Education support: After one year with AVEVA, you can apply for support towards a relevant course or qualification. AVEVA will reimburse up to 70% of the cost, • Service recognition: Whether you’ve been with us for 12 months or 50 years (it’s happened!), the AVEVAversary program rewards you during milestone years with cash and time off. We also recognize your contributions by planting a tree in the AVEVA Forest, our global forest of recognition This role is suited to a highly experienced technical leader who remains hands‑on, can turn technical vision into delivery, and can help raise engineering standards across a fast‑moving cloud platform environmentExperience with C#/.NET or multiple programming languages, plus a strong understanding of database design, CI/CD, and infrastructure as codeExperience with Microsoft Azure or other cloud platformsStrong design and coding skills, with a reputation for delivering high‑quality technical outcomesTechnical leadership experience, including guiding teams, shaping architecture, or influencing engineering directionExperience developing microservice or service‑oriented architectures and designing REST APIsExperience designing and delivering complex enterprise or cloud platform solutionsExperience with Angular or equivalent web development frameworksExperience with Kubernetes, containers, or cloud‑native application platformsExperience using AI‑assisted coding tools to improve engineering productivity and software qualityStrong communication, ownership, adaptability, and curiosity, with the ability to motivate others and lead through technical influence #J-18808-Ljbffr

As the pioneers who introduced RISC-V to the world, SiFive is transforming the future of compute by bringing the limitless potential of RISC-V to the highest performance and most data-intensive applications in the world. SiFive’s unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer. With SiFive, the future of RISC-V has no limits. At SiFive, we are always excited to connect with talented individuals, who are just as passionate about driving innovation and changing the world as we are. As the pioneers who introduced RISC-V to the world, SiFive is transforming the future of compute by bringing the limitless potential of RISC-V to the highest performance and most data-intensive applications in the world. SiFive’s unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer. With SiFive, the future of RISC-V has no limits. At SiFive, we are always excited to connect with talented individuals, who are just as passionate about driving innovation and changing the world as we are. Our constant innovation and ongoing success is down to our amazing teams of incredibly talented people, who collaborate and support each other to come up with truly groundbreaking ideas and solutions. Solutions that will have a huge impact on people’s lives; making the world a better place, one processor at a time. Are you ready? To learn more about SiFive’s phenomenal success and to see why we have won the GSA’s prestigious Most Respected Private Company Award (for the fourth time!), check out our website and Glassdoor pages. • Architect, design and implement new features, performance improvements, and ISA extensions in RISC-V CPU core generators using Chisel., • Integrate new design content into SiFive’s Chisel/FIRRTL framework and contribute to improvements to that framework to enable automatic configuration/generation of documentation, verification testbenches and tests, and packaged software., • Perform initial sandbox verification, and work with the design verification team to create and execute thorough verification test plans., • Work with the physical implementation team to implement and optimize physical design to meet frequency, area, and power goals., • Collaborate with the performance modeling team for performance exploration and optimization to meet performance goals., • Microarchitecture development and specification. Ensure that knowledge is shared via great documentation and participation in a culture of collaborative design., • BS/MS degree in computer science, computer engineering, electrical engineering or related field, or equivalent experience., • 3+ years of design experience., • Academic or professional experience with CPU RTL design in one or more of the following areas: instruction fetch, instruction decode, branch prediction, coherent caches, cache prefetching, TLBs., • Proficiency in hardware (RTL) design in Verilog, System Verilog, or VHDL., • Strong software engineering skills/background, including:, • Object-oriented, aspect-oriented, and particularly functional programming, • Templated metaprogramming, in any language, • Compiler infrastructures, particularly for domain-specific languages, • Data modeling, particularly intermediate representations for optimizing or transforming compiler passes, • Test-driven development, particularly ability to write adaptive unit tests, • Attention to detail and a focus on high-quality design., • Ability to work well with others and share the belief that engineering is teamwork., • Experience with Scala/Chisel, Bluespec, or some other language/DSL for expressing configurable hardware via software., • Knowledge of RISC-V architecture., • Expertise in CPU processor designs in one or more of the following areas is a plus: instruction fetch; instruction decode; register renaming and instruction scheduling; vector units; load-store unit., • Knowledge of verification principles, testbenches, UVM, and coverage., • Experience with Git/Github, Jira, Confluence. Consistent with SiFive values and applicable law, we provide the following information to promote pay transparency and equity. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline, and our compensation range reflects the cost of labor in the U.S. geographic market based on the location of the role. Pay within these ranges varies and depends on job-related knowledge, skills, and relevant work experience. For candidates who receive and offer, the starting salary will vary based on various factors including, but not limited to, such qualifications as, skill level, competencies, and work location. The range provided may represent a candidate range and may not reflect the full range for an individual tenured employee. Base Pay Range $158,760.00-$194,040.00 In addition to base pay, this role may be eligible for variable/ incentive compensation and/ or equity. In addition, this role is eligible for a comprehensive, competitive benefits package which may include healthcare and retirement plans, paid time off, and more! This position requires a successful background and reference checks and satisfactory proof of your right to work in United States of America Any offer of employment for this position is also contingent on the Company verifying that you are a authorized for access to export-controlled technology under applicable export control laws or, if you are not already authorized, our ability to successfully obtain any necessary export license(s) or other approvals. SiFive is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. As an E-Verify employer, we use this system to confirm the employment eligibility of all new hires in accordance with federal law. All applicants will be required to complete a Form I-9, Employment Eligibility Verification, upon hire. We do not use E-Verify to pre-screen job candidates and will comply with all E-Verify regulations. California residents: please see our job candidate notice for more information on how we handle your personal information and your privacy rights: Privacy Policy Document. #J-18808-Ljbffr

Machine Learning Engineer Location – Cambridge Salary – £60,000-£120,000 Hexwired has partnered with an innovative technology company developing advanced AI and machine learning solutions for complex, real-world applications. They are looking for a Machine Learning Engineer to join a multidisciplinary R&D team in Cambridge working on cutting-edge machine learning projects from concept through to deployment. The Role • Research and develop innovative AI/ML solutions for challenging technical problems., • Design, train and evaluate machine learning models across a variety of applications., • Rapidly prototype, test and optimise new ideas., • Analyse research papers and apply the latest ML techniques., • Design experiments, interpret results and present technical findings. Requirements • Strong degree in Computer Science, Mathematics, Physics, Engineering or a related STEM subject., • Commercial or research experience in Machine Learning (industry, PhD, MSc or personal projects)., • Strong Python programming skills., • Experience with one or more ML frameworks such as PyTorch, TensorFlow, Keras or JAX., • Strong analytical, problem-solving and communication skills. The company are rapidly expanding and are at the forefront of their industry. They are looking to pay circa £60k - £120k along with a comprehensive benefits package. If you’re interested in this Machine Learning Engineer job in Cambridge, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation, contact us today #J-18808-Ljbffr

At CesiumAstro, we are developers and pioneers of out-of-the-box communication systems for satellites, UAVs, launch vehicles, and other space and airborne platforms. We take pride in our dynamic and cross-functional work environment, which allows us to learn, develop, and engage across our organization. If you are looking for hands-on, interactive, and autonomous work, CesiumAstro is the place for you. We are actively seeking passionate, collaborative, energetic, and forward-thinking individuals to join our team. We are looking to add a Senior RF Engineer II to our team. The ideal candidate has experience in board-level RF electronics design. If you enjoy working in a startup environment and are passionate about developing leading-edge RF hardware for satellites, spacecraft, and aerospace systems, we would like to hear from you. In this position, you will be responsible for RF circuits and systems through all phases of the development process. The ideal candidate will be proficient in board-level schematic design and PCB layout of RF circuits, and system-level communications concepts such as link budgets and modulation schemes. The work will include many aspects of phased array communication systems, including RF front-ends, frequency converters and synthesizers, filters, beamformers, power dividers, and phased array antennas. As a Cesium hardware team member, you will be responsible for RF hardware designs from initial concept through requirements definition, part selection, detailed design, analysis, manufacturing, testing, qualification, and in-orbit support of Cesium's products. Hardware design tasks will include block diagrams, detailed schematics, PCB layout and routing, simulations, and test design. The successful candidate will also present engineering design review materials to our customers and executive team, as well as participate in proposal-writing efforts. As such, excellent written and verbal communication skills are required. • A Bachelor of Science (BS) or Master of Science (MS) degree in Electrical Engineering (EE) from an accredited university or institution., • 6+ years of industry experience in design and analysis of RF electronics design, analysis, test, and troubleshooting., • Experience with professional simulation tools such as CST and ADS, as well as EDA tools such Altium., • Hands-on experience with lab instruments such as vector network analyzers, spectrum analyzers, signal generators, and oscilloscopes., • Excellent written and verbal communication skills., • Experience with MATLAB or other programming languages., • Experience in aerospace electronics design, development, and qualification., • Knowledge of worst-case circuit analysis, failure method and criticality analyses, and reliability analysis., • Experience with antenna design., • Knowledge of EMI/EMC design and mitigation techniques. CesiumAstro considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, and key skills. Please be aware that many roles will be subject to both security and export control restrictions. These restrictions mean that factors including new starter’s nationality, any previous or dual nationalities held, place of birth and country of residence may limit those roles that you can perform for the organisation. As a note: CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any unsolicited resumes submitted to our website or to CesiumAstro team members not through our approved vendor list or Talent Acquisition will be considered property of CesiumAstro, and we will not be obligated to pay any referral fees. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr

Are you energized by solving complex technical problems while working directly with customers? Join our team building high-performance data access solutions that power critical workloads across AWS. We're creating open source systems software that enables applications to achieve breakthrough throughput when accessing Amazon S3, working across multiple programming languages including Rust, and diving deep into file system architectures and container orchestration. In this role, you'll tackle challenging problems with limited data, transforming ambiguity into elegant solutions. You'll work at the intersection of distributed systems, systems programming, and customer needs—designing software that handles massive scale while maintaining exceptional performance. Your technical depth and problem-solving skills will directly impact how customers access and process data at scale. • Design, develop, and maintain high-performance client software for Amazon S3, ensuring scalability, reliability, and optimal throughput for customer workloads, • Engage directly with customers and product managers to understand requirements, gather feedback, and translate business needs into technical solutions that solve real-world data access challenges, • Contribute significantly to the full software development lifecycle including code reviews, testing, deployment, and operational support, while identifying and resolving root causes of issues in distributed systems, • Dive deep into complex technical domains such as Kubernetes integration, Rust systems programming, and file system implementations to debug issues and implement optimizations, • Collaborate on open source projects across multiple programming languages, writing clear documentation and training team members on system architecture, operation, and maintenance You might spend your morning collaborating with customers to understand their unique data access patterns and challenges, then transition to pairing with product managers to refine upcoming features. Your afternoon could involve diving deep into Kubernetes integration issues, optimizing Rust code for better performance, or debugging complex file system behaviors. Throughout the day, you'll participate in code reviews, share knowledge with teammates, and balance new feature development with operational improvements. Our team owns high-throughput access clients that enable customers to process massive datasets efficiently. We're focused on building performant, reliable open source systems software that pushes the boundaries of data access at scale. Our mission is to make Amazon S3 seamlessly accessible for the most demanding workloads, from machine learning training to high-performance computing. We value collaboration, technical curiosity, and direct customer engagement. Our culture encourages experimentation with new technologies and languages while maintaining operational excellence. You'll work with engineers who are passionate about systems programming and committed to mentoring each other as we tackle increasingly complex challenges in distributed systems and cloud storage. • Experience building complex software systems that have been successfully delivered to customers, • Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design, • Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence, • Bachelor's degree in computer science or equivalent, • Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations, • Knowledge of system performance, memory management, and parallel computing principles Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult your Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Evi Technologies Limited Job ID: A10526657 #J-18808-Ljbffr

CommonAI CIC is a non-profit membership organisation, founded on a belief in collaborative engineering for the safe and responsible development of foundational AI technologies. A place where AI startups, enterprises large and small, public sector bodies and academia can share resources and knowledge, to codevelop and grow businesses, fast. We are led by experienced founders, investors and engineers who believe that collaborative engineering drives faster AI innovation and are backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems. We're seeking a highly skilled Software Engineer to work on Panopticon, a new AI framework equipped with stringent control and compliance protocols. Aimed primarily at highly regulated sectors such as financial services and healthcare, Panopticon is a core component of our High Assurance programme. It is designed to enable AI systems to be used safely in high-risk environments where accuracy, explainability, and accountability are a hard requirement. Panopticon is written in Rust, leveraging its memory safety and performance characteristics to build a robust, secure infrastructure that provides mathematical proof of correct outputs, sandboxed execution, and intelligent filtering. As an AI-first company, we strongly believe in collaborative engineering powered by the tools we are helping to build. This role places a major emphasis on using LLMs, AI coding assistants, and autonomous agents for software development. • Design, build, and maintain core components of the Panopticon framework using idiomatic Rust., • Develop secure execution environments, multi-model validation pipelines, and intelligent filtering systems to prevent data leakage and policy violations., • Extensively utilise LLMs, AI agents, and advanced coding copilots to write, test, and refactor code, actively seeking ways to accelerate feature development and deployment without compromising on quality., • Architect systems that integrate safely with foundation models and user environments, ensuring strict compliance and governance frameworks are adhered to., • Review AI-generated code for security, performance, and correctness, establishing CI/CD pipelines optimised for AI-assisted workflows., • Collaborate with CommonAI’s members to translate theoretical compliance protocols into production-ready software., • Proven experience building systems in Rust and familiarity with the ecosystem’s best practices., • Strong understanding of software architecture, systems programming, and secure coding practices., • Direct experience and high proficiency in using LLMs and AI agents for software development (e.g., prompt engineering for code generation, experience with tools like Cursor, GitHub Copilot, or bespoke autonomous agents for code review and iterative development)., • Familiarity with the challenges of deploying AI in enterprise environments (e.g., security vulnerabilities, regulatory risk, auditability)., • Ability to debug complex software systems and optimise for latency, safety, and scalability., • Strong problem-solving skills and a passion for redefining how software is written using AI., • Background in highly regulated industries such as financial services, banking, or healthcare., • Familiarity with formal verification, applied cryptography, or verifiable compute., • Experience with sandboxing technologies (e.g., WebAssembly/Wasm, lightweight VMs, containers)., • Understanding of modern AI tooling, foundation model APIs, and deployment pipelines., • Contributions to open-source Rust projects or AI development tools (please include links to relevant projects, GitHub repositories, or technical blogs in your application)., • A collaborative and supportive work environment, • The opportunity to have a high impact in a growing organisation, • Competitive salary package and pension, • Professional development opportunities, • Networking opportunities with influential people from across the tech sector, financial services, and academia, • A vibrant office environment located a few minutes' walk away from Cambridge train station CommonAI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace. #J-18808-Ljbffr

At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. As a research engineer at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialized hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower-level programming and performance optimisation for hardware efficiency. Our research spans a broad range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and beyond. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help to steer the future of AI hardware. Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world. We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations. Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you! • Generate AI/ML ideas, design experiments, implement them and evaluate results., • Prepare, submit and present your work to AI conferences and workshops., • Provide technical insight to internal teams by designing experiments and delivering clear, actionable reports., • Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware. Essential: • Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry)., • Python programming in a modern deep learning framework, e.g. PyTorch or JAX., • Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling., • Capable of designing, executing and reporting from ML experiments., • Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton., • Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling., • Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA #J-18808-Ljbffr

AVEVA is creating software trusted by over 90% of leading industrial companies. Job Title: Senior Cloud Software Developer Location: Cambridge, United Kingdom (Hybrid) Employment Type: Full-time Join AVEVA’s Core Services team to design and implement secure, resilient cloud platform capabilities using Microsoft Azure. This Senior-level role is suited to an experienced developer with a strong record of delivering complex technical solutions and an interest in cloud development. You will work as part of an agile team, contribute to design decisions, build high-quality services, and use modern engineering practices, including AI-assisted development tools, to improve productivity and software quality. • Design, develop, and maintain secure, resilient features for AVEVA CONNECT Core Services, • Contribute to technical design and implementation decisions across cloud and service-based architectures, • Build and improve services using modern engineering practices, including CI/CD and infrastructure as code, • Use AI-assisted development tools to support engineering productivity, code quality, and delivery, • Work collaboratively in an agile development team and share knowledge on cloud technologies and practices., • Strong design and coding skills, with a record of delivering high-quality technical outcomes, • Experience developing microservice or service-oriented architectures, • Good understanding of REST API design principles, • Experience with C#/.NET or multiple programming languages, plus an understanding of database design, CI/CD, and infrastructure as code, • Experience with cloud development, especially Microsoft Azure, • Experience with Kubernetes, containers, or cloud-native application platforms, • Experience with Angular or an equivalent web development framework, • Experience using AI-assisted coding tools to improve engineering productivity and software quality, • Strong communication, adaptability, curiosity, ownership, and motivation to solve technical challenges in a fast-moving environment We recognise that no candidate ticks every box. If you bring curiosity, ambition, and a willingness to grow, we’d love to hear from you. Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke – it’s the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us. Find out more: aveva.com/en/about/careers/r-and-d-careers/ • Flexible benefits fund, • emergency leave days, • adoption leave, • 28 days annual leave (plus bank holidays), • pension, • life cover, • private medical insurance, • parental leave, • education assistance program. It’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out more: aveva.com/en/about/careers/benefits/ We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process. Find out more: aveva.com/en/about/careers/hiring-process AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/ Find out more: aveva.com/en/about/careers/ AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria. AVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify our recruiter. Determinations on requests for reasonable accommodation will be made on a case‑by‑case basis. AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals and minerals – safely, efficiently and more sustainably. We’re the first software business in the world to have our sustainability targets validated by the SBTi, and we’ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We’ve also recently been named as one of the world’s most innovative companies. If you’re a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers. For more information about our privacy policy and how to manage cookies, visit our Privacy Policy. #J-18808-Ljbffr

Arm Solution Engineering organization delivers complex solutions from systems specifications, through FE & validation, physical implementation and silicon. Arm Solution Engineering organization delivers complex solutions from systems specifications, through FE & validation, physical implementation and silicon. Join our dynamic Front End design team, a key part of Arm's SE SoC Engineering! We are a dedicated group of engineers developing complete subsystem solutions (GPU Subsystem, Control Subsystems ) and Reference Platform designs for a wide range of market segments including automotive, mobile, server and more. Our solutions build on outputs from Arm IP teams, leveraging the latest Arm IP and selected third-party components to deliver fully integrated, optimized subsystem designs that are incorporated into SoCs targeting edge AI, physical AI, and cloud AI applications. As a member of the design team, you will be involved in the specification, design and verification of various subsystems and/or testchips. Your key responsibilities will include developing the RTL and design intent deliverables (SDC, UPF), integrating IPs, running various design checks and writing part of micro-architecture specification. Additionally, you will work with the verification team to review test plans and help debug design issues and the implementation team to optimise those designs. You will plan your work, provide tracking and report status in order to ensure high-quality and timely delivery. • Hands-on working knowledge of System Verilog or Verilog HDL for RTL design, • Solid understanding of RTL design for complex SoC development, • Experience in the following areas: static design checks, power and clock domain crossing, synthesis, • Strong understanding of computer architecture and systems fundamentals, with hands‑on experience in complex system design— involving CPU, GPU, multimedia IP (camera, display, video), interconnects, memory controllers, and high-performance peripherals., • Knowledge of UNIX environment and scripting eg Python, Perl or UNIX shell scripting, • Ability to write specifications and documentation describing complex designs, • Exposure to Arm-based designs, Arm System Architectures and AMBA standards., • High level programming experience such as C/C++ and/or assembly language programming, • Participation in large scale complex SoC development projects, • Experience of Functional Safety product development for the Automotive market (applying standards such as ISO 26262 and/or IEC 61508) With offices around the world, Arm is a diverse organisation of dedicated, creative, and highly hardworking engineers. By enabling a dynamic, inclusive, meritocratic, and open workplace, where all our people can grow and succeed, we encourage our people to share their outstanding contributions to Arm's success in the global marketplace. Please note that no relocation package is available for this role. If skilled worker sponsorship is required, Arm will meet costs associated with sponsorship for the employer only. All fees associated with the individual’s application e.g. visa application fee and Immigration Health Surcharge, will be the responsibility of the successful candidate. At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email accommodations@arm.com . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. £97,300 - £131,700 per year #J-18808-Ljbffr

This is an excellent opportunity to join Arm's Partner Enablement group! Applications Engineering is a multifaceted and wide-ranging role that combines deep technical expertise with outstanding interpersonal skills. We help Arm's partners build real world applications based on Arm technology. Our partners scale from big semiconductor houses to small start-ups, and all of them are building new exiting products. This role gives the possibility to be on the forefront of technological evolution and accelerate innovation. This role focuses on supporting our Computer Vision and Machine Learning software solutions deployed by OEMs, ODMs, and ecosystem partners for Edge and Physical AI applications. You will contribute directly at a technical level to customer and partner enablement, working closely with engineering teams and other technical experts to ensure successful adoption and deployment of Arm technologies. You will join a highly skilled team, working directly with customers and partners to provide technical support, training, documentation, and enablement throughout their development journey. There is significant potential for technical innovation and career development as new technologies and Arm ambitions emerge. • Provide technical support to partners on firmware, software, Machine Learning, and Computer Vision related issues on Arm-based systems., • Work closely with hardware, ML, and applications engineering peers, as well as cross-functional teams across Engineering, the Business Unit landing team, and Product Management., • Investigate and reproduce complex customer issues, working with engineering teams to identify root causes and drive resolution., • Deliver customer training sessions, workshops, and technical presentations., • Provide technical support during major customer project milestones, including platform bring-up and integration activities., • Share technical expertise and mentor less experienced engineers., • Travel occasionally to Arm sites and partner locations., • 10+ years in firmware/software development, • Strong C/C++ programming skills, • Deep understanding of SoC architecture, • Knowledge of Machine Learning and Computer Vision software stacks, • Experience debugging from firmware to OS/application layers, • Knowledge of the workings of Rich OS such as Linux from application layer to driver development, • Solid grasp of Arm processor architecture, • Ability to collaborate and provide technical leadership across geographically distributed and cross-functional teams., • Excellent communications skills both written and verbal, • Experience with AI/ML frameworks such as TensorFlow, PyTorch, ONNX, or inference runtimes., • System bring-up and JTAG debugging expertise, • Good background of system performance analysis, • Experience with RTL simulation tools and software development tools You’ll gain deep exposure to real‑world applications built on Arm architectures, sharpen both your technical and interpersonal skills, and contribute directly to accelerating technological evolution across the industry! #LI-JW1 At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #J-18808-Ljbffr

Location: Cambridge, UK - This position offers flexible working options, including predominantly remote work. Applicants are preferably based (or willing to relocate) within a comfortable commuting distance of our office to attend onsite as required. Want to work on the core technologies that power the RuneScape franchise and help shape the future of Jagex's platform capabilities? The Game Engine team is responsible for enhancing and optimising RuneTek, our cross-platform game engine with a heavy focus on rendering technologies that help drive development of the game engine. As a member of the Game Engine Team you will be responsible for the successful delivery of complex technical solutions, working with our production and game development teams to help realise Jagex's vision for its games. What you'll be doing: • Enhance and maintain our engine technology and code libraries, spanning networking, audio, input, file system, maths libraries, threaded job systems and tools interoperability., • Research, innovate and develop new game engine technology, delivering it production-ready and keeping our industry-leading tech ahead of the competition., • Contribute code that is scalable, robust, highly available and performant, meeting the standards, principles and best practices of the department., • Deliver on projects of moderate scope, complexity and critical business impact, working as part of a team to balance product, production and engineering priorities., • Stay proactive in making our game technology faster and more effective, spotting improvements to systems and processes and helping evaluate off-the-shelf and in-house solutions., • Shape your own specialism over time, whether that's graphics, networking, audio or animation, with genuine mentorship and support from the team. What we're looking for: • Demonstrable game engine development experience in modern C++, working alongside GLSL and Python., • Experience profiling CPU, GPU and memory at both a high and low level, monitoring performance in live products and turning what you find into real fixes., • Experience on AAA threaded renderers powered by OpenGL and Vulkan, with GLSL as the primary shading language., • Comfortable maintaining build systems for C++ codebases - CMake experience is an advantage., • Experience with test-driven development., • Java programming experience is a bonus. What we offer: When you join Jagex you can look forward to a generous Perks & Benefits package including: • Private Healthcare, including Dental Plan., • Discretionary annual performance bonus., • Minimum 6% Pension contributions., • Life Insurance., • Enhanced family leave policies from day 1., • Flexible working hours., • 25 days annual leave + Bank holidays & the option to buy/sell holidays + so much more! Inclusion & Accessibility Statement We are committed to providing equal opportunities and creating an environment where everyone can thrive. We welcome applications from all backgrounds, and we recruit, develop, and promote based on merit and ability. If you require any reasonable adjustments to support you during the recruitment process, please let us know when you're invited to interview. Right to Work Statement This role is only open to applicants who have the permanent right to work in the UK. We are unable to provide or take over visa sponsorship for this position, either now or in the future. Applicants must therefore be able to demonstrate their ongoing eligibility to work in the UK without the need for employer sponsorship. About Jagex We are Jagex: The RuneScape Company. Home to one of gaming’s most enduring success stories. We create deep, community-powered games with worlds that evolve, inspire, and endure. Our flagship MMORPG franchise, RuneScape, has welcomed over 300 million player accounts, inspiring generations of players across PC and mobile for 25 years. As we begin our 26th year, we are accelerating our strategy to expand RuneScape into a broader ecosystem of forever games and connected experiences, grounded in a renewed commitment to integrity and fair play. This includes the reduction of monetisation mechanics, as well as the launch of RuneScape: DragonWilds into Steam Early Access in 2025, representing a major step in building a multi-genre future for the RuneScape universe. We remain focused on building enduring worlds, empowering player-led innovation, and laying the foundations for the boldest era in RuneScape’s history. For more information, visit https://www.jagex.com/ . Headquartered in Cambridge, United Kingdom, we are home to passionate creators, storytellers, engineers, and even a few dreamers, all united by a single mission to shape the future of online worlds and empower players to make them their own. We're looking for people to join us who share our ambitions and values. We foster an inclusive workplace built on trust, autonomy, and a shared passion for creating experiences that inspire our communities. Our values guide everything we do: We Embrace Fellowship by collaborating and sharing openly. We Hone our Craft by always learning and improving; We Honour our Vows by being honest and transparent; We are our Customers' Heroes by striving to understand our team & player needs, and We Seize The Day by making the most of every opportunity. Join us. The next era of RuneScape and the next chapter of Jagex: The RuneScape Company starts now. #J-18808-Ljbffr

• Contribute directly to the design, implementation, maintenance and improvement of industrial optimisation software and related numerical modelling components., • Investigate complex mathematical, algorithmic and software engineering problems independently and drive them through to resolution., • Take ownership of large or technically challenging work items, breaking them down into manageable tasks and making sound implementation decisions with minimal supervision., • Work effectively within an existing and in some areas legacy codebase, balancing respect for established team practices with thoughtful technical improvement., • Apply strong mathematical reasoning to modelling, optimisation and algorithmic challenges., • Support the robustness, performance, quality and maintainability of optimisation code through effective debugging, profiling and diagnosis of build/runtime issues through extensive automated unit and regression testing., • Demonstrate the potential to lead technical projects or workstreams over time, even where no formal leadership responsibility is assigned initially., • Provide guidance, coaching and technical support to less experienced developers where appropriate., • We are looking for a Senior Optimisation Developer with a strong mathematical background and experience in numerical modelling or mathematically intensive software development. This is a hands-on senior software development technical role within the USC Optimisation team. The team develops advanced optimisation technology that helps refineries improve operational efficiency and supports complex refinery planning. The position is ideal for someone who can independently investigate complex problems, work effectively in an established codebase, and grow into broader technical leadership over time. Experience in linear algebra and/or Lagrangian analysis is highly desirable. Programming ability is required, but prior C++ experience is not essential. The ideal candidate will have both postgraduate/research experience and industry experience however, candidates with either are encouraged to apply., Strong mathematical background, supported by a postgraduate qualification (MSc, PhD, or equivalent experience)., • Proven programming ability in at least one relevant language. (e.g. C++, C, C#, Fortran), • Experience of numerical modelling or mathematically intensive software development., • Demonstrated potential to lead projects or technical workstreams, even if formal leadership experience has not yet been required., • Ability to work effectively in a complex and evolving codebase., • Ability to communicate technical concepts clearly and work collaboratively with other developers., • Relevant industrial, research or advanced technical experience., • We welcome candidates from a range of mathematically intensive backgrounds with experience in modelling, simulation, or similar analytical fields. Relevant academic or professional backgrounds may include:, • applied mathematics, • theoretical physics, • operations research, • engineering disciplines with strong mathematical modelling content, • computer science with significant numerical or algorithmic depth, • other computational science, • Desired skills and competencies, • Experience using and maintaining build and meta-build systems., • Experience of debugging tools, including debuggers, performance profilers and memory profilers., • Experience with source control systems and continuous integration/continuous development i.e. git and Azure DevOps., • Background in one or both of:, • Linear algebra, • Lagrangian analysis, • Problem solving - able to break down difficult technical and mathematical problems and develop practical, effective solutions., • Critical thinking - evaluates evidence objectively and makes reasoned technical judgements., • Coaching - supports and uplifts others through knowledge sharing and technical guidance., • Collaborative relationships - works effectively with colleagues across the team and wider organisation., • Influencing - able to shape technical direction through credibility, logic and constructive argument rather than authority., • Conceptual thinking - able to think beyond the immediate task and consider broader architectural, mathematical or maintainability implications., • Technical leadership potential - shows the capacity to grow into a broader leadership role over time through ownership, judgement and consistency., • Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3d design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke - it's the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us. Find out more: aveva.com/en/about/careers/r-and-d-careers/ UK Benefits include: Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program. It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out more: aveva.com/en/about/careers/benefits/ Hybrid working We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process. Find out more: aveva.com/en/about/careers/hiring-process AVEVA is a global leader in industrial software with more than 6500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals and minerals - safely, efficiently and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/ AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. #J-18808-Ljbffr

This position is an excellent opportunity for an experienced and highly motivated verification engineer to join the Arm Systems Media IP team! The team is responsible for the development of Image Signal Processors (ISPs), Display Processors, and Video codecs for deploying within Arm Compute Subsystems for various end markets, including automotive, IoT, and client market segments. Our intellectual property encompasses RTL, reference drivers, tools, and libraries, enabling our customers to build upon our work to create innovative products! • Own and drive verification for a DPU subsystem comprising multiple units, or for a particularly complex DPU unit, from early planning through sign-off., • Contribute to the overall DPU verification architecture, planning, integration strategy and quality criteria., • Architect reusable, scalable and high-performance SystemVerilog/UVM environments and verification IP., • Define verification plans, coverage models, sign-off criteria and measurable quality goals for the owned verification scope., • Identify technical and schedule risks early, establish mitigation plans and drive them to resolution across teams., • Review proposed architecture and design changes for correctness, observability, testability, performance and verification complexity., • Lead the resolution of complex unit-level, cross-unit, integration or system-level failures., • Align verification activities and dependencies across the relevant unit, subsystem and DPU teams., • Drive improvements in verification methodology, automation, reuse, regression efficiency, debug and continuous integration., • Use verification data to identify quality gaps, improve bug discovery and guide engineering priorities., • Influence project planning and technical decisions through clear, evidence-based recommendations., • Build effective links with architecture, design, software and other Arm engineering teams to ensure that the DPU integrates successfully into complete systems., • Strong knowledge of, and extensive hands-on coding experience with, SystemVerilog and UVM, including the architecture, implementation and review of complex verification environments., • Hands-on verification experience in standard on-chip bus protocols such as AMBA APB and AXI, or other industry-standard protocols., • Demonstrated experience developing verification plans from scratch for complex IP or subsystems, including verification strategy, stimulus, checking, coverage, risk assessment and sign-off criteria., • Experience owning verification of a subsystem comprising multiple units, or of a particularly complex unit., • Experience developing verification testbenches., • Hands-on programming experience using Python, C or another standard programming language., • Knowledge of the tools and infrastructure that support effective verification workflows, such as regression setup and triage, version control and linting., • Experience with power-aware verification., • Experience with formal verification., • Experience working at IP or subsystem level., • Contributions to the domain through conferences or technical papers., • Experience with performance analysis., • Experience working with reference models developed in C., • Strong sense of ownership and drive work to completion., • Ability to work effectively through ambiguity as specifications evolve., • Ability to engage with relevant stakeholders to clarify requirements and work through issues., • Clear communication and a collaborative approach to working with others. Please note that no relocation package is available for this role. If skilled worker sponsorship is required, Arm will meet costs associated with sponsorship for the employer only. All fees associated with the individual’s application e.g. visa application fee and Immigration Health Surcharge, will be the responsibility of the successful candidate. At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Salary Range: £97,300 - £131,700 per year #J-18808-Ljbffr

At CesiumAstro, we are developers and pioneers of out‑of‑the‑box communication systems for satellites, UAVs, launch vehicles, and other space and airborne platforms. We take pride in our dynamic and cross‑functional work environment, which allows us to learn, develop, and engage across our organization. If you are looking for hands‑on, interactive, and autonomous work, CesiumAstro is the place for you. We are actively seeking passionate, collaborative, energetic, and forward‑thinking individuals to join our team. We are actively seeking passionate, collaborative, energetic, and forward‑thinking individual to join our team as a Principal RF Engineer I. The ideal candidate has extensive experience in board‑level and system‑level RF electronics design. If you enjoy working in a startup environment and are passionate about developing leading‑edge phased arrays for satellites, spacecraft, and aerospace systems, we would like to hear from you. In this position, you will be responsible for RF circuits, modules, and systems through all phases of the development process. The ideal candidate will be proficient in board‑level schematic design and PCB layout of RF circuits, system‑level communications concepts such as link budgets and modulation schemes, and end‑to‑end RF product development. The work will include many aspects of phased array communication systems, including RF front ends, frequency converters and synthesizers, filters, beamformers, power dividers, and phased array antennas. As a principal hardware team member, you will be responsible for RF system and hardware designs from initial concept through requirements definition, architecture definition, part selection, detailed design, analysis, manufacturing, testing, qualification, and in‑orbit support of Cesium's products. Hardware design tasks will include block diagrams, detailed schematics, PCB layout and routing, simulations, and test design. Principal Engineers also serve as technical and professional mentors in their field and may be given the opportunity to lead company programs. The successful candidate will also present engineering design review materials to our customers and executive team, as well as participate in proposal‑writing efforts. As such, excellent written and verbal communication skills are required. • Bachelor of Science (BS)) degree in Electrical Engineering (EE) from an accredited university or institution. Master of Science (MS) desired., • Minimum of 9 years of industry experience in design and analysis of RF electronics and systems., • Expert-level proficiency in professional simulation tools such as CST and ADS, as well as EDA tools such Altium., • Extensive hands‑on experience with lab instruments such as vector network analyzers, spectrum analyzers, signal generators, and oscilloscopes., • Excellent written and verbal communication skills., • Python or other programming languages., • Aerospace electronics design, development, and qualification., • Worst‑case circuit analysis, failure method and criticality analyses, and reliability analysis., • Antenna design, • EMI/EMC design and mitigation techniques. CesiumAstro considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, and key skills. Please be aware that many roles will be subject to both security and export control restrictions. These restrictions mean that factors including new starter’s nationality, any previous or dual nationalities held, place of birth and country of residence may limit those roles that you can perform for the organisation. CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any unsolicited resumes submitted to our website or to CesiumAstro team members not through our approved vendor list or Talent Acquisition will be considered property of CesiumAstro, and we will not be obligated to pay any referral fees. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. #J-18808-Ljbffr

Teamwork makes the stream work.Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. Roku is seeking a Senior QA Automation Architect to help evolve test automation capabilities from primarily AV-sync testing into broader audio quality coverage across Roku TVs, soundbars, and headphones. In this role, you will partner closely with the team lead to architect and advance the automation ecosystem, with a strong emphasis on AI-driven innovation through internal initiatives. You will design and implement test analysis systems that identify quality gaps, predict failure patterns, and optimize test effectiveness across products. This role requires a self-motivated, detail-oriented professional who thrives in fast-paced environments and is comfortable working through ambiguity while navigating evolving priorities. You will establish new methodologies for measuring and improving test quality beyond simple pass/fail metrics, focusing on regression prevention and production reliability. The ideal candidate brings deep expertise in test architecture, embedded systems automation, and AI-powered quality assurance, and is excited to drive meaningful transformation in how Roku tests and delivers audio experiences. At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you. • Design and implement test analysis systems that identify quality gaps, predict failure patterns, and optimise test effectiveness, • Design systems that collect, analyse, and act on testing data to continuously improve quality processes, • Leverage AI-powered tools to implement test automation, failure analysis, and root cause identification, • Establish new methodologies for measuring and improving test quality beyond simple pass/fail metrics, focusing on regression prevention and production reliability, • Define and implement architectural patterns that make testing more effective, maintainable, and aligned with business impact, • Drive systematic regression tracking and implement processes to prevent regression reoccurrence, • Collaborate with cross-functional teams to align quality initiatives with broader engineering goals, • Mentor engineers on best practices in test architecture, automation design, and AI-assisted quality assurance, • Expertise in test architecture and automation systems design, • Programming experience across multiple languages, with Python as a core requirement, • Expertise in test automation with embedded systems in the loop, • Proven track record driving test transformation initiatives that significantly improved test effectiveness and reduced production issues, • Ability to design, implement, and optimize solutions leveraging AI tools and predictive analytics for quality assurance, • Knowledge of continuous integration tools (Jenkins, GitLab, TeamCity, AWS) and their optimization for quality gates, • Experience with test flakiness analysis, failure pattern recognition, and automated root cause identification, • Strong verbal and written communication skills with the ability to influence senior leadership and cross-functional teams on quality initiatives, • Experience mentoring engineers and driving organisational change in testing practices, • Experience as a project QA or development lead, or in a similar capacity, • Certifications or training in AI/ML or AI-driven testing approaches Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com. Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com. #J-18808-Ljbffr

Do you want to use your engineering skills to build agentic workflows that help find treatments for rare disease patients? Healx is an AI-powered tech bio company that is redesigning drug discovery. With 10,000 rare diseases affecting 400 million people globally, 90% of which have no approved treatment, Healx is on a mission to pioneer the next generation of drug discovery to help rare disease patients in need. We combine data, artificial intelligence and deep pharmacology expertise to develop treatments more quickly and cheaply than traditional drug discovery. Diversity and inclusion sits at the heart of our mission to help people with rare diseases, and we believe that attracting and empowering a diverse team is critical to achieving this goal. We welcome applications from people from all backgrounds and walks of life. Below we have included the qualities that we feel are required for you to excel in this role; however we appreciate that people can apply transferable skills and experience. If you think you have what it takes, love our mission and resonate with our values but are worried you don't tick every box – we still want to hear from you and encourage you to apply! • Care for Rare – Rare disease patients are at the heart of what we do, • Grow as individuals – We are learners always seeking to enhance our expertise, • Win as a team – We strive to remain inclusive and diverse and we celebrate successes and lessons together, • Innovate and deliver – Our mission requires rapid innovation and calculated risks that won't compromise our high standards Healx is looking for an Agentic AI Engineer to build LLM-agentic workflows that power our drug discovery platform. Reporting to our Director of Tech Strategy, you'll design and build agents that solve real drug discovery problems. Working closely with scientists across the company, you'll understand the questions that matter most to their work, then design and refine agents that reason over our knowledge graph, proprietary methods, scientific literature and other sources to generate, triage and rationalise testable therapeutic hypotheses for rare diseases. You won't be starting from scratch. We've adopted an agentic framework (our stack currently includes Python, ADK and AgentSpace) and built workflows already delivering impact across our drug discovery platform. But this is a fast-moving field, so a big part of the role is helping us adapt as the landscape shifts. You'll work alongside the technical lead who owns our agentic infrastructure, with scope to take ownership of specific workflows and grow your influence as you do. You'll join a cross-functional team of machine learning engineers, software engineers, bioinformaticians, drug discovery scientists and clinicians, all working to sharpen how Healx makes better decisions in drug discovery. • Build and refine AI-agentic workflows on our internal framework to help drug discovery scientists generate the best testable therapeutic hypotheses to progress., • Translate discovery problems into agent designs, working out where an agentic approach genuinely adds value, and where it doesn't, • Integrate agents with our knowledge graph, proprietary methods, scientific literature and other sources so they reason over the right evidence for each problem, • Expand and maintain our existing GenAI tools so they keep pace with the team’s needs and a fast-moving ecosystem, • Contribute to how we evaluate agentic workflows, helping shape sensible evals, testing and quality standards as the practice matures, • Write clear, maintainable, well-documented code that others on the team can build on In 3 months, you have: • Got to grips with our agentic framework and the discovery problems it serves, and made your first contributions land in the codebase, • Built working relationships with the scientists and engineers you partner with, and started turning their feedback into concrete improvements In 6 months you have: • Taken at least one agentic workflow from idea to a production tool scientists use in our drug discovery pipeline - built on our framework, with sensible evaluation and documentation, • Operating with real independence - owning agentic workflows end to end, proposing improvements. We'd love to hear from you if • You've built and shipped LLM-agentic systems that deliver real value - agents that use tools, orchestrate multi-step workflows and behave reliably in production., • You have at least 2 years of software engineer or ML engineer working experience. And you have strong software engineering fundamentals - you write clear, tested, maintainable Python code that others can build on, • Fluency with the modern LLM/agent toolkit - model APIs, prompting, tool use, RAG, and the patterns this fast-moving ecosystem is converging on (MCP, agent frameworks, evals)., • You enjoy working closely with non-engineers - you are the kind of person who'll sit with a scientist to understand what they actually need. It’s a bonus if you have: • Experience in drug discovery, biology, or another life science domain, • Familiarity with knowledge graphs or reasoning over structured or heterogeneous data, • Experience building evaluation harnesses or testing strategies for LLM systems, • A track record of picking up unfamiliar domains quickly and becoming useful fast, • Interest in or experience with biotech / techbio and its impact on patient outcomes. Healx works from a modern accessible office in the centre of Cambridge within easy reach of the train station. We offer a flexible, diverse and inclusive working environment that considers your individual needs and believes in maintaining a sustainable work-life balance and we are open to discussing flexible working arrangements. We are a hybrid team operating on a highly collaborative model that values synchronization and pair programming. You will be welcomed by a team of colleagues with decades of accumulated experience in their areas of expertise, happy to help you develop your own skills in a highly collaborative environment and who are keen to provide guidance and support in your personal and career development plans. Healx will provide you with support and guidance to help you do your best work and make an impact. We offer flexible working and believe in maintaining a sustainable work-life balance. If you require any reasonable adjustments during the recruitment process, please let us know — we’re happy to accommodate. Financial - Competitive salary, share options, 7% employer pension contributions, life insurance of 4x base salary. Health and Wellbeing - Private medical insurance, 25 days annual leave (plus bank holidays) with the option to purchase additional days to support a healthy work-life balance, wellbeing support via Spill and our Employee Assistance Programme. Hybrid Working - We will only consider UK-based applicants for this position. We offer flexible and remote working options, home office set-up allowance, periodic in-person team days for company-wide collaboration and celebration. Family Friendly - Enhanced family leave policies, miscarriage and fertility leave, flexible working practices. Personal Development and Growth - Personal learning and development budgets, regular personal development conversations and career support. Community Engagement and Support - One paid day off per year to volunteer for a cause aligned with our mission of supporting patients living with rare diseases; the opportunity to hear from and engage with patient groups and communities who offer us valuable insights into the experiences of those affected by rare diseases. For more information about Healx and how we use your data please go to https://healx.ai/privacy/ #J-18808-Ljbffr

Foundation Partners are embedded, and work as part of their internal team, at Flok Health. You can view this job directly on Flok Health's career page here This role is required to be in-person in Cambridge, United Kingdom (4 days a week). We're looking for driven and pragmatic product-minded software engineers, who care about user experience and have experience of scaling consumer applications - in particular of ensuring a consistently great experience for users regardless of what device they're on. • Building new product features (full-stack, with frontend focus), • Designing non-functional app features (e.g. offline support, improving observability), • Contributing to technical roadmap planning, • Working with product/UX to iterate on the app design and requirements, • Participating in bug triage/diagnosis and incident investigations, • Improving test coverage of the app (especially across a variety of user devices), • Making data driven decisions about app changes You’ll collaborate closely with the rest of the engineering / UX team, work directly with company leadership, and see the impact of your work on real patients. • You have strong programming skills (ideally in TypeScript / Python) and experience of full stack web development, • You enjoy working with design and product teams to help shape exceptional products, • You care deeply about your users - championing great experience and access to quality clinical care, • You take initiative and ownership of your work, and communicate clearly We're hiring for this role at a range of seniority levels. Additionally, for more experienced hires: • You've built and scaled consumer facing production web applications, • You've maintained applications long term, and seen how early decisions play out as systems grow, • You've developed and tested frontends for widespread use across a range of devices / browsers, • You have experience of mentoring team members, and maturing engineering processes Whilst not required, experience in any of these areas will definitely stand out - let us know if you have any! • iOS/Android app development (native or otherwise), • Software medical devices (or another regulated industry), • Startup experience, • Able to design UIs (e.g. in Figma), • Video streaming and/or real-time technologies, • Challenging work at the frontier of AI-native healthcare, • In-person collaborative culture in a beautiful work space in the Cambridgeshire countryside, • An onsite gym and digital health subscription of your choice, • Early stage equity with employee-friendly terms (via an EMI scheme), • Comprehensive medical coverage (including dental and optical) and life insurance, • Optional remote working on Wednesdays, with an annual allowance of 10 extra remote days, • Desk setup allowance for your favourite keyboard / mouse / whatever!, • Monthly team feasts (and the BBQ is used most days), • A fast paced work environment geared towards excellence and professional growth (with annual training budget), • A chance to have a big impact in a small team transforming care and outcomes at population scale More than a billion people a year suffer unnecessarily from conditions like MSK pain, where the right treatment approach is well-established but undeliverable at scale. We're changing that. Our team has deep expertise across clinical, engineering, and regulated AI, has a track record of healthtech innovation, and is backed by top VCs and multiple unicorn founder angels. • Solving hard problems at the intersection of technology and healthcare, • The pursuit of excellence—helping each other to do the best work of our careers, • Working in an in-person collaborative environment, • Taking ownership to have significant impact in a fast-growing mission-driven company with big ambitions The old model for People & Talent doesn’t work for today's businesses. We've built a better one. Traditionally, early-stage Founders had two options: handle People & Talent themselves, losing precious time they should be spending on product or go‑to‑market, or hire a generalist, expected to cover everything from culture to recruitment to performance. We offer a more impactful alternative: A fully flexible, fractional People & Talent team with specialist skillsets and hands‑on delivery, ready to start driving impact for your business in weeks, not months. #J-18808-Ljbffr

iPhone is equipped with the world’s most popular camera system, delivering magical experiences that continue to surprise and delight our customers. The Camera & Photos group focuses on perfecting our imaging pipelines using advanced computer vision, computational photography, and machine learning techniques. As a member of this group, you would have the unique opportunity to work on products that are used and enjoyed by millions of people. As part of the Camera and Photos organization, our team in Cambridge works on camera pipelines specifically for the company’s mobile devices, including the iPhone and iPad. Combining innovative algorithms with optimized implementations, we deliver the quality and features that help redefine computational photography. If you are passionate about inventing and developing new imaging algorithms to improve the photography experience, we would like to hear from you. You will leverage your research background and knowledge of image processing and machine learning to design, develop, and improve the company imaging and photo editing technologies. You will develop ideas and concepts into commercially viable algorithms. You should stay up-to-date with the cutting-edge developments in machine learning, computer vision, and computational photography, both in academia and in industry. You are expected to leverage your knowledge to work and influence the company's products, specifically as they relate to our camera systems. PhD in Computer Science or a related field (mathematics or physics), with a focus on or related work in machine learning, computer vision, or imaging Good understanding of in-camera processing Strong mathematical and statistical analysis background Familiarity with object-oriented programming languages such as C++ or Objective C Ability to work with cross-functional teams Strong analytical and problem-solving skills Excellent written and verbal communication skills Experience researching, developing, and implementing image processing and machine learning algorithms Experience training and working with generative models Strong coding skills - preferably in Python including ML-frameworks and libraries such as Pytorch Experience in productizing or publishing your research results in fields such as machine learning, image processing, and computer graphics #J-18808-Ljbffr

AVEVA seeks a Senior Optimisation Developer to advance industrial optimisation software and numerical modelling components. The role involves independent problem solving, contributing to design/implementation, and mentorship within the USC Optimisation team. Strong maths background and experience in linear algebra or Lagrangian analysis are highly desirable. Proficiency in programming (C++ preferred) and collaboration across teams are essential to drive improvements in refinery planning and #J-18808-Ljbffr

Arm is redefining what is possible in cloud and data center computing. Our Neoverse platforms are helping power the next generation of infrastructure – combining advanced silicon with the system software required to turn ambitious technology into production-ready solutions. We have a requirement for a Staff Software Engineer in the Infrastructure Solutions Software team in our CE-SW group. This role combines hands‑on technical leadership with responsibility for leading and developing a team of engineers delivering complex software for our cloud and data center products. You will provide technical direction to the team, develop engineering capability and drive effective delivery across SoC, firmware and system software. This is an opportunity to make an impact at scale! • Lead and develop a team of engineers, providing technical direction, coaching and line management while remaining hands‑on., • Drive the team’s technical execution across SoC, firmware and system software from pre-silicon through silicon bring‑up and production readiness., • Drive engineering planning and execution, translating requirements into technical tasks, estimates and deliverables for the team., • Collaborate across hardware, software, architecture and other engineering teams to manage dependencies, resolve technical issues and deliver high‑quality software., • Strong experience delivering complex system software within the embedded or infrastructure SoC space., • Experience leading and developing engineers, with strong technical leadership and interpersonal skills., • Strong knowledge of low‑level systems, including bootloaders, device drivers, OS fundamentals (preferably Linux), and computer architecture., • Strong background in C (or a similar language) programming, with proven skills in debugging and optimising software., • Excellent problem‑solving and communication skills, with the ability to collaborate effectively across engineering teams., • Knowledge of Linux kernel, Trusted Firmware‑A (TF‑A), UEFI EDK II, OpenBMC or Kernel‑based Virtual Machine (KVM)., • Knowledge of server‑class SoCs, including RAS, power management, PCI Express (PCIe), Compute Express Link (CXL), memory and virtualization. Join us and help shape world‑class infrastructure technology at Arm! This is your chance to grow, develop new skills, and build a successful career at a leading technology company. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Salary Range: £97,300 - £131,700 per year #J-18808-Ljbffr

Arm’s technology is used by billions of people every day. Arm is the industry's leading supplier of microprocessor technology providing efficient, low-power chip intelligence making electronic innovations come to life. Our engineers design and develop CPUs, graphics processors, system technologies, and software development tools. Arm’s technology is used by billions of people every day. Arm is the industry's leading supplier of microprocessor technology providing efficient, low-power chip intelligence making electronic innovations come to life. Our engineers design and develop CPUs, graphics processors, system technologies, and software development tools. As a member of a versatile team, you will work closely with all technology groups at Arm, with our partners, and with industry consortia to innovate, develop and deploy new technologies to the broad Arm ecosystem. In this role, a successful candidate must be passionate about both hardware and software, and nurture a strong desire to extend both the depth and breadth of its expertise. This outstanding position will allow you to work alongside technology leaders across Arm. • A postgraduate degree, ideally in Computer Science or Electronic Engineering, with relevant experience., • A good understanding of computer architecture concepts and trends (CPU, GPU and/or other hardware acceleration)., • Strong programming and analytical skills., • Able to demonstrate passion, drive, and diligence., • Able to communicate clearly with both expert and non-expert audiences., • Arm architecture fundamentals., • Vector processing and parallel programming., • Multimodal machine learning & Transformers, agentic AI., • AI & Simulation Frameworks., • Architecture performance analysis and optimisation This position offers the flexibility to be based in either Cambridge, UK, at the heart of Silicon Fen, or Sophia Antipolis, France, within Europe’s leading technology park. In addition to a competitive salary and comprehensive rewards package , you'll also receive the support, autonomy and opportunity to excel in your career. United Kingdom: GBP 97,300 - GBP 131,700 France: EUR 78,500 - EUR 106,300 We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process. At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #J-18808-Ljbffr

This pay range represents the minimum and maximum compensation that the position offers, and final compensation can vary within the range depending on work location, job experience, skills, and relevant educational attainment and/or training. Job Title: SCADA Technical Lead Job Location: Houston, TX/ Calgary, Canada Job Type: Full Time- Hybrid (50% of time in office) Due to the hybrid nature of the job, a successful candidate must already reside within a commutable distance (<50 miles) of the listed office location. Compensation Range for this role in Houston, Texas is: $103,000- $171,800 USD This range should not be used for any other locations outside of Houston, TX. This position is accountable for technical leadership for large scale/high complexity customer project orders, which may span over multiple years, from start to finish, ensuring it is completed on time and within budget. This includes serving as the lead software project engineer during initiating, planning, executing, controlling and closing of customer projects/programs. The successful candidate in this position will confirm customer requirements, which includes software system development requirements, software and hardware specifications, bill of material alignment with specifications & clarify exceptions. • Project Initiation - Assist in the project management as lead software project engineer in developing and/or finalizing technical elements of the project’s statement of work with the customer. Maintain role as lead project engineer and technical contact for customer for balance of project order., • Project Planning - Assist in the project management as lead software project engineer in developing a project schedule, risk management plan, and communication plan to ensure expectations are being met internally and externally., • Project Execution - Assist system architect in system design effort of the customer’s project order and serves as lead software project engineer to project technical team., • Monitor and Control Project Work - Monitor and control the performance of the customer’s project through its lifecycle. Key activities include: task completion verification, project team monitoring, managing project updates across team members, schedule reporting, issue resolution, contract administration, and risk management., • Project Close - Lead the closeout of the project to include financial reconciliation, verification of job site equipment arrival, installation, start-up, and training support completion through review of internal system information, contact with the customer, and coordination with support services such as field services, after-shipment support, and training functions. Validate project performance against target profitability., • Provides technical guidance to technical team members. Required Experience: • Bachelors Degree in Engineering or Computer Science and 5+ years of industry experience., • Software Engineer responsible for development of industrial automation, information and facilities monitoring solutions involving the following software: Required (Significant Experience with One of the following): Enterprise SCADA, OASyS DNA, Vijeo/Citect SCADA, Ampla MES, ClearSCADA, WonderWare SCADA, WonderWare Historian, Other significant experience with another SCADA and/or MES software package Desired Experience: • Microsoft SQL Server, • SQL, • C#, • Microsoft reporting services Other programming languages and web interface software development experience is desired but not required. Successful candidate should be able develop, install and commission custom systems (hardware and software). Successful candidates will be expected to handle high pressure situations on customer sites. Candidate should be able to think on their feet and offer creative solutions to unexpected site challenges. Candidate should be able to handle interactions with both Government and Private Sector customers. Position involves domestic and international travel. Travel requirement is 20 - 50% USA Benefits include: • Flex work hours, 20 days PTO rising to 25 with service, three paid volunteering days, primary and secondary parental leave, well-being support, medical, dental, vision, and 401K. Find out more: aveva.com/en/about/careers/benefits/ We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process. We are committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process. Find out more: aveva.com/en/about/careers/hiring-process AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/ Find out more: aveva.com/en/about/careers/ AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. #J-18808-Ljbffr

Secondmind is an Equal Opportunity Employer committed to fair, equitable treatment throughout the recruitment process and beyond. We actively champion applications from all backgrounds because we believe the best work happens when people can bring their authentic, original, and best selves to the team. If you require accommodation or assistance throughout the interview process due to a disability, please contact hr@secondmind.aiwe are happy to help. Secondmind builds data-efficient engineering AI software that helps teams make better design and performance optimisation decisions faster. Our product reduces simulation and testing requirements without compromising quality, accelerating development and enabling more sustainable. Our positive working culture is founded on a collaborative environment that encourages teamwork and innovation. We foster open communication and cross-functional collaboration, enabling diverse teams to work together to solve complex challenges. Our flexible workplace plan ensures a healthy work-life balance, accommodating various working styles and personal needs, whether through remote work options or adaptable schedules. We also prioritize personal and professional growth by offering development opportunities, including training and mentorship. This nurturing environment empowers our employees to thrive, continuously learn, and contribute meaningfully to our mission of advancing system design and calibration with our data-efficient machine learning solutions. Founded in 2016 and supported by investors such as Mazda Motor Corporation, Amadeus Capital, Atlantic Bridge and Cambridge Innovation Capital, Secondmind was recently recognized with the Automotive Testing Technology International 'Alternative Powertrain Test Innovation of the Year Award 2024'; selected for the Tech Nation Future Fifty scale-up program, and named by Bloomberg as one of the UK's 25 Startups to Watch 2024. This is an exciting opportunity to join a team at the forefront of artificial intelligence and machine learning. Secondmind Labs consists of researchers that explore innovative ideas that can improve the state of the art in Probabilistic modelling, active learning and related fields, and tackle real-world challenging problems. We work in highly collaborative research teams, developing algorithms that are theoretically rigorous, yet scalable to domains of real-world complexity, with the aim of solving our customers' challenges, as well as publishing papers at leading machine learning conferences. In the past four years our team has published over 75 papers and filed 10 patents (check our papers on our website). • Develop your own research program, with a view to developing new tools and techniques for probabilistic models, Bayesian optimization and related fields., • Engage in team collaborations to meet research goals and report your research findings both internally and externally., • Contribute to internal product development and customer research projects, assisting in the application of cutting-edge machine learning research to real world problems., • The opportunity to take an active role in the development of our open source libraries (for example, Trieste, GPflow and GPflux). From fresh PhD graduates to experienced team leads, we are open to applicants at all levels. What we primarily look for is a good fit with the team, a researcher that we can easily see collaborating with and that will enrich our collective knowledge. Essential skills and experience: • A PhD in a technical field or an equivalent level of experience, having published work in machine learning, statistics, or optimization conferences and/or journals. In addition, the following would be an advantage: • A background in decision making (Bayesian optimization, bandits, reinforcement learning, active learning) and / or probabilistic modelling and methods (Gaussian processes, Bayesian neural networks, Variational inference, etc)., • Experience in numerical programming (Python/NumPy/Tensorflow/PyTorch)., • Experience or interest in applying machine learning to solve real world problems in projects which could relate to Secondmind's customers., • Keen to work as part of a team, to review documents and code, and to provide constructive feedback., • A passion to continuously develop your own machine learning and research skills, and to help others to improve theirs. We offer a working environment that is inclusive, stimulates innovation and continuous learning, and that thrives on growth and change. Our culture is underpinned by our values; they are what we stand for, part of our DNA. They help us to attract and retain the right talent and customers, help us make the right decisions and clarify how we should all behave and treat one another, they are: • Delight every customer (Customers), • No bar too high (Excellence), • Give more than take (Sustainability), • Make the impossible, possible (Innovation), • Celebrate differences, act as one (Inclusion) We also offer a number of benefits including: • Competitive salary - reviewed annually, • 25 days annual leave, plus statutory bank holidays, • TGIF: Last friday of every month is a half day, • Enhanced family leave policies, • Salary Sacrifice Pension Scheme, • Life Assurance of 4x salary, • Private Medical Insurance, • Stock Options (where applicable), • Free 24 hour access on-site gym, • Employee Assistance Programme, • Values Award Scheme, • Social events, game nights and sports groups #J-18808-Ljbffr

Contract Type:Full-time, Permanent Location:Cambridge, UK Join Nu Quantum - Shaping the Future of Technology Nu Quantum is at the forefront of quantum computing and advanced technology, driven by innovation, diversity, and a commitment to excellence. We’re creating an environment where brilliant minds from all backgrounds collaborate to push the boundaries of what’s possible. Founded to commercialise research generated over the last decade at the Cavendish Laboratory, Nu Quantum is on a mission to shape the future of quantum information systems. We’re working on exciting technology that will improve the utility and accelerate the time-to-market of quantum computing systems. We integrate novel quantum photonic technology to form an efficient and scalable quantum networking infrastructure in partnership with world-leading companies and academic groups. As a Software Engineer at Nu Quantum, you will be responsible for helping to create the tools that our Scientists require to develop, test, build and enhance our quantum networking solutions. You will be part of the Software team, who develop software for internal lab use, as well as the control and user interfaces for our prototype products. This includes firmware to run on embedded systems, the development of graphical user interfaces and automation of scientific experiments, You will work closely in an agile software team dedicated to high quality delivery. We work closely with our Scientists and Engineers to define requirements, maintain and test software solutions. • Develop software to interface with proprietary optics, electronics and mechanical hardware, and third-party scientific equipment., • Work alongside FPGA and electronics system integration specialists to enable state-of-the-art quantum network control systems., • Develop user interfaces for streamlining product demonstrators and measurement control., • Make proactive, creative recommendations in all aspects of work, including improving our workflows and system design., • Create high-quality, testable and maintainable code. Essential • Experience developing with a compiled language e.g. Rust, C++, • Knowledge of embedded systems such as microcontrollers. SOCs or FPGA soft cores, • Proficiency with a scripting language, such as Python, • Experienced with standard development practices, such as source control, continuous integration, unit testing, integration and hardware in the loop testing, • Strong communication skills and an ability to work well in a team and cross functionally, with a diverse range of people and disciplines Desirable (nice to have, but not required) • Strong Rust skills, • Experience with creating UIs, particularly using Dart and Flutter, • Hands-on experience of working with FPGAs and / or microcontrollers, • Experience creating Linux based systems using Yocto, • Familiarity with application programming interface principles, such as protocols for implementing remote procedure calls, especially gRPC, • Experience working with Agile or Agile-inspired methodologies Why work with us? At Nu Quantum, we celebrate diversity and are committed to creating an inclusive workplace where people of all identities, orientations, backgrounds, and experiences are empowered. We value diverse perspectives as a source of creativity and innovation and encourage applications from all backgrounds, including those from underrepresented and marginalised communities. Joining Nu Quantum means joining a team where you can grow professionally and be part of an inspiring mission to shape the future of technology. Benefits • Flexible working options, • Group DIS cover (4 x salary), • 1 month paid Sabbatical after 4 years of service, • Generous Employee Referral Scheme, • Private Medical and Dental Cover (With Vitality and Bupa), • On-site gym membership, • Cycle scheme, • Refreshments, including fruit and beverages, are available in the office, • 28 days annual leave, including a 3-day company shutdown period + Public Holidays in England and Wales, • Option to purchase up to 5 days holiday per year, • Enhanced paid family leave policies, • Access to the Cambridge Botanical Gardens #J-18808-Ljbffr

We’re looking for strong C++ software development experience, ideally gained while building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar technology is also important. A good understanding of how AI models execute in practice is essential, including graph processing, operator execution, memory management, and backend integration. This role involves analysing, investigating, diagnosing, and resolving complex functional or performance issues across frameworks, runtimes, compilers, drivers, and hardware abstraction layers. The work brings together engineers across runtime, compiler, driver, and hardware teams to design, develop, integrate, test, and optimise solutions within a large, modular codebase. Strong analytical and problem-solving skills, combined with an interest in machine learning systems, AI acceleration, and performance optimisation, will support success in the role. Experience across every area below is not expected. Relevant knowledge or experience could include: • Developing delegates, execution providers, plugins, or other backend integration mechanisms, • GPU programming or machine learning acceleration technologies such as Vulkan, OpenCL, TOSA, or compute kernels, • Designing or implementing Ahead-of-Time or Just-in-Time compilation flows for AI workloads, • Transforming graphs or working with operator partitioning, scheduling, memory planning, or model optimisation, • Validating, benchmarking, profiling, or analysing AI model performance, • Developing compiler technologies, intermediate representations, or hardware abstraction layers, • Building automated tests and CI/CD workflows for large-scale software projects, • Applying AI-assisted development tools responsibly to improve engineering productivity and software quality Interested in exploring how machine learning models move from high-level frameworks through the software stack to hardware acceleration? This role provides opportunities to deepen expertise in machine learning runtime development and hardware-accelerated AI execution. The work spans the end-to-end AI software stack, from framework-level model execution and backend delegation through compiler flows to NGP acceleration. Working collaboratively across Arm provides exposure to inference engines and runtimes, accelerator integration, operator partitioning and fallback mechanisms, AOT and JIT compilation, model validation and benchmarking, performance optimisation, and automated validation workflows. There are also opportunities to build a broader understanding of how machine learning frameworks, software, compilers, and hardware come together to deliver efficient AI experiences on Arm technology. At Arm, we want our people to learn, contribute, and grow while working on technologies shaping the future of AI and computing. The role offers opportunities for professional development, collaboration with colleagues across our global engineering community, and exposure to challenging technical problems with real-world impact. Arm provides a comprehensive range of employee benefits and support designed to help our people thrive at work and beyond. Benefits vary by location and can include support for health and wellbeing, financial wellbeing, time away from work, and professional development. We want our recruitment process to be accessible and inclusive. Reasonable accommodations are available throughout the recruitment process, and we encourage candidates who require support to let us know so that appropriate adjustments can be considered. If Skilled Worker sponsorship is required, Arm will meet costs associated with sponsorship for the employer only. Fees associated with the individual’s application, such as the visa application fee and Immigration Health Surcharge, will be the responsibility of the successful candidate. #LI-CM1 At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email _. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #J-18808-Ljbffr

Position: Senior Technical Program Manager Locations: Cambridge, UK / Philadelphia, PA Employment Type: Full-time AVEVA’s Chief Technologist Organization is hiring an experienced technical program manager to help us track and coordinate our work investigating and incubating emerging technologies. Reporting to the VP, Strategic Programs & Operations, you’ll work closely with technical leaders across the organization to develop and define program plans for our technical initiatives, making sure they align to our broader strategy and priorities, have well‑defined objectives that further our technical understanding in key areas, and include concrete milestones and deliverables. You’ll develop and implement tracking and reporting processes so leadership always has a clear, up‑to‑date view of progress. This role offers an exciting opportunity to shape how our growing organization structures its programming in a way that allows us to deliver innovative and advanced industrial technology. The ideal candidate has a deep technical grounding that allows them to quickly develop understanding of emerging technical areas (e.g. AI, IoT, XR/VR, etc), strong multi‑level communication and organization skills, and the ability to synthesize technical details into coherent programs. • Develop a flexible but repeatable approach to defining technical program plans that can be applied across the CT organization, • Help technical leaders connect their plans to the org’s broader priorities and strategy, flagging gaps or misalignment, • Work with senior technical leaders within the CT Organization to translate requirements from other parts of AVEVA and customers into tangible programs that align to the CT Org’s broader strategy, • Track progress across initiatives and keep documentation and dashboards current so status is always visible, • Spot risks, bottlenecks, or scaling issues early by staying close to the technical details, and raise them before they become problems, • Set up and run a regular cadence for reviews, decisions, and prioritization across initiatives, • Make sure initiatives follow privacy, security, and responsible‑technology guidelines, • Build strong relationships across teams so you can get accurate information, keep people aligned, and manage dependencies between initiatives, • Provide operational support for AVEVA’s AI Capabilities Operating Committee (AICO), which drives alignment across AI solution and capability within AVEVA products and services, • 12+ years of experience in technical program management, including 5+ years working closely with complex emerging‑technology initiatives, • Strong enough technical background to understand and translate what technical leaders are building, even without leading that work directly, • Skilled at turning informal or in‑progress technical work into clear, structured program plans, • Experience helping teams align their work to broader organizational strategy and priorities, • Experience working in regulated industries like industrial, IoT, life sciences, manufacturing, energy, or similar, • Strong communication skills — able to build trust with technical leaders, translate technical work for non‑technical audiences, and clearly report status and risks, • Master’s degree in Computer Science, Physics, Engineering, or a related field; PhD preferred, • Project Management Professional (PMP) certification preferred., • Familiarity with responsible deployment, risk management, and technology governance practices, • Curious, detail‑oriented mindset — comfortable digging into technical work you’re not personally building, • Comfortable working iteratively and adjusting plans as technical work evolves, • Technical leaders’ work is clearly reflected in structured, trackable program plans, • Initiatives stay visibly aligned with the org’s broader strategy and priorities, • Leadership always has an accurate, up‑to‑date view of progress across initiatives, • Risks and misalignments are caught early, not after the fact, • Simple, reusable templates and processes make planning and tracking easier over time, • Strong trust and collaboration with technical leaders, even without formal authority over their work, • Flexible benefits fund, • Emergency leave days, • Adoption leave, • 28 days annual leave (plus bank holidays), • Pension, • Life cover, • Private medical insurance, • Parental leave, • Education assistance program It’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out more: aveva.com/en/about/careers/benefits/ We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on‑site 50% of your working hours to support collaboration and connection. Some positions are fully office‑based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process. Find out more: aveva.com/en/about/careers/hiring-process AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting‑edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/ Find out more: aveva.com/en/about/careers/ AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third‑party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case‑by‑case basis. #J-18808-Ljbffr

• Join AVEVA’s Core Services team to design and implement secure, resilient cloud platform capabilities using Microsoft Azure, • This Senior-level role is suited to an experienced developer with a strong record of delivering complex technical solutions and an interest in cloud development, • You will work as part of an agile team, contribute to design decisions, build high-quality services, and use modern engineering practices, including AI-assisted development tools, to improve productivity and software quality, • Design, develop, and maintain secure, resilient features for AVEVA CONNECT Core Services, • Contribute to technical design and implementation decisions across cloud and service-based architectures, • Build and improve services using modern engineering practices, including CI/CD and infrastructure as code, • Use AI-assisted development tools to support engineering productivity, code quality, and delivery, • Work collaboratively in an agile development team and share knowledge on cloud technologies and practices, • Time off: 28 days of annual leave, plus bank holidays. You can also buy/sell five days a year, • Emergency leave: Five days a year to use when unexpected or urgent events make it impossible to work, • Hybrid working: The default option for employees is a 3:2 split between the office and working from home. Some positions are fully remote and others are fully office-based—refer to the job listing for specific details, • Parental leave: Maternity leave comprises 18 weeks at full pay, followed by 21 weeks statutory pay and 13 weeks unpaid. Paternity leave is two weeks at full pay. Pension contributions and benefits are maintained throughout, • Workplace nursery scheme: Pay for your child’s nursery directly through payroll, saving tax and NI contributions, • Electric care lease: Use your flexible benefits fund to subsidize the pre-tax leasing of a brand-new electric or ultra-low-emission car, • Shopping vouchers: Use your flexible benefits fund on discounts and vouchers for many major retail, tech and restaurant chains, • BUPA private healthcare: BUPA healthcare is a core benefit for employees. Use your flexible benefits fund and/or salary sacrifice to add family members, • Anonymous counselling: Through our Modern Health benefit, employees and their dependents over 13 are eligible to use our mental health app and receive unlimited counselling and coaching each year, • Dental insurance: Use your flexible benefits fund to cover preventative and restorative treatment. You can also add coverage for family members, • Cycle to work: Buy a brand-new bike and save 25–40% on retail price thanks to tax savings, • Gym membership: Use your flexible benefits fund to discount a membership to a major gym chain, • Bonus: Based on a combination of your own performance and AVEVA’s financial results, • Pension: Use your flexible benefits fund to increase the standard employer contribution. You can also route your bonus directly into your pension, saving tax and NI, • Income protection: Secure a reliable income if you’re unable to work due to long-term sickness or injury, • Life assurance: In the event of your death, your loved ones will receive a lump sum, • Charitable giving: The Action for Good program gives you three days of paid volunteering every year, as well as match funding opportunities. You can also use your flexible benefits fund to give to charity pre-tax, • Professional development: Access to LinkedIn Learning gives you the chance to grow your knowledge and skills, while AVEVA’s extensive mentorship network allows you learn from colleagues across the company, • Education support: After one year with AVEVA, you can apply for support towards a relevant course or qualification. AVEVA will reimburse up to 70% of the cost, • Service recognition: Whether you’ve been with us for 12 months or 50 years (it’s happened!), the AVEVAversary program rewards you during milestone years with cash and time off. We also recognize your contributions by planting a tree in the AVEVA Forest, our global forest of recognition, • Experience developing microservice or service-oriented architectures, • Good understanding of REST API design principles, • Experience with C#/.NET or multiple programming languages, plus an understanding of database design, CI/CD, and infrastructure as code, • Experience with cloud development, especially Microsoft Azure, • Strong design and coding skills, with a record of delivering high-quality technical outcomes, • Experience with Kubernetes, containers, or cloud-native application platforms, • Experience with Angular or an equivalent web development framework, • Experience using AI-assisted coding tools to improve engineering productivity and software quality, • Strong communication, adaptability, curiosity, ownership, and motivation to solve technical challenges in a fast-moving environment #J-18808-Ljbffr