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HGV 2 Driver £960 + per week | Permanent opportunities available | Newly qualified drivers welcome Looking for a driving role that offers excellent pay, a consistent 4-day working week and genuine long-term career prospects? We're looking for HGV Class 2 Drivers to join a well-established logistics operation based in Banbury on a genuine temp to perm contract. Whether you're an experienced driver or have recently passed your Class 2 test, we'd love to hear from you. Pay & Hours Temporary £20.00-£25.00 per hour (PAYE) x 48 hrs min = £960 + per week min Permanent £47,300 annual salary Overtime available Working Pattern 4 x 12-hour shifts (48 hours per week) Monday to Saturday rota (Saturday working required) Start times between 3:00am and 6:00am What You'll Be Doing Delivering products on planned routes Safely unloading using an electric pump truck (full training provided) Completing delivery paperwork and vehicle checks Providing a professional and friendly service to customers Following all road safety and company compliance procedures What You'll Need HGV Class 2 (Category C) licence Driver CPC & Tacho Ability to pass a driving assessment A reliable, professional approach with good customer service skills What's In It For You? Weekly pay Permanent opportunities available Company pension. Healthcare Cash Plan Personal Accident Cover Discounts in resturants and on your grocery shopping Full training and ongoing support Excellent earning potential with overtime If you're looking for a stable driving role with competitive pay, excellent benefits and a supportive team, we'd love to hear from you. Apply today or contact Gary on 07714 257377 for more information. HGV Driver, Class 2 Driver, HGV Class 2, Category C Driver, LGV Driver, Multi Drop Driver, Delivery Driver, Logistics Driver, HGV 2 Driver, Truck Driver, Driving Jobs Banbury. TPBN1_UKTJ

Arm's GPU team in Cambridge is seeking a verification engineer who loves graphics and solving complex hardware/software challenges. You will test new HW features and graphics APIs, implement and close Functional Coverage, and debug failures across design, verification and software driver teams. The role blends hardware verification methodology with SystemVerilog/UVM and offers exposure to Python and Scala in a collaborative hybrid environment. #J-18808-Ljbffr

AMD seeks experienced software engineers to design and implement embedded firmware for networking products in its Cambridge, UK office. You will collaborate with silicon teams to refine RTL models, work with host driver teams to develop high-performance network stacks, and partner with system test to drive products to release. The ideal candidate has extensive C experience, proficiency in Python, and deep knowledge of embedded software and debugging at the hardware/software interface. #J-18808-Ljbffr

Firmware Engineer – Cambridge Would you like to work on developing an extremely precise deep-tech platform with real-world impact? Our client offers the chance to work with a multidisciplinary team on cutting-edge technologies, alongside a motivated group of engineers. • Develop driver firmware for proprietary silicon, • Work throughout the whole SDLC, including bring-up, regression testing and performance testing, • Validate new silicon chips Experience required: • Strong background in real-time embedded firmware, • 5+ years of experience with C/C++ development, • 2+ years of experience with Python, • Experience developing cross-platform code Desirable skills: • Experience with unit test frameworks like pytest, build scripting, Jenkins CI/CD automation, • Good understanding of ARM Cortex-M series processors and CPU architecture, • Some PCB electronics design experiences, • Familiarity with Linux, Git, Bash, and Tcl, • Private health insurance, • Life insurance, • 33 days holiday, • Expert training from renowned industry veterans Apply now to join a company truly leading their niche in one of the most vibrant cities on Earth for R&D #J-18808-Ljbffr

Arm's Central Technology Machine Learning Group is looking for highly motivated and creative software engineers to join the ML compiler development team! Arm's Central Technology Machine Learning Group is looking for highly motivated and creative software engineers to join the ML compiler development team! You would join our diverse and dedicated team shaping the future of AI on Arm's platforms. We work on all aspects of ML graph compilation - model ingestion, low-level hardware programming, efficient memory allocation and performance optimisation. You will contribute to the design and implementation of an AI/ML compiler and ensure that it integrates well with rest of our ML software stack. We are looking for an engineer who has a desire to build knowledge, learn new skills, can adapt to a constantly evolving environment and who enjoys complex problem solving. Given the impact and reach of this technology, you’ll have an opportunity to collaborate with specialists across the company. • Experience with the whole software lifecycle - taking complex software from initial design through to production and support, • Strong programming expertise in C++ and Python, • Compiler knowledge, ideally experience with ML compilation technologies such as MLIR or TVM, • Understanding of how to rigorously test software and design software for test, • Ability to effectively use AI tools when working on a shared codebase, • Capable of working independently or in small groups, with a high degree of initiative, • Fluency in English, both written and spoken, • Good communication skills and collaborative mindset, • Experience using software simulators and/or FPGAs, • Exposure to any of the following: driver development, inference engines like llama.cpp or vLLM, performance analysis of ML and GenAI workloads, knowledge of Neural Network Processing Units (NPU) or Graphics Processing Units (GPU) and how they are used for ML. You will receive a competitive reward package which includes generous stock awards and a range of benefits to support your wellbeing. We strive to provide an open and accepting environment where you are encouraged to share your ideas and opinions, which enables collective innovation and creativity, and supports your professional and personal growth. Please note this role does not meet the eligibility requirements for sponsorship, and therefore the successful candidate must have the right to work in the UK without relying on sponsorship by Arm. At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: 10x-mindset At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact so we can support you. 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. £73,500 - £99,500 per year #J-18808-Ljbffr

Arm's Central Technology Machine Learning Group is looking for highly motivated and creative software engineers to join the ML compiler development team! You would join our diverse and dedicated team shaping the future of AI on Arm's platforms. We work on all aspects of ML graph compilation - model ingestion, low-level hardware programming, efficient memory allocation and performance optimisation. You will contribute to the design and implementation of an AI/ML compiler and ensure that it integrates well with rest of our ML software stack. We are looking for an engineer who has a desire to build knowledge, learn new skills, can adapt to a constantly evolving environment and who enjoys complex problem solving. Given the impact and reach of this technology, you’ll have an opportunity to collaborate with specialists across the company. • Experience with the whole software lifecycle - taking complex software from initial design through to production and support, • Strong programming expertise in C++ and Python, • Compiler knowledge, ideally experience with ML compilation technologies such as MLIR or TVM, • Understanding of how to rigorously test software and design software for test, • Ability to effectively use AI tools when working on a shared codebase, • Capable of working independently or in small groups, with a high degree of initiative, • Fluency in English, both written and spoken, • Good communication skills and collaborative mindset, • Experience using software simulators and/or FPGAs, • Exposure to any of the following: driver development, inference engines like llama.cpp or vLLM, performance analysis of ML and GenAI workloads, knowledge of Neural Network Processing Units (NPU) or Graphics Processing Units (GPU) and how they are used for ML. You will receive a competitive reward package which includes generous stock awards and a range of benefits to support your wellbeing. We strive to provide an open and accepting environment where you are encouraged to share your ideas and opinions, which enables collective innovation and creativity, and supports your professional and personal growth. Please note this role does not meet the eligibility requirements for sponsorship, and therefore the successful candidate must have the right to work in the UK without relying on sponsorship by Arm. 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

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

Electronic FPGA Engineer Location : Cambridge, CB4 0WN Salary : Competitive, DOE + Excellent Benefits Contract : Permanent, Full-Time Hours : Monday to Friday, 37.5 hours per week (8:00am to 6:00pm), with occasional overtime and weekend working. This is an on-site role. Benefits : Annual bonus scheme, Private healthcare, Co-financed gym membership, Life insurance, Additional annual leave through our Company Day, Ongoing learning and development opportunities At HUBER+SUHNER Polatis, we're helping to keep the world connected. Our innovative optical networking solutions enable the seamless movement of data across global communications infrastructure, supporting some of the world's most demanding data and communications networks. We're looking for an experienced Electronic FPGA Engineer to join our growing engineering team in Cambridge. This is an exciting opportunity to work on advanced FPGA-based solutions, taking designs from concept through to validated hardware and contributing to products that sit at the heart of next-generation connectivity. If you're passionate about digital design, enjoy solving complex hardware challenges, and thrive in a collaborative engineering environment, we'd love to hear from you. What you'll be doing As an Electronic FPGA Engineer, you'll play a key role in the design, development, verification and validation of FPGA solutions for our optical networking products. Designing and implementing FPGA logic in VHDL for Xilinx Artix-7 devices using Vivado Developing reliable finite state machines (FSMs) to control hardware interfaces and communication protocols Creating and maintaining low-level driver logic for interfaces including I?;C and SPI Supporting requirements capture, architecture definition and module-level design specifications Contributing to Design for Test (DFT) and Design for Manufacture (DFM) considerations throughout the development lifecycle Writing and maintaining test benches, including self-checking test environments where appropriate Performing functional and timing simulations to verify FPGA designs Documenting verification activities and validation results Ensuring robust and reliable operation through rigorous testing and review processes Supporting hardware bring-up, validation and system integration activities Using laboratory equipment such as logic analysers and oscilloscopes for debugging and performance verification Investigating timing, interface and constraint-related issues Working closely with electronics and software engineers to resolve complex technical challenges Managing XDC constraints, clocking strategies, reset architectures and clock domain crossing analysis Achieving timing closure and generating production-ready FPGA bitstreams Applying best practices for synchronous design, metastability mitigation and design reliability Maintaining configuration management and release processes using version control tools Producing high-quality technical documentation. What we're looking for You'll be a practical FPGA engineer with strong technical expertise and a passion for delivering reliable, high-quality products. In order to be successful in this role it is essential that you have: Degree in Electronic Engineering, Electrical Engineering, Computer Engineering or a related discipline, or equivalent industry experience Strong hands-on experience developing and verifying FPGA designs using VHDL Proven experience working with Xilinx Artix-7 devices Strong knowledge of Vivado including: Project creation and management, Synthesis, Place and route, Constraints management, Timing analysis and closure, Bitstream generation, Experience designing deterministic finite state machines (FSMs) Experience implementing and validating embedded communication interfaces including: I?;C, SPI, UART (desirable) Experience creating self-checking test benches and performing simulation-based verification Practical experience bringing up and testing FPGA hardware in the lab Strong understanding of: Timing constraints (XDC), Clock domain crossing (CDC), Metastability, Reset strategies, Synchronous digital design principles Experience using version control systems such as SVN A track record of delivering FPGA functionality from requirements through to validated hardware It would be great if you had: Knowledge of PCB design considerations and signal integrity principles Experience using scripting languages such as Tcl or Python to automate development flows Exposure to FPGA design process improvements and build automation Experience collaborating closely with embedded software and electronics engineering teams in a product development environment Why join HUBER+SUHNER Polatis At HUBER+SUHNER Polatis, our people are at the centre of everything we do. We offer the opportunity to work on innovative technologies, solve challenging engineering problems and develop your career within a global organisation. If you're looking for a role where you can combine FPGA expertise with cutting-edge technology development, we'd love to hear from you. Apply today and help us build the technology that keeps the world connected. TPBN1_UKTJ

Software Engineer Location : Cambridge, CB4 0WN Salary : Competitive, DOE + Excellent Benefits Contract : Permanent, Full-Time Hours : Monday to Friday, 37.5 hours per week (8:00am to 6:00pm), with occasional overtime and weekend working. This is an on-site role. Benefits : Annual bonus scheme, Private healthcare, Co-financed gym membership, Life insurance, Additional annual leave through our Company Day, Ongoing learning and development opportunities At HUBER+SUHNER Polatis, we're helping to keep the world connected. Our innovative optical networking solutions enable the seamless movement of data across global communications infrastructure, supporting industries that rely on speed, reliability and performance. We're looking for a talented Software Engineer to join our Cambridge team and play a key role in the development of cutting-edge embedded software that powers our industry-leading optical switching products. If you enjoy solving complex technical challenges, working closely with hardware and software teams, and seeing your work make a tangible impact on world-class technology, we'd love to hear from you. What you'll be doing As a Software Engineer, you'll contribute to the architecture, design, development and integration of embedded software solutions for our Polatis product portfolio. Your responsibilities will include: Designing, developing and maintaining robust software components within embedded Linux environments Working closely with Software Architects and senior engineers to implement scalable, high-performance software solutions Contributing to architectural discussions, design reviews and continuous improvement initiatives Taking ownership of software modules from concept through to deployment Developing application software in C using POSIX APIs Working within Linux-based systems, including boot processes, Device Tree configuration (DTB) and kernel driver interaction Integrating and maintaining open-source libraries within existing software platforms Supporting debugging, optimisation and system administration activities Collaborating with hardware engineers to integrate software with new and existing platforms Working with communication protocols including I2C, UART, SPI and USB Troubleshooting hardware-software interaction issues and implementing effective solutions Interpreting hardware schematics to support integration and debugging activities Partnering with test engineers to define verification strategies and deliver comprehensive test coverage Analysing test results and resolving issues with a methodical, data-driven approach Producing technical documentation and project artefacts in line with development processes and compliance requirements What we're looking for You'll be an experienced software engineer with a passion for embedded systems and a desire to contribute to innovative technology solutions. In order to be successful in this role you must have: Degree in Computer Science, Electronics, Software Engineering or a related discipline, or equivalent industry experience At least 3 years' experience developing software in C for embedded systems Experience working with ARM-based microcontrollers Strong understanding of coding standards, software design principles and development best practices Experience developing software in Linux environments Knowledge of Linux boot processes, Device Tree configuration and kernel drivers Ability to develop user-space applications using POSIX APIs Experience integrating open-source software libraries Strong debugging and troubleshooting skills Experience working with hardware communication protocols including I2C, UART, SPI and USB Ability to read and interpret hardware schematics Experience working with Yocto build systems and supporting new platform designs It would be great if you had: Experience using Git for source control and collaborative development Exposure to Continuous Integration (CI) tools and automated development workflows Knowledge of scripting languages for automation Understanding of networking protocols and cyber security principles Experience with secure data storage and software vulnerability mitigation Why join HUBER+SUHNER Polatis At HUBER+SUHNER Polatis, our people are at the heart of everything we do. We combine the agility of an innovative technology business with the support and stability of a global organisation. If you're looking for an opportunity to work on complex embedded software challenges while helping shape the future of global connectivity, we'd love to hear from you. Apply today and help us keep the world connected. TPBN1_UKTJ

Job Overview:The Software (CE-SW) group is responsible for developing and improving the software ecosystem around Arm's next generation architectures and systems. This means working with processors and other hardware technology not yet available to the public. You will join a team of Software Engineers who share a passion for leaving their mark on the future of computing.We are looking for highly capable engineers to work in the areas of Client/Server/Automotive/IoT, ready to use their knowledge and experience to ensure we continue to deliver software with the level of quality demanded by our customers.If you are similarly passionate about innovative technologies, then we would love to hear from you!Responsibilities:Active involvement in the software design and test of reference application processor firmware.Your day to day role will involve low level software development, test and debug on various platforms, including software models, development boards and shipping products.Creating software stacks for Arm’s reference platforms for future Arm devices.Development of test codeCreate automation solutions to streamline and minimize manual testing and development tasks.We want you to be able to analyse industry specs, roadmap requirements, breakdown tasks and help implement the project plans.Your activities will involve upstreaming and maintenance.Required Skills and Experience :Excellent C/C++ programming skills with the ability to add significant new functionality, analyse and fix complex defects. Some knowledge of assembly and strong debugging skills are preferred.Demonstrated experience with software testing or software development.Expertise in application and low-level systems, with a strong understanding of system architecture (preferably ARM), OS fundamentals, bootloaders, and device drivers. Proficiency in Linux/Windows operating systems and driver development is preferred.Good understanding of test methodologies, CI and test automation.Strong interpersonal skills; excellent written and spoken English.“Nice To Have” Skills and Experience :Experience with Python programming and writing shell scripts.Basic understanding of the Linux kernel, system software and device drivers, and Android internalsFamiliarity with open-source project development cycles and contribution processes.Experience of software profiling, instrumentation, and optimization.Verification and validation of firmware on both pre-silicon platforms.A knowledge of how to test software using various techniques alongside an awareness of the value of CI and automated test systems.Experience with Security Development Lifecycle (SDL) practices.Familiarity and flexibility in the use of various software development lifecycle methods including Agile.In Return:You will have the opportunity to learn about the latest Arm architecture features, working closely with highly skilled engineering teams on ground-breaking technology. You will be empowered to continually identify and roll out improvements to our ways of working. If you are interested but unsure whether you tick all the boxes, we still would love you to reach out! We are keen to welcome versatile people into Arm!Additional InformationIf 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.#LI-MSOur 10x MindsetAt Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: Use of AI in Your ApplicationAt Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact accommodations@arm.com so we can support you.Recruitment Adjustments and AccommodationsAt 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.Hybrid WorkingArm’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.Equal OpportunitiesArm 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.

The Software (CE-SW) group is responsible for developing and improving the software ecosystem around Arm's next generation architectures and systems. Work on next-generation Arm-based SoC innovation shaping the performance, efficiency, and reliability of future computing platforms.This means working with processors and other hardware technology not yet available to the public. You will join a team of Software Engineers who share a passion for leaving their mark on the future of computing.Job Overview:We are looking for an experienced Embedded Software Engineer with strong expertise in SoC power management. The successful candidate will be responsible for designing, developing, integrating, and validating power management software for next-generation Arm-based SoC platforms.The role requires a strong understanding of hardware-software interactions, system-level power management, firmware architecture, and platform bring-up across simulation, emulation, FPGA, and silicon environments.If you are similarly passionate about innovative technologies, then we want to hear from you!Responsibilities:Design, develop, and maintain low-level firmware and software for SoC power management.Implement and optimize system power states, including power-on, power-off, suspend, resume, and low-power modes.Lead a team of engineers to develop and deliver high-quality software solutions.Develop firmware supporting CPU, cluster, and system-level power management.Implement power domain control, clock management, reset management, and voltage regulation.Support power sequencing and coordination across multiple SoC components.Develop and integrate Dynamic Voltage and Frequency Scaling (DVFS) mechanisms where applicable.Your day to day role will involve low level software development, test and debug on various platforms, including software models, development boards and shipping products.Required Skills and Experience:Experience working in embedded system and low level firmwareProficiency in Linux operating systems and driver developmentExpertise in SoC power management & strong debugging skillsExcellent C programming skills with the ability to add significant new functionality, analyse and fix complex defects. Some knowledge of assembly are preferred.Extensive familiarity with system architecture (preferably ARM), OS fundamentals, bootloaders, and device drivers.Experience in leading technical area of software development“Nice To Have” Skills and Experience:Familiarity with open-source project development cycles and contribution processes.Familiarity and flexibility in the use of various software development lifecycle methods including Agile.In Return:You will have the opportunity to learn about the latest Arm architecture features, working closely with highly skilled engineering teams on ground-breaking technology. You will be empowered to continually identify and roll out improvements to our ways of working.#LI-MSOur 10x MindsetAt Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: Use of AI in Your ApplicationAt Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact accommodations@arm.com so we can support you.Recruitment Adjustments and AccommodationsAt 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.Hybrid WorkingArm’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.Equal OpportunitiesArm 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.

Own the quality gate for the drivers that power Graphcore’s next-generation AI systems. As a Staff System Software Engineer in Test, you will join the Drivers QA team in Cambridge. You will design, build and run tests for complex Linux device drivers, user space libraries and platform tools. Your work will help ensure Graphcore’s driver releases are reliable, robust and production ready. You will shape test strategy, raise engineering standards and solve issues across hardware, firmware, drivers and higher-level software. You will stay deeply hands‑on while guiding test infrastructure, coverage and best practice. This role is for someone who wants technical breadth, deep systems work and real ownership of quality. The Drivers QA team validates the low-level software that connects Graphcore’s products to real system use. Work spans component testing, system testing, user acceptance and cross-stack validation. You will work closely with development, hardware, firmware, ML stack, Kubernetes and cloud management teams. Decisions are shaped through technical evidence, clear communication and direct ownership. The team moves with purpose, but quality is never treated as an afterthought. You will be expected to speak up, take responsibility and help others raise the bar. • Deep experience validating Linux kernels and/or device drivers, • Strong test development skills in C++ and Python, • Experience with CI/CD, build tools and modern automated testing practices, • Ability to debug complex cross-layer issues using hardware and software tools, • Confidence shaping test strategy, infrastructure and coverage for production software, • Clear communication skills, with the judgement to influence technical decisions across teams 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 Comment by Helen Doyle: can we take out unlimited as its not contractual and change to generous or flexible., • 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 own the quality of the driver software behind Graphcore’s next-generation AI systems, we’d love to hear from you. #J-18808-Ljbffr

Contract: Permanent, Full-Time Hours: Monday to Friday, 37.5 hours per week (8:00am to 6:00pm), with occasional overtime and weekend working. This is an on-site role. Benefits: Annual bonus scheme, Private healthcare, Co-financed gym membership, Life insurance, Additional annual leave through our Company Day, Ongoing learning and development opportunities At HUBER+SUHNER Polatis, we're helping to keep the world connected. Our innovative optical networking solutions enable the seamless movement of data across global communications infrastructure, supporting industries that rely on speed, reliability and performance. We're looking for a talented Software Engineer to join our Cambridge team and play a key role in the development of cutting-edge embedded software that powers our industry-leading optical switching products. If you enjoy solving complex technical challenges, working closely with hardware and software teams, and seeing your work make a tangible impact on world-class technology, we'd love to hear from you. As a Software Engineer, you'll contribute to the architecture, design, development and integration of embedded software solutions for our Polatis product portfolio. Your responsibilities will include: • Designing, developing and maintaining robust software components within embedded Linux environments, • Working closely with Software Architects and senior engineers to implement scalable, high-performance software solutions, • Contributing to architectural discussions, design reviews and continuous improvement initiatives, • Taking ownership of software modules from concept through to deployment, • Developing application software in C using POSIX APIs, • Working within Linux-based systems, including boot processes, Device Tree configuration (DTB) and kernel driver interaction, • Integrating and maintaining open-source libraries within existing software platforms, • Supporting debugging, optimisation and system administration activities, • Collaborating with hardware engineers to integrate software with new and existing platforms, • Working with communication protocols including I2C, UART, SPI and USB, • Troubleshooting hardware-software interaction issues and implementing effective solutions, • Interpreting hardware schematics to support integration and debugging activities, • Partnering with test engineers to define verification strategies and deliver comprehensive test coverage, • Analysing test results and resolving issues with a methodical, data-driven approach, • Producing technical documentation and project artefacts in line with development processes and compliance requirements You’ll be an experienced software engineer with a passion for embedded systems and a desire to contribute to innovative technology solutions. In order to be successful in this role you must have: • Degree in Computer Science, Electronics, Software Engineering or a related discipline, or equivalent industry experience, • At least 3 years’ experience developing software in C for embedded systems, • Experience working with ARM-based microcontrollers, • Strong understanding of coding standards, software design principles and development best practices, • Knowledge of Linux boot processes, Device Tree configuration and kernel drivers, • Ability to develop user-space applications using POSIX APIs, • Experience integrating open-source software libraries, • Strong debugging and troubleshooting skills, • Experience working with hardware communication protocols including I2C, UART, SPI and USB, • Ability to read and interpret hardware schematics, • Experience working with Yocto build systems and supporting new platform designs, • Excellent verbal and written communication skills, • Strong analytical and problem-solving abilities, • A proactive approach to learning and continuous improvement, • Careful attention to detail when developing and testing software, • The ability to work effectively within a collaborative engineering environment, • Experience using Git for source control and collaborative development, • Exposure to Continuous Integration (CI) tools and automated development workflows, • Knowledge of scripting languages for automation, • Understanding of networking protocols and cyber security principles, • Experience with secure data storage and software vulnerability mitigation At HUBER+SUHNER Polatis, our people are at the heart of everything we do. We combine the agility of an innovative technology business with the support and stability of a global organisation. If you're looking for an opportunity to work on complex embedded software challenges while helping shape the future of global connectivity, we'd love to hear from you. #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. 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. Specialised 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 & evaluate results., • Prepare, submit & 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. About you: • 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/ATen ops, streams, and asynchronous execution, • Mathematics skills to support the above: calculus, probability theory and linear algebra., • Experience submitting papers to international scientific conferences or workshops. In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications #J-18808-Ljbffr

The Role Triple Eight Race Engineering is seeking an experienced Race Engineer to join our Supercars engineering team. In this role, you will have primary engineering responsibility for a specific race car, working closely with the driver and the broader engineering team to translate vehicle data, simulation, testing and driver feedback into measurable improvements in vehicle performance and lap time. This is a full-time, trackside role, requiring attendance at all Supercars events and additional testing programs. Between events, the role will involve workshop-based engineering, data analysis, simulation, vehicle development and performance optimisation. The successful candidate will play a key role in the performance of the race car, from preparation and testing through to race weekend execution and post-event analysis. Key Responsibilities Vehicle Performance & Setup Contribute to the performance and ongoing development of the race car, including the optimisation of vehicle setup and systems. Engineer the car at race events and test days, including developing run plans, making setup decisions and leading technical debriefs. Maintain the technical legality and compliance of the race car in accordance with Supercars technical regulations. Establish and maintain a strong, professional working relationship with the driver, integrating driver feedback with objective vehicle data to determine setup direction. Identify vehicle performance opportunities and develop practical engineering solutions to improve car performance. Data Analysis, Simulation & Correlation Analyse vehicle data from testing and race events to identify performance trends, opportunities and areas for improvement. Utilise simulation, statistical analysis and modelling techniques to investigate vehicle behaviour and predict performance. Correlate simulation outputs, rig testing and track results, ensuring findings are accurately reflected in vehicle models. Translate engineering analysis into practical setup changes and measurable improvements in vehicle performance and lap time. Plan and execute track testing and engineering experiments, including establishing test objectives, methodologies and instrumentation requirements. Maintain accurate engineering records and ensure relevant findings are communicated effectively across the engineering team. Team & Capability Development Work collaboratively across design, simulation, testing, data engineering and vehicle performance functions. Contribute to the development and implementation of engineering processes, tools and methodologies. Support the development and mentoring of junior engineers, contributing to the ongoing growth of the teams technical capability. Share knowledge and technical learnings across the wider engineering group. Working Relationships The Race Engineer will work closely with the Driver, Car Crew, Data Engineers, Head of Performance and Technical Director, as well as the wider engineering, design, simulation and operations teams. The role requires strong collaboration across all areas of the business, with the ability to communicate complex technical information clearly and make effective decisions within a high-performance environment. About You Essential Degree in Mechanical, Automotive, Mechatronic or a related engineering discipline. Demonstrated professional motorsport experience in an engineering capacity, such as Race Engineering or Performance Engineering. Strong understanding of vehicle dynamics, including tyres, kinematics, aerodynamics and powertrain, and their interaction with vehicle setup and performance. Strong data interpretation, analytical and numerical skills. Excellent communication and interpersonal skills, with the ability to establish and maintain a strong working relationship with a professional driver. Demonstrated ability to make sound engineering decisions under pressure within a fast-paced, high-performance environment. Strong organisational skills and the ability to manage competing priorities within demanding race and testing schedules. Desirable Experience with vehicle dynamics simulation, lap time simulation or driver-in-the-loop simulation. Programming experience, particularly in languages or tools used for engineering analysis and data processing. Experience applying statistical analysis or machine learning techniques to engineering and vehicle performance data. Working knowledge of Supercars technical regulations. Motorsport data analysis experience, particularly using MoTeC. Postgraduate qualification in Motorsport Engineering, Vehicle Dynamics or a related discipline. Experience working within a professional Supercars or comparable high-level motorsport environment. About Triple Eight Race Engineering Engineering with racing in our DNA. Triple Eight Race Engineering is one of the most successful and respected organisations in Australian motorsport. Based in Banyo, Queensland, Triple Eight operates across two facilities on the same street — the Race Centre and the Advanced Manufacturing facility. Our team combines world-class engineering, technical capability and motorsport expertise to develop and operate high-performance race cars at the highest level of competition. Benefits Opportunity to work within a professional, high-performance motorsport engineering environment. Exposure to a nationally and internationally recognised motorsport organisation. National and international travel opportunities. Access to onsite chef, gym and parking facilities. Opportunity to work alongside highly experienced engineers, technicians and motorsport professionals. Exposure to advanced vehicle performance, simulation, data analysis and engineering development programs. How to Apply If you are an experienced engineer with a strong passion for motorsport and the technical capability to perform in a high-performance environment, we would like to hear from you. Due to the expected volume of applications, only shortlisted candidates will be contacted.

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-BG1 At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: https://careers.arm.com/10x-mindset At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact accommodations@arm.com so we can support you. 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

Job: Performance Engineer Team: W Racing Team Program: HYPERCAR WEC Group: WEC Engineering Group (WEC_EG) Reporting to: WRT Hypercar>P Lead Engineer (LENG) Job Description As a Performance Engineer within our HYPERCAR WEC race program, you will play a key role in maximizing vehicle performance across simulation, testing, and race events. Working closely with the Race Engineer, drivers, and wider engineering team you will be responsible for analyzing car and driver data, identifying performance opportunities, and supporting strategic decisions during race weekends. This role requires a deep technical understanding of modern prototype race cars, strong data analysis skills, and the ability to operate under pressure in a fast-paced, competitive environment. Tasks and responsibilities contain as a baseline, but are not limited to the following: Work within the WRT-BMW Engineering Group (Performance Engineering) in WEC to continuously look to optimize and improve performance of our LMDh race cars. Work in tight collaboration with the race car allocated race- and systems-engineer. Provide performance and driver analysis to support Race Engineer on setup/performance systems directions prior to, during and post event. Responsible for performance simulations: preparation, execution and analysis. Performance overview throughout the use of KPI, data analysis and simulations. Lead pre-event driver preparation document and post event driver analysis report. Provide race strategy support to Race Engineer with fuel and energy tracking and optimization. Monitor and manage vehicle performance during free practice, qualifying, and race sessions. Work collaboratively with vehicle dynamics, tire, systems, and simulation teams to validate tools and models. Conduct competitor analysis using FIA data, onboard footage, and lap-time modelling. Prepare detailed pre- and post-event reports highlighting key performance insights. Lead data reviews with drivers and contribute to debriefs and strategy meetings. Assist in developing automated tools for data processing and visualization. Support rig tests, dyno work, and simulator sessions as required. Ensure compliance with technical regulations and BoP (Balance of Performance) limitations. Be responsible for dedicated performance-related tasks assigned by WRT LMDh Chief Engineer. Work with global BMW and WRT engineering groups to maintain, develop and update any Engineering and analysis tools and software. The Performance Engineer should have the following desired skillset: Degree in Motorsport Engineering, Mechanical Engineering. 3+ years of experience in professional motorsport, preferably in WEC, IMSA, or F1/F2. Strong proficiency with data analysis software (e.g., MATLAB, Python, ATLAS/MoTeC, Excel). In-depth understanding of vehicle dynamics, tire modelling, and aerodynamics. Experience with simulation tools (e.g., lap-time simulation, driver-in-the-loop simulators). Ability to work effectively in high-pressure, high-stakes environments with tight deadlines. Excellent communication skills for clear interaction with drivers and technical teams. Flexibility to travel extensively, including weekends and long hours at race and test events. Promote our values (People, Passion, Performance) and commit to personal investment into the WRT ESG strategy.

BIOS is a pioneering neural interface company building the infrastructure on which future neural treatments will be discovered, developed, and delivered. BIOS has developed neural interfaces and AI that, for the first time, can read and write the body’s neural data, or ‘code’, to understand and correct those signals in real-time. BIOS envisions a new field of digital health treatments that use this new data- driven insight from the nervous system to create better, more targeted medicine. Neural digital therapies will use BIOS' software to understand the effects on the nerves, leading to more precise creation of pharmaceuticals and software- delivered treatments direct to the nervous system. For more information, visit: www.bios.health Joining BIOS means joining an incredibly talented and motivated group of people who share our vision of pioneering an industry. We have a fun and friendly atmosphere but challenge ourselves every day and are committed to the work. We are looking for people who will fit into our diverse, fun and stimulating company team culture, who are focused on overcoming challenges, and want to grow along with the company. Successful candidates will; take incredibly complex problems and work to find elegant, simple solutions; work in an open environment; care deeply about changing the way we treat chronic illness and helping to make real world change; and have a desire and belief in achieving the impossible. We're hiring a Full-Stack Engineer to own the frontend, backend, and DevOps function for Neurotune, end to end, including the React app, the REST surface, the PostgreSQL schema, the background-job pipeline, the cloud infrastructure it all runs on, and the deployment. • A React + TypeScript SPA with a mature component library, scientific visualisation, a small state layer, and a real test suite., • An async-first Python service with Pydantic, raw SQL over an async PostgreSQL driver, multi-tenant data isolation, a background-task system, and OAuth + JWT auth., • A managed cloud environment with Terraform for everything, managed compute and PostgreSQL, object storage, secret management, and a CI pipeline you own., • Own the core web application: planning, study execution, and analysis surfaces., • Design and ship scientific visualisations together with researchers, • Maintain the API client with its custom retry/auto-relogin behaviour., • Own frontend quality: tighten linting/formatting, increase test coverage,, • and own the test setup and mock layer., • Own the REST surface: design new endpoints, own the response envelopes and Pydantic models, and evolve the public contract., • Write raw async SQL (no ORM) and maintain the data model migration process., • Own the multi-tenant per-tenant schema model, • Add and maintain background tasks, • Implement streaming responses and server-side cursors for large dataset, • Work with JSONB + GIN indexes, and the streaming scientific-data, • Own the cloud infrastructure that runs the web app and services, • Own CI pipeline, deployment, release, security, observability and, • compliance posture for the cloud product, • 3+ years of professional full-stack experience owning production web applications end to end strict mode, branded types, generics., • Solid Python experience with an async web framework, • Production experience with Terraform (or similar), Docker and a major cloud — we run on GCP, but AWS/Azure experience is welcome., • Hands-on experience with managed serverless compute, managed, • Postgres, object storage, secret management, and managed DNS., • Security mindset: parameterised SQL, secret management, httpOnly, • Multi-tenant SaaS experience (per-tenant schemas, row-level security, data isolation)., • Plotly.js, D3.js, Observable, or another scientific/financial visualisation library., • Medical device development, clinical, scientific, or other regulated- industry experience (HIPAA, ISO 27001, MHRA, GDPR)., • Familiarity with Tauri, or another webview-shell framework., • GCP experience,, • CI/CD pipeline ownership: GitLab CI, or equivalent., • Working on world-changing technology with leaders in the field Dynamic, innovative, passionate, entrepreneurial team, • Inclusive company culture, • Flexible hours (outside of core hours) #J-18808-Ljbffr

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. AMD seeks high calibre software engineers to work on the design and implementation of embedded firmware for AMD networking products. This is an exciting role in the AMD Network Technology Group based in the Cambridge UK office. You will be part of a key engineering team developing software for next-generation networking for cloud and hyperscale data centre operators and for AMD's AI systems. The role will involve working with different teams both within the Cambridge office and across AMD sites worldwide: working closely with the silicon team to refine the design and model the RTL, working with host driver teams to develop high performance network stacks and working with the system test to take products to release. The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD. You will have worked extensively at the hardware / software interface involving networking in some capacity, programming in C. To be successful you will have the ability to quickly understand a complex hardware and software architecture. You will be able to tackle system level problems and demonstrate knowledge of relevant embedded debug techniques and tools. • 7+ years software experience (or equivalent) working at silicon or networking companies., • Proven commercial experience developing in C, • Experience of python and other scripting languages, • Strong communication skills, • Hardware/software codesign, • Ethernet & TCP/IP, • Embedded systems ideally with experience of system software and device drivers, • Understanding of server system architectures e.g. PCI-Express, • Experience of linux systems, • Experience of digital design (EDA tools, Verilog, VHDL) Bachelor's, Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent. #LI-GS1 #Hybrid Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy. #J-18808-Ljbffr

Arm's Central Technology Machine Learning Group is looking for highly motivated and creative software engineers to join the ML compiler development team! You would join our diverse and dedicated team shaping the future of AI on Arm's platforms. We work on all aspects of ML graph compilation - model ingestion, low-level hardware programming, efficient memory allocation and performance optimisation. You will contribute to the design and implementation of an AI/ML compiler and ensure that it integrates well with rest of our ML software stack. We are looking for an engineer who has a desire to build knowledge, learn new skills, can adapt to a constantly evolving environment and who enjoys complex problem solving. Given the impact and reach of this technology, you’ll have an opportunity to collaborate with specialists across the company. • Experience with the whole software lifecycle - taking complex software from initial design through to production and support, • Strong programming expertise in C++ and Python, • Compiler knowledge, ideally experience with ML compilation technologies such as MLIR or TVM, • Understanding of how to rigorously test software and design software for test, • Ability to effectively use AI tools when working on a shared codebase, • Capable of working independently or in small groups, with a high degree of initiative, • Fluency in English, both written and spoken, • Good communication skills and collaborative mindset, • Experience using software simulators and/or FPGAs, • Exposure to any of the following: driver development, inference engines like llama.cpp or vLLM, performance analysis of ML and GenAI workloads, knowledge of Neural Network Processing Units (NPU) or Graphics Processing Units (GPU) and how they are used for ML. You will receive a competitive reward package which includes generous stock awards and a range of benefits to support your wellbeing. We strive to provide an open and accepting environment where you are encouraged to share your ideas and opinions, which enables collective innovation and creativity, and supports your professional and personal growth. Please note this role does not meet the eligibility requirements for sponsorship, and therefore the successful candidate must have the right to work in the UK without relying on sponsorship by Arm. At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: 10x-mindset At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact so we can support you. 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. Salary Range: £97,300 - £131,700 per year #J-18808-Ljbffr

Arm's Central Technology Machine Learning Group is looking for highly motivated and creative software engineers to join the ML compiler development team! You would join our diverse and dedicated team shaping the future of AI on Arm's platforms. We work on all aspects of ML graph compilation - model ingestion, low-level hardware programming, efficient memory allocation and performance optimisation. You will contribute to the design and implementation of an AI/ML compiler and ensure that it integrates well with rest of our ML software stack. We are looking for an engineer who has a desire to build knowledge, learn new skills, can adapt to a constantly evolving environment and who enjoys complex problem solving. Given the impact and reach of this technology, you’ll have an opportunity to collaborate with specialists across the company. • Experience with the whole software lifecycle - taking complex software from initial design through to production and support, • Strong programming expertise in C++ and Python, • Compiler knowledge, ideally experience with ML compilation technologies such as MLIR or TVM, • Understanding of how to rigorously test software and design software for test, • Ability to effectively use AI tools when working on a shared codebase, • Capable of working independently or in small groups, with a high degree of initiative, • Fluency in English, both written and spoken, • Good communication skills and collaborative mindset, • Experience using software simulators and/or FPGAs, • Exposure to any of the following: driver development, inference engines like llama.cpp or vLLM, performance analysis of ML and GenAI workloads, knowledge of Neural Network Processing Units (NPU) or Graphics Processing Units (GPU) and how they are used for ML. You will receive a competitive reward package which includes generous stock awards and a range of benefits to support your wellbeing. We strive to provide an open and accepting environment where you are encouraged to share your ideas and opinions, which enables collective innovation and creativity, and supports your professional and personal growth. Please note this role does not meet the eligibility requirements for sponsorship, and therefore the successful candidate must have the right to work in the UK without relying on sponsorship by Arm. 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

Job Description \n Embedded Software Engineer - C++ - Embedded Linux - VoIP \n Location: Cambridgeshire Employment Type: Permanent, Full-time Working Arrangement: On-site \n The Opportunity \n Tiger Resourcing Group is recruiting for an experienced Embedded Software Engineer to join an established engineering organisation developing advanced electronic and communications technologies. \n This is an excellent opportunity for an engineer with strong Embedded software development experience to take on a technically challenging position, contributing to the architecture, design and development of sophisticated Embedded systems. \n Working closely with multidisciplinary engineering teams, you will be involved throughout the complete product development life cycle, from initial system architecture and software design through to implementation, integration, testing and ongoing technical improvement. \n The successful candidate will combine hands-on Embedded development expertise with the ability to provide technical leadership, support engineering decisions and mentor other members of the development team. \n Key Responsibilities \n Embedded Software Design & Development \n \n Design, develop and maintain Embedded software for complex electronic and communications systems. \n Develop software using C, C++ and/or Rust. \n Contribute to software architecture, detailed design and algorithm development. \n Develop and integrate software for Embedded Linux and Real Time operating system environments. \n Support low-level hardware integration, platform bring-up and device driver development. \n Implement and maintain network-connected Embedded software solutions. \n Investigate and resolve complex software, hardware and system integration issues. \n Produce detailed software design documentation and technical specifications. \n \n Testing, Integration & Verification \n \n Develop and execute unit, integration and system-level tests. \n Support hardware and software integration activities. \n Investigate software defects, perform debugging and implement corrective actions. \n Contribute to automated testing and test-driven development practices. \n Participate in software design reviews, code reviews and technical assessments. \n Work closely with hardware, systems and test engineers to ensure product quality and reliability. \n \n Technical Leadership & Continuous Improvement \n \n Provide technical guidance and mentoring to other software engineers. \n Take technical responsibility for assigned development activities and smaller engineering projects. \n Support project engineers with technical planning and coordination. \n Provide specialist technical advice to internal stakeholders and customers. \n Identify opportunities to improve software architecture, development processes and engineering practices. \n Research and evaluate emerging technologies, tools and development methodologies. \n Contribute to the delivery of reliable, secure and maintainable Embedded software solutions. \n \n Essential Skills & Experience \n \n Significant commercial experience in Embedded software development using C, C++ and/or Rust. \n Strong understanding of Embedded software architecture and development methodologies. \n Experience working across the complete software product development life cycle. \n Proven experience developing software for hardware-integrated or Real Time systems. \n Strong debugging, analytical and problem-solving capabilities. \n Ability to work effectively with multidisciplinary engineering teams. \n Experience providing technical guidance or taking ownership of complex software development activities. \n Good communication skills and the ability to explain technical concepts to engineering and non-engineering stakeholders. \n A relevant technical degree or equivalent practical engineering experience. \n \n Desirable Technical Experience \n Embedded Linux & Real Time Systems \n \n Embedded Linux development using Yocto. \n Board Support Package (BSP) development and platform bring-up. \n System integration and low-level hardware/software interaction. \n RTOS development, particularly Zephyr. \n Device driver development and debugging. \n \n Networking & Communications \n \n IP Networking and network-connected Embedded devices. \n Voice Over IP (VoIP) technologies. \n SIP, TLS and Secure Real Time Transport Protocol (SRTP). \n Development of Embedded network services and communications protocols. \n Software Defined Radio (SDR) concepts and architectures. \n \n Embedded Applications & Security \n \n Embedded web applications and multi-user access control. \n LDAP or RADIUS authentication integration. \n Secure boot and Trusted Platform Module (TPM) integration. \n Cryptographic key management and Embedded security principles. \n \n Signal Processing & Development Tools \n \n Digital Signal Processing (DSP) concepts and algorithms. \n Model-based design and simulation for Embedded o

Job Description \n Embedded Software Engineer - C++ - Embedded Linux - VoIP \n Location: Cambridgeshire Employment Type: Permanent, Full-time Working Arrangement: On-site \n The Opportunity \n Tiger Resourcing Group is recruiting for an experienced Embedded Software Engineer to join an established engineering organisation developing advanced electronic and communications technologies. \n This is an excellent opportunity for an engineer with strong Embedded software development experience to take on a technically challenging position, contributing to the architecture, design and development of sophisticated Embedded systems. \n Working closely with multidisciplinary engineering teams, you will be involved throughout the complete product development life cycle, from initial system architecture and software design through to implementation, integration, testing and ongoing technical improvement. \n The successful candidate will combine hands-on Embedded development expertise with the ability to provide technical leadership, support engineering decisions and mentor other members of the development team. \n Key Responsibilities \n Embedded Software Design & Development \n \n Design, develop and maintain Embedded software for complex electronic and communications systems. \n Develop software using C, C++ and/or Rust. \n Contribute to software architecture, detailed design and algorithm development. \n Develop and integrate software for Embedded Linux and Real Time operating system environments. \n Support low-level hardware integration, platform bring-up and device driver development. \n Implement and maintain network-connected Embedded software solutions. \n Investigate and resolve complex software, hardware and system integration issues. \n Produce detailed software design documentation and technical specifications. \n \n Testing, Integration & Verification \n \n Develop and execute unit, integration and system-level tests. \n Support hardware and software integration activities. \n Investigate software defects, perform debugging and implement corrective actions. \n Contribute to automated testing and test-driven development practices. \n Participate in software design reviews, code reviews and technical assessments. \n Work closely with hardware, systems and test engineers to ensure product quality and reliability. \n \n Technical Leadership & Continuous Improvement \n \n Provide technical guidance and mentoring to other software engineers. \n Take technical responsibility for assigned development activities and smaller engineering projects. \n Support project engineers with technical planning and coordination. \n Provide specialist technical advice to internal stakeholders and customers. \n Identify opportunities to improve software architecture, development processes and engineering practices. \n Research and evaluate emerging technologies, tools and development methodologies. \n Contribute to the delivery of reliable, secure and maintainable Embedded software solutions. \n \n Essential Skills & Experience \n \n Significant commercial experience in Embedded software development using C, C++ and/or Rust. \n Strong understanding of Embedded software architecture and development methodologies. \n Experience working across the complete software product development life cycle. \n Proven experience developing software for hardware-integrated or Real Time systems. \n Strong debugging, analytical and problem-solving capabilities. \n Ability to work effectively with multidisciplinary engineering teams. \n Experience providing technical guidance or taking ownership of complex software development activities. \n Good communication skills and the ability to explain technical concepts to engineering and non-engineering stakeholders. \n A relevant technical degree or equivalent practical engineering experience. \n \n Desirable Technical Experience \n Embedded Linux & Real Time Systems \n \n Embedded Linux development using Yocto. \n Board Support Package (BSP) development and platform bring-up. \n System integration and low-level hardware/software interaction. \n RTOS development, particularly Zephyr. \n Device driver development and debugging. \n \n Networking & Communications \n \n IP Networking and network-connected Embedded devices. \n Voice Over IP (VoIP) technologies. \n SIP, TLS and Secure Real Time Transport Protocol (SRTP). \n Development of Embedded network services and communications protocols. \n Software Defined Radio (SDR) concepts and architectures. \n \n Embedded Applications & Security \n \n Embedded web applications and multi-user access control. \n LDAP or RADIUS authentication integration. \n Secure boot and Trusted Platform Module (TPM) integration. \n Cryptographic key management and Embedded security principles. \n \n Signal Processing & Development Tools \n \n Digital Signal Processing (DSP) concepts and algorithms. \n Model-based design and simulation for Embedded o

The Software (CE-SW) group is responsible for developing and improving the software ecosystem around Arm's next generation architectures and systems. Work on next-generation Arm-based SoC innovation shaping the performance, efficiency, and reliability of future computing platforms.This means working with processors and other hardware technology not yet available to the public. You will join a team of Software Engineers who share a passion for leaving their mark on the future of computing.Job Overview:We are looking for an experienced Embedded Software Engineer with strong expertise in SoC software development. The successful candidate will be responsible for designing, developing, integrating, and validating embedded software or next-generation Arm-based SoC platforms.The role requires a strong understanding of hardware-software interactions, system software, firmware architecture, and platform bring-up across simulation, emulation, FPGA, and silicon environments.If you are similarly passionate about innovative technologies, then we want to hear from you!Responsibilities:Design, develop, and maintain low-level firmware and SoC softwareParticipating in the design and implementation of new features and bug fixes in Trusted Firmware, secure OS, bootloaders, Linux KernelYour day to day role will involve low level software development, test and debug on various platforms, including software models, development boards and shipping products.Required Skills and Experience:Expertise in low-level software, with a strong understanding of system architecture (preferably ARM), OS fundamentals, bootloaders.Proficiency in Linux operating systems and driver developmentExcellent C programming skills with the ability to add significant new functionality, analyse and fix complex defects. Some knowledge of assembly are preferred.Extensive familiarity with system architecture (preferably ARM), OS fundamentals, bootloaders, and device drivers.Strong debugging skillsStrong interpersonal skills; excellent written and spoken English.“Nice To Have” Skills and Experience:Familiarity with open-source project development cycles and contribution processes.Familiarity and flexibility in the use of various software development lifecycle methods including Agile.In Return:You will have the opportunity to learn about the latest Arm architecture features, working closely with highly skilled engineering teams on ground-breaking technology. You will be empowered to continually identify and roll out improvements to our ways of working.#LI-MS Our 10x MindsetAt Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: Use of AI in Your ApplicationAt Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact accommodations@arm.com so we can support you.Recruitment Adjustments and AccommodationsAt 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.Hybrid WorkingArm’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.Equal OpportunitiesArm 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.

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