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Arm's Userspace Performance team is looking for software performance analysis engineers to improve the performance of software running on Arm systems worldwide. • Collecting data about how workloads run and analysing it to understand bottlenecks and decide on the next steps., • Analyzing and improving large codebases for different performance aspects., • Working with different platforms that include the latest hardware, FPGAs and software models of upcoming hardware designs., • Documenting analysis performed and sharing knowledge within the team and wider., • Producing write‑ups and presentations to help other developers handle similar problems., • Contributing improvements to open‑source projects or directly to our partners., • Established experience or a Bachelor’s (or above) degree or equivalent experience in a STEM subject., • Excellent C/C++ skills., • Experience profiling and tracing large applications to find bottlenecks of performance., • Deep awareness of System Architecture details (pipelines, caches, MMUs, interconnect, timers, multithreading)., • Strong problem‑solving and debugging skills., • Understanding of runtime engines for high‑level languages like Java, JavaScript, and similar., • Knowledge of compiler optimisations., • Understanding of OS concepts such as processes, threads, locks, virtual memory and how they relate to application performance., • Ability to reason about generated assembly code., • Familiarity with open‑source project development cycles and contribution processes., • Understanding of Arm architecture and tools. Our UK offices are collaborative and adapt the role and title for the right person. We welcome versatile people to Arm. If you are uncertain about the fit, we encourage you to reach out. We are committed to providing accommodations during the recruitment process. Please email . By consenting, you grant us permission to use the information for necessary accommodations and confidentiality will be maintained. Arm’s hybrid working model supports performance and personal well‑being. Team leaders determine hybrid patterns based on work needs; details will be shared during application. We collaborate to find the best solution when local regulations limit flexibility. Arm is an equal opportunity employer dedicated to creating a respectful environment. We do not discriminate on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. #J-18808-Ljbffr

Location: UK - Cambridgeshire - Addenbrookes Remote type: On-Site Time type: Full time The Clinical Unit Cambridge (CUC) is GSK’s MHRA-accredited early‑phase clinical and translational medicine centre, combining Phase I clinical trial delivery, advanced translational science, biomarker discovery, single‑cell and spatial omics capabilities, and technology‑enabled operations to generate high‑quality human data. Embedded within the Cambridge biomedical ecosystem and closely connected to academia, healthcare and industry partners, CUC accelerates FTIH and early clinical studies, de‑risks decision‑making, and improves the probability of technical and regulatory success across GSK’s early‑stage pipeline. This role will provide clinical leadership and management of a team of clinical research physicians as Principal Investigator (PI) for early‑phase and experimental medicine studies at Clinical Unit Cambridge to deliver high‑quality, ethically conducted trials that drive mechanistic insight and decision‑making for GSK’s portfolio. You will integrate clinical and scientific expertise, working closely within the Early Pipeline Unit and central GSK teams on early clinical development and translational medicine, and are expected to act as Principal Investigator (PI) on clinical pharmacology, experimental medicine and First‑Time‑In‑Human (FTIH) studies. • Work closely with central GSK teams to provide CUC medical and scientific expertise into the design, conduct, and interpretation of early‑phase and experimental medicine studies including FIH, PoM, PoC, and mechanistic studies., • Act as co‑Investigator or Principal Investigator on clinical pharmacology studies, experimental medicine studies and FTIH trials, in line with level of experience and MHRA accreditation requirements., • Act as senior clinical/scientific authority on protocol development, risk–benefit assessment, and data interpretation for unit studies., • Be accountable for authoring (where required), reviewing and approving the Informed Consent Form (ICF) and relevant Research Ethics Committee (REC) submission documentation, and responding to REC and regulatory authority questions., • Lead and perform protocol‑related activities including participant recruitment support, obtaining informed consent, medical screening, ongoing monitoring, post‑study clinical examinations, and review/interpretation of vital signs, ECG, spirometry, Holter and laboratory test results., • Perform and/or oversee study‑specific diagnostic/therapeutic procedures (e.g. venepuncture, cannulation, suction blisters, punch biopsies, ECGs) and assist with their processing., • Provide flexible support for clinical activities on an as‑needed basis, including oversight when procedures are undertaken by nursing staff and Physician Associates., • Dose and/or provide oversight of dosing of investigational medicinal products (IMPs) and non‑IMPs via oral, intravenous, subcutaneous and other routes, ensuring safe and accurate administration., • Provide complete medical cover (in conjunction with other unit physicians) for recruitment, study conduct and follow‑up, including coordination and provision of medical cover outside normal working hours as defined by protocols and senior medical leadership, and participate in out‑of‑hours on‑call rotas., • Drive innovation in trial methodologies (e.g., adaptive designs, integrated PK/PD, digital endpoints, imaging) aligned with GSK R&D strategy., • Hold primary responsibility for medical safety and governance decisions on assigned studies, escalating as appropriate, • Serve as named PI for allocated clinical studies, accountable for participant safety, data integrity, and regulatory/GCP compliance at the unit., • Develop strategies to anticipate and expertly manage medical safety issues, including clinical emergencies in the unit and during study participation., • Lead the management of adverse events and medical emergencies, including clinical decision‑making, intervention, documentation and communication., • Provide day‑to‑day medical oversight for study conduct: eligibility review, safety review, dose decisions, and management of adverse events., • Chair/participate in safety review committees and dose‑escalation meetings for early‑phase studies., • Ensure robust medical documentation, source data verification, and high‑quality clinical reporting from the unit, • Represent the CUC internally and externally as PI, including liaison with non‑GSK co‑development partners (e.g. NHS Trusts, university collaborators, research facilities) as required., • Ensure standards are maintained to enable the delivery of consistent high quality and safe clinical trial conduct, at the CUC, through relevant audit and quality improvement and governance activities, • Ensures compliance with acceptable medical standards and the requirements of the protocol, standard operating procedures, ICH GCP, Research Ethics Committees (RECs), regulatory authorities and other applicable guidelines and regulations., • Accountable for responding to questions from RECs, and regulatory authorities as required., • Lead inspection readiness and response activities (MHRA, EMA, FDA, other authorities) for the unit., • Sponsor continuous improvement initiatives in quality systems, SOPs, and risk management processes across the unit., • Ensure alignment with GSK internal policies, medical governance, and R&D quality frameworks., • Provide line leadership and coaching to the team of clinical research physicians, • Provide senior medical input into training of clinical staff at the CUC and support delivery and maintenance of appropriate in‑house clinical skills in the context of clinical trials., • Aid the development of multidisciplinary staff through teaching, training and supervision, acting as a role model for good clinical and research practice., • Support recruitment, retention, and development of high‑calibre physician‑scientist talent for the unit., • Foster an inclusive, learning‑oriented culture that encourages scientific curiosity, ethical conduct, and operational excellence., • Represent GSK and Clinical Unit Cambridge in external scientific and clinical forums (congresses, advisory boards, collaborations)., • Contribute to peer‑reviewed publications and scientific communications from unit studies., • Strengthen the unit’s reputation as a leading experimental medicine centre, attracting high‑quality collaborations and participants., • Medical degree with full GMC registration and licence., • UK‑trained doctors must have completed early Specialty or GP training, with acute medicine experience., • Non‑UK‑trained doctors must demonstrate clinical practice and get GMC registration., • Industry or academic experience in early clinical development / experimental medicine, including acting as PI or sub‑investigator on interventional trials, aligned with MHRA accreditation requirements., • Experience in clinical pharmacology in early phase I/II studies, in a clinical or academic setting., • Experience with biomarker strategy, PK/PD, and mechanism‑of‑action‑driven development., • Experience managing study teams focused on quality, on‑time and on‑budget delivery of clinical trials., • Experience working with central teams on FTIH and early clinical development/translational medicine., • A relevant post‑graduate qualification in clinical pharmacology is desirable., • Commitment to train toward and/or the Advanced Life Support Provider (as a minimum) qualification of the UK Resuscitation Council (UK)., • Strong verbal and written communication skills, ability to present and think critically along with a strong academic background., • Excellent interpersonal skills and energy to operate in a complex organisation environment, positive mindset and willingness to learn and develop in the role., • Ability to maintain and develop relationships and networks with different communities., • Familiarity with advanced methodologies (adaptive designs, modelling/simulation, digital health tools, imaging, etc.) is an advantage. Clinical Development, Drug Regulatory Affairs, Evidence Based Decision Making, Good Clinical Practice (GCP), Influencing Without Authority, Learning Agility, People Management, Project Management, Scientific Presentations, Strategic Thinking Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at #J-18808-Ljbffr

For more than 30 years, SonicWallhas delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . Location: This role supports the South England region. Candidates should be located within the territory or be willing to travel extensively throughout South England to support customers, partners, and business objectives. We are seeking a Solution Engineer for a role that typically offers 70% remote work within your designated regional country, supporting both sales and channel technical activities, with the potential for up to 30% travel. This position is ideal for a self-starter who is passionate about technology, enjoys enabling teams, and excels at connecting with individuals to address their needs. The successful candidate will possess proven hands-on experience with cybersecurity products, along with outstanding communication and presentation skills. This opportunity is well-suited for individuals with a track record in Pre-Sales, Support, or Professional Services within a Vendor, Channel, Customer, or Distribution context, who are eager to engage in a balanced mix of channel and technical sales activities while fostering trusted relationships with partners. • Proactive leader of technical discovery conversations to qualify and validate the customer requirements and use cases to build out a bill of materials that meets the customer needs and aligns to the desired outcomes, • Conduct technical sales presentations, product, and solution demonstrations across the SonicWall portfolio to an audience typically between 1-100 persons, keeping partners and customers informed of our new solutions and industry trends, • Talk to and demonstrate SonicWall's unique value proposition and know our key competitive offerings in this space, • Builds out a minimum of 10 trusted relationships with channel partners, holding recurring meetings with their channel technical decision makers, • Builds out and maintains a personal lab for the most common demo requests and personal development, • Support remote partner product trials, • Technical lead for proof of concepts that are either with a partner or direct with a customer, • Participate in beta testing and feedback of products, working alongside the product management teams, • Teaming with support where necessary to preserve relationships with partners and customers, • Support key technical marketing initiatives, build out collateral, presenting on virtual or external events, • Develop expertise to a PoC level between 3-6 x SonicWall product areas and be a subject matter expert and go-to person for region, • Shares best practices with fellow peers, • Provides support for onboarding new solutions engineers, • Keeps regional sales informed of roadmap insights, product updates, and technical best practices, • Adheres to the company values, guidelines, and solution engineering regional reporting tasks, • Works with VARs, MSPs, and MSSPs on managed service sales, deployment, and support, • Demonstrates a balance of business and technical acumen, proactively seeks to take a technical sales lead without instruction, • Develops skills and uses experience in business-focused discussions to envision and describe how a technical solution compliments existing customer and partner business practices, • Proven ability using formal best practice methods to present a convincing presentation, solution selling, demonstrate whiteboarding skills, objection handling and excellent time management, • Receives little instruction on day-to-day work and general instructions on new assignments., • Working in an effective way that maximizes the available time, optimize teaming discussions to deliver the required outcomes on time and to the required ask, • Exhibits advanced wide-ranging experience, using in-depth professional knowledge, acumen, concepts, and company objectives to develop, resolve complex models and procedures, • Exercises judgment in selecting methods, evaluating, adapting of complex techniques and evaluation criteria for obtaining results., • Work is reviewed upon completion and is consistent with departmental objectives., • Networks with key contacts including product management, support, marketing, and peers within the Solution engineering organization., • Adapts style and uses persuasion in delivering messages that relate to the wider firm business. Frequently advises others on complex matters, • Must reside in the UK., • Typically requires a minimum of 8 years of related experience with a bachelor’s degree or 5 years’ experience with MBA., • Cybersecurity CISSP Certified, • Retaining specialist knowledge across SonicWall products to the desired level, • SNSA & SNSP SonicWall Certified*Training will be provided, • Familiarity with governance and compliance issues and management/reporting solutions and requirements. Working knowledge of HIPAA, PCI, SOX, FERPA, CIPA, GDPR, etc., • In addition, the candidate must have experience with the following technologies: Full range of L2-L7 networking technologies and protocols, NAT, stateful firewall, IDS/IPS, web and content filtering, proxies, email security gateways, VPN and encryption (IPsec/SSL), PKI and key management, 802.11/WLAN, Syslog, NetFlow/IPFIX, Active Directory and LDAP, reading, interpreting and creating scripts, regular expressions and/or custom signatures, virtualization platforms including VMware, Hyper-V, AWS and Azure. #cybersecurity #solutions engineer SonicWall is an equal opportunity employer. We are committed to creating a diverse environment and are an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. At SonicWall, we pride ourselves on recruiting a diverse mix of talented people and providing active security solutions in 100+ countries. #J-18808-Ljbffr

CommonAI CIC is a non-profit organisation built around collaborative engineering and is backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems. Our Scaling Inference Lab (SIL) is developing simulation grounded in real measurements to help the UK invest in promising AI infrastructure. We connect proposed hardware designs to realistic workloads, helping investors and engineers understand their potential, their limitations and the next experiment worth doing. Help evaluate proposed AI hardware before it is available as a finished chip. You will turn RTL designs into working FPGA prototypes and emulation experiments, giving SIL and its technology partners a practical way to explore design behaviour and architectural choices. The initial focus is on RTL prototyping and emulation. You will help choose a useful first design and platform, adapt and integrate the RTL, and establish repeatable build, bring-up and experimental workflows. Working with our partners and colleagues in software and simulation, you will connect observations from the prototypes to wider system studies. Your work will help establish what the experiments tell us about a proposed design, how those findings relate to simulator models and where further evidence is needed. • Adapt and integrate RTL for FPGA prototyping or emulation, working with the design owners and documenting changes needed for the prototype., • Develop and maintain synthesis, implementation, timing-closure and reproducible build flows for the selected platform., • Bring up and debug designs, developing tests and instrumentation to check functional behaviour and support repeatable experiments., • Develop or integrate the control, stimulus and data-capture facilities needed for the agreed experiments, working with software colleagues on host interfaces and integration., • Relate observations from emulation to the model being evaluated, explaining how prototype frequency, interface overheads and other limitations affect interpretation., • Help assess platform, toolchain and hardware requirements, and document workflows that colleagues and partners can reuse. An example early project would be to take a partner's RTL design through FPGA implementation and bring-up, then instrument it to investigate a selected architectural choice and compare observations with a simulator model. • Hands-on experience taking RTL through an FPGA prototyping or emulation flow and debugging the resulting system., • Strong digital-design skills in Verilog, SystemVerilog, VHDL or an equivalent HDL, together with practical timing and verification judgement., • Experience with a relevant FPGA or emulation toolchain and the scripting needed to make builds and experiments repeatable., • The ability to collaborate across hardware and software boundaries and explain the conclusions and limitations of a prototype experiment., • Practical experience using AI coding agents, with the judgement to validate generated HDL, scripts and software., • Help build UK AI capability and improve how investment and compute serve the public good., • Build a network spanning UK hardware SMEs, major technology companies, venture and public investors, and leading universities., • Shape a growing team with startup pace and close academic links., • Use frontier models and coding agents with a substantial tooling budget., • A collaborative and supportive work environment, • The opportunity to have a high impact in a growing organisation, • Competitive salary package, including pension and benefits, • Professional development opportunities, • Networking opportunities with influential figures from across the tech sector and academia, • A vibrant office environment located a few minutes’ walk away from Cambridge train station Hybrid, with Cambridge attendance agreed individually around collaboration and the work; applicants across the UK are welcome. We are open to permanent employment, part-time arrangements and consultancy. We would like you to start as soon as practical and can be flexible for the right person. We particularly welcome experienced engineers and can also consider earlier‑career candidates with strong evidence of ability. Relevant postgraduate study is useful, but qualifications are secondary to experience and the quality of your work. CommonAI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace. #J-18808-Ljbffr

CommonAI CIC is a non-profit organisation built around collaborative engineering and is backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems. Our Scaling Inference Lab (SIL) is developing simulation grounded in real measurements to help the UK invest in promising AI infrastructure. We connect proposed hardware designs to realistic workloads, helping investors and engineers understand their potential, their limitations and the next experiment worth doing. Help evaluate proposed AI hardware before it is available as a finished chip. You will turn RTL designs into working FPGA prototypes and emulation experiments, giving SIL and its technology partners a practical way to explore design behaviour and architectural choices. The initial focus is on RTL prototyping and emulation. You will help choose a useful first design and platform, adapt and integrate the RTL, and establish repeatable build, bring-up and experimental workflows. Working with our partners and colleagues in software and simulation, you will connect observations from the prototypes to wider system studies. Your work will help establish what the experiments tell us about a proposed design, how those findings relate to simulator models and where further evidence is needed. • Adapt and integrate RTL for FPGA prototyping or emulation, working with the design owners and documenting changes needed for the prototype, • Develop and maintain synthesis, implementation, timing-closure and reproducible build flows for the selected platform, • Bring up and debug designs, developing tests and instrumentation to check functional behaviour and support repeatable experiments, • Develop or integrate the control, stimulus and data-capture facilities needed for the agreed experiments, working with software colleagues on host interfaces and integration, • Relate observations from emulation to the model being evaluated, explaining how prototype frequency, interface overheads and other limitations affect interpretation, • Help assess platform, toolchain and hardware requirements, and document workflows that colleagues and partners can reuse An example early project would be to take a partner's RTL design through FPGA implementation and bring-up, then instrument it to investigate a selected architectural choice and compare observations with a simulator model. • Hands-on experience taking RTL through an FPGA prototyping or emulation flow and debugging the resulting system, • Strong digital-design skills in Verilog, SystemVerilog, VHDL or an equivalent HDL, together with practical timing and verification judgement, • Experience with a relevant FPGA or emulation toolchain and the scripting needed to make builds and experiments repeatable, • The ability to collaborate across hardware and software boundaries and explain the conclusions and limitations of a prototype experiment, • Practical experience using AI coding agents, with the judgement to validate generated HDL, scripts and software Experience with processor or accelerator designs, multi-FPGA partitioning, host interfaces or performance characterisation would be useful. Depth with a relevant platform is sufficient; the team will choose the initial platform and design around the first useful study. • Help build UK AI capability and improve how investment and compute serve the public good, • Build a network spanning UK hardware SMEs, major technology companies, venture and public investors, and leading universities, • Shape a growing team with startup pace and close academic links, • Use frontier models and coding agents with a substantial tooling budget, • A collaborative and supportive work environment, • The opportunity to have a high impact in a growing organisation, • Competitive salary package, including pension and benefits, • Professional development opportunities, • Networking opportunities with influential figures from across the tech sector and academia, • A vibrant office environment located a few minutes' walk away from Cambridge train station Hybrid, with Cambridge attendance agreed individually around collaboration and the work; applicants across the UK are welcome. We are open to permanent employment, part-time arrangements and consultancy. We would like you to start as soon as practical and can be flexible for the right person. We particularly welcome experienced engineers and can also consider earlier-career candidates with strong evidence of ability. Relevant postgraduate study is useful, but qualifications are secondary to experience and the quality of your work. CommonAI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace. #J-18808-Ljbffr

About CommonAI CommonAI CIC is a non-profit organisation built around collaborative engineering and is backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems. Our Scaling Inference Lab (SIL) is developing simulation grounded in real measurements to help the UK invest in promising AI infrastructure. We connect proposed hardware designs to realistic workloads, helping investors and engineers understand their potential, their limitations and the next experiment worth doing. The Opportunity Help evaluate proposed AI hardware before it is available as a finished chip. You will turn RTL designs into working FPGA prototypes and emulation experiments, giving SIL and its technology partners a practical way to explore design behaviour and architectural choices. The initial focus is on RTL prototyping and emulation. You will help choose a useful first design and platform, adapt and integrate the RTL, and establish repeatable build, bring-up and experimental workflows. Working with our partners and colleagues in software and simulation, you will connect observations from the prototypes to wider system studies. Your work will help establish what the experiments tell us about a proposed design, how those findings relate to simulator models and where further evidence is needed. • Adapt and integrate RTL for FPGA prototyping or emulation, working with the design owners and documenting changes needed for the prototype., • Develop and maintain synthesis, implementation, timing-closure and reproducible build flows for the selected platform., • Bring up and debug designs, developing tests and instrumentation to check functional behaviour and support repeatable experiments., • Develop or integrate the control, stimulus and data-capture facilities needed for the agreed experiments, working with software colleagues on host interfaces and integration., • Relate observations from emulation to the model being evaluated, explaining how prototype frequency, interface overheads and other limitations affect interpretation., • Help assess platform, toolchain and hardware requirements, and document workflows that colleagues and partners can reuse., • An example early project would be to take a partner's RTL design through FPGA implementation and bring-up, then instrument it to investigate a selected architectural choice and compare observations with a simulator model., • Hands‑on experience taking RTL through an FPGA prototyping or emulation flow and debugging the resulting system., • Strong digital‑design skills in Verilog, SystemVerilog, VHDL or an equivalent HDL, together with practical timing and verification judgement., • Experience with a relevant FPGA or emulation toolchain and the scripting needed to make builds and experiments repeatable., • The ability to collaborate across hardware and software boundaries and explain the conclusions and limitations of a prototype experiment., • Practical experience using AI coding agents, with the judgement to validate generated HDL, scripts and software., • Experience with processor or accelerator designs, multi‑FPGA partitioning, host interfaces or performance characterisation would be useful., • Depth with a relevant platform is sufficient; the team will choose the initial platform and design around the first useful study., • Help build UK AI capability and improve how investment and compute serve the public good., • Build a network spanning UK hardware SMEs, major technology companies, venture and public investors, and leading universities., • Shape a growing team with startup pace and close academic links., • Use frontier models and coding agents with a substantial tooling budget. The opportunity to have a high impact in a growing organisation Competitive salary package, including pension and benefits Professional development opportunities Networking opportunities with influential figures from across the tech sector and academia A vibrant office environment located a few minutes' walk away from Cambridge train station Hybrid, with Cambridge attendance agreed individually around collaboration and the work; applicants across the UK are welcome. We are open to permanent employment, part‑time arrangements and consultancy. We would like you to start as soon as practical and can be flexible for the right person. We particularly welcome experienced engineers and can also consider earlier‑career candidates with strong evidence of ability. Relevant postgraduate study is useful, but qualifications are secondary to experience and the quality of your work. CommonAI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace. #J-18808-Ljbffr

The Senior Project Engineer shall be responsible for managing and executing fabrication projects from concept through completion. This role requires deep technical expertise in fabrication processes (including structural steel, piping, or modular assemblies). The Senior Project Engineer ensures that projects are delivered safely, on time, within budget, and to the required quality standards. • Maintain health & safety compliance and implement best practices., • Plan, coordinate, and oversee structural and piping fabrication projects from award to completion, ensuring all work is executed safely, on schedule, and within budget., • Develop project scopes, budgets, timelines, and resource plans., • Interpret drawings, specifications, and client requirements; prepare and monitor project budgets, material take-offs, and progress reports to support cost control and forecasting., • Act as the primary day-to-day point of contact for clients, providing updates, managing expectations, and maintaining strong working relationships throughout the project lifecycle., • Work closely with design, procurement, workshop, and site teams to align priorities, resolve technical issues promptly, and ensure seamless information flow across departments., • Champion safe working practices and quality standards, ensuring compliance with company procedures and client specifications, while identifying opportunities to improve efficiency and delivery performance., • Drive continuous improvement across operations and customer service., • Monitor KPIs, prepare internal and external reports, and ensure contractual obligations are met., • Manage change orders, contract claims, and project reporting in collaboration with commercial., • Responsible for the ownership and management of accurate project costs as they relate to the final estimate actual cost at completion, project programming, cost control, time control, quality control, purchasing, contact administration, general site administration and the activities of subcontractors., • Oversee project delivery to ensure deadlines, budgets, and quality standards are met., • Other responsibilities as directed by management, • 10+ years demonstrable experience in similar role for a fabrication business, • Project Management training - PMI or APM accredited desirable but not essential., • Understand the complete business cycle RFQ's, bidding, project management, executions of services, any claims., • Strong communication skills with senior level management, • Exceptional attention to detail, and talent for accuracy and precision. This job description should not be regarded as exclusive or exhaustive. There shall be a requirement to carry out other duties which the Company believes are within your capability. #J-18808-Ljbffr

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they’re at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. • Staying customer-centric,, • Inspiring dedication,, • Persevering,, • Growing by reflection. Huawei’s vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. We are looking for a Performance Engineer to make managed language runtimes run measurably faster on ARM64 mobile-class CPUs. You will work across the full runtime stack – interpreter, JIT and AOT compilers, garbage collector and runtime libraries – and you will follow every optimisation down to the generated machine code and the hardware counters that explain it. This is a hands‑on role for someone who finds the bottleneck, writes the patch and proves the speedup with rigorous measurement. You will sit inside the CPU team, so what you learn about how runtimes stress the pipeline, caches and branch predictors feeds directly into next‑generation core design, and you will work with LLM‑agent pipelines that automate parts of the analyse, patch, benchmark and validate loop. • Runtime profiling: find and rank performance bottlenecks in interpreter, JIT/AOT, GC and runtime‑library code on real application and benchmark workloads, using sampling profilers, PMU counters, top‑down analysis and flame graphs., • Execution engine optimisation: improve interpreter and compiler tiers end to end., • Interpreter dispatch (threaded code, tail calls), inline caches, hidden classes / shapes, and tier‑up and deoptimisation policy., • JIT and AOT code quality: instruction selection, register allocation, inlining heuristics, escape analysis, check elimination and code‑cache layout., • Startup time: snapshots, AOT images, lazy compilation and warm‑up behaviour., • Memory management: tune allocation and collection for throughput, pause time and footprint., • Allocation fast paths, write and read barriers, generational, concurrent and compacting collectors, and heap sizing policy., • Object layout and pointer compression, and memory behaviour of pointer‑chasing heaps., • Microarchitectural analysis: explain runtime behaviour in hardware terms – indirect‑branch misprediction in dispatch loops, I‑cache and iTLB pressure from JIT code, load‑to‑use latency and prefetch behaviour on object graphs – and turn the findings into concrete software changes and hardware feedback., • Measurement infrastructure: build benchmarking and regression‑tracking pipelines with noise control, statistically sound A/B comparison and reproducible results, so that every claimed gain is trustworthy., • Automated optimisation: build and use LLM‑agent pipelines that analyse profiles, propose patches, benchmark them and validate correctness, and decide where automation can be trusted and where it cannot., • Hardware–software co‑design: work with CPU architects to identify where runtime workloads leave performance on the table and which hardware or ISA features would help., • Upstream and share: land patches, write internal technical reports and, where appropriate, contribute to patents and publications. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. • Degree in Computer Science, Computer Engineering, Electrical Engineering or a related field, or equivalent practical experience., • Strong C and C++ (or Rust), with the ability to work productively in a large, performance‑critical codebase., • Hands‑on performance work in a language runtime, VM or compiler backend, with measured speedups you can walk us through in detail (for example V8, JavaScriptCore, SpiderMonkey, HotSpot, PyPy, LuaJIT, CPython, or an LLVM backend)., • Fluency with profiling tools (perf, PMU counters, flame graphs, or equivalents) and the ability to read disassembly and relate it to source., • Solid grasp of a modern ISA (ARM64 or x86‑64), calling conventions, memory model and the cost of branches and cache misses., • Measurement rigour: you design experiments, control for noise and report results with appropriate statistics. Please note that visa sponsorship is not available for this contractor role. • Working knowledge of CPU microarchitecture: out‑of‑order pipelines, branch prediction, caches, TLBs and prefetching., • ARM64 experience, particularly on mobile or embedded SoCs., • Contributions to an open‑source runtime, compiler or GC, or a track record of upstream performance patches., • Experience with LLM agents or ML‑assisted tooling for code optimisation, or an end‑to‑end self‑built system of that kind., • Familiarity with cycle‑accurate or architectural simulators such as gem5., • Publications or patents in runtimes, compilers or computer architecture. #J-18808-Ljbffr

CommonAI CIC is seeking engineers to adapt RTL for FPGA prototyping or emulation, building repeatable flows and tests. You will work with design owners, developers and partners to bring up prototypes and instrument experiments, ensuring functional behavior aligns with model expectations. You will collaborate across hardware and software, using HDL expertise and scripting to enable repeatable experiments, and help relate prototype observations to system models. #J-18808-Ljbffr

As part of the Camera and Photos organization, our team in Cambridge works on camera pipelines specifically for the company’s mobile devices, including the iPhone and iPad. You are expected to leverage your knowledge to work and influence the company's products, specifically as they relate to our

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu