11 jobs found in cambridge

Job ID 2024-10461 Date posted Dec. 13, 2024 Location Cambridge, United Kingdom Category Software Engineering Arm's Machine Learning (ML) Group is seeking a highly motivated and creative Software Engineer to join a team of brilliant engineers located in Cambridge, UK who specialise in ML software. This role presents an opportunity to chip in to advance ML technology. You will help to build the software that enables development of deep learning applications that form the basis of many ground-breaking technologies like self-driving cars, generative AI engines and ML-powered wearables. Job Description: Arm Machine Learning (ML) group is looking for a software engineer who would build a range of innovative software solutions for a variety of markets. You will apply your experience and insight within this domain to craft and optimise tools for machine learning networks that target Arm’s CPUs, GPUs and NPUs. If you are interested in this opportunity, make sure...

Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at altoslabs.com. Our Value Our Single Altos Value:   Everyone Owns Achieving Our Inspiring Mission . Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos The Altos Labs is building high-performance, scalable, quantitative solutions for biomedical image analysis and integration with multi-Omics data. The team work at multiple scales including data...

  Arm's Machine Learning Group is seeking highly motivated and creative Software Engineers to join the Cambridge-based ML Content, Algorithms and Tools team! This Machine Learning Engineer role focuses on advancing the field of AI by optimizing and deploying pioneering models, particularly Large Language Models (LLMs) and Generative AI algorithms. This involves deep analysis of neural networks, optimizing software and hardware, developing innovative solutions, and collaborating with teams to build high-performance AI systems. Responsibilities : Your responsibilities involve working with major ML frameworks (PyTorch, TensorFlow, etc.) to port and develop ML networks, optimize and quantize models for efficient execution on Arm platforms, and help ensure multiple Arm products are designed to perform effectively for machine learning. As an in-depth technical responsibility, you will need to deeply understand the complex applications you analyze and communicate...

As part of the Global Storage team, you will work closely supporting our stakeholders across the business to enable and implement services, infrastructure, and high-performance compute On-prem and Cloud to the engineering community within Arm. To operationally support and improve the services and tools needed for product development in Arm. Responsibilities: Working closely with IT teams, Project Managers, Scrum Masters and the wider Arm business to deliver projects. Operate the Storage Infrastructure by working across geographies and with the wider Service Operations teams to resolve Incidents and fulfil requests within agreed SLAs. Operate the Storage Infrastructure services via Change Management process. Develop and build scalable and efficient large infrastructure through automation and IaC as per approved designs. Build and maintain highly available production systems. Develop, test, review code and maintain internal storage applications. Build and...

  Solutions Engineering is seeking an experienced Software Applications Developer & Automation Engineer. From concept to deployment, you will be driving the architecture, implementing the design and optimizing the interfaces as you develop new and novel applications, tools, scripting and infrastructure. You will be automating complex hardware and software workflows and infrastructure to support CI/CD, reporting and generating important data insights, including tracking of key metrics and product maturity indicators. Using your creativity, technical competence and innovative ideas, you will be working and communicate to a diverse range of team members across the business, with a focus and program management and operations. You will be creating a diverse range of applications that work with both industry standard and in-house tools and infrastructure. Responsibilities Definition & development of software applications, tools, scripting and infrastructure...

As a staff engineer at Arm, not only will you play a part in developing the technology of tomorrow, but you will also have the opportunity to directly help and support hundreds of thousands of engineers worldwide using our platforms to develop their solutions or applications. If you are craving for that exciting and challenging role – Arm is the place for you! Job Description: TheDevelopmentPlatforms Group is delivering on Arm’s ambition to be ubiquitous across all compute (Cloud, AI, Mobile, IoT, Automotive) and as accessible as possible. It also strives to reduce the cost, complexity and time needed by our partners, customers and users to adopt or build on our latest designs and pieces of technology. Responsibilities: You will be joining a growing team which develops and operates websites, cloud applications and online services to make this possible. In creating and maintaining systems, you will be involved in: Building user...

Our GPU & AI hardware teams need an industry-leading automated tool stack to produce our upcoming IP roadmap – so the ‘Hardware Tools & Flows’ team has been created to ensure that we have a hyper-fast, resilient build system that optimizes tool use, scales with our needs, and continually maximises simulation workloads on our distributed compute grid. As a founding member of our team, you are joining us at a start of a revolution – with your technical expertise, innovation mindset, and ‘get stuff done’ attitude, you’ll help us shape our team culture, and define our tools, design principles and standards. Our team has no bureaucracy – we don’t have unnecessary meetings, committees, or ceremonies. We have big, complex problems to solve, and we are building a team of pioneering, self-organising people who love to collaborate and get things done You will: Help create and maintain a lightning-fast, resilient,...

Our GPU & AI hardware teams need an industry-leading automated tool stack to produce our upcoming IP roadmap – so the ‘Hardware Tools & Flows’ team has been created to ensure that we have a hyper-fast, resilient build system that optimizes tool use, scales with our needs, and continually maximises simulation workloads on our distributed compute grid. As a founding member of our team, you are joining us at a start of a revolution – with your technical expertise, innovation mindset, and ‘get stuff done’ attitude, you’ll help us shape our team culture, and define our tools, design principles and standards. Our team has no bureaucracy – we don’t have unnecessary meetings, committees, or ceremonies. We have big, complex problems to solve, and we are building a team of pioneering, self-organising people who love to collaborate and get things done You will: Help create and maintain a lightning-fast, resilient,...

In this role, you will have the opportunity to: Lead data governance for AI at Abcam. Work across Life Science Operating Companies at Danaher and facilitate data governance to scale Commercial AI across Danaher. Design, implement and oversee practical data governance frameworks leveraging the latest technologies to support organizational needs, identify opportunities and make recommendations to improve data quality and trustworthiness and scale AI. Establish and implement standards and policies while engaging teams to pro-actively participate and drive common goals, enhancing data lifecycles processes and ensuring compliance with relevant laws and regulations. Lead data stewardship initiatives and promote a culture of data accountability and responsibility. Foster the utilization of a centralized data catalogue and business glossary. Provide expertise and support in the implementation of Customer Data Platforms (CDP), Master Data Management (MDM), Data Bases, and...

Fixed-term: The funds for this post are available until 31 January 2028 in the first instance. In the face of the present climate crisis, there is pressing need for skilled software engineers to aid climate scientists in delivering a new generation of high-quality, high-performance, and high-assurance models. This is the broad aim of these RSE posts at the new Institute of Computing for Climate Science (ICCS) at the University of Cambridge. Who you will be working with ICCS hosts a team of Research Software Engineers who are working directly with four international Schmidt Futures' Virtual Earth Systems Research Institutes (VESRI) to directly address specific computation and research software needs of climate scientists. The team of RSEs will also interact closely with researchers based at ICCS. Thus, this provides a unique opportunity to be involved in research projects directly connected to climate science but also broader research into supporting climate science...

The Stephen Hawking Centre seeks to recruit a Research Software Engineering (RSE) Project Manager. The role holder will offer oversight and coordination of RSE efforts within the Stephen Hawking Centre and other Faculty of Mathematics research groups, assistance with design and enhancement of a Faculty Computing Development Platform, and the training and support of PhD students, especially those associated with the Centre for Doctoral Training (CDT) for Data Intensive Science. You will provide senior-level expertise to oversee the employment and coordination of RSEs based within the Stephen Hawking Centre and participating research groups. The role facilitates RSE teamwork in the areas of testing, profiling and optimising parallel code in preparation for production runs on external High Performance Computing (HPC) facilities, notably improving parallel scaling. The role advises Faculty members on grant applications for RSE support and hardware procurement and offers support...