or Remote with occasional visits A unique opportunity has arisen for a Firmware Engineer to join an early-stage cyber security company building quantum & AI technologies to protect organisations of all sizes, preventing cyber-attacks. You will get to experience an exciting growth journey - you’ll be one of their more »
creating a 100% personalised and unique experience for millions of Roku users. Develop and implement advanced machine learning techniques, such as LLM and generative AI, to generate high-quality metadata and artwork for content on the platform. Collaborate with cross-functional teams to understand business requirements and develop scalable, efficient … learning fundamentals like regression, classification, tree-based approach, neural networks, and sequence-based models. Experience with advanced machine learning techniques, including LLM and generative AI for generating high-quality metadata and artwork. Proven familiarity with NLP approaches like Word2Vec or BERT, including identifying the right KPIs and objective functions. Experience more »
on real-world problems within a high successful SaaS tech company. As a Senior Python Developer you'll contribute to the core product, an AI and Machine Learning platform that is used within the automotive sector for a range of purposes e.g. engine calibration. You'll work across the full more »
startup who is at the forefront of tech innovation, collaborating with some of the world's top tech companies. They specialise in developing advanced AI algorithms to speed up the invention process for future products and services. This Senior Frontend Engineer position offers hybrid working (Cambridge), flexible hours for a … healthy work-life balance and will pay up to £90,000. As a Senior Frontend Engineer, you'll dive into the world of AI tools like GPT and Stable Diffusion. Collaborate closely with a team of Machine Learning Engineers and dedicated designers to bring these cutting-edge features to life more »
Cambridge, England, United Kingdom Hybrid / WFH Options
WeDo
Role: Lead QA Engineer (Automation) Salary: £70,000 - £80,000 basic Package: £103,200 Industry: Financial Services Working: Hybrid 2 days onsite CEO recommendation: 88% Wedo is an exclusive partner to a Global Financial Services organisation that advises three-quarters more »
performance in most data-intensive applications. Neubla is made up of people with expertise and lots of experience in many different fields such as AI, semiconductor design, and compilers. At Neubla, you can work in a rapidly changing environment where your new ideas will become innovative products, services, and customer … and a variety of snacks in the office! Summary We're looking for an exceptional individual with a passion to learn about ground-breaking AI architectures and who is eager to build highly optimised models for performance and functional simulation. Performance and functional simulation are critical tools for architecture exploration … and SW teams to investigate and evaluate new micro-architectural ideas and design trade-offs to shape the system features of the next generation AI accelerator by developing, verifying, and using performance models for data-driven architectural exploration and validation. Job Description Develop, test, and maintain accurate performance models for more »
performance in most data-intensive applications. Neubla is made up of people with expertise and lots of experience in many different fields such as AI, semiconductor design, and compilers. At Neubla, you can work in a rapidly changing environment where your new ideas will become innovative products, services, and customer … use your programming skills creatively to innovate NPU designs? We're looking for an exceptional individual with a passion to learn about ground-breaking AI architectures and who are eager to build highly optimised models for performance and functional simulation. Performance and functional simulation are critical tools for architecture exploration … and it has been used to make many important decisions of various micro-architectures like CPU. However, in AI accelerator domain, the performance model has often been taken lightly due to the regular computation patterns of neural network models. However neural network models are getting bigger and much more complex more »
level and supporting their delivery through a medical vision. - Experience working in a medical, Life Science/Pharma industry, based role. - Experience working in AI, including GenAI applications across MLR and content generation, Health Innovation, Product Development, Medical, NLP, IT and solution development. - Analytical mindset and data-oriented with the … to develop new approaches to tactical implementation for scaling digital initiatives. - At the cutting edge of knowledge on the application of big data, in AI, automation and personalisation in the healthcare landscape. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire more »
Cambridge based Start-up looking for CPU Verification Engineer . CPU Verification - ML/AI This is an exciting join an extremely well-funded machine learning start-up based in Cambridge as a CPU Verification Engineer. Having opened doors to new offices in North Cambridge last year, my client is … creating brand-new AI acceleration hardware and software for edge devices. To continue their ongoing expansion, they now seek a Senior CPU Verification Engineer who can drive the pre-silicon Verification of CPU and VPU designs. The Senior CPU Verification Engineer will have the opportunity to work closely with designers more »
performance in most data-intensive applications. Neubla is made up of people with expertise and lots of experience in many different fields such as AI, semiconductor design, and compilers. At Neubla, you can work in a rapidly changing environment where your new ideas will become innovative products, services, and customer … of computing possible? We're looking for an exceptional individual who can drive the pre-silicon verification of CPU and VPU designs in Neubla AI accelerator.In this highly visible role, you will collaborate closely with multi-site HW and architecture teams to visualise, innovate and enable the future of computing … features Proficiency in computer/SoC architecture and performance trade-offs Strong understanding of power management, physical design concepts Knowledge of ML concepts and AI hardware accelerators The Process Application review > 1st Interview > 2nd Interview (technical) > 3rd Interview more »
Software & Hardware Co-design Research Engineer - AI Processors I am partnered with a global tech giant at their research center in Cambridge, who are looking for someone with an academic background to bring onto their high caliber team. Responsibilities: Lead a specific sub-technical direction within the AI Processor Software … establish industry-leading technical prowess. Spearhead technology and business innovations, integrating various application algorithms, frameworks, runtimes, modeling, simulation, and compilers within processor domains. Anticipate AI industry trends, develop key technical architectures, and address critical usability and performance challenges across the AI stack. Qualifications Required: Extensive experience in optimizing AI chip … software and hardware architectures. Practical expertise in at least one of: Numerical Calculation, Compilation, Algorithm & chip co-design, Runtime, Shared Memory. Deep understanding of AI industry application scenarios and mainstream models. Ability to discern key bottlenecks and drive software architecture evolution accordingly. By applying to this role you understand that more »
Director of Machine Learning IC Resources is delighted to be partnering with an AI-chip manufacturer in their search for a new Director of ML (Machine Learning). Technical expertise and knowledge around developing novel model architectures and training methods for deep-learning hardware accelerators and applications is required to … latest thing in ML. Do you understand the inner workings of a neural network, as well having the know-how to implement on an AI accelerator? Have you spent at least 2 years building your leadership skills in a lead/head of/director level position? If yes to … developments in ML 5+ years industry and/or extensive post-doc academic research - either must be in the field of ML applied to AI hardware 2+ years of leadership experience What’s on offer? Top end salaries for the European market Hybrid across multiple offices, or fully remote is more »
Cambridge based Start-up looking for CPU Verification Engineer. CPU Verification – ML/AI This is an exciting join an extremely well-funded machine learning start-up based in Cambridge as a CPU Verification Engineer. Having opened doors to new offices in North Cambridge last year, my client is creating … brand-new AI acceleration hardware and software for edge devices . To continue their ongoing expansion, they now seek a Senior CPU Verification Engineer who can drive the pre-silicon Verification of CPU and VPU designs. The Senior CPU Verification Engineer will have the opportunity to work closely with designers more »
Compute Library Engineer - Kernel/CUDA/OpenCL/GPU/NPU I am partnered with an incredibly exciting start up who work on AI Accelerators and RISC V technologies, who are looking to bring on a Compute Library Engineer to develop high-performance kernels for machine learning operators on … on NPU architectures Kernel Optimization Integration of kernels into the NPU framework Utilization of hardware features of GPU and accelerators which are specialized for AI applications A bit about you: 5+ years of experience in kernel development for GPUs or NPUs Good experience with parallel programming languages such as CUDA more »
Cambridge, England, United Kingdom Hybrid / WFH Options
IC Resources
+ bonus & hybrid working! I'm currently working with a Cambridge-based, multinational Semiconductor scale-up who are focused on developing AI accelerators. You will have the opportunity to work in a rapidly changing environment where your new ideas will become innovative products, services, and customer experiences. They are a … have had some experience in the mentorship of more junior engineers and you will be utilising hardware features of GPU and accelerators specialised for Ai applications. You will also collaborate with the hardware and software teams to integrate kernels into the NPU framework. What's required for a successful CUDA more »
+ bonus & hybrid working! I'm currently working with a Cambridge-based, multinational Semiconductor scale-up who are focused on developing AI accelerators. You will have the opportunity to work in a rapidly changing environment where your new ideas will become innovative products, services, and customer experiences. They are a … mentorship of more junior engineers or leading teams within this space and you will be utilising hardware features of GPU and accelerators specialised for Ai applications. You will also collaborate with the hardware and software teams to integrate kernels into the NPU framework. What's required for a successful Senior more »
Required Skills & Experience needed: Prior working experience with compiler technologies may that be with LLVM or GCC, or if you have experience working on AI/ML related compilation infrastructure such as MLIR this could also be of interest. Knowledge of at least one Graphics API (DirectX, OpenGL, Vulkan). … Linux/C/C++/Hardware/debuggers/Graphics/GPU/Low Level/Direct X/OpenGL/Vulkan/AI/By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more more »
+ bonus & hybrid working! I'm currently working with a Cambridge-based, multinational Semiconductor scale-up who is focused on developing AI accelerators. You will have the opportunity to work in a rapidly changing environment where your new ideas will become innovative products, services, and customer experiences. They are a … have had some experience in the mentorship of more junior engineers and you will be utilising hardware features of GPU and accelerators specialised for Ai applications. You will also collaborate with the hardware and software teams to integrate kernels into the NPU framework. What's required for a successful Compute more »
