2 of 2 Electronic Design Automation Jobs in Manchester

science lifecycle to develop, deploy, and maintain production-grade models, collaborating with stakeholders on decision-making, pricing, and monitoring solutions. Key Responsibilities Apply the data science lifecycle (design, EDA, building, evaluation, deployment, monitoring) to deliver scalable MVPs. Develop and optimize production-grade data science models using Python. Design solutions for business challenges using diverse datasets and advanced ML More ❯

position offers an excellent opportunity for an experienced and motivated verification engineer to join the growing System IP team. This fast-paced technical role involves employing the latest hardware design verification methodologies to develop complex, highly configurable hardware IP at the core of Arm-based systems. The role is for the Interconnect product team, which develops Arm Corelink Interconnect … verification testbenches for future hardware IP generations, improve existing testbenches for better performance and quality, and identify areas for methodological improvements to enhance verification practices. Review and assess proposed design changes from a verification complexity perspective. Own the verification environment from investigation to closure. Investigate and script new verification flows, optimizing existing ones. Analyze simulation data using machine learning … and ownership of complex verification environments. Proficiency in SystemVerilog and UVM. Strong software engineering skills, including object-oriented programming, data structures, and algorithms. Ability to develop verification flows, utilize EDA tools effectively, and plan and estimate work. Nice To Have Skills and Experience : Leadership and mentoring experience. Knowledge of multiprocessing microarchitecture, cache coherence, and bus protocols (e.g., AMBA5 CHI, AMBA4 More ❯