101 to 105 of 105 Senior Hardware Engineer Jobs in England

Senior Verification Engineer: Shape AI Hardware Validation

Location
Greater London, England, United Kingdom
pioneering AI innovator based in Bristol is looking for a Silicon Verification Engineer to actively contribute to building world-class ML/AI IC products. The role focuses on verification planning, executing tests, and collaborating with teams on high-quality RTL releases. Ideal candidates should have a software mindset … solve hardware problems, strong skills in SystemVerilog, and an eagerness to learn and improve practices within a fast-paced, collaborative environment. #J-18808-Ljbffr ...

Senior Backend Engineer for AI-Driven Hardware Platform

Location
Greater London, England, United Kingdom
Orbital is seeking a Backend Engineer to design and operate the core systems powering Curie, integrating AI models and building scalable APIs and data pipelines for our AI-first industrial platform. You will collaborate with ML researchers and hardware/domain experts, own features ...

Senior RTL Design Engineer — High-Performance AI Hardware

Location
Greater London, England, United Kingdom
leading technology firm in Greater London is seeking an experienced RTL Design Engineer to drive the design and implementation of high-performance digital systems. You will develop and optimize RTL designs, collaborate with various teams, and ensure standards compliance throughout the project lifecycle. Ideal candidates will possess strong analytical ...

Founding Embedded Systems Engineer - AI Hardware for Seniors

Location
Greater London, England, United Kingdom
building Ami, the first AI companion for seniors, a hands-free device with no screen and no IT support required. The team works across hardware, software, and frontier AI to create a human-centered interface that helps alleviate loneliness and connect older adults with ease. The role focuses ...

Sr. Staff Hardware Machine Learning/AI Engineer

Location
Greater London, England, United Kingdom
machine learning models for deployment onhardware accelerators and NPU-class architectures. Improve performance across memory, scheduling, sparsity, and data-movementconstraints in close collaboration with hardware and systems teams. Create methods to evaluate model fidelity and deployment quality across floating-pointand quantized paths, including accuracy, error, and performance tradeoffs. Work … identify thehighest-value workloads and accelerate customer-relevant enablement. Provide technical leadership and mentoring for engineers working on model deployment,compiler infrastructure, and hardware-aware ML. Help shape the long-term direction of Rivian’s edge AI stack, including support forincreasingly large and complex neural network models. Qualifications Deep ...