2 of 2 Remote/Hybrid Performance Analysis Jobs in Manchester

. The work sits at the intersection of Machine Learning, software and hardware. Projects span ML frameworks and compilers, runtimes, drivers, embedded software and performance optimisation, creating opportunities to work on complex engineering challenges across the ML software stack. We’re hiring across several levels of seniority, with scope … optimises C++ and Python software for Machine Learning workloads , working closely with ML software and hardware engineers to understand how models execute and where performance and efficiency can be improved. The work could include ML compilation, PyTorch integration, runtimes and drivers, performance analysis or embedded software . ...

from early planning through sign-off. Contribute to the overall DPU verification architecture, planning, integration strategy and quality criteria. Architect reusable, scalable and high-performance SystemVerilog/UVM environments and verification IP. Define verification plans, coverage models, sign-off criteria and measurable quality goals for the owned verification scope. … schedule risks early, establish mitigation plans and drive them to resolution across teams. Review proposed architecture and design changes for correctness, observability, testability, performance and verification complexity. Lead the resolution of complex unit-level, cross-unit, integration or system-level failures. Align verification activities and dependencies across the relevant ...