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IC Resources
Cambridge, England, United Kingdom
ML System Performance Engineer I am seeking an experienced ML System Performance Engineer who has a track record of using ML models to carry out performance analysis on NPUs, CPUs or GPUs and to be based in Cambridge working on a hybrid basis. Must have a track record of utilising ML models to investigate simulators for system performance analysis.
Job Source: IC ResourcesIC Resources
cambridgeshire, england, United Kingdom
ML Systems Performance Analysis - AI Accelerator I am seeking someone experienced in Systems Performance Analysis, specifically using performance simulators to develop benchmarks and to analyse and identify bottlenecks in NPUs / AI Accelerators. Must be able to work closely with HW and SW teams to provide optimisation recommendations by understandi
Job Source: IC ResourcesNeubla
Cambridge, England, United Kingdom
NPU System Performance Modelling Engineer in Cambridge, UK About Neubla As pioneers of innovative neural computing, Neubla is transforming the future of computing by bringing the enormous potential of neural computing to the highest performance in most data-intensive applications. Neubla is made up of people with expertise and lots of experience i
Job Source: NeublaIC Resources
Cambridge, England, United Kingdom
NPU Systems Performance Analysis Engineer I am seeking someone experienced in Systems Performance Analysis, specifically using performance simulators to develop benchmarks and to analyse and identify bottlenecks in NPUs / AI Accelerators. Must be able to work closely with HW and SW teams to provide optimisation recommendations by understanding perf
Job Source: IC ResourcesLa Fosse
Cambridge, England, United Kingdom
La Fosse is looking for an ML Software Engineer to join one of our algorithms teams as part of the Advanced Sensor group. They are shaping the world of tomorrow, Today. Focusing beyond the horizon and pushing exciting developments in many key areas of technology. Creating a new era of continuous innovation, bringing value and contribution to socie
Job Source: La FosseDiverseJobsMatter
Cambridge, England, United Kingdom
JOB DESCRIPTION We are looking for a software engineer with a strong analytical approach to join the team and help ensure the best performance and quality with most recent ML software and IP. The successful engineer will be highly flexible, quick to learn and be motivated by the opportunity to understand and improve the performance of future Mach
Job Source: DiverseJobsMatterEuropean Recruitment
Cambridge, England, United Kingdom
Senior 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 NPU architectures. They are an extremely high ca
Job Source: European RecruitmentEuropean Recruitment
Cambridge, England, United Kingdom
Senior Compute Library Engineer - Parallel Programming / Microarchitecture / C++ We are currently partnered with a cutting-edge semiconductor startup in the UK working on next-generation CPU/Risc-V technologies. The team is looking to expand its headcount with a Senior Compute Library Engineer to actively contribute to the advancement in capabilit
Job Source: European RecruitmentCambridge, England, United Kingdom
ML System Performance Engineer
I am seeking an experienced ML System Performance Engineer who has a track record of using ML models to carry out performance analysis on NPUs, CPUs or GPUs and to be based in Cambridge working on a hybrid basis. Must have a track record of utilising ML models to investigate simulators for system performance analysis. E.g., bottlenecks, latency, workload analysis, changes and debugging.
Primary Responsibilities
Working closely with the modelling and performance team to apply ML models to investigate simulations and carry out performance analysis on NPUs (Neural Processing Unit).
Required Experience
Masters or PhD in Computer Science, Electronic Engineering or similar.
At least 4 years of industry experience working with ML models for system performance analysis.
Strong background with CNN and Transformer Architecture.
Experience with ML frameworks like Pytorch/Tensorflow and programming languages C++ and Python.
Desired Experience
Industry experience at leading NPU, CPU, GPU, semiconductor manufacturer.
Knowledge of system modelling/simulation technology, such as SystemC, Gem5, Simics, QEMU etc.
What’s on offer
£80k-120k DOE
Hybrid working (1-2 day’s onsite minimum, preference for more on-site if local)
Annual Bonus
25 days holiday
And more!
Interested? This is a great opportunity for a ML System Performance Engineer. Please apply now for immediate consideration and speak with Chris Wyatt at IC Resources who is recruiting for this position in Cambridge, UK.
ML System Performance Engineer jobs in Cambridge, England, United Kingdom
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