Tools Engineer

Job DescriptionPerformance Tools Engineer in Cambridge, UKAbout NeublaAs 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 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 experiences, working with talented colleagues. Neubla offers a competitive package with benefits, including health insurance, a pension scheme, employee wellness support, and a variety of snacks in the office!SummaryWant to 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 every month, and it became almost impossible to estimate performance analytically.In this highly visible role, you will collaborate closely with multi-site ML, HW and SW teams to investigate and develop tools to help evaluate new micro-architectural ideas and design trade-offs to shape the next generation NPUs by developing, verifying, and using performance models for data-driven architectural exploration and validation.Job DescriptionDevelop, test and verify reference compute library for proprietary NPU ISADevelop and maintain various tools required for functional /performance analysis and debuggingCollaborate with multi-site engineering teams to make data-driven decisions on many of their current engineering issuesCollaborate with hardware design engineers to understand ISA implementation in micro-architecture and implement reference instructions in software librarySupport hardware design engineers to solve potential functional issues in design verification flowsDevelop systems and performance analysis tools necessary for performance correlation and verification workflowsQualificationsMasters, PhD, or equivalent experience in Computer Engineering, Electrical Engineering, or related fieldStrong problem solving and analytical skillsStrong programming skills with good understanding of object oriented languages such as C++/PythonKnowledge of Machine Learning concepts and MLhardware accelerators4+ years’ experience in developing compute librariesKnowledge processor architectures like NPUs, CPUs, or GPUsExcellent collaboration skillsOutstanding written and verbal communicationsPreferred QualificationsProficiency in computer/SoC architecture and performance trade-offsKnowledge of Verilog and/or VHDL and experience with simulators and waveform debuggingFamiliarity with RISC-V architectures and instruction setsKnowledge of script languagesThe ProcessApplication review > 1st Interview > 2nd Interview (technical) > 3rd Interview