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Job summary
A UK-based AI start-up is seeking a Software Engineer to design and develop software systems for machine learning inference workloads. You will work across the stack to program AI accelerators and develop compilers. Candidates should have a PhD or MSc and experience with Rust and low-level programming languages. This position offers a hybrid work model, requiring 3 days on site and 2 remote.
Qualifications
- PhD or MSc in a relevant field.
- Experience with Rust in production or open source.
- 3 years in performance-sensitive or systems programming.
Responsibilities
- Programming hardware accelerators with compilers and DSLs.
- Creating tools for debugging and profiling.
- Developing applications and runtime libraries for server CPUs.
Skills
Education
Job Title: Software Engineer
Job Type: Permanent
Location: Cambridge, UK
Hybrid Working Required – 3 Days On, 2 days Remote
Our client are a UK based AI start-up.
Designing and developing the software systems that enable us to run machine learning (ML) inference workloads at state of the art latencies and efficiency on FPGA-based hardware accelerators. Working throughout the stack to define the ways we program AI accelerators, from co-designing the instruction sets together with the hardware engineering team, to developing the compilers and application APIs to interface the accelerator with ML models and frameworks.
- Programming our bespoke hardware accelerators by writing compilers and DSLs
- Creating tools for debugging, profiling, and optimising programs for our accelerators
- Developing efficient applications and runtime libraries for server CPUs that utilise our accelerators
- PhD or MSc in related field
- Used Rust in production or open source codebases
- Experience with low-level programming languages in general (e.g. Rust, C, C++) or functional programming languages (e.g. Haskell, OCaml, Nix)
- 3 years of experience working on relevant areas such as performance sensitive- or systems programming, and compiler development
Please get in touch with daniel@microtech-global.com to hear more about this incredible position
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.