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Job summary
A leading AI technology company is seeking a Senior Software Engineer to develop cutting-edge embedded software for their AI accelerator hardware. This role requires excellent skills in C/C++ and a deep understanding of computer architecture. Candidates should have over 3 years of experience in embedded systems and a degree in Computer Science or a related field. This position offers an opportunity to work in a collaborative environment, contributing to innovative software solutions in a fast-paced industry.
Qualifications
- Proven deeply embedded software experience.
- 3+ years of industry experience.
- Creative mindset and results-driven approach.
Responsibilities
- Develop highly-optimised embedded software for AI accelerator hardware.
- Contribute to system software and Linux kernel driver.
- Collaborate with hardware and ML engineers.
Skills
Education
Tools
At Fractile, we’re taking a revolutionary approach to computing to run the world’s largest language models 100x faster than existing systems Our fast-growing team is working at the cutting edge of the latest AI developments in both hardware and software. Want to get involved?
We are looking for Senior Software Engineers with excellent embedded development skills to work on the runtime software of our ground-breaking AI accelerators. You can be based in either our London or Bristol offices.
- Develop highly-optimised embedded software for Fractile’s innovative AI accelerator hardware
- Contribute to wider system software, and our Linux kernel driver
- Work with hardware, lower-level software, and ML engineers in a highly collaborative hardware-software co-design methodology
- Proven deeply embedded software experience
- A good understanding of computer architecture and performance optimisation techniques
- Excellent C/C++ skills and solid experience of industry standard development tools and technologies
- Experience of writing optimising assembly code, ideally for RISC-V
- An creative and innovative mindset, and a willingness to take ownership and drive results in a fast-paced environment
- Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience
- Experience of working with GPUs or other machine learning accelerators
- Experience developing with Rust
- Knowledge of contemporary machine learning techniques and technologies
- Previous experience in a startup or small team environment
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* 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.