Senior Software Engineer

Fractile; Greater London; On-site; GBP 65,000 - 85,000; Full time

Job summary

A leading AI technology firm in the UK seeks a Senior Software Engineer to develop embedded software for their innovative AI accelerator hardware. The role demands deep embedded software expertise, excellent C/C++ skills, and a degree in a relevant field with at least 3 years of experience. Responsibilities include system software contributions and collaboration with hardware and ML engineers. The position is based in either London or Bristol, and offers a dynamic, fast-paced work environment.

Qualifications

• Develop highly-optimised embedded software for innovative AI accelerators.
• Experience developing with Rust is a plus.
• Familiarity with contemporary machine learning techniques.

Responsibilities

• Contribute to wider system software and Linux kernel driver.
• Work in a collaborative hardware-software co-design methodology.

Skills

Excellent C/C++ skills

Proven deeply embedded software experience

Good understanding of computer architecture

Optimising assembly code experience (RISC-V)

Creative mindset

3+ years of industry experience

Education

Degree in Computer Science, Electronic Engineering, Maths, Physics or related

Tools

Industry standard development tools

Job description

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.

In this role, you will:

• 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

It would be great if you have:

• 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

You may also have:

• 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