Senior Modelling Engineer
UK Visa Sponsorship Analytics
Analytics are greyed out due to low classification confidence (40.0%).
Occupation TypeMetal working production and maintenance fitters
Occupation Code Skill LevelMedium Skilled
Sponsorship Salary Threshold
£41,700
(£21.38 per hour)
Standard minimum applies
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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 Modelling Engineers with demonstrated experience in semiconductor IP modelling to develop software models of our ground-breaking AI accelerators. You can be based in either our Bristol office or our London office, thats your choice.
In This Role, You Will
We are looking for Senior Modelling Engineers with demonstrated experience in semiconductor IP modelling to develop software models of our ground-breaking AI accelerators. You can be based in either our Bristol office or our London office, thats your choice.
In This Role, You Will
- Develop pre-silicon models of Fractile’s innovative AI acceleration hardware, informing architecture definition, performance evaluation, and product design and verification
- Enable early software development using models of products in development
- Work with hardware, software, and ML engineers in a highly collaborative hardware-software co-design methodology
- Proven experience of pre-silicon modelling of semiconductor IP covering one or more of architectural, performance, verification and functional modelling
- Good knowledge of modelling and simulation technologies including SystemC
- Excellent C/C++ and Python skills and solid experience of industry standard development tools and technologies
- A good understanding of computer architecture and hardware design
- A 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 5+ years of industry experience
- Knowledge of machine learning techniques and technologies
- Previous experience in a startup or small team environment