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Senior Simulation Engineer London
Job summary
A cutting-edge AI company in Greater London is seeking a Senior Simulation Engineer to develop functional simulators for their revolutionary AI hardware. Responsibilities include building a QEMU simulator, contributing to device drivers, and collaborating with engineers in a dynamic environment. Ideal candidates will have excellent C/C++ skills and experience in hardware simulation, coupled with a relevant degree and several years of industry experience. This role is perfect for innovators ready to make an impact.
Qualifications
- 3+ years of industry experience developing hardware simulators.
- Experience contributing to system device drivers and runtime libraries.
- Ability to work collaboratively in a hardware-software co-design environment.
Responsibilities
- Develop a QEMU-based functional simulator of innovative AI acceleration hardware.
- Contribute to system device drivers and runtime libraries using the simulator.
- Collaborate with hardware, software, 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 a Senior Simulation Engineer with experience of building software simulations of new hardware to develop models of our ground-breaking AI accelerators.
Develop a QEMU-based functional simulator of Fractile’s innovative AI acceleration hardware
- Contribute to system device drivers and runtime libraries that use the simulator
- Work with hardware, software, and ML engineers in a highly collaborative hardware-software co-design methodology.
- Proven experience of developing hardware simulators such as QEMU
- Excellent C/C++ skills and solid experience of industry standard development tools and technologies
- A good understanding of low-level hardware
- 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 3+ years of industry experience
- Experience of working with GPUs or other machine learning accelerators
- 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.