CGI
Insights you can act on Founded in 1976, CGI is among the largest IT and business consulting services firms in the world$1. .$1
Business consulting • Systems integration • Intellectual property • Managed IT • Business process services
10,000+
ML Performance Engineer
April 5
🏢 In-office - London
CGI
Insights you can act on Founded in 1976, CGI is among the largest IT and business consulting services firms in the world$1. .$1
Business consulting • Systems integration • Intellectual property • Managed IT • Business process services
10,000+
Description
• XTX is seeking an experienced engineer to support our Research Technology function. You will be working in a small and highly technical team at an extremely low-level to dramatically increase the performance of XTX’s machine learning training and inference. Your main focus will be on accelerating computation and networking; however, the remit is wide, and you should expect to be challenged. • We are not just writing CUDA code. You will be expected to push hardware beyond what the manufacturer thinks is achievable. Manufacturers will tell you things are impossible or just plain absurd and you will achieve it anyway. • Amongst other things, you will be working on a sophisticated optimising compiler to create optimal execution plans mapping complex computational graphs to a variety of accelerated computing platforms taking both high-level (for example the consequences of complex memory hierarchies) and low-level (for example microarchitectural restrictions on dispatch rates for different operation shapes) into account. This means both applying optimisations to our SSA intermediate representation as well as improving backend code generation. You will also be expected to hand-optimise real-world use cases to identify ways in which the compiler’s code generation may be improved.
Requirements
• Comfort writing Linux kernel modules or other experience in OS development. • An understanding of, and some experience targeting, commodity GPUs or other similar hardware. • Experience programming in C++. • Some experience working with SSA-based IRs. • A background in reversing or cracking of hardware and/or software. • Familiarity with Nvidia’s undocumented SASS machine code. • A detailed understanding of PCI Express. • Experience writing drivers to interface to hardware (e.g., network cards or NVMe devices). • Practical (non-academic) experience with FPGA design.
Benefits
• Onsite gym, sauna, and fitness classes at no charge • Extensive medical benefits including an on-site doctor and therapist at no charge • Breakfast and lunch provided daily • Various supports for caregivers, including emergency dependent care • Beautiful Kings Cross office: https://vimeo.com/257888726 • 25 days paid holiday per year + statutory holiday and paid sick days • Generous Pension contributions
Apply Now