Software Engineering Intern

About OLIX

AI is growing faster than any technology in history and the explosion in demand has created a massive infrastructure gap; we can no longer build chips or power stations fast enough to keep up. The industry is still leaning on a ten-year-old hardware blueprint that has reached its limit. A new paradigm that is faster and more efficient will be the biggest economic opportunity of the next century and create the most important company of the next decade. The OLIX Decode Accelerator 1 (DX-1) is the first accelerator architected specifically for decode. Rack-scale co-design of logic, data movement, packaging, optics and interconnect enables a step change in system level performance.

The Role

We’re searching for a Software Engineering Intern to join the London team in Summer 2027 building the software stack (compiler, firmware, runtime, simulation and tooling) for our next-generation Accelerator. DX-1 is a dataflow architecture built specifically for decode, deployed in a disaggregated inference environment.

Responsibilities

• Project Ownership: Own and deliver scoped projects on your team’s roadmap, with a named mentor and a defined outcome by the end of your term.

• Build and Ship: Contribute production code to our compiler, runtime, simulation or developer tooling, to the same standard as the rest of the team.

• Optimize Performance: Apply techniques such as layout, scheduling and tiling, or extend our simulation so that it models real system behaviour more faithfully.

• Partner Across Teams: Work directly with compiler, systems, FPGA and ASIC engineers to understand device trade-offs and where your work fits.

• Measure and Communicate: Ground conclusions in measurement rather than assumption, and report results clearly.

Skills & Experience

• Working toward a Bachelor’s or Master’s degree in computer science, computer engineering, electrical engineering, mathematics, or a related field, with an available co-op or internship term.

• Practical experience with C/C++ programming beyond coursework.

• Solid systems fundamentals, including memory hierarchies, concurrency, and performance analysis.

• Demonstrated depth in either compilers or systems software.

• Familiarity with ML framework internals, low-level programming, or optimisation techniques.

• Strong problem-solving skills and the ability to think critically and creatively.

• Excellent teamwork and communication skills, with the ability to collaborate effectively with cross-functional teams.