Software Engineering Intern

OLIX • Toronto, ON

1d • CA$60 - CA$60 • Onsite

About The Position

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.

We're searching for a Software Engineering Intern to join the Toronto team building the software stack (compiler, 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.

Contract Duration: 4-month term, extendable to 8-months.
Level: Intern / Co-op

Requirements

• 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.

Nice To Haves

• exposure to LLVM, OpenXLA/XLA, MLIR or TVM
• familiarity with how LLM inference runs in practice (KV cache, prefill and decode, batching, quantisation)
• experience with non-GPU hardware, including FPGA work, simulation, emulation or bring-up
• PyTorch or JAX internals beyond the user-facing API

Responsibilities

• Own and deliver scoped projects on your team’s roadmap, with a named mentor and a defined outcome by the end of your term.
• Contribute production code to our compiler, runtime, simulation or developer tooling, to the same standard as the rest of the team.
• Apply techniques such as layout, scheduling and tiling, or extend our simulation so that it models real system behaviour more faithfully.
• Work directly with compiler, systems, FPGA and ASIC engineers to understand device trade-offs and where your work fits.
• Ground conclusions in measurement rather than assumption, and report results clearly.

Benefits

• Competitive Salary: $60/hour CAD for the internship term.
• M4 Macs come as standard, with M4 Pro upgrades for our engineering team.
• We will provide whatever you need to do your best work.
• High-spec noise-cancelling headphones and a fully ergonomic workstation designed for deep focus.
• Caffeine on Us: We’ve got you covered with a tab at our favourite local coffee shop.

What This Job Offers

• Career Level: Intern