CareerPlanGet AI match score →

Full Stack LLM Engineer

Toronto Office💼 Full-time🗓 2025-07-18 → 2026-07-31

Core

Bringing up state-of-the-art open-source and proprietary ML models onto Cerebras CSX systems to achieve high performance, efficiency, and scalability.

Role type

Senior IC Full Stack LLM Engineer (Inference Bringup)

Builds

Production ML inference workloads on custom AI hardware

Domain

AI Hardware / Compiler Optimization / Deep Learning

Deliverable

production ML models

Required skills

C/C++ programming, compiler development (LLVM/MLIR), deep learning frameworks (PyTorch/TensorFlow), model internals (attention/MoE/diffusion), low-level optimization, performance profiling, debugging complex runtime issues

Preferred skills

Experience with NP-hard optimization problems, system-minded generalist approach

Technologies

Cerebras CSX, Python, LLVM, MLIR, PyTorch, TensorFlow

Responsibilities

Contribute to end-to-end bring up of ML models on Cerebras CSX systems; Work across the stack including model architecture translation, graph lowering, compiler optimizations, runtime integration, and performance tuning; Debug performance and correctness issues spanning model code, compiler IRs, runtime behavior, and hardware utilization; Propose and prototype improvements across tools, APIs, or automation flows to accelerate future bring ups

Seniority

Senior, hands-on IC

Sourced via ashby · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Ashby ↗