LLMInference Performance&EvalsEngineer

Cerebras Systems; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading AI technology company in Toronto is seeking an experienced software engineer to join their inference model team. This role involves prototyping AI architectural tweaks, developing benchmarking automation, and collaborating closely with silicon teams. Candidates should have over 3 years of experience in high-performance software and a solid understanding of AI tools. Join the forefront of groundbreaking advancements in AI and enjoy a non-corporate culture with job stability.

Benefits

Job stability

Non-corporate work culture

Innovative AI platform development

Qualifications

• 3+ years of experience in high-performance ML or systems software.
• Familiarity with full AI toolchain: Python, compilers, performance profiling.
• Must be able to debug across performance and numerical accuracy.

Responsibilities

• Prototype and benchmark cutting-edge AI ideas.
• Develop automation for experiment design and regression triage.
• Collaborate with compiler and silicon teams on innovations.

Skills

High-performance ML or systems software

Transformer math-attention scaling

Python modeling code

Strong debugging skills

Experience with AI agents

Tools

C/C++ programming

LLVM

MLIR

Job description

About The Role

Join the inference model team dedicated to bring up the state-of-the-art models, numerically validating and accelerating new model ideas on wafer-scale hardware. You will prototype architectural tweaks, build performance-eval pipelines, and turn hard numbers into changes that land in production.

Key Responsibilities

• Prototype and benchmark cutting-edge ideas: new attentions, MoE, speculative decoding, and many more innovations as they emerge.
• Develop agent-driven automation that designs experiments, schedules runs, triages regressions, and drafts pull-requests.
• Work closely with compiler, runtime, and silicon teams: unique opportunity to experience the full stack of software / hardware innovation.
• Keep pace with the latest open- and closed-source models; run them first on wafer scale to expose new optimization opportunities.

Skills And Qualifications

• 3 + years building high-performance ML or systems software.
• Solid grounding in Transformer math-attention scaling, KV-cache, quantisation, or clear evidence you learn this material rapidly.
• Comfort navigating the full AI toolchain: Python modeling code, compiler IRs, performance profiling, etc.
• Strong debugging skills across performance, numerical accuracy, and runtime integration.
• Prior experience in modeling, compilers or crafting benchmarks or performance studies; not just black-box QA tests.
• Strong passion to leverage AI agents or workflow orchestration tools to boost personal productivity.

Assets

• Hands-on with flash-attention, Triton kernels, linear-attention, or sparsity research.
• Performance-tuning experience on custom silicon, GPUs, or FPGAs.
• Proficiency in C / C++ programming and experience with low-level optimization.
• Proven experience in compiler development, particularly with LLVM and / or MLIR.
• Publications, repos, or blog posts dissecting model speed-ups.
• Contributions to open-source agent frameworks.

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we\'ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras :

• Build a breakthrough AI platform beyond the constraints of the GPU.
• Publish and open source their cutting-edge AI research.
• Work on one of the fastest AI supercomputers in the world.
• Enjoy job stability with startup vitality.
• Our simple, non-corporate work culture that respects individual beliefs.

Read our blog: Five Reasons to Join Cerebras in 2025.

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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