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Posted 16 months ago

Full Stack LLM Engineer

@ Cerebras Systems

Toronto, Ontario

HybridFull-time
Apply now
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Overview

Cerebras Systems is hiring a Full Stack LLM Engineer for its Inference Core Model Bringup team to bring state-of-the-art open-source and customer models up on Cerebras CSX systems. The work spans model architecture translation, compiler optimization, runtime integration and performance tuning.

Responsibilities:

  • Bring ML models up end to end on Cerebras CSX systems
  • Work across model architecture, compiler, runtime and performance tuning
  • Debug performance and correctness issues across the stack
  • Prototype tool and automation improvements to speed future bring-ups

Requirements summary:

  • Bachelor's, Master's or PhD in computer science or engineering
  • Experience with PyTorch or TensorFlow and model internals
  • Proficiency in C/C++ and low-level optimization
  • Compiler development experience with LLVM and/or MLIR
  • Background in optimization techniques, including NP-hard problems

Tools & skills

Source and dates

Employer career site / ATS feed · ashby

Employer posting date
2025-07-18
First seen by our source
2026-10-08
Source record updated
2026-10-19

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

DepartmentSoftware development
Hours per week40 (estimated)
Work settingOffice, Laboratory
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationBachelor’s degree (required), Master’s degree (preferred), Doctorate (preferred)
Fields of studyComputer Science, Engineering

Summary and details written by AI from the posting; the employer’s posting is the authority.

Cerebras Systems

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

The World's Fastest AI Inference

Full company description

Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. We’re a team of pioneering computer architects, deep learning researchers, and engineers building a new class of AI supercomputers from the ground up. Our flagship system, Cerebras CS-3, is powered by the Wafer Scale Engine 3—the world’s largest and fastest AI processor. CS-3s are effortlessly clustered to create the largest AI supercomputers on Earth, while abstracting away the complexity of traditional distributed computing. From sub-second inference speeds to breakthrough training performance, Cerebras makes it easier to build and deploy state-of-the-art AI—from proprietary enterprise models to open-source projects downloaded millions of times. Here’s what makes our platform different: 🔦 Sub-second reasoning – Instant intelligence and real-time responsiveness, even at massive scale ⚡ Blazing-fast inference – Up to 100x performance gains over traditional AI infrastructure 🧠 Agentic AI in action – Models that can plan, act, and adapt autonomously 🌍 Scalable infrastructure – Built to move from prototype to global deployment without friction Cerebras solutions are available in the Cerebras Cloud or on-prem, serving leading enterprises, research labs, and government agencies worldwide. 👉 Learn more: www.cerebras.ai Join us: https://cerebras.net/careers/

LinkedIn followers
119,613
People associated on LinkedIn
970
Reported office locations
  • 1237 E Arques Ave, Sunnyvale, California 94085, US
  • 150 King St W, Toronto, Ontario M5H 1J9, CA
  • Tokyo, JP
  • Bangalore, IN
Business categories
  • Semiconductor
  • Artificial Intelligence
  • Software
  • Hardware
  • RISC
  • Artificial Intelligence (AI)
  • AI Infrastructure
  • Computer
Other recorded names
  • Cerebras Systems
  • Cerebras
Specialties
  • artificial intelligence
  • deep learning
  • natural language processing
  • inference
  • machine learning
  • llm
  • AI
  • enterprise AI
  • and fast inference
Profile identifies a recruitment agency
No
Reported total investment
4,674,771,259

Currency and observation date were not supplied; this is not a current valuation or a funding round.

Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. We’re a team of pioneering computer architects, deep learning researchers, and engineers building a new class of AI supercomputers from the ground up. Our flagship system, Cerebras CS-3, is powered by the Wafer Scale Engine 3—the world’s largest and fastest AI processor. CS-3s are effortlessly clustered to create the…

FieldValue
IndustrySemiconductor Manufacturing
Company size501-1,000 employees
HeadquartersSunnyvale, California
Organization typePrivately Held
Specialtiesartificial intelligencedeep learningnatural language processinginferencemachine learningllmAIenterprise AIand fast inference
Open jobs on Jobsy41
LinkedInView page
Job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

About the Role
We are seeking a versatile and experienced engineer to join our Inference Core Model Bringup team. This team is responsible to rapidly bring up state-of-the-art open-source models (like LLaMA, Qwen, etc) or customer-provided proprietary models on our Cerebras CSX systems. Success in this role requires a system-minded generalist who thrives in fast-paced bringup environments and is comfortable working across the entire Cerebras software stack.
Your work will play a critical role in achieving unprecedented levels of performance, efficiency, and scalability for AI applications.

Responsibilities

  • Contribute to the end-to-end bring up of ML models on Cerebras CSX systems.

  • Work across the stack: 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.

Skills & Qualifications

  • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field.

  • Comfort navigating the full AI toolchain: Python modeling code, compiler IRs, performance profiling, etc.

  • Strong debugging skills across performance, numerical accuracy, and runtime integration.

  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and familiarity with model internals (e.g., attention, MoE, diffusion).

  • Proficiency in C/C++ programming and experience with low-level optimization.

  • Proven experience in compiler development, particularly with LLVM and/or MLIR.

  • Strong background in optimization techniques, particularly those involving NP-hard problems.

What We Offer

  • Competitive salary and benefits package.

  • Opportunities for professional growth and career advancement.

  • A dynamic and innovative work environment.

  • The chance to work on cutting-edge technologies and make a significant impact on the future of AI.

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:

  1. Build a breakthrough AI platform beyond the constraints of the GPU.

  2. Publish and open source their cutting-edge AI research.

  3. Work on one of the fastest AI supercomputers in the world.

  4. Enjoy job stability with startup vitality.

  5. Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

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.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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