Cerebras Systems Logo

Cerebras Systems

LLVM Compiler Engineer

Reposted 4 Days Ago
Be an Early Applicant
Easy Apply
In-Office
2 Locations
Junior
Easy Apply
In-Office
2 Locations
Junior
Design and implement low-level components in a compiler toolchain, focusing on LLVM for optimizing code generation for a large AI chip architecture.
The summary above was generated by AI

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  

Cerebras' current customers include top 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. 

Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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.

Location Options: Sunnyvale, Toronto, or Vancouver


About the Role 

We are seeking a Compiler Engineer to help design and implement new features in our low-level compiler toolchain including the compiler mid-end, backend, assembler, and linker targeting individual cores in this unique architecture. You’ll work primarily within the LLVM infrastructure, developing code generation and optimization strategies for both existing and future architectures. 

This role focuses on generating highly optimized single-core code, foundational to scaling performance across our massively parallel system. 

Responsibilities

  • Design and implement low-level compiler components (compiler backend, assembler, linker) targeting single cores. 
  • Automate generation of new LLVM targets using high-level architecture description 
  • Identify and develop novel LLVM mid-end and backend passes that leverage architectural features and optimize code generation for performance, including memory usage, instruction scheduling, and register allocation. 
  • Analyze performance bottlenecks and iterate on codegen strategies for complex workloads. 
  • Work closely with hardware architects, kernel developers, and high-level language designers to ensure end-to-end performance. 
  • Participate in technical reviews, design discussions, and collaborative debugging. 

Requirements

  • Bachelor’s, Master’s, PhD, or foreign equivalents in computer science, engineering, or related field 
  • Strong hands-on experience with LLVM, particularly in backend code generation. 
  • Two or more years of related work experience on compilers/toolchain development or systems programming 
  • Strong proficiency in C++, especially modern C++ practices. 
  • Deep understanding of computer architecture, instruction sets, and memory models. 
  • Familiarity with linkers, assemblers, and binary formats. 

Preferred 

  • Exposure to AI/ML workloads and compilers (MLIR, XLA, TVM, etc.). 
  • Understanding of multi-dimensional data representations and vectorized operations. 

This offer is contingent upon Cerebras successfully obtaining an export license from the U.S. Department of Commerce’s Bureau of Industry and Security authorizing the release to you of certain software source code and/or technology that is subject to the Export Administration Regulations. However, we can make no assurances with respect to the final disposition of an export license application.

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.

Read our blog: Five Reasons to Join Cerebras in 2026.

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.

Top Skills

C++
Llvm
HQ

Cerebras Systems Sunnyvale, California, USA Office

1237 E Arques Ave, Sunnyvale, CA, United States, 94085

Similar Jobs

An Hour Ago
Remote or Hybrid
ON, CAN
125K-250K Annually
Senior level
125K-250K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Manage Enterprise accounts, execute account strategy to close new business, establish relationships with decision makers, collaborate with internal teams for sales success.
Top Skills: CloudCybersecuritySaaSSalesforce
An Hour Ago
Remote or Hybrid
6 Locations
90K-135K Annually
Junior
90K-135K Annually
Junior
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The role involves incident handling, malware analysis, incident response, and developing processes to improve detection and remediation in a cybersecurity environment.
Top Skills: .NetCC#Forensic AnalysisIncident ResponseLinuxmacOSMalware AnalysisPerlPythonRuby On RailsVbWindows
An Hour Ago
Remote or Hybrid
8 Locations
123K-223K Annually
Senior level
123K-223K Annually
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
The role involves managing AI support and learning programs, troubleshooting technical issues, designing training materials, and measuring adoption metrics.
Top Skills: Airtable)APIsAutomation ToolsGmailMcp Integrations (SlackSheets

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account