CoDesign & NextGen Performance Engineer

Cerebras is hiring a CoDesign & NextGen Performance Engineer for a remote role open to applicants in United States. Level rates it ; you can apply on Cerebras.

Level's read on this job

Level rates this role Builds AI ●●●●: the job is building AI systems.
The posting lists this role as remote.
Tools and skills the posting cites include OpenAI, C and Python.
Level classifies it as a senior role.
Level lists 121 other open roles at Cerebras.

AI in this role

Optimize AI model performance, kernels, and compilers for Cerebras's wafer-scale AI hardware architecture.

openaicpython

ai-researchcomputer-architecturekernel-optimizationperformance-profilinghpc

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

This role focuses on characterizing, analyzing, and optimizing the performance of state-of-the-art AI models running on Cerebras’ breakthrough hardware. You will work across the hardware and software stack to identify bottlenecks, improve computational efficiency, and help influence the design of Cerebras’ next-generation AI architecture and software systems.

Responsibilities

Bring up and optimize performance on new generations of the Cerebras WSE.
Build performance models (kernel-level, end-to-end) to estimate the performance of state of the art and customer ML models.
Optimize and debug our kernel micro code and compiler algorithms to elevate ML model inference speed, throughput and compute utilization on the Cerebras WSE.
Debug and understand runtime performance on the system and cluster.
Develop tools and infrastructure to help visualize performance data collected from the Wafer Scale Engine and our compute cluster.

Skills & Qualifications

Bachelors / Masters / PhD in Electrical Engineering or Computer Science.
Strong background in computer architecture.
Exposure to and understanding of low-level deep learning / LLM math.
Strong analytical and problem-solving mindset.
3+ years of experience in a relevant domain (Computer Architecture, CPU/GPU Performance, Kernel Optimization, HPC).
Experience working on CPU/GPU simulators.
Exposure to performance profiling and debug on any system pipeline.
Comfort with C++ and Python.

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.

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.

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How we rate this

CoDesign & NextGen Performance Engineer at Cerebras rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

CoDesign & NextGen Performance Engineer is an open job at Cerebras.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Sunnyvale, CA and is marked remote.
The job was posted on July 14, 2026.
Seniority: senior.
Applications are handled by Cerebras. Apply on Cerebras

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI ResearchComputer ArchitectureKernel OptimizationPerformance ProfilingHpcOpenAICPython

Questions you could be asked

Tell me about a research question you investigated. What did you find?
Tell me about a project where computer architecture was part of your work. What did you do?
Tell me about a project where kernel optimization was part of your work. What did you do?
Tell me about a project where performance profiling was part of your work. What did you do?
Tell me about a project where hpc was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Research, Computer Architecture, Kernel Optimization, Performance Profiling, and Hpc. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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