At a Glance
- Tasks: Optimize AI model performance on the world's largest AI chip and enhance computational efficiency.
- Company: Cerebras Systems, a leader in AI technology with a collaborative and innovative culture.
- Benefits: Job stability, startup energy, and opportunities for continuous learning and growth.
- Other info: Inclusive environment that values diverse perspectives and empowers individual contributions.
- Why this job: Join a groundbreaking team transforming AI applications with ultra-fast supercomputing.
- Qualifications: Degree in Electrical Engineering or Computer Science; experience in computer architecture and optimization.
The predicted salary is between 135000 - 165000 $ per year.
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:
- 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.
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.
CoDesign & NextGen Performance Engineer in Toronto employer: Cerebras
Cerebras Systems is an exceptional employer for those passionate about advancing AI technology, offering a unique opportunity to work on the world's largest AI chip in a dynamic and innovative environment. With a strong emphasis on employee growth, a non-corporate culture that values individual beliefs, and the chance to contribute to groundbreaking projects alongside leading enterprises and startups, Cerebras fosters a collaborative atmosphere where engineers can thrive and make a meaningful impact. Join us to be part of a team that not only pushes the boundaries of AI but also prioritizes job stability and continuous learning.
