Performance Reliability Engineer

Cerebras Systems

3 months ago

Sunnyvale, CA, USA or Toronto, Canada

Mid Level / Senior

H1B Sponsor

Responsibilities

Characterize and enhance the performance and reliability of advanced ML hardware/software systems.
Analyze ML workloads, software kernels, and hardware architecture for power and performance impacts.
Develop creative software solutions to improve reliability and performance.
Influence the design of Cerebras' next-generation AI architecture and software stack.
Partner with ML engineers, researchers, and reliability specialists to understand model behavior.
Collaborate with teams in architecture, silicon, and research to advance computational platforms.

BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field.
3+ years of relevant experience in performance engineering, reliability, computer architecture, and/or software design.
Proficiency in Python or other scripting languages.
Experience with C/C++ and assembly programming.
Demonstrated expertise with system-level performance and reliability optimization.
Strong verbal and written communication skills.
Nice to have: Hands-on experience with ML models and frameworks.
Nice to have: Understanding of thermal management principles and power delivery for advanced semiconductors.

Opportunity to build a breakthrough AI platform beyond the constraints of the GPU.
Ability to publish and open source cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Experience a simple, non-corporate work culture that respects individual beliefs.

CC++Python