New - grad software engineer building Quora’s distributed ML platform, model serving, and developer tooling. Supporting Quora’s global knowledge - sharing product with scalable GPU infrastructure.
About the role
- ML Performance Benchmarking Engineer at Cerebras Systems, transforming AI inference with cutting-edge technology. Collaborating with teams to optimize performance across the software stack.
Responsibilities
- Design and implement end-to-end telemetry systems across the software stack, providing deep visibility into inference performance.
- Architect, build, and scale the automation that generates, analyzes, and visualizes performance data.
- Dive deep into system behavior, dissect performance bottlenecks, and deliver actionable insights that influence features.
- Partner closely with Core Platform teams to define rigorous testing methodologies that validate inference features for peak performance.
Requirements
- Bachelor’s or Master’s degree in Computer Engineering, Systems Engineering, or a related field.
- Proficiency in Python and/or C++ programming.
- Proven experience in building and scaling automated infrastructure.
- Strong background in throughput and performance optimization techniques, especially in complex, large-scale systems.
- Excellent problem-solving skills and a strong analytical mindset.
- Demonstrated ability to dive deep into new domains.
- Ability to work in a fast-paced, ambiguous, and collaborative environment.
- Familiarity with problem-solving at the intersection of hardware and software.
- Hands-on experience with AI workloads and architectures is a plus.
Benefits
- 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.
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