Manager kernel software
Cerebras · Bengaluru, IND
CHECKED 7H AGO
Infrastructureremotemanager
At a glance
Highlights
- Build kernels for the world's largest AI chip, 56x larger than GPUs.
- Optimize deep learning ops for massively parallel WSE architecture.
- Shape next-gen chip IO and instruction sets with architects.
Ideal candidate
A hands-on technical leader passionate about hardware-software co-design who mentors engineers and thrives optimizing performance at massive scale to accelerate AI innovation.
Requirements
- Bachelor's, Master's, PhD, or foreign equivalent in Computer Science, Computer Engineering, Mathematics, or related field.
- Proven experience leading technical teams, including mentoring engineers, setting technical direction, and driving execution.
- Strong understanding of hardware architecture concepts and willingness to dive into new system architectures.
- Proficiency in C++ and Python; experience with low-level systems programming.
- Familiarity with library/API development best practices and performance optimization.
- Excellent debugging skills across complex, layered software stacks.
Lab profile
About Cerebras
Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.
What they build
- Wafer-scale AI chips
- AI training systems
- Cloud inference service
Known for
- 56x larger chips than GPUs
- 10x faster inference than GPU clouds
- Industry-leading training speed