We are looking for algorithm and optimization experts to help unlock the potential of our unique spatial compute architecture.
In this role, you would develop efficient solutions to the hard graph optimization problems involved in allocating chip resources for neural network inference acceleration.
These challenges include graph partitioning, scheduling, and place and route optimization. Additionally, you would develop profiling and visualization tools and collaborate with other teams in identifying performance bottlenecks and conceiving creative solutions.
Requirements
Computer Science, Engineering, or related degree
- 5+ years of SW development experience
- Creative problem solver, passionate about solving hard problems
- Expertise in combinatorial and graph optimization algorithms
- Strong C++ and python development skills
- Experience optimizing code for high-performance and delivering it to production
- Excellent communication and collaboration skills
Preferred Skills & Experience
Masters or PhD in Computer Science, Engineering, or related field
- EDA or FPGA place and route experience
- Relentless focus on software quality and testing
- Proficient with python data-science libraries (pandas, numpy, bokeh)
- Familiar with neural net frameworks tensorflow or pytorch
- Experience working with continuous integration systems
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