Software Engineering Intern contributing to Tonal’s product roadmap while developing AI - assisted automation solutions. Collaborating with engineering teams to leverage new technologies and boost productivity.
About the role
- Software Engineering Intern at d-Matrix developing high performance kernels for accelerating Machine Learning models. Collaborating with the Kernels team to implement, test, and tune kernels.
Responsibilities
- Develop high performance kernels essential for accelerating Machine Learning models
- Develop reference implementations for accuracy verification
- Define unit tests for implemented operators
- Performance tuning and scalability analysis across varied problem sizes
- Collect performance metrics and identify bottlenecks to improve core functionality
- Package and ship the final implementations
Requirements
- Ability to implement high performance kernels in low-level languages; Assembly/ISA coding experience is advantageous
- Proficiency in Python and/or C++
- Solid background in Machine Learning model architecture (e.g., LLMs, CNNs)
- Experience with ML frameworks such as PyTorch and ML packages like Numpy
- General understanding of computer architecture (CPU, GPU, custom ASICs, etc.)
- Currently enrolled in a graduate program (Master's or Ph.D) in a relevant discipline
- Previous internship or project experience related to high performance computing or ML kernel development preferred
- Familiarity with additional ML frameworks (TensorFlow, etc.) preferred
- Interest in hardware-software co-design preferred
Benefits
- Medical/Dental/Vision/401k
- Diverse package of benefits centered around the wellbeing of our employees and their loved ones
- Incentive opportunities based on individual and company performance
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