Deep Learning Libraries Engineer
Job Summary
Job Description
Rivos is developing optimized Deep Learning operators for its SIMT machine, aiming for optimal use of compute units. As a Deep Learning Libraries Engineer, you will contribute to the development and optimization of numerous operators crucial for both training and inference of Deep Neural Networks. This role offers the opportunity to influence hardware architectural decisions, leading to more performant and power-efficient solutions. You will engage in a vertical development approach, contributing to client software, compiler, runtime, and simulators to shape future solutions. Responsibilities include designing and implementing critical parts of DL operator libraries, developing kernels for PyTorch, contributing to performance analysis and ISA simulators, and collaborating with silicon design, architecture experts, and other teams.
Must have:
- 3+ years of experience in numerical library development
- Strong C++ programming skills
- Strong knowledge of parallel programming languages
- Strong background in dense linear algebra software
- Excellent problem-solving skills
- Excellent written and verbal communication skills
- Highly self-motivated
- Ability to work well in a team
Good to have:
- Experience with PyTorch
6 skills required
Job Details
Rivos is developing optimized Deep Learning operators for its SIMT (Single Instruction Multiple Threads) machine, providing optimal use of the compute units the HW exposes. You will contribute to development and optimization of many operators used for both training and inference of Deep Neural Networks. In this process you will be able to influence the architectural decision of the HW engine to deliver more performant and more power efficient solutions. In a vertical development approach you will be contributing extensively to all the other parts of the solution: client software, compiler, runtime, simulator to help define the next generations of our solution.
Responsibilities
- As a Deep Learning Libraries engineer, you will own or participate in the following
- design and implement critical parts of the DL operators libraries, including kernels used by PyTorch
- contribute to the performance analysis flow to guide optimization work
- contribute to the functional and performance ISA simulators
- collaborate cross-functionally with Silicon design, architecture experts, and other teams across the company
Requirements
- at least 3 years of experience numerical library development
- strong C++ programming skills
- strong knowledge of parallel programming languages
- experience with PyTorch a plus
- strong background in dense linear algebra software
- excellent skills in problem solving, written and verbal communication, excellent organization skills, and highly self-motivated.
- ability to work well in a team and be productive under aggressive schedules
Education and Experience
PhD, Master’s Degree or Bachelor’s Degree in technical subject area.
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