GPGPU Runtime Software Engineer
Job Summary
Job Description
Rivos is building a GPGPU optimized for large language models and data analytics, integrated with their RISC-V CPU. They are seeking an experienced software professional to enhance the high-performance runtime libraries. The software team collaborates closely with hardware teams, running their software stack for pre-Silicon functional and performance validation. Responsibilities include cross-functional collaboration with Silicon design and architecture experts, developing new runtime features for high-performance hardware, contributing to all software layers (host runtime, driver, firmware, device runtime), and extending customer-facing tools.
Must have:
- Strong C, C++, and Rust experience
- Collaborate cross-functionally with HW teams
- Architect, develop, and test new runtime features
- Contribute to all SW layers
- Excellent problem-solving skills
- Ability to work in a team
Good to have:
- Linux OS internals knowledge
- CUDA programming knowledge
- Excellent communication and organization skills
- Highly self-motivated
- Productive under aggressive schedules
5 skills required
Job Details
Rivos is developing a GPGPU, optimized for large language models and data analytics, integrated with our optimized RISC-V CPU.We are looking for an experienced software professional to contribute to the high performance runtime libraries powering our software stack. The software team is working in very close interaction with the HW teams by running our software stack to help with pre Silicon functional and performance validation.
Responsibilities
- Collaborating cross-functionally with Silicon design, architecture experts, and other teams across the company.
- Architect, develop, test new runtime feature for the high performance HW
- Contribute to all SW layers: host runtime, driver, firmware, device runtime
- Contribute to extend the tools used delivered to end customers
Requirements
- strong C,C++ and Rust experience mandatory
- Linux OS internals is a strong plus
- Knowledge of CUDA programming is preferred
- 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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