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水平: Entry level
工作类型: Full-time
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工作内容
About SiFiveAs the pioneers who introduced RISC-V to the world, SiFive is transforming the future of compute by bringing the limitless potential of RISC-V to the highest performance and most data-intensive applications in the world. SiFive’s unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer. With SiFive, the future of RISC-V has no limits.At SiFive, we are always excited to connect with talented individuals, who are just as passionate about driving innovation and changing the world as we are.Our constant innovation and ongoing success is down to our amazing teams of incredibly talented people, who collaborate and support each other to come up with truly groundbreaking ideas and solutions. Solutions that will have a huge impact on people’s lives; making the world a better place, one processor at a time.Are you ready?To learn more about SiFive’s phenomenal success and to see why we have won the GSA’s prestigious Most Respected Private Company Award (for the fourth time!), check out our website and Glassdoor pages.Job Description:The Role:The Algorithms & Libraries Team seeks a performance programmer passionate about developing and optimizing algorithms for signal processing, machine learning, and other computational domains. This opening is primarily focused on enhancing open-source libraries to leverage the RISC-V architecture.Responsibilities:- Developing high-performance algorithms and software libraries for RISC-V machines, leveraging vector processing and SiFive’s custom ISA extensions.
- Participating in co-design efforts with architects and hardware engineers, navigating tradeoffs between micro/architecture and algorithm designs, shaping products in early development stages.
- Contributing RISC-V enhancements to open-source libraries.
- Undergraduate degree in computer science, applied mathematics, or a related field.
- Theoretical background in analysis of algorithms, linear algebra, and parallel computing.
- Practical background (3+ years experience) in developing and optimizing algorithms for specific microarchitectures, writing low-level C and assembly code.
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最后期限: 20-12-2024
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