RISC-V Specialist

3 weeks ago


Santa Clara, California, United States Rivos Full time

Overview:

Rivos is a pioneering technology company that has assembled a world-class team of silicon, software, and platform designers. We are committed to building industry-leading power-efficient, high-performance, secure server solutions based on RISC-V.

Job Description:

We are seeking a highly motivated RISC-V Specialist to join our team. The ideal candidate will have a strong background in computer engineering, software engineering, or computer science and excellent problem-solving skills.

Responsibilities:

  • Design and implement RISC-V CPU architectures and instruction sets
  • Collaborate with cross-functional teams to develop and optimize AI software solutions
  • Profile and tune AI applications to achieve optimal performance and power efficiency

Requirements:

  • Bachelor's, Master's, or PhD in Computer Engineering, Software Engineering, or Computer Science
  • Coursework or experience with C, C++, Assembly Language Programming, and Computer Architecture
  • Familiarity with Python and experience with NumPy, PyTorch, TensorFlow, or JAX
  • Excellent problem-solving skills, written and verbal communication skills, and strong organization skills

Benefits:

  • A competitive salary of $150,000 - $200,000 per year, depending on experience
  • A comprehensive benefits package, including health insurance, retirement plan, and paid time off
  • The opportunity to work with a world-class team of silicon, software, and platform designers
  • A dynamic and fast-paced work environment with opportunities for growth and development

About Rivos:

Rivos is a cutting-edge technology company founded in May 2021. Our mission is to build industry-leading power-efficient, high-performance, secure server solutions based on RISC-V. We provide a full solution of optimized chips combining RISC-V CPUs and a Data Parallel Accelerator, a reference multi-chip OCP modular server, and a full firmware-to-application open software stack. Customer workloads are easily deployed using their existing models giving an immediate TCO benefit.



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