Full-Time

Multi-Chiplet Fabric Performance Engineer

Confirmed live in the last 24 hours

Rivos

Rivos

201-500 employees

Develops custom RISC-V server solutions

Consulting
Hardware
Enterprise Software

Junior, Mid

Austin, TX, USA + 3 more

More locations: Santa Clara, CA, USA | Fort Collins, CO, USA | Portland, OR, USA

Hybrid role requiring in-office presence.

Category
Hardware Engineering
Hardware Validation & Testing
System Hardware Engineering
Required Skills
Python
C/C++
Requirements
  • Knowledge of on-chip interconnection networks (NoC) including routing, arbitration, deadlock-avoidance and flow control methods.
  • Experience in developing and working with interconnect-only as well as full-system simulators.
  • Cycle accurate performance modeling experience using C/C++.
  • Analytical modeling for fabric components with focus on latency and bandwidth.
  • Ability to work well in a team and be productive under aggressive schedules.
  • Proficiency in C or C++, Python and System Verilog.
  • Experience with high-level simulators for power estimation is a plus.
  • Excellent skills in problem solving, written and verbal communication, excellent organization skills, and highly self-motivated.
Responsibilities
  • Work closely with fabric architects and micro-architects to define the multi-chiplet interconnection solution for Data Parallel Accelerator.
  • Ability to represent key design details in a Python-based analytical model for peak bandwidth estimation under different traffic scenarios.
  • Ability to represent architectural and micro-architectural details in cycle accurate performance models and setup performance / design space exploration studies using those models.
  • Bringup and performance debug for multi-chiplet configs including full system compute and on-chip fabrics.
  • Performance correlation of model with RTL - explore high performance strategies and validate that the RTL design meets targeted performance.
  • Develop performance verification tests to ensure quality of model and design.

Rivos develops high-performance and power-efficient server solutions using RISC-V, an open-source hardware instruction set architecture. Their custom hardware is designed to meet the specific needs of enterprise clients, including data centers and cloud service providers, who require reliable systems for extensive data processing and storage. Rivos stands out from competitors by utilizing RISC-V technology, which allows for greater flexibility and customization compared to traditional proprietary solutions. The company's goal is to provide tailored and cost-effective server products while also offering support and consulting services to ensure optimal integration with clients' existing systems.

Company Stage

Series A

Total Funding

$243.2M

Headquarters

Santa Clara, California

Founded

2021

Growth & Insights
Headcount

6 month growth

12%

1 year growth

14%

2 year growth

14%
Simplify Jobs

Simplify's Take

What believers are saying

  • Rivos' recent funding round of over $250M provides substantial capital for R&D and market expansion.
  • The company's focus on RISC-V technology allows for cost-effective and highly customizable server solutions, appealing to enterprise clients with specific needs.
  • Rivos' entry into the AI and data analytics markets offers significant growth potential and the opportunity to undercut established players like Nvidia.

What critics are saying

  • The competitive landscape in the server and AI chip markets is intense, with established giants like Nvidia posing significant challenges.
  • Rivos' reliance on the relatively new and evolving RISC-V architecture may present integration and adoption hurdles for potential clients.

What makes Rivos unique

  • Rivos leverages the open-source RISC-V architecture, offering flexibility and customization that proprietary solutions lack.
  • The company's focus on high-performance, power-efficient, and secure server solutions specifically tailored for enterprise clients sets it apart from more generalized competitors.
  • Rivos' significant funding, including over $250M raised, positions it to aggressively innovate and compete in the AI and data analytics markets.

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