Full-Time

Coherent Interconnect Microarchitecture & Logic Design

Full Time

Confirmed live in the last 24 hours

Rivos

Rivos

201-500 employees

Develops custom RISC-V server solutions

Consulting
Hardware
Enterprise Software

Mid

Portland, OR, USA

Hybrid position in Portland, Oregon.

Category
Hardware Engineering
Electronic Hardware Engineering
Hardware Validation & Testing
Required Skills
Verilog
Requirements
  • Thorough knowledge of large scale on-chip coherent or non-coherent interconnect/fabric architecture
  • Knowledge of one or more on-chip network protocols: AMBA, AXI, CHI, ACE, Tilelink, APB or similar protocols
  • Knowledge of cache coherent memory systems and interconnect
  • Knowledge of system caches and directory snoop filter protocols
  • Familiarity with different on-chip network topologies: mesh, ring, crossbar, etc
  • Understanding of high performance and low power microarchitecture techniques and trade-offs
  • Proficiency in SystemVerilog or Verilog RTL coding
  • Knowledge of logic design principles along with timing and power implications
  • Experience with simulators and waveform debugging tools
  • PhD, Master’s Degree or Bachelor’s Degree in technical subject area.
Responsibilities
  • Microarchitecture development and specification - from early high-level architectural exploration through micro architectural research and arriving at a detailed specification
  • Development, assessment, and refinement of RTL design to target power, performance, area, and timing goals
  • Validation - support test bench development and simulation for functional and performance verification
  • Performance exploration and correlation - explore high performance strategies and validate that the RTL design meets targeted performance
  • Design delivery - work with multi-functional engineering team to implement and validate physical design on the aspects of timing, area, reliability, testability and power

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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