Design Verification Engineer, Hardware at River AI Inc. | Austin, TX, US | Rezi

Design Verification Engineer, Hardware at River AI Inc.

Design Verification Engineer, Hardware

River AI Inc. · Austin, TX, US

1 weeks ago

Design Verification Engineer, Hardware

River AI Inc. · Austin, TX, US

9 days ago
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About the Role

We are seeking exceptional design verification engineers to ensure our high-performance custom silicon is functionally correct. You will define test bench boundaries and implement test environments across a variety of verification methodologies, collaborating with RTL design, performance modeling and verification, and compiler teams.

Responsibilities

  • Define comprehensive verification plans by extracting features from architectural and micro-architectural specifications for complex blocks.
  • Architect and implement scalable, reusable, and robust test benches using SystemVerilog and UVM.
  • Develop complex sequences and test cases to achieve high functional coverage, ensuring the design handles architectural corner cases and error conditions.
  • Define and implement functional coverage models and perform detailed code coverage analysis to quantify verification progress.
  • Leverage formal methods (SVA, Property Checking) where applicable to exhaustively prove the correctness of critical logic.
  • Use emulation and prototyping platforms like ZeBu/HAPS and Palladium/Protium to perform scaled testing.
  • Debug failures using waveform viewers and work closely with RTL designers to resolve functional bugs and architectural non-compliance.
  • Build and maintain regression flows and productivity tools using Python, Perl, Bash, or TCL to streamline the verification cycle.

Requirements

  • Bachelor’s degree in Electrical Engineering or Computer Engineering or Computer Science, and 5+ years industry experience.
  • Deep, hands-on experience building UVM-based environments (Agents, Scoreboards, Drivers, Monitors, and Predictors).
  • Expert command of SystemVerilog for verification, including OOP principles, randomization, and functional coverage.
  • Strong understanding of computer architecture, including pipelines, cache coherency protocols, memory consistency models, and high-speed interconnects (e.g., AXI, CHI).
  • Proven track record of verifying high-performance silicon (CPU, GPU, AI accelerator, or complex SoC).
  • A highly collaborative mindset and a bias for action to push boundaries and co-design effectively with other engineers.
  • Proficiency SystemVerilog Assertions (SVA) and formal tools (Jasper, VC Formal) to catch temporal logic bugs at the source.
  • Understanding of emulation and prototyping solutions and test environments.
  • Hands-on experience in post-Silicon bringup, testing, and debug.
  • Experience in workflow management, CI/CD, regression definition and visibility, EDA tool configuration and usage, and other infrastructure tasks.

Skills

  • SystemVerilog
  • UVM
  • Constrained-Random Testing
  • Functional Coverage
  • Formal Verification
  • Emulation
  • Python
  • Perl
  • Bash
  • TCL
  • SystemVerilog Assertions (SVA)
  • Computer Architecture
  • Pipelines
  • Cache Coherency Protocols
  • Memory Consistency Models
  • High-Speed Interconnects (AXI, CHI)
  • Post-Silicon Bringup
  • Workflow Management
  • CI/CD
  • EDA Tool Configuration

Location

  • Austin, Texas
  • Palo Alto, California

Work Type

  • Onsite

Experience Level

  • 5+ years industry experience

Education Level

  • Bachelor’s degree in Electrical Engineering or Computer Engineering or Computer Science

Salary/Compensations

  • $200,000 - $420,000 USD

Benefits

  • Generous health, dental, and vision benefits
  • Unlimited PTO
  • Relocation support
  • Visa Sponsorship

About the Company

  • At River AI, our mission is to create personal AI owned and shaped by each individual.
  • We are rewriting the entire stack from scratch: personal hardware for local inference, bespoke training infrastructure, next-generation UIs, and frontier deep learning research.
  • We are scientists, engineers, and builders from the industry's top tech companies and AI labs.
  • We bring a proven track record of scaling consumer systems for hundreds of millions of users and architecting the pre-training infrastructure behind today's frontier models.