Design Verification Engineer, Hardware
River AI
Palo Alto, CA · Posted May 15, 2026
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Where Palo Alto, CA ranks
Where Palo Alto, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #3Best cities for entry-level jobs that want AI skills28% · of 100
- #3Best cities for entry-level jobs that want AI skills in the West Coast28% · of 54
- #3Best cities for AI-skill jobs37% · of 100
- #3Best cities for AI-skill jobs in the West Coast37% · of 71
- #4Best cities for data and analytics pay after cost of living$207k · of 28
- #4Best all-round cities for mid-career professionals83 / 100 · of 100
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
How AI is used in this kind of work
AI use among electrical engineers is little observed so far. Measured exposure for electrical engineers: 6% (little observed).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
At River AI, our mission is to create personal AI owned and shaped by each individual. To achieve this, we are rewriting the entire stack from scratch: personal hardware for local inference, bespoke training infrastructure, next-generation UIs, and frontier deep learning research.
Who we are
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.
About the Role
We are seeking exception design verification engineers to ensure our high-performance custom silicon is functionally correct. Starting from architectural and micro-architectural definitions, you will define test bench boundaries and implement test environments across a variety of verification methodologies (simulation, formal, emulation, etc). You will collaborate with RTL design, performance modeling and verification, and compiler teams.
What You’ll Do
• Verification Strategy & Planning: Define comprehensive verification plans by extracting features from architectural and micro-architectural specifications for complex blocks.
• UVM Environment Development: Architect and implement scalable, reusable, and robust test benches using SystemVerilog and UVM (Universal Verification Methodology).
• Constrained-Random Testing: Develop complex sequences and test cases to achieve high functional coverage, ensuring the design handles architectural corner cases and error conditions.
• Coverage-Driven Verification: Define and implement functional coverage models and perform detailed code coverage analysis to quantify verification progress.
• Formal Verification: Leverage formal methods (SVA, Property Checking) where applicable to exhaustively prove the correctness of critical logic.
• Emulation: Use emulation and prototyping platforms like ZeBu/HAPS and Palladium/Protium to perform scaled testing.
• Debug & Analysis: Debug failures using waveform viewers and work closely with RTL designers to resolve functional bugs and architectural non-compliance.
• Automation & Scripting: Build and maintain regression flows and productivity tools using Python, Perl, Bash, or TCL to streamline the verification cycle.
Skills and Qualification
Minimum Qualifications:
• 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.
Preferred Qualifications: (We encourage you to apply even if you don’t meet all of these)
• 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.
Logistics & Benefits
• Location: This role is based in Austin, Texas or Palo Alto, California.
• Compensation: Depending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $420,000 USD, plus equity.
• Visa Sponsorship: We sponsor visas. We can't guarantee success for every candidate or role, but if you're the right fit, we're committed to working through the visa process.
• Benefits: River AI offers generous health, dental, and vision benefits, unlimited PTO, and relocation support as needed.