RTL Design Engineer, Hardware

River AI; Palo Alto (CA); On-site; USD 200,000 - 420,000; Full time

Benefits offered by this job

Health benefits

Dental benefits

Vision benefits

Unlimited PTO

Relocation support

Job summary

River AI is hiring an exceptional RTL design engineer to architect and implement high-performance AI accelerator SoCs. You will own architecture, micro-architecture, and RTL, collaborating with verification, physical designers, and software teams to optimize PPA and deliver scalable silicon.

You will work across the stack with compiler and performance models, tackling complex design challenges on advanced process nodes, with a focus on power-efficient data paths and high throughput.

Qualifications

• Bachelor's degree in Electrical Engineering or Computer Engineering, 5+ years of industry experience.
• Hands-on RTL, synthesis, physical design, and timing tools experience (SystemVerilog, VCS/Verdi, Fusion Compiler, PrimeTime).
• Expert knowledge in Computer Architecture of SoCs, CPUs, GPUs, or AI accelerators.
• Proven track record delivering silicon at scale with ECOs and reliability.
• Collaborative mindset to push boundaries and co-design with engineers.

Responsibilities

• Create high-level architectural specifications and detailed micro-architectures for AI hardware subsystems.
• Design and implement RTL using SystemVerilog, optimizing throughput, latency, and power.
• Work with backend on synthesis, floorplanning, and STA to meet target frequencies.
• Collaborate with compiler, performance modeling, and software teams to identify bottlenecks from ISA to applications.

Skills

RTL design

SystemVerilog

Synthesis

Physical design

Timing analysis

Architecture

C/C++

Python

NoC protocols

Education

B.S. in EE/CE

Tools

VCS/Verdi

Fusion Compiler

PrimeTime

Job description

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, custom 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 looking for exceptional RTL design engineers to architect and implement high-performance custom silicon. You will design and define the architecture, micro-architecture, and implementation of complex AI accelerator and related SoC components on advanced foundry nodes. You will take ownership of large parts of the chip and be responsible for both functionality and PPA. You will be collaborating both up and down the stack with compiler and performance model teams, as well as with verification and physical designers.

What You’ll Do

• Architecture & Micro-architecture: Create high-level architectural specifications as well as detailed micro-architectural designs for AI hardware subsystems.
• RTL Development: Design and implement complex logic using System Verilog, focusing on pipelines, throughput vs latency tradeoffs, and power efficient data paths.
• Physical Design Integration: Collaborate with the backend team on synthesis, floorplanning, and power analysis. Drive and analyze static timing analysis (STA) to resolve timing violations and ensure the design meets target frequencies.
• Performance Integration: Collaborate with the compiler, performance modeling, and software team to identify bottlenecks in the micro-architecture, architecture, ISA, kernels, and all the way up to the full system and end applications.

Skills and Qualifications

Minimum Qualifications:

• Bachelor’s degree in Electrical Engineering or Computer Engineering, and 5+ years practical industry experience working with advanced process nodes (7nm or below).
• Deep hands-on proficiency with industry-standard RTL, synthesis, physical design, and timing tools (e.g., System Verilog, VCS/Verdi, Fusion Compiler, PrimeTime).
• Expert knowledge in Computer Architecture of at least one style of chip, including SoCs, CPUs, GPUs, or AI accelerators
• Proven track record of functional and performant silicon delivery, including experience in ECOs and reliable silicon at scale.
• A highly collaborative mindset 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)

• Hands-on experience in post-Silicon bug fixing, firmware patching, and GPIO/I2C/SPI/UART low-level debugging
• Proficiency with C/C++/python and ISA assembly to understand and debug performance models and kernels
• Experience with a high-speed IO device such as PCIe, UCIe, or HBM/DDR memory controllers
• Knowledge of NoC level communications, such as AXI, CHI, or any credit or valid/ready protocol

Logistics

• 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.