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Ai Chip Design Rtl Jobs in California (NOW HIRING)

Founded by leading experts in AI and chip design, we work with top-20 semiconductor companies, major cloud providers, and next-generation hardware startups. Our AI-powered platform accelerates RTL ...

Founded by leading experts in AI and chip design, we work with top-20 semiconductor companies, major cloud providers, and next-generation hardware startups. Our AI-powered platform accelerates RTL ...

Head of AI

Palo Alto, CA

$350K - $500K/yr

You should bring deep expertise in ML for chip design, as well as leadership experience in high ... Architect and deploy novel agent-based systems, including fine-tuning models for RTL Code ...

Head of Hardware

Palo Alto, CA

$145K - $191K/yr

... AI-driven chip design in a fast-paced, cutting-edge environment. Key Responsibilities * Lead ... Oversee all hardware engineering efforts, setting the vision and strategy for RTL development and ...

Work with chip-design and software teams driving DensityAI's AI accelerator program from first ... RTL and PD flows Compensation Final offers depend on level, location, and skills relevant to the ...

Experience in RTL design (Verilog), verification (UVM, System Verilog), System-On-Chip design ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

Hardware Engineer, RTL

Palo Alto, CA · On-site

$140 - $180/hr

Experience at an AI chip company where design and verification were tightly coupled * Open-source RTL contributions to projects like Chipyard, OpenTitan, or CVA6 * Familiarity with RISC-V or other ...

New

About Etched Etched is building AI chips that are hard-coded for individual model architectures ... RTL simulator, low power checker, static RTL checkers such as Lint, and CDC/RDC/SDC/DFT, and formal ...

About Etched Etched is building AI chips that are hard-coded for individual model architectures ... RTL simulator, low power checker, static RTL checkers such as Lint, and CDC/RDC/SDC/DFT, and formal ...

About Etched Etched is building AI chips that are hard-coded for individual model architectures ... RTL simulator, low power checker, static RTL checkers such as Lint, and CDC/RDC/SDC/DFT, and formal ...

Showing results 21-40

Ai Chip Design Rtl information

What is the difference between Ai Chip Design Rtl vs Ai Chip Verification Engineer?

AspectAi Chip Design RtlAi Chip Verification Engineer
Primary FocusDeveloping and implementing Register Transfer Level (RTL) code for AI chipsVerifying and validating RTL designs to ensure functionality
Skills RequiredHDL languages (Verilog/VHDL), digital design, FPGA/ASIC knowledgeSimulation, testbench creation, debugging, scripting skills
Work EnvironmentDesign teams, hardware development labs, EDA toolsVerification teams, simulation environments, test setups
CertificationsHardware design certifications, FPGA/ASIC trainingVerification methodologies, UVM, SystemVerilog certifications

While Ai Chip Design Rtl focuses on creating the hardware description code for AI chips, Ai Chip Verification Engineer ensures that the RTL design functions correctly through rigorous testing. Both roles require knowledge of HDL languages and work closely within hardware development teams, but their core responsibilities differ—design versus verification.

What are common challenges faced by AI Chip Design RTL engineers during the verification process?

AI Chip Design RTL engineers often encounter challenges in ensuring their designs meet complex functional and performance requirements, especially given the rapid pace of AI hardware advancements. Verification can be particularly demanding due to the need to simulate and test intricate AI workloads, manage large datasets, and debug subtle timing or logic errors. Collaboration with verification teams, system architects, and software engineers is essential to address these issues efficiently and to ensure seamless integration of the RTL code into the broader chip design. Staying up-to-date with the latest verification tools and methodologies is also crucial for success in this role.

What is an AI Chip Design RTL engineer?

AI Chip Design RTL (Register Transfer Level) engineers are specialists who design the digital logic for chips used in artificial intelligence applications. They use hardware description languages like Verilog or VHDL to create and validate the architecture and functionality of these chips before they are manufactured. Their work ensures that AI processors are efficient, high-performing, and meet the requirements of modern AI workloads. RTL engineers collaborate closely with verification, software, and hardware teams to optimize chip performance and power consumption.

What skills and qualifications are needed to thrive as an AI Chip Design RTL engineer?

To thrive as an AI Chip Design RTL Engineer, you need a solid background in digital design, computer architecture, and proficiency in Hardware Description Languages (HDLs) like Verilog or VHDL, often supported by a degree in electrical or computer engineering. Experience with simulation tools (e.g., ModelSim, Synopsys), ASIC/FPGA design flows, and relevant certifications are highly valued. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills help you excel in collaborative and complex design environments. These competencies are crucial for creating efficient, reliable AI hardware that meets performance and power requirements in a fast-evolving field.
What cities in California are hiring for Ai Chip Design Rtl jobs? Cities in California with the most Ai Chip Design Rtl job openings:
Infographic showing various Ai Chip Design Rtl job openings in California as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

AI Chip Design Engineer - New College Grad 2026

NVIDIA

Santa Clara, CA • On-site

Full-time

Re-posted 10 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

Job Summary:
NVIDIA is a leading technology company seeking highly motivated Engineers to enhance AI capabilities in verification tasks. The role involves developing AI agents and optimizing algorithms to improve productivity and ensure seamless performance across engineering teams.
Responsibilities:
• Play a key role in design, development and deployment of high performant agents’ frameworks and tools.
• Develop AI agents which can process large codebase and waves failures to help in coding and debugging tasks.
• Collaborate with HW engineering teams to understand their specific needs and challenges and ensure our agent platform is well-suited to these needs.
• Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications.
• Stay ahead by engaging with the latest advancements in machine learning and AI to create state-of-the-art solutions.
• Integrate AI-driven optimizations into existing tools and flows.
• Lead with purpose and maintain high-quality engineering practices that inspire others to achieve excellence.
Qualifications:
Required:
• MS, PhD, or equivalent experience in CS/CE/EE/Mathematics.
• Strong proficiency in agentic LLM Libraries/ Technologies like LangChain, LangGraph, AutoGen, CrewAI, RAGs, vector databases, prompt engineering, knowledge graphs, etc.
• Solid understanding of GPU/CPU architectures and designs.
• Strong analytical skills to solve complex problems.
• Knowledge of HW verification methodologies and techniques.
• Hands-on experience with Verilog / System Verilog HDLs, temporal logic assertions, and able to understand complex RTL quickly.
• Excellent command of scripting using Python.
• Excellent interpersonal skills, able to effectively collaborate and work with members of a distributed team.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993