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Ai Chip Design Rtl Jobs in California (NOW HIRING)

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 ...

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 ...

SOC Intergration Engineer

Mountain View, CA · Remote

$175K - $450K/yr

... chip SOC RTL design. * Partner with SubSystem owners within the Design team to facilitate block ... Leverage hands-on experience with AI-driven tools to architect automation for SOC integration and ...

SOC Intergration Engineer

Mountain View, CA · On-site

$175K - $450K/yr

... chip SOC RTL design. * Partner with SubSystem owners within the Design team to facilitate block ... Leverage hands-on experience with AI-driven tools to architect automation for SOC integration 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 ...

Advanced Packaging Engineer

Mountain View, CA · On-site

$160K/yr

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 ...

Lead RTL Design Engineer

Sunnyvale, CA · Hybrid

$175K - $275K/yr

Drive all aspects of chip design, including Functional Specification, Micro-architecture, RTL development, Synthesis. * Managing external ASIC vendor through product development cycle. * Work closely ...

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 ...

Senior Software Engineer - Agentic AI

Santa Clara, CA · Hybrid

$143K - $189K/yr

As part of NVIDIA's applied LLM and AI chip design team, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of chip design at NVIDIA and throughout the ...

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 ...

Senior Software Engineer - Agentic AI

Santa Clara, CA · Hybrid

$142K - $188K/yr

As part of NVIDIA's applied LLM and AI chip design team, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of chip design at NVIDIA and throughout the ...

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Showing results 1-20

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 some 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 are AI Chip Design RTL engineers?

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 are the key skills and qualifications needed to thrive as an AI Chip Design RTL Engineer, and why are they important?

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 June 2026, with employment types broken down into 100% Full Time. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.
Senior C++ Software Engineer - Chip Design Tools

Senior C++ Software Engineer - Chip Design Tools

Nvidia

Santa Clara, CA • On-site

Full-time

Posted 6 days ago


Job description

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life's work, to amplify human creativity and intelligence. Make the choice to join us today!

Our team is responsible for development and support of infrastructure tools used by design engineers for build and verification of architectural, rtl, and gate level designs. As a software engineer, you will craft highly efficient software to automate and facilitate chip design and verification processes.

What You'll be Doing:

  • Work as a team to build reliable, scalable and high performance software that are easy to use by hundreds of engineers worldwide.

  • Develop software tools in C++/Golang to analyze and construct chip designs described in C++, Verilog or domain-specific languages (DSLs).

  • Research and develop software solutions to allow greater efficiency in architecture, hardware and software teams.

  • Optimize the daily workflows of the world's top chip modelers and designers.

What We Need to See:

  • BS (or equivalent experience) and 5+ years of software development experience., MS (or PHD) preferred.

  • Experienced with C++ or Golang, Unix/Linux.

  • Solid understanding of algorithms, computer architecture and computer science theory

  • Experienced with VLSI frontend design and verification

  • Flexibility/adaptability for working in a global and dynamic environment with different frameworks and requirements

Ways to stand out from the crowd:

  • Good architecture and RTL design knowledge

  • Strong expertise in modern C++, compiler, build systems, and database.

  • Experienced with static and dynamic code analysis tools

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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