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Ai Chip Design Rtl Jobs (NOW HIRING)

Are you looking to expand your chip design career and challenge yourself in a technical and multi ... Perl, JSON and Python) Using GenAI tools (e.g., large language models, AI-assisted code generation ...

Are you looking to expand your chip design career and challenge yourself in a technical and multi ... Perl, JSON and Python) Using GenAI tools (e.g., large language models, AI-assisted code generation ...

Are you looking to expand your chip design career and challenge yourself in a technical and multi ... Perl, JSON and Python) Using GenAI tools (e.g., large language models, AI-assisted code generation ...

Are you looking to expand your chip design career and challenge yourself in a technical and multi ... Perl, JSON and Python) Using GenAI tools (e.g., large language models, AI-assisted code generation ...

Are you looking to expand your chip design career and challenge yourself in a technical and multi ... Perl, JSON and Python) Using GenAI tools (e.g., large language models, AI-assisted code generation ...

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 ...

An important key aspect of this position is driving innovation through building generative AI ... Apple's chip design efforts. Minimum Qualifications Minimum of BS degree + 3 years of relevant ...

... chip (SoC). You'll ensure Apple products and services can seamlessly and efficiently handle the ... An important key aspect of this position is driving innovation through building generative AI ...

Showing results 41-60

Ai Chip Design Rtl information

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$80.5K

$139.4K

$182.5K

How much do ai chip design rtl jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ai chip design rtl in the United States is $139,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,000.00 and $136,000.00 per year, depending on experience, location, and employer.

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 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 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.

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Infographic showing various Ai Chip Design Rtl job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $139,368 per year, or $67 per hour.

Senior C++ Software Engineer - Chip Design Tools

Nvidia

Austin, TX

Full-time

Re-posted 13 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


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 July 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

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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