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Ai Chip Design Rtl Jobs (NOW HIRING)

Apple

RTL Design Engineer

Waltham, MA

$162.50K - $286.40K/yr

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 ...

Cerebras Systems

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 ...

ServerLogic

Senior ASIC Design Engineer

Beaverton, OR · On-site

Demonstrate knowledge of Verilog for chip design and verification. * Must understand the ASIC flow from MAS to silicon including RTL design, verification, synthesis, timing constraints, GLS, FPGA ...

Etched

Front-End CAD Engineer

Cupertino, CA · On-site

$2K/mo

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 ...

Etched

Front-End CAD Engineer

Cupertino, CA

$2K/mo

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 ...

Etched

Front-End CAD Engineer

Cupertino, CA

$2K/mo

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 ...

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

As of May 30, 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 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 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 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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AI Chip Design Engineer - New College Grad 2026

AI Chip Design Engineer - New College Grad 2026

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 21 hours ago

Job description

NVIDIA's HW team is seeking highly motivated Engineers to help in the development and integration of AI capabilities into verification tasks. As a part of this team, you will play a key role in enhancing verification flows and developing AI agents to improve productivity across teams in terms of deployment of various verification techniques. You will work on building and maintaining core infrastructure for running these agents in production and ensuring their seamless and efficient performance. If you're passionate about the latest research and cutting-edge technologies shaping LLM and generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation.
What will you be doing:
  • 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.

What we are looking for:
  • 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.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most resourceful and talented people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 4, 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

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