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Ai Chip Design Rtl Jobs (NOW HIRING)

GPU Physical Design Engineer

Austin, TX

$134K - $138K/yr

This role requires a mix of strategic engineering along with hands-on experience in physical design and large chip integration, being responsible for implementing complete chip design from RTL to ...

GPU Physical Design Engineer

Austin, TX

$134K - $138K/yr

This role requires a mix of strategic engineering along with hands-on experience in physical design and large chip integration, being responsible for implementing complete chip design from RTL to ...

GPU Physical Design Engineer

Austin, TX · On-site

$134K - $138K/yr

This role requires a mix of strategic engineering along with hands-on experience in physical design and large chip integration, being responsible for implementing complete chip design from RTL to ...

GPU Physical Design Engineer

Austin, TX · On-site

$134K - $138K/yr

This role requires a mix of strategic engineering along with hands-on experience in physical design and large chip integration, being responsible for implementing complete chip design from RTL to ...

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 ...

Showing results 21-40

Ai Chip Design Rtl information

See salary details

$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.