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Ai Chip Design Rtl Jobs (NOW HIRING)

Eridu AI

ASIC Chip Design Lead

Saratoga, CA · On-site

$250K - $280K/yr

Today's AI performance is frequently limited by communication bottlenecks. Eridu introduces ... Own RTL blocks end-to-end from specification through signoff * Make timing-, area-, and power-aware ...

Mercor

RTL Design Engineer - AI Tools

San Francisco, CA · Remote

$100 - $175/hr

Evaluate digital chip design workflows to enhance AI model training and evaluation . * Design and verify RTL components using Verilog/SystemVerilog . * Collaborate with architecture, verification ...

OMNIVISION

SoC Design Engineer

Santa Clara, CA · On-site

$156K - $160K/yr

Perform chip bring-up, validation and debugging. Design, integrate and validate data pipeline ... Arithmetic circuit design related to general datapath circuits, ML and AI circuits. * Arithmetic ...

OMNIVISION

SoC Design Engineer

Santa Clara, CA · On-site

Perform chip bring-up, validation and debugging. Design, integrate and validate data pipeline ... Arithmetic circuit design related to general datapath circuits, ML and AI circuits. * Arithmetic ...

OMNIVISION

SoC Design Engineer

Santa Clara, CA · On-site

$156K - $160K/yr

Perform chip bring-up, validation and debugging. Design, integrate and validate data pipeline ... Arithmetic circuit design related to general datapath circuits, ML and AI circuits. * Arithmetic ...

Google

RTL Design Engineer, TPU

Sunnyvale, CA · On-site

Experience with chip management, clocking, reset, and peripherals like I2C, SPI, UART, etc ... About the job In this role, you'll work to shape the future of AI/ML hardware acceleration. You ...

Google

Senior RTL Design Engineer, TPU

Sunnyvale, CA · On-site

Experience with chip management, clocking, reset, and peripherals like I2C, SPI, UART, etc ... About the job In this role, you'll work to shape the future of AI/ML hardware acceleration. You ...

Apple

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 ...

Apple

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 ...

Apple

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 ...

Apple

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 ...

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All JobsAi Chip Design Rtl Jobs

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 Jul 10, 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 a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning engineer, or AI architect, often requiring advanced skills in deep learning, neural networks, and hardware design like RTL for AI chips. Such roles usually involve leadership, extensive experience, and may include stock options or bonuses, with compensation reflecting expertise and impact on AI hardware development.

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.

Will AI replace RTL designers?

AI chip design RTL (Register Transfer Level) development involves creating hardware descriptions that require expert knowledge of digital logic and hardware architecture. While AI tools can assist in automating certain tasks like code generation and verification, they are unlikely to fully replace RTL designers, as human expertise is essential for complex decision-making, optimization, and ensuring design correctness. RTL designers will continue to play a critical role in the chip design process, often working alongside AI-assisted tools to improve efficiency and innovation.

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.

Which 3 jobs will survive AI?

AI Chip Design RTL professionals are likely to continue in demand due to the specialized technical skills required for hardware description languages like Verilog and VHDL, which are less easily automated. Jobs involving complex problem-solving, system integration, and hardware-software interface design, such as hardware engineers, system architects, and verification engineers, are also expected to persist. These roles require domain expertise and critical thinking that complement AI automation capabilities.

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 salary of RTL design?

The salary for an RTL (Register Transfer Level) design engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced engineers with specialized skills in hardware description languages like VHDL or Verilog can earn higher salaries.

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.
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Ai Chip Design Rtl jobs near you
Infographic showing various Ai Chip Design Rtl job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $139,368 per year, or $67 per hour.

Staff Chip Design Engineer (Redwood City)

Cognichip

Redwood City, CA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Overview

At Cognichip, we’re not just building AI—we’re redefining what’s possible at the nexus of silicon design and machine learning. As a Staff Chip Design Engineer on our team, you’ll tackle real-world scientific and coding challenges—defining the processes for dataset collection, curation, and enhancement. You’ll fuse knowledge of chip design and ML into end-to-end silicon design flows. If you thrive on pushing the envelope of research and translating cutting-edge ideas into production-grade systems, this is your stage.

What you\'ll do
  • Serve as the domain experts, embedding chip design experience into a team creating AI chip design assistants
  • Bridge research and production. Collaborate closely with ML and SW teams to integrate experimental models into scalable pipelines.
  • Define data-processing pipelines, training orchestration, and evaluation frameworks to accelerate iteration on large-scale experiments.
  • Analyze and iterate. Dive deep into large datasets—experimental logs, simulation outputs, and user interaction traces—to diagnose model behavior, surface failure modes, and drive evidence-based improvements.
  • Publish and present. Document findings in technical reports, contribute to open-source projects, and present work internally (and externally, when appropriate) to help shape the broader AI research community.
What You Bring
  • Masters in Computer Science, Electrical Engineering, or a closely related field
  • 10-15 years of experience in RTL design, or a combination of design and verification
  • Proficiency in SystemVerilog and Python languages
  • Excellent written and verbal communication skills, esp to convey chip design knowledge to scientists/engineers in other fields
  • Comfortable working in a dynamic, research-heavy startup environment
  • Demonstrated coursework or project experience in machine learning and/or deep learning
Bonus Points
  • Personal projects showcasing innovation, creativity, and continuous learning
  • Knowledge of industry-standard communication protocols (SPI, I2C, AXI, Ethernet, PCIe, DDR5, etc)
  • Knowledge of open-source tools and contribution practices (Verilator, CocoTB, Yosys, OpenSTA, etc)
  • Experience with multiple areas of chip flow (RTL design, validation, synthesis, physical design, etc)
  • Experience with FPGA development (Vivado, Vitis, Quartus, etc), front end, IP integration, and/or back end
What it's like here

We’re a fast-moving AI startup with a collaborative, high-trust culture. You’ll work with top-tier engineers, scientists, and builders—solving hard problems that sit at the intersection of cloud computing, AI, and chip design. We value technical excellence, ownership, and the freedom to experiment. If you’re excited to build the future of engineering, you’ll feel right at home.

Logistics

This position is available in Silicon Valley’s Redwood Shores, CA. We have a hybrid schedule with four days in office, one day remote. Cognichip accepts applications that need H1B transfer.

How to apply

Don’t meet every single requirement? Feel over-qualified? That’s okay—if you\'re excited about our mission, we’d still love to hear from you. We are growing fast and need a world class team of various experience levels.

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