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Ai Chip Design Rtl Jobs in Idaho (NOW HIRING)

RTL Design: Author, review, and maintain synthesizable RTL (SystemVerilog) for all soft IP control ... AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application ...

Apply power-, clock-, and implementation-aware RTL design practices to minimize silicon risk ... AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application ...

Apply power-, clock-, and implementation-aware RTL design practices to minimize silicon risk ... AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application ...

Own and drive RTL design for DRAM digital and mixed-signal IP from specification through silicon ... AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application ...

Own and drive RTL design for DRAM digital and mixed-signal IP from specification through silicon ... AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application ...

SMTS Design Verification Engineer

Boise, ID · On-site

$129K - $158K/yr

... RTL before silicon is committed. This is a full-ownership DV role. You will write the DV plan ... Develop and maintain the full-chip DV plan covering all soft IP blocks and top-level integration ...

... RTL verification, STA, or Timing Accurate Verilog * Experience with silicon validation, test chip ... AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application ...

Staff Design Verification Engineer, DRAM

Boise, ID · On-site

$129K - $158K/yr

Create new methods and flows to guide DRAM chip design from verification view. * Create ... Focused experience and proficiency in work with LLMs and Agentic AI tools Preferred Qualifications

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Ai Chip Design Rtl information

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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Infographic showing various Ai Chip Design Rtl job openings in Idaho as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

Senior CAD Engineer, ASIC Development Infrastructure, RTL Design

Amazon

Boise, ID • On-site

Full-time

Re-posted 8 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,023 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced innovative devices like Fire tablets, Fire TV and Amazon Echo


What will you help us create.
The Role: As a Senior Computer Aided Design (CAD) Engineer, you will be part of an advanced ASIC development team that is creating the semiconductor designs which will power millions of new Amazon devices. You will work closely with multi-disciplinary groups including Design, Verification, Physical Design, and Emulation teams to build and maintain a leading-edge ASIC development infrastructure that enables and accelerates their work.


Key job responsibilities
* Design and maintain ASIC development flows spanning RTL-to-GDSII, including RTL generation, simulation, synthesis, place & route, timing analysis, DRC/LVS, and sign-off
* Deploy and configure EDA tools from vendors (Synopsys, Cadence, Mentor/Siemens, etc.) across compute infrastructure
* Develop automation and CI/CD/regression to streamline design tasks, reduce manual effort, and improve consistency
* Troubleshoot tool issues and work with vendors to resolve bugs, performance bottlenecks, or licensing problems
* Work with IT teams to optimize compute and storage strategies to enhance engineering efficiency
* Create and maintain documentation for tool usage, flow methodologies, and best practices
* Utilization of AI tools to accelerate troubleshooting and monitoring of design flows
A day in the life
Your day starts by reviewing overnight build results and addressing any tool flow failures that blocked design teams. You'll troubleshoot issues, working directly with EDA vendors when needed to resolve bugs or performance bottlenecks. Mid-morning, you might deploy an updated version of a critical tool across the compute infrastructure, then spend time developing automation to streamline repetitive tasks

Afternoons often involve collaborating with Design, Verification, and Physical Design teams to optimize their workflows, and working with the Design Technology team on large-scale tool objectives. Throughout the day, you'll balance immediate firefighting with longer-term infrastructure improvements-your ultimate goal is making a large team of chip design engineers more efficient through seamless tool flows that power millions of Amazon devices.


What Amazon employees say

Pay

Benefits

Hours and flexibility

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Get the full story on Breakroom


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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US