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Ai Chip Design Rtl Jobs in Dallas, TX (NOW HIRING)

... RTL * Partner with systems and analog design teams to develop and refine digital design specifications that meet performance, power, and area targets * Conduct chip architecture trade-off analysis to ...

Digital IC Design Engineer

Dallas, TX · On-site

$123K/yr

... RTL * Partner with systems and analog design teams to develop and refine digital design specifications that meet performance, power, and area targets * Conduct chip architecture trade-off analysis to ...

Develop highquality RTL in Verilog/SystemVerilog using scalable, parameterized design techniques ... AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application ...

Staff SoC DFT Engineer, HBM

Richardson, TX · On-site

$123K - $127K/yr

... full-chip levels while partnering closely with register-transfer level (RTL) design and SoC ... AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application ...

Experience with design generators, templated RTL, or hardware construction frameworks * Exposure to AI/ML techniques applied to hardware design or verification workflows * Experience building or ...

... AI-assisted techniques * Develop high-quality SystemVerilog RTL, ensuring compatibility with ... Apply AI/ML techniques to improve design productivity, including code generation assistance ...

Showing results 21-40

Ai Chip Design Rtl information

See Dallas, TX salary details

$79.6K

$137.9K

$180.5K

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

As of Aug 8, 2026, the average yearly pay for ai chip design rtl in Dallas, TX is $137,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $134,500.00 per year, depending on experience, location, and employer.

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.

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 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 popular job titles related to Ai Chip Design Rtl jobs in Dallas, TX? For Ai Chip Design Rtl jobs in Dallas, TX, the most frequently searched job titles are:
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Infographic showing various Ai Chip Design Rtl job openings in Dallas, TX as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $137,867 per year, or $66.3 per hour.

Principal Delivery Consultant, Emerging Tech

Amazon

Dallas, TX • Remote

Full-time

Posted 29 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,066 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with semiconductor and high-tech manufacturing customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Principal Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer

You'll work closely with stakeholders to gather requirements, assess current EDA and manufacturing infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Your focus will span EDA workload migration, smart manufacturing, digital twins, and generative AI applications for chip design and verification. You'll partner with technology leaders to assess their current state, architect cloud-native solutions, and deliver transformative engagements across the entire chip value chain.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud

We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Designing and implementing complex, scalable, and secure AWS solutions for semiconductor customers - including high-performance computing environments for chip design, simulation, and verification
- Providing technical guidance and troubleshooting support throughout project delivery, incorporating smart manufacturing solutions such as industrial data fabric, digital twins, and computer vision for defect detection
- Collaborating with stakeholders to gather requirements and propose effective migration strategies for EDA workloads and manufacturing systems
- Acting as a trusted advisor to customers on semiconductor industry trends, emerging technologies, and best practices for cloud adoption
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts - including reference architectures and AI/ML workflows for accelerating the design-to-fab process
A day in the life
Your morning might start with a working session alongside a semiconductor customer's engineering team, helping them optimize their EDA compute environment for faster tape-out cycles

After lunch, you're whiteboarding a computer vision architecture for automated wafer inspection with a solutions architect and account manager. Later, you're refining a proof-of-concept that uses generative AI to accelerate chip verification workflows. Between customer calls, you're contributing to a reference architecture that will help the next customer get to value faster.
About the team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences

Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform.

We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
AWS values curiosity and connection

Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer

That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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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