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Ai Chip Design Rtl Jobs in Texas (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 · 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

$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 ...

FE RTL Infrastructure - CAD Engineer

Austin, TX · On-site

$164K/yr

... chip (SoC). You'll ensure Apple products and services can seamlessly and efficiently handle the ... An important key aspect of this position is driving innovation through building generative AI ...

An important key aspect of this position is driving innovation through building generative AI ... chip design efforts. Preferred Qualifications Experience with Front-End EDA tools such as Clock ...

An important key aspect of this position is driving innovation through building generative AI ... chip design efforts. Preferred Qualifications Experience with Front-End EDA tools such as Clock ...

An important key aspect of this position is driving innovation through building generative AI ... chip design efforts. Preferred Qualifications Experience with Front-End EDA tools such as Clock ...

Mythic is building the future of AI computing with breakthrough analog technology that delivers ... Familiarity with network-on-chip (NoC) architectures. * Expertise in low-power design techniques ...

Mythic is building the future of AI computing with breakthrough analog technology that delivers 100 ... Familiarity with network-on-chip (NoC) architectures. * Expertise in low-power design techniques ...

Senior RTL Design Engineer

Austin, TX · On-site

$120K - $225K/yr

Mythic is building the future of AI computing with breakthrough analog technology that delivers 100 ... Familiarity with network-on-chip (NoC) architectures. * Expertise in low-power design techniques ...

Experience in RTL design (Verilog), verification (SystemVerilog), System-On-Chip design ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

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Ai Chip Design Rtl information

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 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 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 cities in Texas are hiring for Ai Chip Design Rtl jobs? Cities in Texas with the most Ai Chip Design Rtl job openings:
Infographic showing various Ai Chip Design Rtl job openings in Texas as of June 2026, with employment types broken down into 94% Full Time, 4% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.
GPU Physical Design Engineer

GPU Physical Design Engineer

Apple

Austin, TX

$134K - $138K/yr

Full-time

Posted 11 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Do you love creating sophisticated solutions to highly complex challenges? As part of our Silicon Technologies group, you’ll help design and manufacture our next-generation, high-performance, power-efficient GPU! You’ll ensure Apple products and services can seamlessly handle the tasks that make them beloved by millions! Joining this group means crafting and building the technology that fuels Apple’s devices. Together, we enable our customers to do all the things they love with their devices. 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 tapeout.
Description
- Work closely with the FE team to understand chip architecture and drive physical aspects early in design cycle.
- Drive outstanding PD construction and optimization recipes for performance, power and Area (PPA).
- Work on pioneering designs in the latest technology nodes.
- Collaborate to drive methodologies and “best known methods” to streamline PD work, come up with guidelines and checklists, drive execution, and supervise progress.
- Drive the work among place and route engineers, set goals and breakthroughs, plan short and long-term work, understand dependencies between different domains like top, STA, block PnR.
- Lead and resolve design and flow issues related to physical design, identify potential solutions and drive execution.
Preferred Qualifications
Masters degree preferred.
We value ability in all aspects of ASIC implementation including Synthesis, DFT insertion, Floorplanning, Clock and Power distribution, Place and Route and all aspects of timing, electrical and physical signoff.
Experience working with EDA tools and exposure to their APIs.
Use design knowledge and innovative physical construction and optimization flows to push performance, power, and Area (PPA) of GPU designs.
Knowledge of multi-voltage, power gated, and power retention concepts will be an advantage.
Practical knowledge with hierarchical design approach, top-down design, budgeting, timing, and physical convergence will be an asset.
Minimum Qualifications
Bachelors degree in Engineering or Computer Science required.
Experience or coursework in one or more of the following areas: physical design, synthesis, DFT or clocking.
Experience or coursework with digital logic design, RTL, CMOS transistor logics or VLSI concepts.
Experience with scripting languages such as TCL, Python, Perl or shell scripting.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976