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Ai Chip Design Rtl Jobs in Texas (NOW HIRING)

Mythic

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 ...

Mythic

Senior RTL Design Engineer

Austin, TX

$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 ...

Nvidia

ASIC Design Engineer - Hardware

Austin, TX · Hybrid

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 ...

Apple

SoC Machine Learning Design Engineer

Austin, TX

$184K - $324K/yr

... our chip-design process. - You'll play a crucial role in developing generative AI and machine learning solutions for optimizations in RTL Design, Verification, and Power/Performance/Area efforts ...

Apple

SoC Machine Learning Design Engineer

Austin, TX

$184K - $324K/yr

... our chip-design process. - You'll play a crucial role in developing generative AI and machine learning solutions for optimizations in RTL Design, Verification, and Power/Performance/Area efforts ...

Apple

GenAI Physical Synthesis Engineer

Austin, TX

$150K - $277K/yr

... our RTL-to-GDS implementation flows. You will be directly responsible for creating AI-powered ... AI applications for EDA or chip design Minimum Qualifications Experience with GenAI frameworks ...

Apple

GenAI Physical Synthesis Engineer

Austin, TX

$150K - $277K/yr

... our RTL-to-GDS implementation flows. You will be directly responsible for creating AI-powered ... AI applications for EDA or chip design Minimum Qualifications Experience with GenAI frameworks ...

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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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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Ai Chip Design Rtl jobs near you
Senior RTL Design Engineer

Senior RTL Design Engineer

Mythic

Austin, TX • On-site

$120K - $225K/yr

Full-time

Re-posted 12 days ago

Job description

We're hiring experienced RTL Design Engineers to play a key role in designing and implementing the components that will bring our next-generation AI processors to life.
 
About Us:
Mythic is building the future of AI computing with breakthrough analog technology that delivers 100 the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications - whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from -40 C to +125 C, making it ideal for industrial, automotive, aerospace, and defense.
 
We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets.
 
The salary range for this position is $120,000-$225,000+ annually. Actual compensation depends on experience, skills, qualifications, and location.
 
RTL Design at Mythic:
At Mythic, our RTL design team is at the heart of transforming our custom digital dataflow architecture into working silicon. This architecture incorporates a novel scheduling subsystem, high-performance interconnect fabric, and advanced DMA engines. Together with our Analog Compute Engines, these critical technologies enable unprecedented efficiency for modern AI workloads. RTL engineers take ownership of microarchitecture and RTL implementation, designing high-performance, low-power logic that drives our breakthrough AI hardware.
 
The team works closely with architecture, custom analog IP, compiler, verification, emulation, and post-silicon groups to ensure every component integrates seamlessly into the full system. Because today's AI workloads push the limits of performance, memory, and efficiency, our RTL engineers apply both creativity and rigor to deliver designs that meet aggressive PPA (performance, power, area) goals while ensuring correctness. We welcome engineers at all levels who are excited to tackle challenging design problems and play a key role in building the next generation of AI compute hardware.
Responsibilities
  • Design and implement RTL for Mythic's next-generation AI processor.
  • Contribute to the development of a novel digital dataflow architecture, including a sophisticated scheduling subsystem, high-performance interconnect fabric, and advanced DMA engines.
  • Develop and optimize high-performance, low-power components such as datapaths, controllers, memory subsystems, and interconnects.
  • Collaborate with architects and verification engineers to define microarchitecture and ensure functional correctness.
  • Drive timing closure by working closely with synthesis and physical design teams.
  • Participate in design reviews and contribute to improving RTL coding practices and methodologies.
Requirements
  • Bachelor's, Master's, or Ph.D. degree in Electrical Engineering, Computer Engineering, or Computer Science.
  • 8+ years of industry experience in RTL design, microarchitecture, and architecture development.
  • Solid understanding of computer architecture fundamentals (pipelines, caches, coherence, memory hierarchies).
  • Hands-on experience with one or more of the following subsystems: scheduling fabrics, high-performance interconnects, DMA engines, memory controllers, or datapath/control logic.
  • Proficiency in Verilog/SystemVerilog and industry-standard RTL coding guidelines.
  • Familiarity with timing constraints, physical design considerations, and EDA flows.
  • Hands-on experience with simulation, synthesis, linting, and static timing analysis tools.
  • Strong problem-solving and communication skills with ability to work in cross-functional teams.
Preferred Qualifications
  • Familiarity with network-on-chip (NoC) architectures.
  • Expertise in low-power design techniques (clock gating, power gating, multi-voltage domains).
  • Experience with timing closure in advanced technology nodes and collaboration with physical design teams.
  • Strong skills in performance modeling and trade-off analysis (PPA optimization).
  • Hands-on experience with emulation/FPGA prototyping for early RTL validation.
  • Familiarity with AI, DSP, or other parallel compute architectures.
  • Strong scripting ability (Python or similar) for design automation and productivity.
At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.
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