ZipRecruiter

Log In

1

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

ABM

Director of AI Engineering

Sugar Land, TX

$143K - $205K/yr

The Director of AI Engineering is responsible for leading the research, design, development, and ... With over $8 billion in annual revenue and a blue-chip client base, ABM delivers innovative ...

mthree

Senior Software Engineer

Houston, TX · On-site

$116K - $154K/yr

Responsibilities : • Design and build scalable, secure, and high-performance systems . • Write ... Machine Learning / Generative AI, Prompt Engineering, Agentic AI systems • Writing and ...

ON.energy

Senior Electrical Engineer, Data Centers

Houston, TX · On-site

$102K - $133K/yr

As AI demand surges past what the grid and traditional data centers can support, ON.energy provides ... Lead architecture reviews with project engineering teams, data center operators, and chip / server ...

All JobsAi Chip Design Rtl JobsAi Chip Design Rtl Jobs in Houston, TX

Ai Chip Design Rtl information

See Houston, TX salary details

$76.9K

$133.1K

$174.3K

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

As of Jul 27, 2026, the average yearly pay for ai chip design rtl in Houston, TX is $133,092.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,900.00 and $129,900.00 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.
What are popular job titles related to Ai Chip Design Rtl jobs in Houston, TX? For Ai Chip Design Rtl jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Ai Chip Design Rtl jobs in Houston, TX look for? The top searched job categories for Ai Chip Design Rtl jobs in Houston, TX are:
What cities near Houston, TX are hiring for Ai Chip Design Rtl jobs? Cities near Houston, TX with the most Ai Chip Design Rtl job openings:
Ai Chip Design Rtl jobs near you

MEP Design Engineer - HPC/AI Data Centers

SUBMER

Houston, TX

$192K/yr

Other

Medical, Retirement

Posted 11 days ago

Job description

About Submer

Submer designs and delivers end-to-end AI datacenter infrastructure built around industry-leading liquid cooling.

We help organizations scale AI beyond the limits of traditional datacenters by enabling higher density, greater efficiency and lower environmental impact - accelerating time-to-AI from first deployment to full production.

What impact you will have

We are seeking an MEP Design Engineer - HPC/AI Data Centers to lead the full Mechanical, Electrical, and Plumbing (MEP) design and delivery of high-performance computing (HPC) and AI data centers. This role owns the integrated MEP architecture for large-scale (100-300 MW) facilities and modular data center (MDC) deployments that scale into 50-300 MW HPC/AI sites. You will ensure seamless coordination across mechanical, electrical, and plumbing systems to support next-generation GPU clusters, with a strong emphasis on NVIDIA Grace Blackwell (GB300) and Vera Rubin (VR200) reference architectures.

This is a hands-on technical leadership position ideal for an engineer who can own end-to-end MEP design for mission-critical, high-density environments.

What you'll do

  • Lead the holistic MEP design, specification, and optimization for hyperscale and modular HPC/AI data centers, ensuring integrated performance, reliability, efficiency, and scalability.
  • Design electrical systems including MV/LV distribution, switchboards, overhead busways, circuit breakers, transformers (ML/VL), PDUs, grounding, protection, BESS, UPS, and generators.
  • Oversee mechanical systems focused on high-density liquid cooling (direct-to-chip, immersion, CDUs, in-row/in-rack solutions), CRAC/CRAH, heat rejection, airflow management, and redundancy for 100+ kW racks.
  • Manage plumbing and fluid systems, including coolant distribution, primary/secondary cooling loops, leak detection, piping, pumps, filtration, and integration with facility water systems or closed-loop designs.
  • Architect modular data center solutions (1-2 MW containers/pods) that efficiently aggregate into larger 50-300 MWHPC/AI sites, emphasizing standardization, rapid deployment, and future-proofing.
  • Deliver MEP designs tailored to NVIDIA GB300 (Grace Blackwell) and VR200 (Vera Rubin) Superpod/reference architectures, addressing rack power (~120 kW+), liquid cooling manifolds, power smoothing, high-current delivery, and thermal management requirements.
  • Perform system-level studies (power, thermal, hydraulic, CFD) and ensure compliance with NEC, NFPA, ASHRAE, IEEE, Uptime Institute, and local codes.
  • Collaborate with architecture, structural, IT, and construction teams throughout design, procurement, construction, commissioning, and handover phases.
  • Optimize for energy efficiency, sustainability, capacity planning, fault tolerance, and total cost of ownership in AI factory environments.
  • Develop standards, create and review drawings/specifications, troubleshoot issues, and mentor junior MEP engineers.
  • Create internal and customer-facing MEP specifications and explain/discuss with technical and non-technical customers.

What you'll need

  • Bachelor's degree (Master's preferred) in Mechanical Engineering, Electrical Engineering, or a related MEP-focused discipline. PE license strongly preferred.
  • 5+ years of progressive experience in MEP engineering for mission-critical facilities, with at least 3-5 years in large-scale data centers or equivalent high-density environments.
  • Demonstrated ability to design complete HPC/AI data centers across all three MEP disciplines (Mechanical, Electrical, Plumbing/Cooling).
  • Proven track record with HPC/AI data centers at 100-300 MW scale and modular deployments (1-2 MW units scaling to 50-300 MW sites).
  • Strong knowledge of NVIDIA Grace Blackwell (GB300) and Vera Rubin (VR200) architectures, including integrated power, cooling, and fluid system requirements.
  • Expertise in high-density liquid cooling, Grid-to-Rack power distribution, all MEP equipment in single-line power specification, 13.8kV/34.5kV to IT white spaces with 480V AC and/or  800V DC power distribution, BESS integration, MV/LV power distribution, busways, and critical infrastructure redundancy (N+1, 2N, etc.). 
  • Proficiency with relevant design and analysis tools (e.g., ETAP, Revit, AutoCAD, CFD, SKM).
  • Excellent leadership, communication, and cross-disciplinary collaboration skills.
Preferred Qualifications
  • Experience with 800V DC architectures, advanced power smoothing, and sustainable cooling technologies.
  • Experience with modular data center design, structural integrity, and shipping/logistics of MDCs.
  • Background at hyperscale operators, AI infrastructure providers, or modular data center projects.
  • Familiarity with TIA-942, ASHRAE TC 9.9, and high-performance computing facility standards.
  • Prior involvement in full lifecycle projects from concept through commissioning and operations.

What we offer

  • Attractive compensation package reflecting your expertise and experience.

  • Medical Insurance Plan.

  • 401k Employee volunteer contribution Plan.

  • A great work environment characterized by friendliness, international diversity, flexibility, and a hybrid-friendly approach.

  • Youll be part of a fast-growing scale-up with a mission to make a positive impact, offering an exciting career evolution.

Our job titles may span more than one job level. The actual base pay is dependent on a number of factors, such as transferable skills, work experience, business needs and market demands.

Our inclusive responsibility

Submer is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under applicable law.

#MDC

Apply