1

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

We help organizations scale AI beyond the limits of traditional datacenters by enabling higher ... Chip or Immersion) and hyperscale facilities. * Fluid Dynamics Mastery: Deep knowledge of closed ...

React Developer

Houston, TX

$99K - $115K/yr

Architecture & Development: Design, build, and maintain low-latency, responsive frontend ... Solid experience with modern testing frameworks ( Jest / RTL ) and automated delivery pipelines.

Ai Chip Design Rtl information

See Spring, TX salary details

$71.6K

$124K

$162.4K

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

As of Jun 15, 2026, the average yearly pay for ai chip design rtl in Spring, TX is $124,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $121,000.00 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 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 are popular job titles related to Ai Chip Design Rtl jobs in Spring, TX? For Ai Chip Design Rtl jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Ai Chip Design Rtl jobs in Spring, TX look for? The top searched job categories for Ai Chip Design Rtl jobs in Spring, TX are:
What cities near Spring, TX are hiring for Ai Chip Design Rtl jobs? Cities near Spring, TX with the most Ai Chip Design Rtl job openings:

Sr. MEP Design Engineer

SUBMER

Houston, TX • Hybrid

Other

Medical, Retirement

Posted 10 days ago


Job description

Sr. MEP Design Engineer 

Location: Houston, TX [Hybrid] OR Bay area, California

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'll have:

We are seeking a specialized MSenior MEP Design Engineer to lead the research, prototyping, and execution of modular, hyperscale data center units. You will translate client and IT capacity requirements into efficient, scalable, and code-compliant modular packages. Your focus will be optimizing equipment layout in a modular data center (MDC container to survive physical transport, rigging, and rapid on-site deployment while reducing deployment timelines and cost.   

What you'll do:

  • Modular Integration: Engineer and optimize physical layouts for server racks, cable routing, and containment while eliminating spatial conflicts using BIM. Ensure structural enclosures maintain integrity during transport, lifting, and field installation.   
  • Direct Liquid Cooling Architecture: Design secondary fluid networks inside the container, including Cooling Distribution Units (CDUs), manifolds, and dripless quick-disconnect lines. 
  • Electrical System Design: Architect electrical paths capable of delivering 100 KW + per rack, detailing high-capacity busways, intelligent PDUs, and localized power protection. Create and audit single-line diagrams, schematic wiring, and cable schedules. 
  • Thermal Management: Design precise HVAC and cooling systems (e.g., in-row cooling, hot/cold aisle containment, liquid cooling). Use Computational Fluid Dynamics (CFD) to validate cooling performance under maximum thermal loads.   
  • Controls & Telemetry: Architect monitoring and telemetry systems, including DCIM (Data Center Infrastructure Management) networks and BMS (Building Management Systems).   
  • Manufacturing & Testing: Drive prototype development, create standard fabrication instructions, and conduct Factory Witness Testing (FWT) to ensure manufacturability.   
  • Compliance & Standards: Ensure designs comply with mission-critical industry and regulatory standards (e.g., NFPA 70, UL, ASHRAE guidelines) 

What you'll need:

  • BS or MS in Mechanical Engineering, Electrical Engineering, or a highly technical equivalent discipline. 
  • Experience: 8+ years in mission-critical data center design, with a strict emphasis on liquid cooling (Direct-to-Chip or Immersion) and hyperscale facilities.  
  • Fluid Dynamics Mastery: Deep knowledge of closed-loop fluid dynamics, structural piping design, materials compatibility, and anti-corrosion/filtration chemical treatments. 
  • Software Toolset: Mastery of Autodesk Revit, CREO or SolidWorks,  and specialized structural or piping software. Proficiency in thermal-fluid systems design, mechanical packaging, and system-level integration. 
  •  Excellent communication and project leadership skills across cross-functional engineering disciplines. 

Preferred Qualifications 

  • Licensure: Active Professional Engineer (PE) status or Chartered Engineer (CEng) equivalent. 
  • Hyperscale Credentials: Certified Mission Critical Professional (CMCP) or Uptime Institute Accredited Tier Designer (ATD). 
  • OEM Experience: Direct history integrating server architectures from Tier 1 AI hardware providers (e.g., NVIDIA DGX, AMD Instinct, or Intel Gaudi systems). 
  • Fluid loop expertise: Deep knowledge of ASHRAE Liquid Cooling Guidelines (W1 to W5 water temperature classifications). 
  • Manufacturing Knowledge: Experience working inside a prefabricated modular assembly factory or automotive/aerospace packaging plant. 

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.