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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 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 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.

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Ai Chip Design Rtl jobs near you
Mechanical Engineer - Data Center Liquid Cooling

Mechanical Engineer - Data Center Liquid Cooling

Barge Design Solutions

Knoxville, TN

Other

Posted 14 days ago

Job description

Barge Design Solutions is seeking a Mechanical Engineer with experience in high-density data center cooling systems to support the rapidly growing mission-critical sector. This role will focus on the design and integration of advanced cooling infrastructure supporting modern data centers and AI/HPC workloads, including both traditional chilled water systems and emerging liquid cooling technologies.

The ideal candidate understands how IT thermal loads translate into mechanical infrastructure, and has experience designing hydronic systems, heat rejection systems, and high-density cooling solutions used in mission-critical environments.

This position offers the opportunity to work on next-generation data center facilities supporting cloud, AI, and high-performance computing infrastructure.

What You Get:

Meaningful Project Work - Contribute to mission-critical infrastructure supporting the global digital economy.

Technical Growth - Work on advanced cooling technologies including liquid cooling and high-density compute environments.

Collaborative Engineering Culture - Work alongside electrical, controls, and structural engineers solving complex infrastructure challenges.

Competitive Compensation - We recognize top talent with competitive pay and benefits.

Growth & Stability - Join a well-established engineering firm with a strong presence in the data center sector.

Flexibility & Work-Life Balance - We support a flexible environment that promotes both professional growth and personal well-being.
Responsibilities:

Support the mechanical design of data center cooling systems in a multidisciplinary engineering environment.

Develop and support design of:

  • Chilled water distribution systems
  • Pumping systems
  • Heat exchangers
  • Dry coolers and cooling towers
  • Hydronic piping systems

Assist in evaluating and integrating high-density cooling technologies, including:

  • Direct-to-chip liquid cooling
  • Coolant Distribution Units (CDUs)
  • Rear-door heat exchangers
  • Secondary coolant loops
  • Immersion cooling systems

Perform engineering calculations including:

  • Cooling load calculations
  • Pump head calculations
  • Hydraulic analysis of piping systems
  • Heat exchanger sizing

Support development of:

  • Mechanical drawings
  • P&IDs
  • Equipment specifications
  • Basis-of-design documents

Apply