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Ai Chip Design Rtl Jobs in Dolton, IL (NOW HIRING)

YO AI Labs

Hardware Expert - Remote

Chicago, IL · Remote

$50 - $100/hr

... support an AI training project involving technical drawings and precise 3D modeling. Key ... AutoCAD * CAD * Python * RTL * 3D Mechanical Modeling * Computational Geometry Qualifications

Edgehog Trading

Junior FPGA Developer

Chicago, IL · On-site

Design, implement, and verify RTL logic in Verilog or SystemVerilog targeting ultra-low-latency ... Use AI tools to accelerate your development workflow - RTL review, testbench generation, debugging ...

DRW

Senior FPGA Engineer (Algo)

Chicago, IL · On-site

$150K - $250K/yr

Strong skills in RTL logic design (Verilog) and verification; 2+ years of experience writing ... Experience with the design of system-on-chip (SOC) architectures, memory & processor subsystems ...

Koch Industries

Sr. Mechanical Engineer

Lisle, IL · On-site

$100K - $130K/yr

Lead the design and development of cold plates and thermal management solutions for AI accelerator and CPU chip cooling applications * Collaborate with cross-functional teams, including mechatronics ...

viaPhoton

CPO Business Unit Leader

Chicago, IL

... manufacturing for the AI era. We design and deliver custom-engineered, end-to-end fiber ... integration, fiber-to-chip interconnect, and high-volume manufacturing * Form strategic ...

Koch Industries

Sr. Mechanical Engineer - Thermal

Lisle, IL · On-site

$100K - $130K/yr

... AI data center thermal management solutions, this position will operate in a unique collaboration ... This role leads the mechanical design, product validation, and manufacturing development of ...

Koch Industries

Staff Simulation Engineer

Lisle, IL · On-site

$100K - $130K/yr

... AI data center thermal management solutions, this position will operate in a unique collaboration ... Support design of experiments (DOE) for prototype validation testing correlated against simulation ...

Tempus

Bioinformatics Scientist

Chicago, IL · On-site +1

Recent advancements in underlying technology have finally made it possible for AI to impact ... Clonal Hematopoiesis (CHIP) Disambiguation: Design and integrate machine learning classifiers and ...

AECOM

Manager, Advisory

Chicago, IL · On-site

Chicago, IL. Building off AECOM's considerable expertise in infrastructure design and ... Leveraging AI tools to conduct baseline assessments and secondary research. * Conducting ...

SpotOn: Sales

Product Manager (Payments)

Chicago, IL · On-site

$180K - $225K/yr

From our award-winning point-of-sale to AI-powered profit tools, everything we do helps operators ... Define how each payment media type is presented and accepted -chip, contactless, digital wallets, ...

AECOM

Manager, Advisory

Chicago, IL · On-site

Chicago, IL. Building off AECOM's considerable expertise in infrastructure design and ... Leveraging AI tools to conduct baseline assessments and secondary research. * Conducting ...

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All JobsAi Chip Design Rtl JobsAi Chip Design Rtl Jobs in Dolton, IL

Ai Chip Design Rtl information

See Dolton, IL salary details

$76.9K

$133.1K

$174.3K

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

As of Sep 1, 2026, the average yearly pay for ai chip design rtl in Dolton, IL is $133,114.00, 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 an AI Chip Design RTL engineer?

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 skills and qualifications are needed to thrive as an AI Chip Design RTL engineer?

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 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 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 cities near Dolton, IL are hiring for Ai Chip Design Rtl jobs?

Cities near Dolton, IL with the most Ai Chip Design Rtl job openings:

Ai Chip Design Rtl jobs near you
Infographic showing various Ai Chip Design Rtl job openings in Dolton, IL as of August 2026, with employment types broken down into 4% Internship, 78% Full Time, 12% Part Time, and 6% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $133,114 per year, or $64 per hour.

Hardware Expert - Remote

Chicago, IL • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$50 - $100/hr

Full-time

Posted 5 days ago

Job description

Hardware Expert – CAD & Mechanical Design

Role Type: Contractor
Location: Global, Fully Remote
Schedule: Flexible, ~15 hours/week

Role Summary

We are seeking skilled Hardware Experts with strong CAD, mechanical design, Python, and computational geometry experience to support an AI training project involving technical drawings and precise 3D modeling.

Key Responsibilities
  • Interpret engineering drawings and create accurate 3D CAD models.
  • Develop complex mechanical geometry using CAD tools.
  • Use Python for CAD automation and programmatic modeling.
  • Export and validate STEP and other solid-model formats.
  • Verify dimensions, geometry, topology, and physical properties.
  • Troubleshoot and refine CAD models for accuracy.
Required Skills
  • AutoCAD
  • CAD
  • Python
  • RTL
  • 3D Mechanical Modeling
  • Computational Geometry
Qualifications
  • Strong experience with CAD and mechanical design.
  • Good Python and 3D spatial reasoning skills.
  • Experience interpreting technical drawings and validating CAD models.
  • Familiarity with FreeCAD, Fusion 360, SolidWorks, Onshape, CadQuery, or similar tools is a plus.

No specific degree or years of experience required. Practical expertise and relevant experience are valued.