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Ai Chip Design Rtl Jobs in Utica, MI (NOW HIRING)

Fidus Systems

Hardware Designer

Detroit, MI · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

Familiarity with ESD, EMI, and RF design considerations * Ability to use Verilog, RTL, or HLS an asset * Embraces AI as part of a modern engineering toolkit Location and travel : Fully remote role ...

Stellantis

Senior Automotive Hardware Architect

Detroit, MI · On-site

$97K - $124K/yr

This role involves working closely with vehicle Architecture/system Design, safety engineer & Buyer ... Experience in RISC-V architecture, AI/ML, hypervisor technologies is a plus * Experience in ...

Stellantis

Senior Automotive Hardware Architect

Detroit, MI · On-site

$97K - $124K/yr

This role involves working closely with vehicle Architecture/system Design, safety engineer & Buyer ... Experience in RISC-V architecture, AI/ML, hypervisor technologies is a plus * Experience in ...

SpotOn

Product Manager (Payments)

Royal Oak, MI · On-site

$180K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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, ...

VML

Senior Copywriter

Detroit, MI · On-site

$60K - $140K/yr

VML is celebrated for its innovative and human first, award-winning work for blue chip client ... Thrive in cross-office, cross-capability environments, working seamlessly with strategy, design ...

All JobsAi Chip Design Rtl JobsAi Chip Design Rtl Jobs in Utica, MI

Ai Chip Design Rtl information

See Utica, MI salary details

$73.4K

$127.1K

$166.5K

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

As of Aug 16, 2026, the average yearly pay for ai chip design rtl in Utica, MI is $127,144.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,100.00 and $124,100.00 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 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 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.

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Ai Chip Design Rtl jobs near you

Mechanical Design PhD - CAD Expert - AI Trainer

Mercor

Detroit, MI • Remote

$85/hr

Full-time

Posted 6 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: CAD / Mechanical Design Writer - Engineering FRQ
Type: Contract
Compensation: $85/hour
Location: Remote

Role Responsibilities

  • Author original, free-response engineering problems grounded in real industry scenarios.
  • Write complete expert-level solutions for each problem.
  • Validate difficulty by running problems against three frontier language models until at least one fails.
  • Collaborate with AI research teams to improve training data quality and downstream performance.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • PhD in Mechanical Engineering, Aerospace Engineering, or Industrial Design.
  • 5+ years of hands-on professional/industry experience in production design roles.
  • Experience owning designs through GD&T, tolerance stacks, DFM, and drawing release.

Preferred

  • CSWP/CSWE certification.
  • Experience with well-known/blue-chip employers.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor