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Ai Chip Design Rtl Jobs in Michigan (NOW HIRING)

Kla

Senior AI Infrastructure Engineer

Ann Arbor, MI · On-site

$105K - $180K/yr

Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is ... This is your opportunity to shape the future of AI in the semiconductor industry! We're looking for ...

Orbotech

Senior AI Infrastructure Engineer

Ann Arbor, MI

$105K - $180K/yr

Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is ... This is your opportunity to shape the future of AI in the semiconductor industry! We're looking for ...

KLA Corporation

Sr. PCBA Design Engineer

Ann Arbor, MI · On-site

$105K - $137K/yr

Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is ... AI algorithms that power the innovative capabilities that KLA is recognized for! By joining the ...

KLA Corporation

Sr. PCBA Design Engineer

Ann Arbor, MI · On-site

$105K - $137K/yr

Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is ... AI algorithms that power the innovative capabilities that KLA is recognized for! By joining the ...

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Ai Chip Design Rtl information

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.
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Ai Chip Design Rtl jobs near you
Application Engineer, Data Center Hardware/Firmware

Application Engineer, Data Center Hardware/Firmware

Utilidata

Ann Arbor, MI • On-site

$160K - $195K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Be an early applicant

Job description

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid — bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them.
We are looking for an Application Engineer, Data Center Hardware/Firmware to join our Technical Programs team and serve as the technical bridge between Karman and our customers' hardware environments. This is a founding role in a new Application Engineering function, shaping how we take customers from contract to production. The role works directly with customers and partners with our Hardware, Firmware, and Product teams to design, build, and validate Karman integrations — including the hardware integration surfaces required for new Karman form factors. We are looking for a hands-on builder who can translate customer requirements into concrete designs and POCs, drive them to production, and communicate effectively with both engineering teams and customer stakeholders. We are looking for candidates who are mission-driven, technically versatile, and thrive in fast-paced, high-ownership environments. This position is based onsite at our company headquarters in Ann Arbor, Michigan, with flexibility for occasional remote work. Candidates will be expected to collaborate cross-functionally with remote teams based across the country.
Responsibilities
  • Partner with Product and GTM teams pre-contract to assess customer hardware environments and build proof-of-concept integration layers that demonstrate Karman's value
  • Design and implement the hardware integration layer between Karman and customer infrastructure; review both Utilidata and customer hardware designs to identify integration points and gaps
  • Write and modify embedded firmware to adapt Karman to each customer's platform
  • Own end-to-end technical execution for customer hardware integrations, from kick-off through design, validation, release, and deployment
  • Lead customer-facing technical calls, on-site visits, and requirements reviews with customer engineering, IT, and operations teams
  • Create and maintain customer integration artifacts, including HW Design Review Checklists, Validation and Test Checklists, Installation and Power-Up Guides, HW Release Timelines, KPI trackers, and After-Action Reports
  • Develop HW Design Collaterals covering layout, schematic, power, IO, signal integrity, thermal, and RFI requirements
  • Produce SOM and metrology bring-up documentation, including HW Bring-Up and Power-Up Guides and design reviews for schematics, layouts, and test results
  • Track hardware KPIs and risks; escalate and coordinate resolution across engineering teams
  • Take an AI-first approach to automating processes and generating integration and deployment artifacts
  • Participate in roadmap meetings, sprint planning, and design reviews with the HW team to maintain current product knowledge
  • Serve as the feedback loop between field deployments and core engineering, translating integration learnings into product improvements
  • Build out repeatable processes, templates, and best practices to scale the Application Engineering function
Minimum Qualifications
  • 8+ years of hands-on hardware and embedded firmware engineering experience, with a demonstrated ability to independently design, implement, and validate hardware solutions from concept through production
  • Bachelor's degree in Electrical Engineering, computer science or similar field OR equivalent training and on the job experience 
  • Proven experience designing hardware integration points, including PCB-level design, interface definition, and system bring-up, owned end-to-end
  • FPGA development experience spanning both hardware design/RTL and firmware
  • Proficiency writing, modifying, and debugging embedded firmware independently
  • Working knowledge of embedded and data center interfaces and protocols (e.g., I2C, UART, PCIe, Ethernet)
  • Ability to read and critically review schematics, PCB layouts, and test results
  • Demonstrated ability to produce structured engineering artifacts, including design review checklists, test plans, validation procedures, and deployment documentation
  • Strong communication skills with the ability to present technical content to both engineering and non-engineering audiences
  • High learning agility in fast-moving, early-stage product environments
  • Experience in data center infrastructure, power electronics, or energy management hardware
  • Willingness to travel  for customer kick-offs, on-site reviews, and deployment validation
Enhanced Qualifications (Nice to Have)
  • Master’s degree in Electrical Engineer or related field
  • Familiarity with System-on-Module (SOM) platforms or metrology hardware
  • Knowledge of power quality, thermal management, or power sequencing
  • Experience with embedded Linux, BSP bring-up, or Yocto-based OS customization
  • Familiarity with on-device messaging and serialization patterns (e.g., ZeroMQ, Protobuf, gRPC, REST APIs)
  • Prior experience in a customer-facing technical role such as Field Application Engineer or systems integration engineer
Salary Range: $160,000 to $195,000 base compensation depending on experience plus stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands.
Location: This position is based onsite at our company headquarters in Ann Arbor, Michigan, with flexibility for occasional remote work.
Our Commitments
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to:
  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

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