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Ai Chip Design Rtl Jobs in Illinois (NOW HIRING)

Syntiant

Product Compliance Intern

Itasca, IL · On-site

$38K - $47K/yr

Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is ... Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ...

Syntiant

Product Compliance Intern

Itasca, IL · On-site

$38K - $47K/yr

Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is ... Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ...

1000heads

Associate Motion Director

Chicago, IL · Hybrid

$120K - $160K/yr

... leveraging AI tools in the motion design practice Proficiency in Adobe After Effects and Adobe ... We provide a fully integrated, end-to-end Social Transformation proposition to blue-chip clients ...

1000heads

Associate Motion Director

Chicago, IL · Hybrid

$120K - $160K/yr

... leveraging AI tools in the motion design practice Proficiency in Adobe After Effects and Adobe ... We provide a fully integrated, end-to-end Social Transformation proposition to blue-chip clients ...

Syntiant

Product Compliance Intern

Itasca, IL

$38K - $47K/yr

Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is ... Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ...

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 ...

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 ...

Excel Sports Management

Data Engineer

Chicago, IL

$100K - $115K/yr

... chip brands and marquee properties. Our success is rooted in our people, our high character ... Contribute to relational data design--tables and relationships, primary/foreign keys, and ...

Excel Sports Management

Data Engineer

Chicago, IL · On-site

$100K - $115K/yr

... chip brands and marquee properties. Our success is rooted in our people, our high character ... Contribute to relational data design-tables and relationships, primary/foreign keys, and ...

AECOM

Senior Consultant, 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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Ai Chip Design Rtl information

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

Hardware Machine Learning PhD Research Internship

IMC

Chicago, IL

$225K/yr

Full-time, Internship

PTO

Re-posted 23 days ago

Job description

We are deploying machine learning directly onto custom hardware - and we want you to help drive it forward. This PhD internship is an opportunity to work on research that has direct impact on IMC's work tackling open problems at the frontier of low-latency ML inference and hardware acceleration.

You'll work alongside IMC engineers in one of the most demanding low-latency computing environments in the world. You'll own a focused research project from start to finish, present your findings to the team, and leave behind a prototype or benchmark that we can build on.

Your Core Responsibilities

  • Architect and develop an ML focused research project based on real-world use cases
  • Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions
  • Track and evaluate emerging research in neural architecture search, machine learning systems and quantization methods, and determine what translates to measurable improvements in our systems
  • Present your project to the team, deepening our collective understanding of an area of ML acceleration
  • Gain hardware design fundamentals from skilled RTL developers and learn how they apply to our industry
  • Build skills to evaluate research not only from an academic perspective, but through real-world performance constraints, engineering costs, and industry impact

Your Skills and Experience

  • Currently enrolled in a PhD program in Electrical Engineering, Computer Science, Physics, or a related field
  • Solid understanding of hardware constraints and design trade-offs (e.g., pipelining, resource utilization, fixed-point arithmetic) that shape how ML models can be efficiently mapped onto FPGAs or custom ASICs
  • Experience with hardware fundamentals, whether through VHDL/SystemVerilog development, HLS tools, or ML-to-hardware frameworks like hls4ml, FINN, or Vitis AI
  • Understanding of machine learning fundamentals - neural network architectures, inference optimization, quantization techniques, ML frameworks such as PyTorch/TensorFlow
  • Proficiency in Python or similar languages for tooling, testing, and simulation
  • Strong communication skills and ability to work collaboratively across disciplines with both technical and non-technical teams

You may submit one application per role each year.  We strongly encourage you to focus on applying to a single role that best matches your skills and interests.  Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.

Base Salary: $225,000

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