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Ai Chip Design Rtl Jobs in West Springfield, MA (NOW HIRING)

AI Architect, Manager

Hartford, CT · On-site +1

$63.50 - $83.75/hr

Estimate, solution, design, and help drive and deliver AI deals. * Help build AI assets and enable ... Experience with AI (algorithms, AI-on-chip, AI hardware accelerators), Machine Learning (frameworks ...

Ai Chip Design Rtl information

See West Springfield, MA salary details

$80.2K

$138.9K

$181.9K

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

As of May 28, 2026, the average yearly pay for ai chip design rtl in West Springfield, MA is $138,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,500.00 and $135,500.00 per year, depending on experience, location, and employer.

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.

What cities near West Springfield, MA are hiring for Ai Chip Design Rtl jobs? Cities near West Springfield, MA with the most Ai Chip Design Rtl job openings:
AI Architect, Manager

AI Architect, Manager

Accenture

Hartford, CT • On-site, Remote

$63.50 - $83.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

47th of 424 rated business services


Job description

The AI Architect is responsible for designing and developing scalable AI solutions aligned to a business strategy and benefits case as well as supporting as an AI technical advisor and SME to help our clients scale their AI programs. The AI Architect will need to understand how various parts of the business processes, operating systems, and application architectures work together to design a specific AI solution that fits a client's environmental requirements. The AI Architect takes ownership of technology related aspects of AI across the Microsoft ecosystem.

The AI Architect will adhere to Avanade's AI methodologies and industry best practices and will be accountable for recommending appropriate technology solutions, delivering architectural/technical solution designs, and client proposals. To be successful in this role you will need to be confident in leveraging our global network (across Accenture, Microsoft, & our Partners), working together and openly sharing ideas, knowledge, and resources. You are proficient in creating AI solutions that enable clients to see the whole picture and provide insightful and accurate analysis that helps to build successful businesses.

Day to day, you will:

  • Facilitate team, client meetings and pre-sales presentations.

  • Partner closely with our AI, IoT, and Intelligent Automation team and Solution Architects to translate the customer's business requirements to define AI & IoT value proposition and solution scope.

  • Analyze client processes, identify AI opportunities, and recommend approach based on analysis and client maturity.

  • Estimate, solution, design, and help drive and deliver AI deals.

  • Help build AI assets and enable internal and external stakeholders while growing capability and delivering high-quality solutions for clients.

  • Assist in delivery as AI SME, Solution Architect, or Technical Architect

  • Provide continuous advice, best practices, and quality assurance to AI project teams related to delivery approach and strategy.

.

Skills/ Experience:

  • You're an organized problem-solver with a talent for business, whose knowledge and experience helps turn business needs into solutions. You guide and support your team, whether at home or around the globe, to provide successful and accessible GenAI solutions that solve client problems.

  • Management Consulting & SI Experience is strongly preferred.

  • Experience with AI (algorithms, AI-on-chip, AI hardware accelerators), Machine Learning (frameworks such as TensorFlow, CUDA, ONNX, Caffe, etc. preferred), Computer Vision and other Azure Data and AI services.

  • Applying data and analytics to business use cases

  • Engineering background preferred in related areas - programming, custom software development, app dev.

  • Data profiling, cataloging and mapping to enable the design and build of technical data flows

  • Use validated methods to solve business problems using Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration.

  • Experience in preparing data for consumption

  • .Net (Software Engineering)

  • Python (Analytics/Software Engineering)

  • LLM solution architecture & solution development (Generative AI / Azure OpenAI)

  • Time-Series Analytics (Analytics)

  • Real-time or near real-time streaming data analytics (Analytics)

  • Understanding of data science and machine learning principles (Analytics)

  • DevOps, MLOps, SDLC, Agile Development

  • Azure AI Services (including Azure AI Foundry, Azure OpenAI, Azure Cognitive Services) and Azure ML.

Preferred Experience/Capabilities

  • You probably have a master's degree or Ph.D. in a quantitative field such as computer science, applied mathematics, statistics or machine learning - or an equivalent combination of education and experience. You're likely to be a MSFT Certified Data Science Associate and you have been in a similar professional position for around five to seven years.

  • Cross talent community skillset, one resource that has all these skills.

  • Strong management consultant

  • Strong software or engineer/architect

  • Decent data scientist

  • Decent infrastructure architect

  • Enterprise Architect

  • Can talk openly and easily about AI use cases in multiple industries (Manufacturing, Healthcare, Retail, Resources, etc.)

  • Strong communication and customer facing skills.

  • Capable of writing solid code

  • Comfortable in a hands-on position

  • Capable of seeing the big picture, and breaking it down to it's discreet components (being a good architect)

  • Travel as needed.

Compensation at Avanade varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Avanade provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted on 02/15/2026 and open for at least 30 days.

Avanade offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

See more information on our benefits here: U.S. Employee Benefits | Avanade

California - $150,400 - $194,000

Cleveland - $139,200 - $174,000

Colorado - $139,200 - $174,000

District of Columbia - $155,000 - $194,000

Illinois - $150,400 - $188,000

Maryland - $155,000 - $194,000

Massachusetts - $155,000 - $194,000

Minnesota - $139,200 - $174,000

New York / New Jersey - $164,800 - $200,000

Washington - $155,000 - $194,000

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