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Ai Chip Design Rtl Jobs in Maryland (NOW HIRING)

Wyetech

Hardware/Software Design Engineer 3

Annapolis, MD · On-site

$73.94 - $100.13/hr

This role combines hardware design responsibilities (FPGA RTL development, timing closure, resource ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

INSPYR Solutions

Front-End Developer

Sparks, MD · On-site

$70 - $80/hr

Testing tools (Jest, RTL, Cypress, Playwright) * UI libraries/design systems (Material UI, Chakra, Ant Design) * Next.js / SSR or SSG experience * AI feature development / prompt engineering ...

Marriott

FLEX Director, Solution Architect

Bethesda, MD · Remote

$67.25 - $88.50/hr

End to end infrastructure lifecycle experience from "chip to chiller" inclusive of servers, storage ... Evaluate emerging AI/GenAI technologies and define adoption strategies Solution Design ...

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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

Senior Hardware/ Software Design Engineer

Bigbear.ai

Annapolis Junction, MD • On-site

$114K/yr

Full-time

Posted 7 days ago

Job description

Residency
All applicants must currently reside in the United States
Overview
BigBear.ai is seeking an experienced senior HW/SW Design Engineer to join a small team to design, develop, construct, and test electronic hardware (FPGA) and software processing components for subsystems supporting RF communication and collection systems. This position requires expertise in FPGA development, digital signal processing implementation, and software-hardware integration to support mission critical requirements. The engineer will lead technical design efforts, implement DSP algorithms and associated technical components in FPGA hardware, integrate with existing Linux code bases, bridge FPGA to software stack connection, plus document those efforts.
What you will do
This role combines hardware design responsibilities (FPGA RTL development, timing closure, resource optimization) with software development (integration code, system-level software) to deliver complete subsystem solutions. The engineer will work to implement DSP and associated technical components in FPGA for code base integration.
What you need to have
  • Bachelor's degree plus 8-years of relevant experience or equivalent.
  • An Active TS/SCI with Poly
  • Strong experience required for FPGA coding, Digital Signal Processing theory & application, Interfacing FPGA code with existing code bases and software
  • Knowledge of signal processing blocks and related DSP components, Linux OS, coding ability in C and C++

What we'd like you to have
Additional experience with Vivado required; experience with Epiq Solution PDK preferred
Pay transparency
Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

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