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Ai Chip Design Rtl Jobs in Washington (NOW HIRING)

Acquisition NexGen

Digital Design Engineer

Manassas, VA · On-site

$136K/yr

Understanding of System-On-Chip (SoC) design with embedded processor on FPGA. * Ability to perform application programming on embedded processor is a plus. * Identifies opportunities to apply AI for ...

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 ...

Neuroscale AI

Forward Deployed Engineer

Reston, VA · On-site

Our momentum is further fueled by blue-chip partners and programs, including the NVIDIA Inception ... You will write code, design integrations, build prototypes, configure AI workflows, troubleshoot ...

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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
Infographic showing various Ai Chip Design Rtl job openings in Washington as of June 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.

Digital Design Engineer

Acquisition NexGen

Manassas, VA • On-site

$136K/yr

Other

Posted 10 days ago

Job description

Digital Design Engineer

Location: Manassas, VA (On-Site)

Clearance Required: Active Department of Defense Secret Security Clearance

Citizenship: U.S. Citizenship Required


Basic Qualifications

  • Bachelor's degree in Electrical or Computer Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 5 years of relevant experience; or
  • Master's degree plus a minimum of 3 years of relevant experience.


Job Description

Duties and Tasks

  • Design of digital electronics including Field Programmable Gate Array (FPGA) development and circuit design.
  • Responsible for definition, design, verification and documentation.
  • Determines architecture, system simulation, and detailed design approach.
  • Defines module interfaces and all aspects of device design and simulation.
  • Evaluates the process flow including but not limited to high level design, synthesis, place and route, timing and power utilization.
  • Creates test and simulation plans that establish functional criteria.
  • Verifies test results and analyzes performance.
  • Performs verification and validation on target hardware.
  • Provides leadership on inter-disciplinary design efforts.


Knowledge, Skills and Abilities

  • Solid proficiency and able to perform all responsibilities associated with the position.
  • Knowledge and experience with all phases of circuit card design.
  • Grasps and applies new information quickly.
  • Solid ability to handle more complex assignments.
  • Shows initiative on assignments, exercises independent judgment, and professionally executes projects with little direction.
  • Ability to understand and explain designs using non-technical terms.
  • Ability to reverse engineer existing designs and understand/update functionality for new requirements.
  • Ability to work with Systems and Software Engineering to ensure system-level functionality.
  • Understanding of System-On-Chip (SoC) design with embedded processor on FPGA.
  • Ability to perform application programming on embedded processor is a plus.
  • Identifies opportunities to apply AI for continuous improvement and innovation.


Workplace Options

This position is fully on-site.

While on-site, you will be a part of the Manassas, VA facility.


Clearance Requirements

Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.

Apply