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Ai Chip Design Rtl Jobs in Baltimore, MD (NOW HIRING)

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Ai Chip Design Rtl information

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$80K

$138.5K

$181.3K

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

As of Aug 2, 2026, the average yearly pay for ai chip design rtl in Baltimore, MD is $138,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,100.00 and $135,100.00 per year, depending on experience, location, and employer.

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 Baltimore, MD as of July 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $138,481 per year, or $66.6 per hour.

Digital Verification Engineer 2 - 23340 (FS Poly Required)

Huntington Ingalls Industries

Fort George G Meade, MD • On-site

$77K - $127K/yr

Full-time

Re-posted 28 days ago

Huntington Ingalls Industries rating

7.5

Company rating: 7.5 out of 10

Huntington Ingalls Industries

Based on 147 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 74,752 frontline employees who took The Breakroom Quiz

Job description

Requisition Number: 23340
Required Travel: 0 - 10%
Employment Type: Full Time/Salaried/Exempt
Anticipated Salary Range: $77,379.00 - $127,000.00
Security Clearance: TS/SCI with Poly
Level of Experience: Entry Level
Employee Referral Amount: $3,000.00
Meet HII's Mission Technologies Division
Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you.
Job Description
Do you enjoy challenging digital design verification problems? HII Mission Technologies is seeking out-of-the-box thinkers who can uncover difficult-to-activate corner-case bugs and vulnerabilities in the gate-level netlists of FPGA and ASIC designs.
Candidates for this position will contribute to the team by utilizing industry-standard functional verification tools (e.g., Questa, VCS, Verdi), logical equivalence tools (e.g., OneSpin 360EC), and proprietary software tools to verify design function and integrity. Common verification targets include embedded processors, DSPs, filters, transceivers, data links, systems-on-chip, and decoders. Experience in the cybersecurity, electronic warfare, encryption, radar, and/or satellite communications domains is a plus.
Full-Scope Poly required at the time of application
*This position is upon contract award
Essential Job Responsibilities
Candidates will develop models, transactors, stimuli, monitors, and test benches for simulating and uncovering hidden behaviors in gate-level digital netlists. Candidates will be expected to produce clear documentation and test cases demonstrating identified bugs or deviations from the specification. Effective collaboration with teammates to produce cohesive results and create improved processes is required.
Minimum Qualifications
2 years relevant experience with Bachelors in related field; 0 years experience with Masters in related field; or High School Diploma or equivalent and 6 years relevant experience.
• US Citizenship
• Active DoD Top Secret/SCI with Full Scope Poly at the time of consideration
• Degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field
• Experience with modern digital verification and modeling languages: SystemVerilog, SystemC, C/C++, Matlab, etc.
• Directed, constrained-random, and assertion-based verification techniques at the gate, interface, and transaction levels
• Experience with modern, commercial-grade, functional simulators (e.g., Xcelium, Incisive, Questa, VCS, Riviera-Pro, etc)
• Writing scripts for batched verification tasks: Python, Bash, Tcl, make files.
• Revision control systems for maintaining, sharing, and deploying code: Perforce, git, SVN, etc.
• Familiarity with debugging and isolating issues with gate-level netlists
Preferred Requirements
• Familiarity with object-oriented, embedded, assembly, or machine code programming
• Software or hardware reverse-engineering (e.g., IDA Pro, Ghidra)
• FPGA design or verification
• Familiarity with testing and verification techniques for IC trust, assurance, or security
• Experience with logical equivalence checkers (e.g., OneSpin 360-EC, ESP, Conformal EC)
• Experience with formal ABV
Physical Requirements
May require working in an office, industrial, shipboard, or laboratory environment. Capable of climbing ladders and tolerating confined spaces and extreme temperature variances.
The listed salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, HII's Mission Technologies division takes a variety of factors into consideration which include, but are not limited to, the role's function and a candidate's education or training, work experience, and key skills.
Do You Need Assistance?
If you need a reasonable accommodation for any part of the employment process, please send an e-mail to buildyourcareer@hii-co.com and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1-844-849-8463 for assistance. Press #3 for HII Mission Technologies.

Working at Huntington Ingalls Industries

About Huntington Ingalls Industries, in their own words

From Huntington Ingalls Industries

Our 44,000-strong team includes skilled tradespeople; artificial intelligence and machine learning experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large employers, we are a values and ethics driven organization that puts people's safety and well-being first. Here you'll find a collaborative environment, competitive benefits, and valuable educational and training programs that span our shipbuilding apprentice schools in Virginia and Mississippi to tuition reimbursement programs that support continual career growth at every stage of your career.

Our values of integrity, safety, respect, engagement, responsibility and performance are the foundation of HII's ethical culture that inspires employees to do the right thing each day, regardless of the circumstances.

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