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Eda Design Jobs in Washington (NOW HIRING)

Next Step Systems

Senior FPGA Engineer

Linthicum, MD · On-site

$128K - $164K/yr

Responsibilities: - Participate in all phases of FPGA design flow, from concept to mass production ... EDA tool-based checks. - Work with backend/implementation teams to address synthesis, timing ...

Avid Technology Professionals

AI Engineer

Annapolis, MD · On-site

Design and Development: Lead the design and development of AI-driven solutions from conception to ... Conduct Exploratory Data Analysis (EDA) on diverse datasets (both structured and unstructured) to ...

ERP SAVVY LLC

MuleSoft Integration Architect

Hanover, MD · On-site

$70.50 - $90.75/hr

... EDA. * Deep experience with MuleSoft-based solutions. * Exposure to cloud-native integration services (Azure, AWS, or GCP). * Strong knowledge of API management, design, development, and security ...

Amches, Inc.

2906 AI Engineer

Annapolis, MD · On-site

$110 - $170/hr

Design and Development: Lead the design and development of AI-driven solutions from conception to ... Conduct Exploratory Data Analysis (EDA) on diverse datasets (both structured and unstructured) to ...

InterImage

2906 AI Engineer

Annapolis, MD · On-site

Lead the design and development of AI-driven solutions from conception to deployment, ensuring ... Conduct Exploratory Data Analysis (EDA) on diverse datasets (both structured and unstructured) to ...

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Eda Design information

What is EDA design?

EDA design refers to Electronic Design Automation, which involves using specialized software tools to design, analyze, and verify electronic systems such as integrated circuits (ICs) and printed circuit boards (PCBs). EDA designers use these tools to create complex chip architectures, optimize layouts, and ensure that designs meet performance and reliability standards. The EDA process streamlines development, reduces errors, and accelerates time-to-market for electronic products. Professionals in this field often work closely with hardware engineers and manufacturers.

What are some common challenges EDA design engineers face when working on complex chip projects?

EDA (Electronic Design Automation) Design engineers frequently encounter challenges such as managing large-scale circuit complexity, ensuring design accuracy under tight deadlines, and integrating new technologies into existing workflows. Collaboration is often required with cross-functional teams, including verification, layout, and software engineers, to resolve design bottlenecks and meet project specifications. Staying updated with evolving EDA tools and methodologies is also crucial for maintaining productivity and ensuring high-quality deliverables.

What are the key skills and qualifications needed to thrive as an EDA design engineer, and why are they important?

To thrive as an EDA Designer, you need a strong background in electrical engineering, digital/analog circuit design, and experience with ASIC/FPGA development, often supported by a degree in electrical or computer engineering. Proficiency in EDA tools such as Cadence, Synopsys, Mentor Graphics, and familiarity with hardware description languages like VHDL or Verilog are typically required. Attention to detail, problem-solving ability, and effective communication help EDA Designers excel in cross-functional engineering teams. These skills and qualities ensure efficient, accurate, and innovative electronic design solutions that meet complex technical and project requirements.

What is the difference between Eda Design vs PCB Designer?

AspectEda DesignPCB Designer
CredentialsTypically requires a degree in electrical engineering or related fieldRequires similar electrical engineering background, often with certifications in PCB design
Work EnvironmentDesigning electronic schematics and layouts, often using CAD toolsFocusing on creating detailed PCB layouts and ensuring manufacturability
Industry UsageUsed across electronics, consumer devices, and industrial equipmentPrimarily in electronics manufacturing and product development

While both roles involve electronic design, Eda Design encompasses the broader process of creating electronic schematics and systems, whereas PCB Designer specializes in laying out printed circuit boards. The roles often overlap, but Eda Design is more comprehensive, including system-level design, while PCB Designer focuses on the physical layout of circuit boards.

What does an EDA design engineer do?

An EDA (Electronic Design Automation) design engineer develops and tests electronic circuit designs using specialized software tools. They create schematics, perform simulations, and optimize layouts to ensure functionality and manufacturability of electronic systems, often working closely with hardware and software teams. Proficiency in EDA tools like Cadence or Synopsys and knowledge of digital and analog circuit design are essential for this role.

What job categories do people searching Eda Design jobs in Washington look for?

The top searched job categories for Eda Design jobs in Washington are:

What cities in Washington are hiring for Eda Design jobs?

Cities in Washington with the most Eda Design job openings:

Eda Design jobs near you
Infographic showing various Eda Design job openings in Washington as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.

AI Engineer (40% Telework) with Security Clearance

MasterPeace Solutions, Ltd.

Fort George G Meade, MD • On-site

Other

Re-posted 22 days ago

Job description

Required technical skills and responsibilities include:
• Design and Development: Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture. This includes prototyping new models, writing production-quality code, and maintaining existing AI systems.
• Collaboration and Communication: Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts. Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders.
• Data Analysis and Modeling: Conduct Exploratory Data Analysis (EDA) on diverse datasets (both structured and unstructured) to inform the data model, identify data quality issues, and determine optimal input formats for AI models.
• Model Building and Evaluation: Develop, train, and evaluate a variety of machine learning models, ensuring they meet performance and reliability requirements. Implement robust testing and validation strategies to ensure models are accurate and unbiased.
• Cloud Platforms: Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale.

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