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Remote Eda Engineer Jobs in Virginia (NOW HIRING)

Remote Eda Engineer information

What is a remote EDA engineer?

Remote EDA (Electronic Design Automation) Engineers are professionals who design, develop, and maintain electronic systems and hardware using specialized software tools, all while working from a remote location. Their work typically involves creating and verifying integrated circuits (ICs), printed circuit boards (PCBs), and other electronic components through EDA tools. Remote EDA Engineers collaborate with hardware and software teams, troubleshoot design issues, and ensure the functionality and efficiency of electronic products. The remote aspect allows them to work from anywhere, leveraging cloud-based EDA tools and communication platforms to stay connected with teams and projects.

What skills and qualifications are needed to thrive as a remote EDA engineer?

To thrive as a Remote EDA Engineer, you need a solid background in electrical engineering, digital design, and experience with ASIC/FPGA design flows, often supported by a relevant degree. Proficiency with EDA tools such as Cadence, Synopsys, or Mentor Graphics, and familiarity with scripting languages (e.g., Python, TCL) are typically required. Strong problem-solving skills, self-motivation, and effective remote communication are crucial soft skills for this role. These qualities enable efficient design verification, collaboration with distributed teams, and successful project delivery in a virtual environment.

How does a remote EDA engineer typically collaborate with distributed teams to ensure project success?

As a Remote EDA Engineer, collaboration with colleagues across different locations is essential to meet project milestones and maintain design quality. You’ll frequently use tools such as version control systems, collaborative design platforms, and regular video meetings to coordinate with hardware designers, verification engineers, and software teams. Clear communication and proactive status updates are crucial, as you may be working across time zones and need to ensure alignment on design goals and timelines. Building strong relationships with team members and leveraging comprehensive documentation helps prevent misunderstandings and streamlines the workflow.

What are the most commonly searched types of Eda Engineer jobs in Virginia?

The most popular types of Eda Engineer jobs in Virginia are:

What cities in Virginia are hiring for Remote Eda Engineer jobs?

Cities in Virginia with the most Remote Eda Engineer job openings:

Infographic showing various Remote Eda Engineer job openings in Virginia as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Artificial Intelligence/Machine Learning Engineer (AI/ML)

SAIC

Chantilly, VA • On-site, Remote

$100K - $200K/yr

Full-time

Retirement

Posted 12 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

79th of 225 rated it services


Job description

Job ID: 2615646

Location: Chantilly, VA, US

Date Posted: 2026-08-13

Category: Engineering and Sciences

Subcategory: Modeling/Sim Engr

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: TS/SCI with Poly

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is seeking an AI/ML Engineer to join our team conducting a wide variety of analyses in support of Government satellite programs in Earth orbits. Areas of work may include:

  • Recognizing different types of satellites based on observations of them using optical and radar sensors
  • Scheduling space surveillance sensors to collaboratively find, recognize and track maneuvering satellites
  • Deciding what activities satellites should undertake

Satellite designers and operations planners will leverage your analyses to inform critical decisions. As part of an agile team including experts in astrodynamics, sensors and AI/ML you will collaboratively simulate operations concepts at-scale with support from our cloud computing and supercomputing specialists. You can expect regular opportunities to meet with and optionally present findings to local senior government customers.

  • Use programming languages such as Python, C++, or others to leverage existing analysis tools and develop new ones
  • Conduct independent trade studies and technical assessments
  • Review and validate algorithms and results provided by external teams
  • Develop and optionally present actionable technical briefings

Salary range: $100,000 – $200,000, based on qualifications listed below, plus company 401(k) match and discounted employee stock purchase plan

Flexible schedule: On-site core collaboration hours from 10 am to 3 pm, options to work nine or eight days out of every two weeks

Stability: Our team supports a fully-funded prime contract with the government.  Additionally, our analysts routinely support other prime contracts as-necessary.  As a large company with a major presence in Northern Virginia, SAIC offers a broad array of work opportunities for employees locally as well as nationally

Growth and career progression: You will have access to mentoring by experts in AI/ML and many other fields. Senior staff will have opportunities to serve as principals and team leaders.  Managers will maintain open communications to ensure that you thrive

Detailed AI/ML job description:

  • Conduct Exploratory Data Analysis (EDA) to identify patterns for feature engineering
  • Design, develop, and evaluate machine learning algorithms, including supervised, unsupervised, and reinforcement learning
  • Build, train, and tune predictive models using state-of-the-art frameworks and tools
  • Collaborate with cross-functional teams to identify challenges, define problems, and translate them into actionable AI/ML solutions
  • Implement and optimize algorithms for tasks such as anomaly detection, prediction, classification, optimization, clustering, and natural language processing
  • Deploy machine learning models into production environments and establish pipelines for scalability and monitoring
  • Analyze model performance and identify opportunities for improvement by leveraging testing strategies and tuning hyperparameters

Qualifications

Required:

  • Education degree: Computer Science, Data Science, Applied Math, or a related technical field
  • Education and minimum professional experience for start of salary range: Bachelor’s plus two years, Master’s plus zero years, or PhD plus zero years
  • Experience: Astrodynamics
  • Programming: Python, C++, MATLAB, or similar
  • Clearance: Minimum of TS/SCI, should have current or be able to pass polygraph test

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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