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Remote Eda Jobs in Virginia (NOW HIRING)

USAA

Decision Science Analyst Senior

Chesapeake, VA · On-site +1

$85K - $113K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... EDA). * Integrates/transforms disparate data sources and determines the appropriate data hygiene ...

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Remote Eda information

What is a remote EDA?

A Remote EDA (Electronic Design Automation) professional is someone who uses specialized software tools to design, verify, and simulate electronic circuits and systems, all while working remotely. These professionals collaborate with engineering teams to develop integrated circuits (ICs), printed circuit boards (PCBs), and other electronic components from a remote location. Remote EDA roles require expertise in EDA tools, strong problem-solving skills, and effective communication to ensure project success despite not working on-site. This setup allows companies to access skilled talent globally and enables professionals to work from anywhere.

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

To thrive as a Remote EDA Engineer, you need a strong background in electrical engineering, digital/analog circuit design, and experience with ASIC/FPGA development, typically supported by a relevant degree. Proficiency in EDA tools such as Cadence, Synopsys, or Mentor Graphics, and familiarity with scripting languages like Python or TCL, are commonly required. Excellent problem-solving, self-motivation, and clear communication skills are vital for effective collaboration and independent work in a remote environment. These combined skills ensure efficient design workflows, high-quality deliverables, and seamless teamwork across distributed teams.

What are common challenges faced by remote EDA engineers, and how can they be overcome?

Remote EDA engineers often face challenges such as collaborating effectively across different time zones, managing access to large datasets or computing resources, and maintaining clear communication with design and verification teams. To overcome these, it's important to utilize version control systems, secure remote access tools, and project management platforms that facilitate asynchronous updates. Regular virtual meetings and clear documentation practices also help ensure alignment and smooth progress on complex design projects.

What is the difference between Remote Eda vs Remote Data Analyst?

AspectRemote EdaRemote Data Analyst
Required CredentialsTypically requires knowledge of EDA tools (e.g., Python, R, SQL)Requires skills in data analysis, statistics, and visualization tools
Work EnvironmentPrimarily focused on data exploration and cleaningAnalyzes data to generate reports and insights
Industry UsageCommon in data science, analytics, and research rolesWidely used across business, finance, marketing, and healthcare sectors
Search & Comparison IntentOften compared for data preparation skillsCompared for insights and reporting capabilities

Remote Eda specialists focus on exploring and cleaning data to prepare it for analysis, while Remote Data Analysts interpret data to generate reports and insights. Both roles require strong analytical skills but differ in their primary focus and tools used.

What are popular job titles related to Remote Eda jobs in Virginia?

For Remote Eda jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Eda jobs in Virginia look for?

The top searched job categories for Remote Eda jobs in Virginia are:

What cities in Virginia are hiring for Remote Eda jobs?

Cities in Virginia with the most Remote Eda job openings:

Remote Eda jobs near you

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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