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Entry Level Intelligent Systems Engineering Jobs in Virginia

The Intelligent Systems Division (ISD), one of the three research divisions of VTNSI, is seeking a ... Required Qualifications Master's degree in Computer Science, Computer Engineering, Electrical ...

... Intelligent Transportation Systems (ITS), and traffic operational analyses. Applicants must have ... Required Skills & Required Experience * BS in Civil Engineering or related * 0-3 years' experience

... Intelligent Transportation Systems (ITS), and traffic operational analyses. Applicants must have ... Engineering or related * 0-3 years' experience * Engineer in Training (EIT) certification is ...

In this role, you will design, develop, and deploy intelligent systems that solve complex problems ... programming (e.g., Python) • Knowledge of ML frameworks (e.g., TensorFlow) • Ability to ...

The role involves designing, developing, and deploying intelligent systems to solve complex ... programming (e.g., Python) • Knowledge of ML frameworks (e.g., TensorFlow) • Ability to ...

HPC Systems Engineer

Charlottesville, VA · On-site

$112K - $196K/yr

Parsons is looking for an HPC Systems Engineer to join our team! In this role you will support the ... Our intelligent employees drive the state of the art as they provide services and solutions in the ...

HPC Systems Engineer

Charlottesville, VA · On-site

$112K - $196K/yr

Parsons is looking for an HPC Systems Engineer to join our team! In this role you will support the ... Our intelligent employees drive the state of the art as they provide services and solutions in the ...

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Entry Level Intelligent Systems Engineering information

What is the difference between Entry Level Intelligent Systems Engineering vs Entry Level Robotics Engineering?

AspectEntry Level Intelligent Systems EngineeringEntry Level Robotics Engineering
Required CredentialsBachelor's in Engineering, Computer Science, or related field; knowledge of AI, machine learning, and systems integrationBachelor's in Mechanical, Electrical, or Robotics Engineering; knowledge of control systems, sensors, and automation
Work EnvironmentDesigning and developing intelligent systems, software integration, testing in labs or office settingsBuilding, testing, and maintaining robotic systems, often in labs or manufacturing environments
Industry UsageTech companies, AI firms, defense, and automation industriesManufacturing, automation, aerospace, and research labs

Entry Level Intelligent Systems Engineering focuses on developing and integrating AI-driven systems, while Entry Level Robotics Engineering emphasizes designing and building robotic devices. Both roles require a strong technical background and often overlap in skills like programming and systems analysis, but they serve different primary functions within technology and engineering sectors.

What are the key skills and qualifications needed to thrive as an Entry Level Intelligent Systems Engineer, and why are they important?

To thrive as an Entry Level Intelligent Systems Engineer, you need a solid background in computer science, mathematics, and engineering principles, often evidenced by a relevant bachelor's degree. Familiarity with programming languages (such as Python or C++), machine learning frameworks, and simulation tools is typically required. Strong analytical thinking, teamwork, and effective communication skills help you collaborate on complex projects and solve interdisciplinary problems. These competencies are crucial for designing, implementing, and optimizing intelligent systems that meet real-world needs.

What is an intelligent systems engineering salary?

Entry-level intelligent systems engineering salaries typically range from $70,000 to $90,000 annually, depending on location, education, and industry. Professionals in this field often work with programming, robotics, and AI tools, with higher salaries available as experience and certifications increase.

What is an entry level intelligent systems engineer?

An entry level intelligent systems engineer is a professional who works on designing, developing, and implementing intelligent systems, such as artificial intelligence, machine learning algorithms, and robotics, typically at the start of their career. They often assist senior engineers in creating software or hardware systems that can perceive, reason, and make decisions. Their responsibilities might include coding, testing, debugging, and collaborating with multidisciplinary teams to solve real-world problems using intelligent technologies.

What types of projects and technologies do entry-level Intelligent Systems Engineers typically work on in their first year?

Entry-level Intelligent Systems Engineers often start by contributing to projects involving robotics, machine learning models, or embedded systems. They may be responsible for tasks such as developing algorithms, testing prototypes, analyzing system performance, or troubleshooting hardware/software integration issues. Team collaboration is common, especially with senior engineers, data scientists, and software developers, providing excellent learning opportunities. Exposure to a variety of technologies and real-world applications helps new engineers quickly build foundational skills and understand the broader impact of intelligent systems in industries like healthcare, automotive, or manufacturing.

What engineer makes $500,000 a year?

While most entry-level intelligent systems engineering roles do not pay $500,000 annually, senior engineers with extensive experience, specialized skills in AI, machine learning, or robotics, and leadership responsibilities can reach or exceed this level through bonuses, stock options, and profit sharing. Such compensation is typically associated with senior or executive-level positions in large technology companies or startups.

Which 5 jobs will survive AI?

Entry Level Intelligent Systems Engineering roles are likely to persist as they require specialized knowledge in designing, developing, and maintaining AI systems, which involves skills in programming, data analysis, and understanding complex algorithms. Jobs that involve creative problem-solving, human interaction, and oversight of AI applications, such as AI system testers, technical support specialists, and AI ethics analysts, are also expected to remain in demand. Continuous learning and certification in relevant tools like machine learning frameworks can help ensure job security in this evolving field.

Are there any entry-level AI jobs?

Entry-level AI jobs, such as positions in intelligent systems engineering, are available for candidates with foundational knowledge in programming, data analysis, and machine learning. These roles often require familiarity with tools like Python, TensorFlow, or similar frameworks and may include internships or junior positions designed for recent graduates or those new to the field.
What are the most commonly searched types of Intelligent Systems Engineering jobs in Virginia? The most popular types of Intelligent Systems Engineering jobs in Virginia are:
What are popular job titles related to Entry Level Intelligent Systems Engineering jobs in Virginia? For Entry Level Intelligent Systems Engineering jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Entry Level Intelligent Systems Engineering jobs in Virginia look for? The top searched job categories for Entry Level Intelligent Systems Engineering jobs in Virginia are:
What cities in Virginia are hiring for Entry Level Intelligent Systems Engineering jobs? Cities in Virginia with the most Entry Level Intelligent Systems Engineering job openings:
4402 Software Development Intern with Security Clearance

4402 Software Development Intern with Security Clearance

Procession Systems

West Mclean, VA • On-site

$15.25 - $20.25/hr

Other

Re-posted 4 days ago


Job description

OVERVIEW: We are seeking a motivated Software Development Intern with a strong interest in Artificial Intelligence and Machine Learning to join our team. This internship offers hands-on experience working on real-world AI/ML projects, collaborating with experienced engineers and data scientists to design, build, and deploy deep intelligent systems. GENERAL DUTIES: * Assist in the design, development, and implementation of AI/ML models and applications * Write clean, efficient, and maintainable code in languages such as Python, Java, or C++ * Work with large datasets to preprocess, analyze, and extract meaningful insights * Support the training, testing, and evaluation of machine learning models * Collaborate with cross-functional teams to integrate ML solutions into production systems * Participate in code review, debugging, and performance optimization * Document processes, methodologies, and technical findings REQUIRED QUALIFICATIONS: * Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field * Basic understanding of machine learning concepts (e.g., supervised vs. unsupervised learning, model evaluation) * Proficiency in at least one programming language (preferably Python) * Familiarity with common ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn) * Strong problem-solving skills and attention to detail * Ability to work independently and as part of a team DESIRED QUALIFICATIONS: * Experience with data analysis and visualization tools (e.g., Pandas, Matplotlib) * Knowledge of deep learning, natural language processing, or computer vision * Exposure to cloud platforms (e.g., AWS, Azure, or GCP) * Familiarity with version control systems (e.g., Git) * Previous project or coursework in AI/ML CLEARANCE: * U.S. Citizenship required

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About Procession Systems

Sourced by ZipRecruiter

Procession Systems, based in Reston, Virginia, United States, is an industry leader operating in the Information Technology Services sector. Established to address complex business and technology challenges, the company delivers innovative tech solutions for government entities, primarily focusing on systems integration and software development. Procession Systems takes pride in their commitment to quality, responsiveness, and results, geared towards improving public sector services and saving taxpayer dollars.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Reston, VA, US

Year founded

2016

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