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Internship Computational Neuroscience Software Engineer Jobs in Virginia

Lynk

Software Engineer

Chantilly, VA · On-site

What You'll Do As a Software Engineer at Elveo, you will be at the heart of designing, building ... Experience building and debugging software (professional, internship, or complex academic projects)

Visa

Software Engineer

Ashburn, VA · On-site

$88K/yr

We are looking for a curious and motivated early-career Software Engineer who is excited to work at ... Familiarity with Generative AI concepts through coursework, internships, or projects (e.g., LLM ...

Lynk

Software Engineer

Chantilly, VA · On-site

$90 - $135/hr

What You'll Do As a Software Engineer at Lynk, you will be at the heart of designing, building, and ... Experience building and debugging software (professional, internship, or complex academic projects)

SZNS Solutions LLC

Software Engineer

Reston, VA · On-site

... AI, data engineering, blockchain, and cloud-native software application development." We are ... Internship or personal projects showcasing your development skills. Benefits * Competitive salary ...

SZNS Solutions LLC

Software Engineer

Reston, VA

... AI, data engineering, blockchain, and cloud-native software application development." We are ... Internship or personal projects showcasing your development skills. Benefits * Competitive salary ...

SZNS Solutions LLC

Software Engineer

Reston, VA · On-site

... AI, data engineering, blockchain, and cloud-native software application development." We are ... Internship or personal projects showcasing your development skills. Benefits * Competitive salary ...

Ampcus Inc

Senior Software Engineer

Mclean, VA · On-site

$124K - $163K/yr

Required : • Bachelor's Degree • At least 6 years of professional software engineering experience (Internship experience does not apply) • At least 1 year experience with cloud computing (AWS ...

Capital One

Lead Software Engineer

Mclean, VA

At least 4 years of experience in software engineering (Internship experience does not apply) * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Capital One

Lead Software Engineer

Richmond, VA

At least 4 years of experience in software engineering (Internship experience does not apply) * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Capital One

Lead Software Engineer

Mclean, VA · On-site

At least 4 years of experience in software engineering (Internship experience does not apply) * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

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All JobsComputational Neuroscience Software Engineer JobsInternship Computational Neuroscience Software Engineer JobsInternship Computational Neuroscience Software Engineer Jobs in Virginia

Internship Computational Neuroscience Software Engineer information

What does an internship computational neuroscience software engineer do?

An Internship Computational Neuroscience Software Engineer assists researchers and engineers in developing software tools, simulations, and data analysis pipelines used in computational neuroscience. This role often involves writing code to model neural systems, process large datasets from experiments, and visualize results. Interns may work with programming languages like Python, MATLAB, or C++ and collaborate with interdisciplinary teams of neuroscientists, data scientists, and engineers. The position provides hands-on experience in both software engineering and neuroscience research, helping interns gain practical skills and insights into brain function.

What are the key skills and qualifications needed to thrive as an internship computational neuroscience software engineer?

To thrive as an Internship Computational Neuroscience Software Engineer, you need a solid background in computer science, programming (especially Python or MATLAB), and basic neuroscience concepts, usually evidenced by coursework or relevant research experience. Familiarity with neural simulation tools (like NEURON or Brian2), version control systems (such as Git), and data analysis libraries is typically required. Strong problem-solving, teamwork, and communication skills help you collaborate with interdisciplinary teams and present scientific results effectively. These competencies ensure you can contribute to innovative research, adapt to complex challenges, and support scientific discovery within computational neuroscience projects.

What types of projects or tasks can I expect as an internship computational neuroscience software engineer?

As an intern in computational neuroscience software engineering, you will likely work on projects involving data analysis, simulation of neural networks, or the development and optimization of research software. Your daily responsibilities may include writing and testing code, collaborating with neuroscientists and engineers, and analyzing large datasets from neural recordings. You will often be part of interdisciplinary teams, gaining exposure to both neuroscience research and software development best practices. These experiences provide valuable hands-on learning and can be a strong foundation for future roles in computational neuroscience or related fields.

What are the most commonly searched types of Computational Neuroscience Software Engineer jobs in Virginia?

The most popular types of Computational Neuroscience Software Engineer jobs in Virginia are:

What are popular job titles related to Internship Computational Neuroscience Software Engineer jobs in Virginia?

For Internship Computational Neuroscience Software Engineer jobs in Virginia, the most frequently searched job titles are:

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The top searched job categories for Internship Computational Neuroscience Software Engineer jobs in Virginia are:

Internship Computational Neuroscience Software Engineer jobs near you

Software Engineer (C++) with Security Clearance

John Galt Staffing

Norfolk, VA • On-site

Other

Re-posted 2 days ago

Job description

Seeking a Software Engineer to support the design, development, integration, and testing of advanced research and development (R&D) systems and technologies. This role will contribute to the development of software solutions supporting complex engineering systems and customer-driven technical requirements. Position responsibilities will include, but are not limited to the following: Research, design, develop, test, and maintain software applications and systems in support of advanced R&D efforts.
Collaborate with hardware and systems engineering teams to support integrated product development.
Consult with customers to gather and analyze program needs, objectives, functional requirements, and system interfaces.
Support software maintenance, troubleshooting, and enhancement activities throughout the development lifecycle.
Formulate software designs using scientific analysis, mathematical modeling, and engineering principles to evaluate and predict system performance.
Develop software solutions with minimal supervision while delivering high-quality products and technical solutions to customers.
Participate in customer meetings and technical discussions to translate high-level objectives into detailed software requirements.
Support Agile software development activities, including planning, implementation, testing, and documentation.
Candidates must possess the following knowledge, skills, and experience: Bachelor of Science degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, Mathematics, Physics, or a related scientific discipline.
Equivalent experience may be substituted in lieu of a degree, depending on domain experience and contractual requirements.
Three (3)+ years of professional software engineering experience.
Strong proficiency in Python and modern C++.
Knowledge in one or more of the following areas: Signal Processing, Target Tracking, Computational Mathematics, or Electromagnetics.
Familiarity with Agile software development methodologies.
Strong experience working in Linux operating environments.
Experience using Git for software configuration management.
Willingness to travel as needed.
Preferred experience and skills: Familiarity with Docker and containerization technologies.
Familiarity with modern software architectures, including microservices-based designs.
Knowledge of DDS and/or Kafka.
Experience mentoring junior engineers.
Knowledge of MATLAB.
Experience supporting software integration, test, and deployment activities.
Experience developing software requirements and technical documentation

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