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Embedded Machine Learning Internship Jobs in Christiansburg, VA

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Embedded Machine Learning Internship information

See Christiansburg, VA salary details

$23.6K

$39.4K

$81.4K

How much do embedded machine learning internship jobs pay per year?

As of Aug 27, 2026, the average yearly pay for embedded machine learning internship in Christiansburg, VA is $39,371.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,000.00 and $42,500.00 per year, depending on experience, location, and employer.

What is an embedded machine learning internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an embedded machine learning internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

What are the key skills and qualifications needed to thrive as an embedded machine learning intern, and why are they important?

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.

What cities near Christiansburg, VA are hiring for Embedded Machine Learning Internship jobs?

Cities near Christiansburg, VA with the most Embedded Machine Learning Internship job openings:

Infographic showing various Embedded Machine Learning Internship job openings in Christiansburg, VA as of June 2026, with employment types broken down into 1% Internship, 22% Full Time, 73% Part Time, 2% Temporary, 1% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $39,371 per year, or $18.9 per hour.

Research Faculty Open Rank, Spectrum Dominance Division

Virginia Tech

Blacksburg, VA • On-site

$15.75 - $21.75/hr

Full-time

Posted 15 days ago


Virginia Tech rating

7.8

Company rating: 7.8 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

233rd of 623 rated colleges and universities


Job description

Research Faculty Open Rank, Spectrum Dominance Division

Apply now Back to search results Job no: 537222
Work type: Research Faculty
Senior management: Vice President for Research
Department: VTNSI
Location: Blacksburg, Virginia
Categories: Engineering, Research / Scientific

Job Description

The Virginia Tech National Security Institute (VTNSI) was formed in 2021 with the aspiration to become the nation's preeminent academic organization at the nexus of interdisciplinary research, technology, policy, and talent development to advance national security. The Institute grew from the Hume Center, which was launched in 2010 thanks to an endowment from Ted and Karyn Hume. VTNSI is a national leader in advancing security and resilience through innovative and applied research, empowering the next generation of experts, and building strategic alliances to address evolving national security challenges. We bring together exceptional interdisciplinary faculty, unique research infrastructure, and deep partnerships with industry and government sponsors to execute impactful research and development.
The Spectrum Dominance Division has an opening for a Research Associate or Research Scientist at its office in Blacksburg, Virginia. The Spectrum Dominance Division (SDD) within VTNSI is home to 30 full-time faculty researchers with focus areas in electrical engineering, computer engineering, computer science, and applied mathematics. SDD's portfolio reaches across all aspects of the radio frequency transmit/receive chain, including antenna and phased array design, baseband waveform design, and receiver design. SDD houses domain expertise in SDR development, AI/ML applied to the radio frequency (RF) spectrum (i.e., RFML), SIGINT, RADAR, cellular, electromagnetic materials, cognitive radio, and additive manufacturing. The hiring rank of this position will be based on the candidates' background and experience.
While engaging in cutting-edge RF research, SDD has a particular focus on TRL 3-6 R&D, acting as the bridge from fundamental research on campus to prototypes for government and commercial sponsors. A particular strength is real-time RF system development leveraging in-house FPGA, GPU, and SDR platforms. Importantly, SDD has successfully transitioned multiple capabilities for real-time RF machine learning, automotive cybersecurity, and radar threat warning models.
Validation of SDD products is accomplished in VTNSI's state-of-the-art 5,000 sq. ft. of wireless testing and lab spaces as well as the Counter-UAS Testing and Research Center (CTRC), between them housing SDR testbeds, two RF anechoic chambers, and high-end measurement equipment (e.g. spectrum analyzers, vector network analyzers, etc.) supporting bands up to 110 GHz. These capabilities complement a nearly $10M investment in secure computing infrastructure, housing expansive GPU and CPU clusters.
Motivated applicants are sought to help support SDD's rapid portfolio growth in our radio frequency portfolio and will be expected to:
Support radio frequency software/hardware development (based on background and/or interests) on 2-3 simultaneous team-based research efforts.
Support project internal communications and milestones through oral/written status updates and/or code review.
Support project final deliverables through code documentation, user guides, final reports, and/or academic publications.
Have flexibility and adaptability to work on different radio frequency application areas such as signals intelligence, waveform design, RADAR, electromagnetics, cellular, etc. (depending on current division project portfolio).
Have a willingness to engage with sponsors through occasional oral briefings and demonstrations, virtually and occasional travel to sponsor sites.
This is an open-rank search with the Research Professional track. Final rank level and job duties will be determined based on the candidate's background, skills and experience.

Required Qualifications

Given the nature of the research conducted and the requirements from federal sponsors, the candidate must be a US citizen.
Ability and willingness to obtain and maintain a security clearance.
An earned Bachelor's with professional experience or Master's degree in Computer Engineering, Electrical Engineering, or related engineering discipline.
Demonstrated background in software/hardware development for radio frequency applications, with Python and C++ being the division's primary development languages.

Preferred Qualifications

Knowledge or experience with real-time radio frequency hardware/software systems, such as software-defined radios (SDRs), GNU Radio, 5G/6G/O-RAN testbeds (OAI, srsRAN, and OCUDU), FPGAs, and/or embedded systems
Knowledge or experience with assembling RF systems and measuring performance with commercial test equipment (e.g. vector network analyzers, RF signal generators, spectrum analyzers, logic analyzers, and/or real-time oscilloscopes)
Experience or basic knowledge of antenna systems such as directivity, gain, impedance, VSWR, S-parameters, polarization, frequency response, and/or beam patterns
knowledge or experience working on team-based software development projects using appropriate version control software tools such as Git.

 

Overtime Status

Exempt: Not eligible for overtime

Appointment Type

Restricted

Salary Information

90,000 - 160,000 depending on rank and experience level

Hours per week

40 hrs per week

Review Date

September 14, 2026

Additional Information

Due to the nature of our work, all candidates must be US citizens with the ability to obtain and maintain a security clearance.

The successful candidate will be required to have a criminal conviction check.

About Virginia Tech

Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.

Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance.  These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.

If you are an individual with a disability and desire an accommodation, please contact NSI HR at nsihr@vt.edu during regular business hours at least 10 business days prior to the event.

Advertised: August 12, 2026
Applications close:

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About Virginia Tech

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Virginia Tech, guided by its motto "Ut Prosim" (That I May Serve), embraces a hands-on, interdisciplinary approach to educate scholars as leaders and problem-solvers. As a comprehensive land-grant institution, it enriches the quality of life in Virginia and worldwide, fostering an inclusive community focused on knowledge, discovery, and creativity. With over 280 majors, the university serves a diverse student body of more than 36,000 across undergraduate, graduate, and professional programs. Virginia Tech's presence extends throughout Virginia, including campuses in Northern Virginia, Roanoke, Newport News, and Richmond, along with multiple Extension offices and research centers. As a prominent global research institution, it conducts over $500 million in research annually.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Blacksburg, VA, US

Year founded

1872

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