Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

MIT Lincoln Laboratory System Integration and Test Engineer (Associate Staff) in Lexington, Massachusetts

The Advanced RF Techniques and Systems Group innovates and demonstrates novel algorithms and architectures to impact missions covering the RF electromagnetic spectrum.

We collaborate with academia, industry, and the government to demonstrate rigorous solutions to the most important defense problems in wireless communications and sensing. We develop and prototype new techniques for digital signal processing and machine learning to enable multi-function wideband systems. We also apply new multi-channel, multi-beam, multi-function RF aperture technologies and push the boundaries of high-performance computing to address the most relevant technology problems unique to government spectrum operations.

The Position:

The Group is seeking creative and enthusiastic candidates with an interest in applying signal processing and artificial intelligence techniques to develop novel algorithms that enable new capabilities in next-generation RF communication systems. Typical assignments include algorithm design, analysis, and implementation; communication system analysis; software and hardware prototyping and test activities; documentation and planning; and field experimentation, data collection, and post-experiment analysis.

Required Skills:

  • M.S. Degree in Engineering, Computer Science, Physics, Mathematics or related field

  • Experience with scripting and analysis tools such as Matlab and Python

  • Highly effective written and verbal communication skills

  • Ability to work effectively in a team and set priorities

  • Outstanding analytical and problem-solving skills

Preferred Skills:

  • Coursework or experience in wireless communication systems, information theory, detection and estimation theory, stochastic processes, and/or linear algebra

  • Experience applying unsupervised and supervised machine learning techniques to solve signal/data processing problems

  • Exposure to commercial communication devices and standards (3GPP, WiFi, Bluetooth, etc…)

This position will include a mixture of on-site, travel, and remote work as needed to support integration and field events.

For Benefits Information, click http://hrweb.mit.edu/benefits

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

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