Satellite Communication Systems-Technical Staff

MIT Lincoln Laboratory

Lexington (MA)

On-site

USD 145,000 - 220,000

Full time

2 days ago
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Benefits offered by this job

Health, dental, and vision plans
MIT-funded pension
Matching 401K
Paid leave (vacation, sick, parental,;
Tuition reimbursement

Job summary

MIT Lincoln Laboratory is recruiting for a Satellite Communications-Technical Staff role in Lexington, MA. The selected candidate will design, analyze, implement, and demonstrate novel communications waveforms and signal processing algorithms within a collaborative team environment.

Applicants should have a Ph.D. in Electrical Engineering or an MS with 3+ years of relevant experience, with strong knowledge in wireless communications theory, information theory, and DSP.

Qualifications

  • Ph.D. in Electrical Engineering or MS with 3+ years relevant experience.
  • Strong background in wireless communications theory, information theory, DSP, estimation and detection, optimization.
  • Proficiency with MATLAB, Python, C/C++ or equivalent tools.
  • Excellent written and verbal communication skills.
  • Ability to work effectively in multi-disciplinary teams.

Responsibilities

  • Design, analyze, implement, and demonstrate novel communications waveforms and signal processing algorithms.
  • Develop resource allocation schemes and SATCOM system architectures.
  • Collaborate with teams across communications theory, networking, hardware, and SDR.
  • Contribute to DoD policy, requirements, and systems engineering.

Skills

MATLAB
Python
C/C++
Wireless communications
Signal processing

Education

Ph.D. in Electrical Engineering
MS with 3+ years of relevant experience

Tools

MATLAB
Python
C/C++

Job description

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Satellite Communication Systems-Technical Staff

The Tactical Satellite Communications Group is developing technologies and analysis for some of the most advanced communication systems in the world. The Group is involved in a synergistic combination of research, prototyping, and experimentation efforts focused on the goals of enhancing the capability and robustness of future generations of communications satellites and systems.

Current research areas draw from advanced knowledge of Information Theory, Communication Theory, Network Theory, Array Processing, Estimation and Detection, Machine Learning, Antennas and Arrays, Dynammic Resource Allocation, and Optimization. Promising research results are verified in hardware and software prototypes that provide quantitative performance data in relevant environments. Exceptional candidates seeking to become experts in these fields and advance the state of technology are encouraged to apply.

Position Description

Selected candidates will actively participate in the design, analysis, implementation, and demonstration of novel communications waveforms, signal processing algorithms, resource allocation schemes, SATCOM system architectures, antennas and arrays, media access protocols, and networking protocols. The individual will typically work in multi-disciplinary teams in which team members possess expertise in communications theory, networking, information assurance, systems engineering, antennas and arrays, digital hardware, and software defined radio. The individual will have opportunities to work with the government, academia, and industry as well as make contributions towards DoD policy, requirements, acquisition, systems engineering, and operations.

Minimum Qualifications

  • Ph.D. in Electrical Engineering (or related field) with a strong background in wireless communications and signal processing. In lieu of a Ph.D., an M.S. with 3+ years of directly relevant experience is acceptable.
  • Experience and/or coursework in wireless communications theory, information theory, digital signal processing, estimation and detection, optimization, radio frequency propagation modeling, linear algebra.
  • Proficiency with MATLAB, Python, C/C++ or other equivalent modeling and simulation tools.
  • Highly effective written and verbal communication skills.
  • Demonstrated ability to work effectively in multi-disciplinary teams.

Preferred Qualifications

  • Machine learning, adaptive filtering, array processing, media access control protocols, networking
  • Fixed point algorithm design and implementation targeting embedded processors such as FPGA, GPU, DSP
  • Antennas, arrays, and radio frequencycircuits
  • Software Defined Radio
  • Software Defined Networking
  • Demonstrated ability to plan and manage tasks and projects

Recent Graduate Hiring Range: $145,200-$170,000

Experienced Hiring Range: $145,200-$220,000

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including—but not limited to—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs

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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