Intern – Wireless Communication Systems Engineer
Confirmed live in the last 24 hours
Silvus Technologies

51-200 employees

Develops advanced tactical wireless communication technologies
Company Overview
Silvus Technologies, established in 2004, is a leading force in the development of advanced communications technologies, specifically in tactical wireless communications. The company's proprietary Mobile Networked MIMO (MN-MIMO) technology, which combines MIMO antenna techniques, COFDM modulation, and Mobile Ad Hoc Networking, offers unparalleled range, throughput, and mobility, even in challenging environments. This technology allows for reliable duplex connectivity, forming a self-healing, self-forming mesh network that adapts to changing channel conditions, setting Silvus apart from its competitors in the industry.
Data & Analytics
Hardware
Aerospace

Company Stage

N/A

Total Funding

N/A

Founded

2004

Headquarters

Los Angeles, California

Growth & Insights
Headcount

6 month growth

13%

1 year growth

37%

2 year growth

69%
Locations
Los Angeles, CA, USA
Experience Level
Intern
Desired Skills
Communications
CategoriesNew
IT & Security
Requirements
  • In-progress bachelor's or master’s degree in Electrical/Electronic Engineering or other related technical fields
  • Basic understanding of Statistics and Probability
  • Basic understanding of Communication Transmission Methods
  • Exposure to Linear Algebra (Eigenvectors)
Responsibilities
  • Developing a new Transmit Beamforming Architecture
  • Reviewing existing material related to Transmit Beamforming in MIMO OFDM systems
  • Working with a Senior Systems engineer to select a subset for simulation
  • Making modifications to existing Matlab simulation to bench
  • Running simulations and collecting performance data
  • Drafting descriptive design document, and presentation for discussion with the group
Desired Qualifications
  • Matlab coding experience
  • Understanding of Statistics and Probability applied to communication signal processing
  • Understanding of Physical Layer Signal Processing including optimal detection
  • Familiarity with OFDM and MIMO systems