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Internship Radar Signal Processing Engineer Jobs in New York

Radar

Fraud Operations Manager

Manhattan, NY · On-site

$140 - $190/hr

We have incredible scale: We're processing over 1 billion API calls per day from hundreds of ... Engineering, and Customer Success. You'll help customers configure and optimize Radar's fraud ...

Radar Labs, Inc

Senior / Staff QA Engineer

New York, NY · On-site

$175K - $225K/yr

Most of our engineering team are former technical co-founders or former Radar interns from schools ... The hiring process: After a call with our Technical Recruiter, you'll do several technical Zoom ...

Workila

Embedded Software Engineer

Clifton, NJ · On-site +1

$100 - $120K/hr

Electronic Warfare, Radar, or related experience DESCRIPTION OF DUTIES Design, develop, operate and ... You will develop real time embedded systems involving software for digital signal processing ...

ZeroMark, Inc.

General Software Engineer

Manhattan, NY · On-site

... with signal processing, computer vision, or machine learning concepts is highly desirable. • ... Preferred : • Experience with sensor integration (e.g., radar, optical, acoustic). • Knowledge ...

Radar Labs, Inc

Engineering Manager

New York, NY · On-site

$200K - $300K/yr

Most of our engineering team are former technical co-founders or former Radar interns from schools ... The hiring process: After a call with our Technical Recruiter, you'll do several technical Zoom ...

RADAR

Manager, Strategic Operations

New York, NY · On-site

$110K - $151K/yr

You will work closely with all teams, including Finance, Product, Go To Market, Engineering ... processes, that the teams are already relying on * Be driving measurable progress on RADAR's most ...

RADAR

Manager, Strategic Operations

New York, NY · On-site

$110K - $151K/yr

You will work closely with all teams, including Finance, Product, Go To Market, Engineering ... processes, that the teams are already relying on * Be driving measurable progress on RADAR's most ...

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Internship Radar Signal Processing Engineer information

What is the difference between Internship Radar Signal Processing Engineer vs Radar Signal Processing Engineer?

AspectInternship Radar Signal Processing EngineerRadar Signal Processing Engineer
CredentialsTypically pursuing or recently completed a relevant degree (BSc, MSc)Bachelor's or Master's degree in Electrical Engineering, Signal Processing, or related fields
Work EnvironmentInternship programs, often in research labs or industryFull-time professional roles in R&D, defense, aerospace, or related industries
Employer & Industry UsageUniversities, research institutions, defense contractors, aerospace companiesDefense agencies, aerospace firms, technology companies
Common Search & ComparisonOften compared for entry-level understanding and career progressionMore experienced roles with advanced responsibilities

The main difference between an Internship Radar Signal Processing Engineer and a Radar Signal Processing Engineer lies in experience and responsibilities. Internships are designed for students or recent graduates gaining initial industry exposure, while full-time engineers handle complex projects and advanced signal processing tasks.

What are the most commonly searched types of Radar Signal Processing Engineer jobs in New York?

The most popular types of Radar Signal Processing Engineer jobs in New York are:

What cities in New York are hiring for Internship Radar Signal Processing Engineer jobs?

Cities in New York with the most Internship Radar Signal Processing Engineer job openings:

Internship Radar Signal Processing Engineer jobs near you

Junior Wireless DSP/PHY Algorithm Engineer/Remote

Apetan Consulting llc

Jersey City, NJ • Remote

$80 - $120/hr

Contractor

Re-posted 12 days ago

Job description

Job Description- Junior Wireless DSP/PHY Algorithm EngineerLocation-RemoteJob Summary

We are seeking a Junior Wireless DSP/PHY Algorithm Engineer to support the design, development, simulation, and optimization of wireless communication algorithms at the Physical Layer (PHY). The ideal candidate will have a strong foundation in Digital Signal Processing (DSP), wireless communication systems, and mathematical modeling, with a passion for developing next-generation wireless technologies.

Key Responsibilities
  • Assist in the development and evaluation of PHY layer algorithms for wireless communication systems.
  • Design, implement, and test DSP algorithms for signal processing applications.
  • Support simulation and performance analysis of wireless communication systems.
  • Develop models and prototypes using MATLAB, Python, C/C++, or similar tools.
  • Analyze system performance under various channel conditions and interference scenarios.
  • Participate in link-level and system-level simulations.
  • Support algorithm optimization for performance, complexity, and power efficiency.
  • Collaborate with software, hardware, and systems engineering teams.
  • Document algorithm designs, simulation results, and technical findings.
  • Assist in debugging and validating wireless communication solutions.
Required Skills & Qualifications
  • Bachelor's or Master's degree in Electrical Engineering, Electronics Engineering, Telecommunications, Computer Engineering, or a related field.
  • Strong understanding of Digital Signal Processing (DSP) fundamentals.
  • Knowledge of wireless communication concepts, including:
    • Modulation and demodulation techniques
    • Channel coding and error correction
    • OFDM/OFDMA
    • MIMO systems
    • Synchronization and channel estimation
  • Familiarity with wireless standards such as:
    • 4G LTE
    • 5G NR
    • Wi-Fi (IEEE 802.11)
  • Programming skills in MATLAB, Python, C, or C++.
  • Understanding of probability, statistics, and linear algebra.
  • Strong analytical and problem-solving abilities.
Preferred Qualifications
  • Academic or project experience in wireless communications or signal processing.
  • Experience with simulation tools and communication system modeling.
  • Familiarity with PHY layer design and performance evaluation.
  • Knowledge of SDR (Software Defined Radio) platforms such as USRP or similar tools.
  • Understanding of embedded systems concepts.