ZipRecruiter

Log In

2

Remote Algorithm Engineer Intern Jobs in New York City, NY

next page

Showing results 1-20

All JobsAlgorithm Engineer Intern JobsRemote Algorithm Engineer Intern JobsRemote Algorithm Engineer Intern Jobs in New York City, NY

Remote Algorithm Engineer Intern information

See New York City, NY salary details

$9

$18

$26

How much do remote algorithm engineer intern jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for remote algorithm engineer intern in New York City, NY is $18.64, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $21.06 per hour, depending on experience, location, and employer.

What are popular job titles related to Remote Algorithm Engineer Intern jobs in New York City, NY?

For Remote Algorithm Engineer Intern jobs in New York City, NY, the most frequently searched job titles are:

What job categories do people searching Remote Algorithm Engineer Intern jobs in New York City, NY look for?

The top searched job categories for Remote Algorithm Engineer Intern jobs in New York City, NY are:

What cities near New York City, NY are hiring for Remote Algorithm Engineer Intern jobs?

Cities near New York City, NY with the most Remote Algorithm Engineer Intern job openings:

Remote Algorithm Engineer Intern jobs near you
Infographic showing various Remote Algorithm Engineer Intern job openings in New York City, NY as of June 2026, with employment types broken down into 41% Full Time, and 59% Part Time. Highlights an 100% Remote job distribution, with an average salary of $38,768 per year, or $18.6 per hour.

Junior Wireless DSP/PHY Algorithm Engineer/Remote

Apetan Consulting llc

Jersey City, NJ • Remote

$80 - $120/hr

Contractor

Re-posted 10 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.