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Remote Matlab Simulation Engineer Jobs in Irvington, NJ

Adapts instruction using case studies of medical devices, MATLAB simulation exercises, and design project guidance to support undergraduate biomedical engineering students bridging life sciences and ...

Adapts instruction using case studies of medical devices, MATLAB simulation exercises, and design project guidance to support undergraduate biomedical engineering students bridging life sciences and ...

Adapts instruction using case studies of medical devices, MATLAB simulation exercises, and design project guidance to support undergraduate biomedical engineering students bridging life sciences and ...

Adapts instruction using case studies of medical devices, MATLAB simulation exercises, and design project guidance to support undergraduate biomedical engineering students bridging life sciences and ...

Participate in discussions to define simulation prerequisites, collect necessary data, and ... Hybrid remote if not located near a local engineering office; Limited travel (10-20%) * Previous ...

... training simulator. The RPO operates a combination of a simulated radar display and voice ... Experience working in a multidisciplinary team (Multimedia Developers, Quality Assurance ...

EWR - Remote Pilot Operator

Newark, NJ · On-site +1

$40K - $80K/yr

... training simulator. The RPO operates a combination of a simulated radar display and voice ... Experience working in a multidisciplinary team (Multimedia Developers, Quality Assurance ...

US - NY - Remote Job Title: Infrastructure Engineering - Web Developer III Summary We're seeking ... Your role will be to grow our app simulation pipeline for training and evaluating computer-use ...

Power Systems Engineer Location: Remote USC & GC LinkedIn Should be as per Resume Must Have ... simulations * Assist in benchmarking CPU vs GPU performance for power system studies * Document ...

Role: Tandem Developer Location: Remote Essential Job Responsibilities: * * Analyze and evaluate ... Background in Tandem utilities, transaction simulators and source repositories Additional Skills ...

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Remote Matlab Simulation Engineer information

See Irvington, NJ salary details

$39.8K

$125.9K

$194.3K

How much do remote matlab simulation engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote matlab simulation engineer in Irvington, NJ is $125,870.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,800.00 and $149,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote Matlab Simulation Engineer vs Remote Data Analyst?

AspectRemote Matlab Simulation EngineerRemote Data Analyst
Required SkillsMatlab, simulation, modeling, programmingData analysis, statistics, Excel, SQL
Work EnvironmentEngineering teams, simulation labs, R&DBusiness teams, data warehouses, reporting tools
Industry UsageEngineering, aerospace, automotive, researchFinance, marketing, healthcare, tech

The Remote Matlab Simulation Engineer primarily focuses on developing and running simulations using Matlab for engineering projects, while the Remote Data Analyst interprets data to support business decisions. Both roles require analytical skills but differ in technical tools and industry applications. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are popular job titles related to Remote Matlab Simulation Engineer jobs in Irvington, NJ? For Remote Matlab Simulation Engineer jobs in Irvington, NJ, the most frequently searched job titles are:
Junior Wireless DSP/PHY Algorithm Engineer/Remote

Junior Wireless DSP/PHY Algorithm Engineer/Remote

Apetan Consulting llc

Jersey City, NJ • Remote

$80 - $120/hr

Contractor

Posted 4 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.