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Home Based Remote Algorithms Engineer Jobs in Fort Lee, NJ

Remote work: 100% What do we need? * You would be a part of the team if, * You have 2 to 3 years of ... A competitive base salary of $30,000 - $50,000+ Commission based bonus of $20K Additional ...

AI Architect Claude Code Senior Developer

NY ยท On-site +1

$160K - $220K/yr

... Be US-based (remote within the US) Have a strong background as a software engineer / senior ... Home office / equipment allowance Base Salary: $160,000 - $220,000 USD What Success Looks Like (6 ...

S.-based remote candidates near a major airport Work Model: Hybrid or Remote Industry: Enterprise AI Infrastructure / Developer Tools Compensation: Competitive salary + equity About the Company Our ...

Senior Software Engineer - Remote

New York, NY ยท Remote

$134K - $176K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

Field Service Engineer

Fairfield, NJ ยท Remote

$38 - $44/hr

Greater Hackensack, NJ (Remote/Home-Based) Join a Company That Helps Shape the World's Best Products At Instron , we design, manufacture, and support the materials testing systems that engineers rely ...

Home Visitor

New York, NY ยท Remote

$20.50 - $27/hr

... programming that builds up opportunities for children and families to thrive in school, work, and ... GRADS is an Early Head Start home-based program designed to promote the physical, social, emotional ...

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Home Based Remote Algorithms Engineer information

See Fort Lee, NJ salary details

$62.1K

$116.5K

$211.9K

How much do home based remote algorithms engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for home based remote algorithms engineer in Fort Lee, NJ is $116,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $138,300.00 per year, depending on experience, location, and employer.

What is a home based remote algorithms engineer?

Home Based Remote Algorithms Engineers are professionals who design, develop, and optimize algorithms while working remotely from their home or any other location outside a traditional office. Their work often involves solving complex computational problems, improving software efficiency, and applying mathematical models to real-world challenges. They may work in industries like technology, finance, healthcare, or artificial intelligence, collaborating with teams online and using various programming languages. This role requires strong analytical skills, proficiency in programming, and the ability to communicate technical concepts effectively in a remote environment.

What are the key skills and qualifications needed to thrive as a home based remote algorithms engineer?

To thrive as a Home Based Remote Algorithms Engineer, you need a deep understanding of mathematics, computer science fundamentals, and experience in algorithm design, often backed by a relevant degree. Proficiency with programming languages such as Python or C++, version control systems like Git, and familiarity with cloud-based collaboration tools are typically required. Strong problem-solving skills, self-motivation, and effective written communication are critical for remote teamwork and independent project delivery. These competencies ensure you can develop efficient algorithms, collaborate remotely, and meet project goals in a distributed work environment.

What are some common challenges faced by home based remote algorithms engineers, and how can they be effectively managed?

Home Based Remote Algorithms Engineers often face challenges such as limited real-time collaboration, managing complex projects independently, and maintaining clear communication with distributed teams. To overcome these obstacles, it is important to leverage collaboration tools (like Slack or GitHub), set regular check-ins with team members, and establish clear documentation practices. Proactively seeking feedback and participating in virtual code reviews also helps maintain alignment and ensures code quality while working remotely.

What is the difference between Home Based Remote Algorithms Engineer vs Data Scientist?

AspectHome Based Remote Algorithms EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Math, or related field; experience with algorithms and programmingBachelor's or Master's in Data Science, Statistics, or related field; proficiency in analytics tools
Work EnvironmentRemote, project-based, focused on algorithm developmentRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, software development companiesTech, finance, healthcare, marketing

Home Based Remote Algorithms Engineers focus on designing and optimizing algorithms, often requiring programming and mathematical skills. Data Scientists analyze data to extract insights, using statistical and machine learning techniques. While both roles can be remote and require similar educational backgrounds, their core responsibilities differ: algorithms engineers develop solutions, whereas data scientists interpret data.

What job categories do people searching Home Based Remote Algorithms Engineer jobs in Fort Lee, NJ look for?

The top searched job categories for Home Based Remote Algorithms Engineer jobs in Fort Lee, NJ are:

Infographic showing various Home Based Remote Algorithms Engineer job openings in Fort Lee, NJ as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 16% Part Time, 1% Temporary, and 6% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $116,513 per year, or $56 per hour.

Junior Wireless DSP/PHY Algorithm Engineer/Remote

Apetan Consulting llc

Jersey City, NJ โ€ข Remote

$80 - $120/hr

Contractor

Re-posted 28 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.