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Remote Software Defined Radio Engineer Jobs in Haddonfield, NJ

Front-End Engineer

Philadelphia, PA · On-site +1

$75K - $125K/yr

... Assessment and Remote Monitoring systems. The Front-End Engineer will work with a modern tech stack to build and enhance software that directly supports Condition-Based Maintenance (CBM ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

As an Experienced Software Developer, your responsibilities will include: * Recognizing ... remote. The working arrangement for this position will be confirmed during the hiring process.

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

We act asa strategic partnertoProduct Management, Engineering, and IT and Enterprise Operations ... Exempt employees participate in Cisco's flexible vacation time off program, which has no defined ...

New

We act asa strategic partnertoProduct Management, Engineering, and IT and Enterprise Operations ... Exempt employees participate in Cisco's flexible vacation time off program, which has no defined ...

New

Showing results 41-60

Remote Software Defined Radio Engineer information

See Haddonfield, NJ salary details

$61.2K

$142.1K

$198K

How much do remote software defined radio engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote software defined radio engineer in Haddonfield, NJ is $142,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $166,700.00 per year, depending on experience, location, and employer.

What does a remote software defined radio engineer do?

A Remote Software Defined Radio (SDR) Engineer designs, develops, and maintains radio communication systems that are implemented through software rather than traditional hardware circuits. Working remotely, they use programming languages and signal processing techniques to create flexible and efficient radio solutions for applications such as telecommunications, defense, and research. Their responsibilities include developing algorithms, optimizing radio performance, troubleshooting signal issues, and collaborating with cross-functional teams, all while leveraging remote communication and development tools.

What are some typical challenges faced by remote software defined radio engineers, and how can they be addressed?

Remote Software Defined Radio (SDR) Engineers often encounter challenges such as managing complex signal processing tasks, ensuring reliable communication across distributed teams, and staying updated with evolving SDR technologies. Working remotely may also require effective collaboration using digital tools and clear documentation to align with colleagues on system design and troubleshooting. To overcome these challenges, SDR Engineers benefit from proactive communication, regular code reviews, and ongoing professional development through webinars and technical forums.

What are the key skills and qualifications needed to thrive as a remote software defined radio engineer, and why are they important?

To thrive as a Remote Software Defined Radio Engineer, you need a strong background in electrical engineering, digital signal processing, and RF communications, typically supported by a relevant degree. Proficiency with SDR platforms (such as GNU Radio, USRP, or MATLAB), wireless protocols, and programming languages like Python or C++ is essential. Strong problem-solving, independent work ethic, and effective remote communication skills help set candidates apart. These abilities are crucial for designing, implementing, and troubleshooting complex radio systems in distributed and collaborative environments.

What is the difference between Remote Software Defined Radio Engineer vs RF Engineer?

AspectRemote Software Defined Radio EngineerRF Engineer
CredentialsBachelor's/Master's in Electrical Engineering, Communications, or related fields; experience with SDR platformsBachelor's/Master's in Electrical Engineering, RF Engineering, or related fields; certifications like FCC or RF-specific training
Work EnvironmentRemote or on-site, focused on software development and signal processingPrimarily on-site or lab-based, focused on hardware, testing, and RF system design
Industry UsageTelecommunications, defense, aerospace, software companiesWireless communications, broadcasting, defense, telecommunications

The Remote Software Defined Radio Engineer specializes in developing and implementing SDR systems through software, often working remotely. In contrast, the RF Engineer focuses on hardware design, testing, and deployment of RF systems. Both roles require technical expertise but differ mainly in their focus on software versus hardware components.

What are popular job titles related to Remote Software Defined Radio Engineer jobs in Haddonfield, NJ?

For Remote Software Defined Radio Engineer jobs in Haddonfield, NJ, the most frequently searched job titles are:

What cities near Haddonfield, NJ are hiring for Remote Software Defined Radio Engineer jobs?

Cities near Haddonfield, NJ with the most Remote Software Defined Radio Engineer job openings:

SWE AI Training Data Expert - Remote

YO AI Labs

Philadelphia, PA • Remote

$80 - $120/hr

Full-time

Posted 11 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.