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Remote Rf Filter Design Engineer Jobs in Lawrence, MA

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

Design and implement AI agents, agentic workflows, and LLM-powered applications. * Deploy and ... S. government security clearance in the future.' This is NOT a fully remote position! Required ...

Jj

Principal Med Device Security Engineer

Danvers, MA · On-site +1

The role can be remote-based or located onsite in Danvers, MA or Raritan, NJ. This role will ... implemented by design for this top-performing medical device company. This is an exciting ...

Leidos

Senior Civil/Structural Engineer

Boston, MA · On-site +1

$73K - $132K/yr

Experience reviewing substation structure design, rigid bus design, foundation design, oil spill ... If remote, our preference is for candidate to reside in either Eastern or Central time zone. Grow ...

Veracross

UX Design Manager

Wakefield, MA · Remote

$119K/yr

Define how UX integrates with product and engineering -- from discovery through delivery -- and ... Ability to work effectively in a remote, mostly asynchronous environment. * A flexible, curious ...

Veracross

UX Design Manager

Wakefield, MA · On-site +1

$122K/yr

Define how UX integrates with product and engineering - from discovery through delivery - and ... Ability to work effectively in a remote, mostly asynchronous environment. * A flexible, curious ...

Veracross

UX Design Manager

Wakefield, MA · Remote

$122K/yr

Define how UX integrates with product and engineering - from discovery through delivery - and ... Ability to work effectively in a remote, mostly asynchronous environment. * A flexible, curious ...

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All JobsRf Filter Design Engineer JobsRemote Rf Filter Design Engineer JobsRemote Rf Filter Design Engineer Jobs in Lawrence, MA

Remote Rf Filter Design Engineer information

See Lawrence, MA salary details

$38.8K

$123.5K

$192K

How much do remote rf filter design engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for remote rf filter design engineer in Lawrence, MA is $123,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $145,800.00 per year, depending on experience, location, and employer.

What is the difference between Remote Rf Filter Design Engineer vs Remote RF Circuit Design Engineer?

AspectRemote Rf Filter Design EngineerRemote RF Circuit Design Engineer
Primary FocusDesigning RF filters to select or reject specific frequency bandsDesigning RF circuits including amplifiers, mixers, and oscillators
Skills & CertificationsRF filter theory, simulation tools, RF component knowledgeRF circuit design, PCB layout, RF simulation tools
Work EnvironmentElectronics or telecommunications companies, remote teamsWireless device manufacturers, remote engineering teams

The main difference is that Remote Rf Filter Design Engineers specialize in creating RF filters for signal processing, while Remote RF Circuit Design Engineers work on broader RF circuit components. Both roles require RF design expertise and often overlap, but their focus areas differ within the RF engineering field.

What are the key skills and qualifications needed to thrive as a Remote RF Filter Design Engineer, and why are they important?

To thrive as a Remote RF Filter Design Engineer, you need a solid background in electrical engineering, signal processing, and RF circuit design, typically supported by a relevant degree and experience in designing RF/microwave filters. Proficiency with design and simulation tools such as ADS, HFSS, CST, or Microwave Office, along with familiarity with PCB layout software, is essential. Strong problem-solving skills, attention to detail, and effective remote communication are crucial soft skills for collaborating with distributed teams and managing complex projects. These skills and qualities ensure precise, efficient filter designs that meet performance specifications and enable seamless teamwork in a remote environment.

What are some common challenges faced by Remote RF Filter Design Engineers, and how can they effectively collaborate with cross-functional teams?

Remote RF Filter Design Engineers often face challenges related to clear communication and coordination with hardware, PCB layout, and manufacturing teams who may be located in different time zones. To overcome these, it's important to leverage collaboration tools, maintain thorough documentation, and schedule regular virtual meetings to review design specifications, test results, and project milestones. Building strong relationships with team members and proactively addressing technical concerns can help ensure that filter designs meet both performance requirements and manufacturing constraints.

What is a Remote RF Filter Design Engineer?

A Remote RF Filter Design Engineer is a professional who specializes in designing radio frequency (RF) filters used in electronic communication devices, such as smartphones, radios, and wireless systems. They work remotely, using specialized software and tools to create, simulate, and optimize RF filter circuits that block unwanted frequencies and allow desired signals to pass. The role requires a strong background in electrical engineering, RF principles, and experience with simulation tools. Remote RF Filter Design Engineers often collaborate with teams online and may work for companies in telecommunications, defense, or consumer electronics industries.
What are the most commonly searched types of Rf Filter Design Engineer jobs in Lawrence, MA? The most popular types of Rf Filter Design Engineer jobs in Lawrence, MA are:
What cities near Lawrence, MA are hiring for Remote Rf Filter Design Engineer jobs? Cities near Lawrence, MA with the most Remote Rf Filter Design Engineer job openings:
Remote Rf Filter Design Engineer jobs near you
Infographic showing various Remote Rf Filter Design Engineer job openings in Lawrence, MA as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,462 per year, or $59.4 per hour.
Machine Learning Engineer

Machine Learning Engineer

MatrixSpace

Burlington, MA • Remote

$165K - $200K/yr

Full-time

Posted 13 days ago

Job description

Help us bridge machine learning research and real-world deployment!

MatrixSpace develops AI-enabled radar and sensing systems that help people understand what's happening in the world around them. By combining advanced radar, edge computing, and AI, we deliver situational awareness in environments where traditional sensing solutions struggle.
We're looking for a hands-on Machine Learning Engineer who enjoys turning cutting-edge ML research into production-ready software. You'll partner closely with our Data Scientists, taking new algorithms and implementing them in performant, maintainable, and scalable production systems. You'll also help build the ML infrastructure and tooling that accelerates future research, while ensuring our AI solutions are reliable enough for real-world deployment.

If you're technically curious, highly collaborative, and motivated by solving complex real-world problems, we'd love to talk.

What You'll Do

  • Partner with Data Scientists to transform research algorithms into robust, production-quality software.
  • Implement machine learning algorithms in high-performance C++ and Python with a focus on maintainability, scalability, and real-time performance.
  • Build and improve machine learning infrastructure, tooling, and training pipelines that enable faster experimentation and more efficient model development.
  • Design and implement AI agents, agentic workflows, and LLM-powered applications.
  • Deploy and maintain AI workloads across edge, near-edge, and cloud environments.
  • Collaborate across engineering and research teams to transition prototypes into production systems.

What We're Looking For

This position requires working directly or indirectly with the US Government in restricted environments. Candidates must be legally authorized to work in the United States without employer sponsorship and may be required to obtain and maintain a U.S. government security clearance in the future.'

This is NOT a fully remote position!

Required

  • BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, AI, Robotics, or a related field.
  • Strong hands-on programming experience in C++ and Python.
  • 3-5 years of experience developing and deploying machine learning systems in production environments.
  • Experience building AI agents, LLM-based applications, or intelligent automation systems.
  • Strong problem-solving skills and ability to work across the full development lifecycle.
  • Excellent written and verbal communication and collaboration skills.

Someone Who Will Thrive in This Role

  • Enjoys solving difficult technical challenges that span algorithms, software, and deployment.
  • Enjoys bridging the gap between research and production, finding practical engineering solutions that make advanced ML usable in real-world products.
  • Takes ownership and drives projects from concept through production.
  • Continuously explores new AI, ML, and agentic technologies.
  • Works effectively across multidisciplinary teams.
  • Balances research innovation with practical product delivery.
  • Builds side projects, experiments with emerging AI tools, or enjoys hands-on technical exploration.

Bonus Points

  • Experience with radar, RF sensing, sensor fusion, computer vision, robotics, or autonomous systems.
  • Experience with LangChain, LangGraph, LlamaIndex, AutoGen, Semantic Kernel, or similar frameworks.
  • Experience optimizing models for edge deployment usingTensorRT, ONNX,OpenVINO, TVM, or similar tools.
  • Experience with embedded systems, GPUs, NPUs, FPGAs, or hardware acceleration.
  • Familiarity withMLOps, CI/CD, model monitoring, and large-scale production systems.

At MatrixSpace, Machine Learning Engineering is where advanced AI research becomes real-world capability. This is an engineering-heavy ML role focused on productionizing algorithms created by Data Scientists, with some ownership of the ML infrastructure that helps those Data Scientists move faster.