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Remote Prototyping Engineer Jobs in Cambridge, MA

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

Collaborate across engineering and research teams to transition prototypes into production systems ... S. government security clearance in the future.' This is NOT a fully remote position! Required ...

Redhat

Software Engineer - Research

Boston, MA · On-site +1

$110K - $177K/yr

Develop and transition research and prototype software and systems solutions to production ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

HyperLight

Product Engineer, Custom

Cambridge, MA · On-site +1

$90K - $180K/yr

We partner with our customers and suppliers from conceptualization, design, and prototyping phases ... Flexible hybrid or remote work and vacation policies. * Commuter Benefits and Subsidy.

Motional

Perception Engineer

Boston, MA · On-site +1

$165K - $197K/yr

N322 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Connect/drive project-level impact ... Prototype, evaluate, implement, and iterate on solutions. What You Bring: * Requires Bachelor's or ...

Motional

Perception Engineer

Boston, MA · Remote

$165K - $197K/yr

N322 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Connect/drive project-level impact ... Prototype, evaluate, implement, and iterate on solutions. What You Bring: * Requires Bachelor's or ...

Wsgr

Innovations and AI Solutions Engineer

Boston, MA · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Strong software development skills with the ability to quickly prototype, build, and iterate on ...

BCS365

Business Applications Engineer

Rockland, MA · Remote

$90K - $128K/yr

Remote/WFH employees must have a reliable internet connection and must work in an environment free ... Identify and prototype AI automation opportunities during client discovery engagements Migrations ...

OneStudyTeam

Senior Machine Learning Engineer

Boston, MA · Remote

$140K - $190K/yr

You'll have the freedom to experiment with cutting-edge techniques and turn promising prototypes ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...

Later

Senior Director, User Experience

Boston, MA · On-site +1

Senior Director, User Experience Remote, United States or Canada Later is the world's most ... Pioneer and execute agentic UX workflows, building functional AI prototypes that unify product ...

Oscar Health

Product Designer, ICHRA

Boston, MA · Remote

$123K - $161K/yr

... engineers, research, data and operational stakeholders to take features from discovery through ... This is a remote position, open to candidates who reside in: Boston, MA. You will be fully remote ...

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All JobsPrototyping Engineer JobsRemote Prototyping Engineer JobsRemote Prototyping Engineer Jobs in Cambridge, MA

Remote Prototyping Engineer information

What does a remote prototyping engineer do?

A Remote Prototyping Engineer is responsible for designing, building, and testing prototypes of products or systems while working from a remote location. They use digital tools to collaborate with teams, create models, and iterate on designs based on feedback. Their work is essential in transforming concepts into tangible prototypes that can be evaluated for functionality, usability, and manufacturability. This role typically requires strong technical skills, experience with prototyping software, and effective remote communication abilities.

What skills and qualifications are needed to thrive as a remote prototyping engineer?

To excel as a Remote Prototyping Engineer, you need a strong background in engineering fundamentals, rapid prototyping techniques, and experience in CAD design, typically backed by a relevant degree. Familiarity with prototyping tools such as 3D printers, CNC machines, and collaborative platforms like SolidWorks or Fusion 360 is essential; certifications in product design or manufacturing can be advantageous. Strong problem-solving skills, effective remote communication, and self-motivation are vital soft skills for success in distributed teams. These competencies enable efficient development of innovative prototypes, ensure clear collaboration, and drive project success in a remote environment.

How does a remote prototyping engineer typically collaborate with cross-functional teams while working remotely?

Remote Prototyping Engineers often work closely with product managers, designers, and developers to transform ideas into functional prototypes. Collaboration is facilitated through regular video meetings, shared digital workspaces, and version-controlled repositories for code and design assets. Effective communication and documentation are essential to ensure alignment across time zones and disciplines. By using collaborative tools like Slack, Figma, and GitHub, Remote Prototyping Engineers can efficiently iterate on prototypes and incorporate feedback from stakeholders, ensuring project momentum even in a distributed work environment.

What is the difference between Remote Prototyping Engineer vs Remote Product Designer?

AspectRemote Prototyping EngineerRemote Product Designer
Primary FocusDeveloping and testing prototypes to validate technical feasibilityDesigning user interfaces and experiences for products
Skills & CredentialsEngineering background, prototyping tools, technical knowledgeDesign skills, UX/UI tools, creativity
Work EnvironmentCollaborates with engineers and developersWorks closely with users, product managers, and developers
Industry UsageTech, hardware, software developmentTech, consumer apps, digital products

While both roles involve creating prototypes, the Remote Prototyping Engineer focuses on technical feasibility and engineering prototypes, whereas the Remote Product Designer emphasizes user experience and visual design. Understanding these differences helps in choosing the right role based on your skills and career goals.

What are popular job titles related to Remote Prototyping Engineer jobs in Cambridge, MA?

For Remote Prototyping Engineer jobs in Cambridge, MA, the most frequently searched job titles are:

Remote Prototyping Engineer jobs near you

Machine Learning Engineer

MatrixSpace

Burlington, MA • Remote

$165K - $200K/yr

Full-time

Re-posted 2 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.