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Remote Iot Engineer Jobs in Secaucus, NJ (NOW HIRING)

IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables ... This is a remote position open to candidates residing in the United States. This position requires ...

... Engineering, Banking & Finance, Telecom, Print & Design, Infrastructure, Cloud, IoT, Business ... The role could be based out of office or remote from anywhere within East Coast. Tags: Business ...

Our team of scientists, engineers, and parents is small but mighty - we share a mission to make ... Remote work from home month in August * Flexible PTO (we trust you to take the time you need)

Our team of scientists, engineers, and parents is small but mighty - we share a mission to make ... Remote work from home month in August * Flexible PTO (we trust you to take the time you need)

Preferable but not essential to have additional experience with IoT devices. ESSENTIAL DUTIES AND ... Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ...

Preferable but not essential to have additional experience with IoT devices. ESSENTIAL DUTIES AND ... Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ...

Partner with our Solutions Engineer and Solutions Architect teams for in-depth technical ... SaaS AND Hardware sales experience (IoT, smart home, access control, Wi-Fi, etc.). * Trained on ...

Remote Iot Engineer information

See Secaucus, NJ salary details

$38.6K

$117.8K

$194.7K

How much do remote iot engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote iot engineer in Secaucus, NJ is $117,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,400.00 and $154,000.00 per year, depending on experience, location, and employer.

What is a remote IoT engineer?

Remote IoT Engineers are professionals who design, develop, and maintain Internet of Things (IoT) devices and systems while working from a remote location, rather than onsite. They are responsible for connecting hardware devices to networks, implementing software solutions, and ensuring secure data exchange between devices. Their work often involves programming, troubleshooting, and collaborating with teams using digital communication tools. Remote IoT Engineers enable organizations to build and manage connected devices efficiently without requiring physical presence at a specific site.

How does a remote IoT engineer effectively collaborate with cross-functional teams despite working from a distance?

As a Remote IoT Engineer, collaboration with hardware, software, and data teams is crucial to ensure seamless device integration and system performance. Most teams use digital communication tools such as Slack, Jira, and GitHub to coordinate tasks, share updates, and troubleshoot issues together. Regular virtual meetings, clear documentation, and proactive communication help bridge the distance and maintain alignment across projects. Emphasizing transparency and responsiveness ensures that remote engineers remain integral, valued contributors to the team’s success.

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

To thrive as a Remote IoT Engineer, you need strong expertise in embedded systems, networking protocols, programming (such as C/C++ or Python), and a relevant degree in computer science, electronics, or a related field. Familiarity with cloud platforms (like AWS IoT or Azure IoT), IoT-specific frameworks, and relevant certifications (such as Cisco IoT or CompTIA IoT+) are commonly required. Excellent problem-solving skills, self-motivation, and effective remote communication are vital soft skills for success in distributed teams. These skills are important to ensure secure device connectivity, scalable IoT solutions, and effective collaboration across remote and cross-functional environments.

What is the difference between Remote Iot Engineer vs Remote Embedded Systems Engineer?

AspectRemote Iot EngineerRemote Embedded Systems Engineer
Required CredentialsBachelor's in CS, EE, or related; IoT certificationsBachelor's in EE, CS; embedded systems certifications
Work EnvironmentDesigning IoT devices, cloud integration, hardware-software interactionDeveloping firmware, hardware-software integration, device programming
Industry UsageSmart home, industrial IoT, healthcareConsumer electronics, automotive, aerospace
Search & Comparison IntentYesYes

While both roles involve working with hardware and software, Remote IoT Engineers focus on designing and integrating IoT systems connecting devices to the cloud, whereas Remote Embedded Systems Engineers primarily develop firmware and hardware-software interfaces for embedded devices. The roles often overlap in skills and industry applications, but their core focus areas differ.

What are popular job titles related to Remote Iot Engineer jobs in Secaucus, NJ?

For Remote Iot Engineer jobs in Secaucus, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Iot Engineer jobs in Secaucus, NJ look for?

The top searched job categories for Remote Iot Engineer jobs in Secaucus, NJ are:

What cities near Secaucus, NJ are hiring for Remote Iot Engineer jobs?

Cities near Secaucus, NJ with the most Remote Iot Engineer job openings:

Infographic showing various Remote Iot Engineer job openings in Secaucus, NJ as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 100% Remote job distribution, with an average salary of $117,798 per year, or $56.6 per hour.

MLOps Engineer / Unicorn Startup / Remote

Motion Recruitment

NY • Remote

Full-time

Medical, Dental, Vision, Life, PTO

Posted 2 days ago

New


Job description


A rapidly growing health technology company is seeking a Senior MLOps Engineer to help scale the next generation of machine learning-powered products. This is a full-time remote opportunity focused on AWS, Python, ML infrastructure, and large-scale deployment systems. The organization combines cutting-edge hardware, sensor technology, and artificial intelligence to deliver measurable outcomes for a global customer base.
This opportunity is ideal for engineers who enjoy building infrastructure that powers real-world machine learning systems. Rather than focusing exclusively on model development, this role centers on designing and operating the platforms, pipelines, and deployment frameworks that make machine learning reliable, scalable, and efficient in production. The organization values ownership, technical excellence, and collaboration, offering significant influence over long-term platform strategy and product innovation.
Required Skills & Experience
  • 5+ years of software engineering experience
  • Strong Python development experience
  • Production MLOps experience
  • Expertise deploying machine learning workloads in AWS
  • Experience designing CI/CD pipelines for model deployment
  • Distributed systems knowledge
  • Infrastructure automation experience
  • Monitoring, telemetry, and observability expertise
  • Experience supporting large-scale production environments
Desired Skills & Experience
  • IoT or connected-device experience
  • Kafka, Kinesis, or Flink
  • Health-tech or wearable device experience
  • ML platform engineering
  • Cost optimization within cloud environments
  • Real-time inference systems
  • Startup experience
  • Staff-level engineering experience
What You Will Be Doing
Tech Breakdown
  • 40% AWS Infrastructure
  • 30% Machine Learning Platform Engineering
  • 20% Distributed Systems & Data Pipelines
  • 10% Monitoring & Performance Optimization

Daily Responsibilities
  • 75% Hands On Engineering
  • 10% Architectural Leadership
  • 15% Team Collaboration

The Offer
  • Competitive Salary
  • Substantial Equity
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Flexible PTO
  • Equity Participation
  • Paid Parental Leave
  • Life Insurance
  • Remote Flexibility
  • Employee Product Benefits

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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