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Iot Lorawan Jobs (NOW HIRING)

Technergetics

R&D Engineering Intern

Rome, NY

$22 - $28/hr

... power IoT stacks (LoRa, Meshtastic, Thread). Daily Activities Include: * Researching mesh ... Comparative analysis of LoRaWAN, Meshtastic, Thread, and military tactical data link design ...

United Rentals

Product Development Manager

Branch, MO · On-site

$104K - $130K/yr

Strong familiarity with construction technologies, including IoT, AI, and sensor-based systems * Background in telematics and connected technologies such as Bluetooth, Zigbee, LoRaWAN, GPS, cellular ...

United Rentals

Product Development Manager

Charlotte, NC · On-site

$111K - $139K/yr

Strong familiarity with construction technologies, including IoT, AI, and sensor-based systems * Background in telematics and connected technologies such as Bluetooth, Zigbee, LoRaWAN, GPS, cellular ...

United Rentals

Product Development Manager

Atlanta, GA · On-site

$110K - $137K/yr

... IoT, AI, and sensor-based systems Background in telematics and connected technologies such as Bluetooth, Zigbee, LoRaWAN, GPS, cellular, access management, robotics, and RFID preferred Proven success ...

United Rentals - French

Product Development Manager

Atlanta, GA · On-site

$110K - $137K/yr

... IoT, AI, and sensor-based systems Background in telematics and connected technologies such as Bluetooth, Zigbee, LoRaWAN, GPS, cellular, access management, robotics, and RFID preferred Proven success ...

United Rentals, Inc.

Product Development Manager

$117K - $146K/yr

Strong familiarity with construction technologies, including IoT, AI, and sensor-based systems * Background in telematics and connected technologies such as Bluetooth, Zigbee, LoRaWAN, GPS, cellular ...

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Iot Lorawan information

What are the key skills and qualifications needed to thrive as an IoT LoRaWAN specialist?

To excel as an IoT LoRaWAN Specialist, you need a solid background in wireless communications, networking protocols, and embedded systems, often supported by a degree in electronics, computer engineering, or a related field. Familiarity with LoRaWAN network servers, device provisioning tools, and platforms like The Things Network, along with relevant certifications, is typically required. Strong problem-solving, analytical thinking, and effective communication skills help in troubleshooting and collaborating with multidisciplinary teams. These competencies are essential for ensuring reliable IoT deployments, optimizing system performance, and meeting the unique challenges of LoRaWAN-based applications.

What is an IoT LoRaWAN specialist?

An IoT LoRaWAN specialist is a professional who designs, implements, and manages Internet of Things (IoT) solutions that use the LoRaWAN (Long Range Wide Area Network) protocol. LoRaWAN is a low-power, long-range wireless communication technology often used for connecting sensors and devices over large areas, such as in smart cities, agriculture, and industrial monitoring. These specialists are knowledgeable in wireless communication, networking, and IoT device integration, ensuring reliable and secure data transmission across distributed systems.

Is IoT a high paying job?

IoT roles, including positions like IoT LoRaWAN engineer, often offer competitive salaries due to the specialized skills required, such as knowledge of wireless communication protocols and embedded systems. Salaries vary based on experience, location, and certifications, but many IoT jobs are considered well-paying within the tech industry.

What are some common challenges IoT LoRaWAN engineers face when deploying and managing large-scale sensor networks?

IoT LoRaWAN engineers often encounter challenges such as ensuring reliable network coverage across wide or difficult terrains, managing device battery life for remote sensors, and handling interference or scalability issues as the number of connected devices grows. Coordinating device provisioning, firmware updates, and secure communication are also key concerns. Successful engineers typically collaborate closely with network architects, field technicians, and software developers to address these obstacles and keep networks running smoothly.

Is IoT a good career path?

The IoT LoRaWAN field offers growing opportunities for professionals skilled in wireless communication, network security, and embedded systems. Careers in this area typically require knowledge of protocols, sensors, and cloud integration, with demand increasing as IoT devices become more prevalent across industries.

What is the difference between Iot Lorawan vs Iot Network Engineer?

AspectIot LorawanIot Network Engineer
CertificationsLoRaWAN certifications, IoT certificationsNetworking certifications (CCNA, CompTIA Network+)
Work EnvironmentField deployments, IoT device networksNetwork infrastructure, corporate or data center environments
Industry UsageIoT sensor networks, smart city projectsEnterprise network design, maintenance

While both roles involve networking, Iot Lorawan specialists focus on deploying and managing LoRaWAN-based IoT networks, often in field environments. In contrast, Iot Network Engineers design, implement, and maintain broader network infrastructures. Both roles require networking knowledge, but Iot Lorawan emphasizes IoT-specific protocols and sensor deployments.

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Iot Lorawan jobs near you
Infographic showing various Iot Lorawan job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 8% Part Time, and 7% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Staff Electrical Engineer

The Electric Plant Company

San Francisco, CA • On-site

Full-time

Posted yesterday

New

Job description

About The Electric Plant Co.
The Electric Plant Co. is building a new category of plant and tree intelligence. Our IoT hardware measures the hidden electrical signals in plants and trees, paired with environmental data, and our foundation model decodes those signals into real-time insights about plant health, growth, and stress. We're a small, fast-moving company in San Francisco working at the intersection of biology, hardware, AI, and IoT. We closed our seed round in November 2025 and our first commercial deployment launches in August.
The Role
We are hiring a Staff Electrical Engineer to own the sensing and signal-acquisition platform at the core of our product. This is a full electronic stack role spanning analog design, embedded systems, sensor validation, and field deployment. The right candidate is a generalist who can handle a lot of breadth, recognize when and how to get help where there are knowledge gaps, and evolve from making working devices at scale to fleet management software, firmware updates, bug fixes, and development of new versions and products.
Our hardware measures electrical signals from living plants and trees in the field. Every signal our foundation model learns from flows through electronics that you design, validate, and improve. From electrode interfaces and analog front ends to embedded firmware, low-power field devices, and the hand-off to our ML training pipeline, you will determine what data reaches the model and how much signal survives the journey.
Alongside the core IoT product, you'll build hardware that the rest of the company depends on - custom lab equipment, research sensors, and instrumentation that help our science team explore new signals before they become product features.
You will be the most experienced electrical engineer at the company and will help set the direction for how we design, validate, and evolve our sensing systems. You'll collaborate with scientists, ML engineers, operations, and leadership, influencing decisions that span hardware architecture, dataset quality, and the future capabilities of the platform.
Every signal our foundation model learns from flows through what you build. You will set the upper bound on what the model can learn.
Tech stack: C/C++ firmware on ESP32 and low-power LoRa MCUs. Altium or KiCad. LoRaWAN, MQTT, and other IoT protocols on the edge. Python for test automation and characterization tooling.
What you'll do
  • Set the electrical architecture for our sensing platform across analog front end, embedded systems, power, and field deployments.
  • Own the mixed-signal front end for plant electrophysiology - electrode interfaces, instrumentation amplifiers, filtering, ADC chains, and noise-floor characterization against real plant signals.
  • Design, review, and bring up schematics and PCBAs across the IoT hardware stack - multi-PCBA designs spanning analog front end, MCU/main, and power.
  • Establish the validation methods and characterization protocols that determine whether a signal is trustworthy enough to become part of the dataset.
  • Partner closely with the science and foundation-model teams to improve signal quality, evaluate new sensing approaches, and ensure the data captured in the field is actually trainable.
  • Build custom lab and research hardware - purpose-built sensors, test rigs, and instrumentation that help the science team probe new signals before they become product features.
  • Contribute to embedded firmware development in C/C++ across ESP32 and future low-power LoRa platforms, particularly for hardware bring-up, characterization, deployment, and debugging.
  • Drive technical decisions that influence hardware performance, dataset quality, reliability, and future sensing capabilities.
  • Bring up every new build with your own hands - oscilloscope, logic analyzer, and spectrum analyzer fluent.

What we're looking for
  • 6-12 years developing and shipping electronic products, with a demonstrated history of owning real hardware systems end-to-end. We care more about products you've shipped and problems you've solved than a specific number of years.
  • Strong mixed-signal and analog design experience. Instrumentation and precision amplifiers, ADCs, filtering, low-noise design, grounding, decoupling, and sensor interfaces are familiar territory.
  • Hands-on schematic capture, PCB design, bring-up, and debugging. You've debugged your own boards and understand the difference between a design that works in the lab and one that works in the field.
  • Technical leadership across disciplines. You can work with scientists, ML engineers, operations, and leadership teams to make decisions that balance technical reality with company goals.
  • Comfortable setting technical direction. Small company, small team, limited process scaffolding. You help establish how things get done.
  • Embedded experience. You've shipped OT projects at scale, are strong in C/C++ on ESP32/ARM, and get the basics of RTOS.
  • A track record of validating sensors against ground truth, not just proving that the system powers on.
  • Direct, low-ego communicator. Comfortable saying "the data isn't good enough yet," "this architecture won't scale," or "we should simplify this."

Successful candidates will likely come from one of two backgrounds:
  • An analog- and mixed-signal-focused electrical engineer who has shipped embedded products.
  • An embedded systems engineer with unusually strong analog instincts and a track record of owning hardware products end-to-end.
Nice to have
  • Biosensors, electrophysiology, neural interfaces, bioelectronics, or other low-signal sensing systems - academic or industrial.
  • Plant science exposure - published research, a personal interest, or just having put electrodes on a tree before.
  • Low-power IoT stacks (LoRaWAN, NB-IoT, LTE-M) and battery-life optimization.
  • DSP, digital filtering, or signal-processing experience.
  • Prior experience at a deep-tech or hardware-software company - physical AI, IoT, robotics, climate, life sciences.
  • Prior outdoor or agricultural product experience - IP-rated enclosures, environmental robustness, field-serviceable design.
Compensation & logistics
  • Salary range is $225k - $245k per year, with meaningful early-stage equity
  • Standard benefits
  • Full-time, in-person at our Presidio office in San Francisco
  • Start date: ASAP

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by applicable law.

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