1

Embedded Tinyml Jobs in Boston, MA (NOW HIRING)

Embedded Tinyml information

See Boston, MA salary details

$76K

$166.6K

$189K

How much do embedded tinyml jobs pay per year?

As of Aug 6, 2026, the average yearly pay for embedded tinyml in Boston, MA is $166,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,900.00 and $187,900.00 per year, depending on experience, location, and employer.

What are common challenges faced when deploying TinyML models on embedded devices?

Deploying TinyML models on embedded devices often involves managing strict resource constraints, such as limited memory, processing power, and energy consumption. Developers must carefully optimize model size and inference speed while ensuring accuracy remains acceptable for the application. Additionally, integrating models within existing embedded system workflows and testing for reliability under various real-world conditions can be challenging. Collaborating with hardware engineers and firmware developers is crucial to achieve efficient deployment and seamless operation.

What is an embedded TinyML engineer?

Embedded TinyML engineers specialize in developing and deploying machine learning models that run directly on small, resource-constrained embedded devices, such as microcontrollers and IoT sensors. Their work involves optimizing neural networks to ensure efficient performance with limited memory, power, and computational capacity. These engineers bridge the gap between embedded systems and AI, enabling smart features in everyday devices without the need for cloud connectivity.

What skills and qualifications are needed to thrive as an embedded TinyML engineer?

To thrive as an Embedded TinyML Engineer, you need a solid background in embedded systems, machine learning fundamentals, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with microcontroller platforms (such as ARM Cortex-M), TinyML frameworks (like TensorFlow Lite for Microcontrollers), and hardware debugging tools is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate technical concepts clearly set standout professionals apart in this field. These skills are crucial for efficiently developing, deploying, and maintaining machine learning models on resource-constrained devices, ensuring reliable and innovative edge AI solutions.
What job categories do people searching Embedded Tinyml jobs in Boston, MA look for? The top searched job categories for Embedded Tinyml jobs in Boston, MA are:
What cities near Boston, MA are hiring for Embedded Tinyml jobs? Cities near Boston, MA with the most Embedded Tinyml job openings:
Infographic showing various Embedded Tinyml job openings in Boston, MA as of August 2026, with employment types broken down into 2% Internship, 88% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $166,636 per year, or $80.1 per hour.

Senior Embedded Firmware Engineer, SmartSense (Boston, MA - Hybrid)

Digi

Boston, MA • On-site

$105K - $164K/yr

Full-time

Medical, PTO

Re-posted 29 days ago


Job description

SmartSense builds end-to-end IoT systems for industries where accuracy and uptime matter - healthcare, food safety, life sciences, and supply chain. Our platform combines wireless sensors, intelligent gateways, and always-on cloud connectivity to deliver mission-critical insights at scale. More than 2,000 organizations trust SmartSense for reliable, real-time data in environments where failure isn't an option.
What We Offer
If you enjoy working across hardware, firmware, wireless networks, and edge computing, this role is the right mix of technical depth and real-world impact. You'll help design next-generation architectures while also improving the reliability and performance of thousands of deployed devices. You'll work alongside engineers who enjoy digging into data, exploring new ideas, and building systems that actually matter. It's a chance to work on a complex IoT stack while having fun doing it.
What You Will Do
  • Build and maintain embedded firmware (C/C++) for sensors and gateways powering SmartSense's IoT ecosystem.
  • Own critical parts of the firmware stack - from low-power drivers to real-time telemetry pipelines.
  • Analyze and solve field issues across a massive distributed fleet, using telemetry, logs, and real hardware debugging tools.
  • Develop firmware updates that introduce new capabilities, improve performance, or support evolving hardware.
  • Tune wireless performance (BLE, Zigbee, LTE, GPS) and optimize power consumption for long-life sensors.
  • Contribute to next-gen platform architecture, including edge processing and smarter sensor workloads.
  • Bring up new hardware platforms - sensors, radios, boards - and collaborate with hardware engineers on system validation.
  • Prototype new ideas, test their limits, and iterate quickly.
  • Strengthen system diagnostics so the devices tell us what's happening before anything becomes a problem.
  • Support field engineering, manufacturing, and operations with tools, scripts, and deployment workflows.

Who You Are and What You Bring
  • 5+ years building firmware for embedded systems or IoT devices.
  • Deep experience in C/C++, RTOS development, drivers, peripherals, power management, and system-level thinking.
  • Strong understanding of IoT wireless technologies including BLE, Zigbee, LTE, GPS, and mesh-like networks.
  • Comfortable maintaining legacy systems while also designing cleaner, modern solutions.
  • You enjoy debugging - logic analyzers, scopes, JTAG, weird edge cases, intermittent failures - all of it.
  • Experience with RTOS or embedded Linux (Yocto, Ubuntu).
  • Clear communicator who enjoys collaborating with hardware, cloud, and product teams.
  • Based in the Greater Boston area for hybrid onsite work.
  • Experience with AWS IoT, Azure IoT, or Google Cloud IoT is strongly preferred.

Desired But Not Required
  • Experience with Digi XBee modules or mesh networking.
  • Interest in TinyML, edge inference, or embedded analytics.
  • Background in ultra-low-power design.
  • Experience working in regulated or compliance-driven environments.

*Please note that we are unable to provide visa sponsorship for this position. This includes, but is not limited to, work visas, employment-based visas, or residency sponsorship. Candidates must have valid work authorization in the United States at the time of application. Visa applications of any kind will not be considered.
Digi International offers a distinctive Total Rewards package including a short-term incentive program, new hire stock award, paid parental leave, open (uncapped) PTO, and hybrid work environment in addition to our competitive medical, health & wellbeing and compensation offerings.
The anticipated base pay range for this position is $105,000 - $164,000. Pay ranges are determined by role, job level and primary job location. The range displayed reflects the reasonable range we anticipate paying for this position and reflects the cost of labor within several U.S. geographic markets. The specific salary offered within the range will depend on various factors including, but not limited to the candidate's relevant and prior experience, education, skills, and primary work location. It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each position. Pay ranges are typically reviewed and updated annually.
At Digi, we embrace diversity and inclusion among our teammates. It is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. We are committed to providing an environment of respect where equal employment opportunities are available to all applicants and teammates.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

Digi logo

About Digi

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US