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Senior Embedded Machine Learning Jobs in Massachusetts

Bevi

Senior Embedded Engineer

Boston, MA · Hybrid

$134K - $176K/yr

We're searching for a Senior Embedded Engineer excited to join our embedded team, where we build ... You'll advance the firmware architecture behind our first-to-market smart water machine and drive ...

Motional

Senior Embedded Software Engineer

Boston, MA · On-site +1

$134K - $176K/yr

... machine learning, sensors, and hardware compute platforms to evolve Motional's next-generation on ... If you are a software engineer and love the idea of working on embedded AI hardware and software ...

RISE Robotics

Sr. Embedded Software Engineer

Somerville, MA · On-site

$135K - $177K/yr

RISE Robotics is leading the way to Zero Emission heavy machinery by providing the world's most ... As a Senior Embedded Software Engineer, you'll play a pivotal role in the development and ...

RISE Robotics

Sr. Embedded Software Engineer

Somerville, MA · Hybrid

$135K - $177K/yr

RISE Robotics is leading the way to Zero Emission heavy machinery by providing the world's most ... As a Senior Embedded Software Engineer, you'll play a pivotal role in the development and ...

RISE Robotics

Sr. Embedded Software Engineer

Somerville, MA · On-site

$135K - $177K/yr

RISE Robotics is leading the way to Zero Emission heavy machinery by providing the world's most ... As a Senior Embedded Software Engineer, you'll play a pivotal role in the development and ...

10Beauty

Senior Embedded Test Engineer

Boston, MA · On-site

Job Summary : 10Beauty is a robotics startup based in Burlington, MA, focused on creating fully autonomous manicure machines. They are seeking a Senior Embedded Test Engineer to establish and lead ...

Cognex

Senior Machine Learning Engineer

Natick, MA

$115K - $225K/yr

Cognex is a global leader in the exciting and growing field of machine vision. Our employees ... The team works across custom hardware, optimized embedded systems, and nextgeneration algorithm ...

SimpliSafe

Staff Embedded ML Engineer, Edge AI

Boston, MA · On-site

$142K - $187K/yr

About the Role We are seeking a highly motivated and experienced Embedded Machine Learning Engineer to join our growing Edge AI team. As a key contributor, you will lead the on-device inference and ...

Axon

Senior Machine Learning Scientist

Boston, MA

$99K - $135K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... IoT devices, or embedded systems is highly desirable. * Excellent problem-solving skills ...

SimpliSafe

Staff Embedded ML Engineer, Edge AI

Boston, MA · On-site

$142K - $187K/yr

About the Role We are seeking a highly motivated and experienced Embedded Machine Learning Engineer to join our growing Edge AI team. As a key contributor, you will lead the on-device inference and ...

SimpliSafe

Staff Embedded ML Engineer, Edge AI

Boston, MA

$142K - $187K/yr

About the Role We are seeking a highly motivated and experienced Embedded Machine Learning Engineer to join our growing Edge AI team. As a key contributor, you will lead the on-device inference and ...

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Senior Embedded Machine Learning information

What is the difference between Senior Embedded Machine Learning vs Embedded Software Engineer?

AspectSenior Embedded Machine LearningEmbedded Software Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML and embedded systemsBachelor's in CS, EE, or related; strong programming skills in C/C++
Work EnvironmentDeveloping ML models for embedded devices, hardware integrationDesigning and implementing embedded software for devices
Industry UsageAI/ML-focused companies, IoT, consumer electronicsAutomotive, industrial, consumer electronics

While both roles involve embedded systems, Senior Embedded Machine Learning focuses on integrating ML models into hardware, requiring knowledge of AI and data science. Embedded Software Engineers primarily develop software for embedded devices, emphasizing firmware and system-level programming. The roles overlap in embedded environment skills but differ in their core focus on AI versus traditional software development.

What are some common challenges faced by Senior Embedded Machine Learning Engineers when deploying models on edge devices?

Senior Embedded Machine Learning Engineers often encounter challenges such as optimizing model size and inference speed to fit within the limited computational resources and memory of edge devices. Balancing accuracy and performance while minimizing power consumption is critical, especially for battery-operated products. Additionally, integrating models with existing embedded software and ensuring reliable, real-time operation can require close collaboration with hardware and firmware teams. Staying current with advancements in model compression and hardware acceleration is also essential for success in this role.

What are the key skills and qualifications needed to thrive as a Senior Embedded Machine Learning Engineer, and why are they important?

To thrive as a Senior Embedded Machine Learning Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often backed by an advanced degree in computer science or electrical engineering. Familiarity with tools such as TensorFlow Lite, ONNX, and embedded hardware platforms (e.g., ARM Cortex-M, NVIDIA Jetson) is typically required. Strong problem-solving, project management, and communication skills distinguish top performers in this role. These capabilities are crucial for efficiently deploying optimized machine learning models on resource-constrained devices and effectively collaborating across multidisciplinary teams.

What does a Senior Embedded Machine Learning engineer do?

A Senior Embedded Machine Learning engineer designs, develops, and optimizes machine learning models to run efficiently on resource-constrained embedded devices such as microcontrollers, IoT devices, and edge hardware. They are responsible for integrating ML algorithms with embedded systems, ensuring low latency and minimal power consumption. Their work often involves collaborating with hardware engineers and software developers to deploy intelligent features in products like smart sensors, wearables, and autonomous systems.
What are the most commonly searched types of Embedded Machine Learning jobs in Massachusetts? The most popular types of Embedded Machine Learning jobs in Massachusetts are:
Senior Embedded Machine Learning jobs near you
Senior Embedded Software Engineer

Senior Embedded Software Engineer

Viant Technology

Boston, MA • On-site

$140K - $160K/yr

Full-time

Medical, PTO

Posted 17 days ago

Job description

WHAT YOU'LL DO
Viant's TVision team is redefining television and video audience measurement through a unique combination of computer vision, content recognition, identity-safe measurement, and advanced analytics. Our proprietary technology measures real-world viewer engagement and attention across millions of hours of video content, helping advertisers, publishers, and media owners better understand audience behavior.
As a Senior Embedded Software Engineer on the TVision Meter Platform team, you will help define the next generation of TVision's audience measurement devices. Working at the intersection of embedded hardware, edge AI, computer vision, and Linux systems, you will evaluate emerging hardware platforms, deploy and optimize computer vision models, and build the software that powers our privacy-first measurement technology. This role is ideal for an engineer who enjoys rapidly prototyping solutions, working close to the hardware, and solving complex performance challenges across CPU, GPU, memory, and AI accelerator architectures.
THE DAY-TO-DAY
  • Evaluate CPUs, GPUs, NPUs, and embedded computing platforms to identify the optimal architecture for future TVision measurement devices.
  • Benchmark computer vision and deep learning workloads across multiple hardware platforms to drive hardware selection and cost optimization decisions.
  • Prototype and validate edge AI solutions using platforms such as NVIDIA Jetson, Intel Atom, Coral TPU, Rockchip NPU, Qualcomm, and emerging accelerator technologies.
  • Deploy, optimize, and support multiple computer vision and machine learning models running concurrently on embedded devices.
  • Analyze system performance including compute utilization, memory consumption, thermal characteristics, power efficiency, and inference latency.
  • Develop software and systems-level applications in Python and C/C++ to support measurement, device management, and computer vision models.
  • Work closely with Linux operating system components, including system services, kernel interfaces, device drivers, and hardware integration layers.
  • Collaborate with Computer Vision, Data Science, and Platform Engineering teams to translate research models into scalable edge deployments.
  • Rapidly prototype, test, and iterate on hardware and software solutions to improve device capabilities while reducing platform costs.
  • Influence the long-term hardware roadmap through hands-on evaluation, proof-of-concept development, and technical recommendations

QUALIFICATIONS AND REQUIREMENTS
  • Bachelor's degree in Computer Science, Mathematics, Electrical Engineering, or a related technical field.
  • 5+ years of experience developing embedded, IoT, edge computing, or embedded AI systems.
  • Experience deploying computer vision or deep learning models on edge devices.
  • Strong understanding of microprocessors (CPU, GPU, etc.), memory, storage, and system architecture tradeoffs.
  • Strong Python development skills and the ability to rapidly prototype and validate technical concepts.
  • Experience developing embedded applications and systems software in C/C++.
  • Familiarity with Linux kernel interfaces, system services, device drivers, and low-level system troubleshooting.
  • Experience developing on TensorFlow or Pytorch
  • Experience with AI inference optimization technologies such as TensorRT, OpenVINO, ONNX Runtime, TensorFlow Lite, or similar frameworks.

LIFE AT VIANT
  • Investing in our employee's professional growth is important to us, but so is investing in their well-being. That's why Viant was voted one of the BEST PLACES TO WORK!
  • Some our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more. View a list of our benefits here.

Base compensation range: $140,000 - $160,000
In accordance with California law, the range provided is Viant's reasonable estimate of the compensation for this role. Final title and compensation for the position will be based on several factors including work experience and education.
Not the right position for you? Check out our other opportunities!
Viant Careers
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About Viant
Viant Technology (NASDAQ: DSP) is an exclusively buy-side, AI-powered advertising platform purpose-built for CTV. Viant uniquely combines proprietary content intelligence, household-level identity resolution, and person-level attention signals to connect advertisers with real customers and drive measurable outcomes across the open internet. Through its award-winning AI solutions, Viant is building the future of autonomous advertising, where AI doesn't just assist the campaign, it delivers real results. Learn more at viantinc.com.
Viant is an equal opportunity employer and makes employment decisions on the basis of merit. Viant prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, reproductive health decision making, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. Viant also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.
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