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Senior Embedded Machine Learning Jobs in Rochester, NY

Pwc

CTIO - AI Engineer- Senior Manager

Rochester, NY

$91K - $321K/yr

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

D3 Engineering

Engineering Program Manager

Rochester, NY · On-site

$101.10 - $146.70/hr

... machine learning. This position requires strong problem-solving skills, the ability to mentor and guide engineering teams. The Responsibilities * Lead a project team to develop an embedded system and ...

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Senior Embedded Machine Learning information

See Rochester, NY salary details

$74.5K

$142.8K

$190.9K

How much do senior embedded machine learning jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior embedded machine learning in Rochester, NY is $142,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,300.00 and $160,300.00 per year, depending on experience, location, and employer.

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 key skills and qualifications needed to thrive as a senior embedded machine learning engineer?

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 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 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 the most commonly searched types of Embedded Machine Learning jobs in Rochester, NY?

The most popular types of Embedded Machine Learning jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Senior Embedded Machine Learning jobs?

Cities near Rochester, NY with the most Senior Embedded Machine Learning job openings:

Senior Embedded Machine Learning jobs near you

Senior Embedded Software Engineer

D3 Embedded

Rochester, NY • On-site

$93K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 16 days ago

Job description

SENIOR EMBEDDED SOFTWARE ENGINEER
Department: Product Design Services 
FLSA Status: Exempt 
Reports to: Operations Manager
Pay Range: $93,000 - $125,000 annually 
Location: Rochester, NY 

The Role: 

D3 Embedded is seeking an experienced Senior Embedded Software Engineer to lead the design, development, and optimization of software for embedded systems. This role involves architecting and implementing firmware solutions, debugging complex system issues, and ensuring high performance and reliability. The ideal candidate has extensive experience with embedded C/C++, real-time operating systems (RTOS), Linux operating systems (Ubuntu, Yocto, etc), microcontroller architectures, System on Chip SoC architectures, and low-level hardware interactions. Strong problem-solving skills, leadership traits, and the ability to mentor junior engineers are essential. This position plays a critical role in driving innovation and advancing embedded technology in our products. 

The Responsibilities: 

  • All phases of the product development cycle including:  
  • requirements definition and architecture  
  • software design and development  
  • Software implementation  
  • hardware bring-up, software/hardware integration  
  • verification and validation, and customer support  
  • Embedded processors running real-time operating systems or Embedded Linux on custom electronics.   
  • Technical tasks including;   
  • assisting with board bring-up   
  • developing driver and application-level code   
  • system verification  
  • Conduct and oversee code reviews, unit testing, debugging, and software/hardware integration.  
  • Technical direction and leadership in a non-supervisory capacity for complex engineering projects 
  • Support project planning efforts including task definition and work effort.   
  • Develop and evaluate plans and criteria for various projects and activities you will do.  
  • Embedded Linux platforms  
  • Open-source Linux and associated SDKs  
  • GCC/GNU toolchain  
  • Developing & identifying tools / methods for better design reuse & process improvement 
  • Design reviews and technical oversight 
  • Coaching & mentoring less experienced engineers 

Additional Responsibilities: 

  • Other duties as assigned 

The Right Person Will Have: 

  • Bachelor of Science in Computer Science, Computer Engineering, Electrical Engineering discipline and/or equivalent years of experience 
  • Minimum 5 years of experience in Embedded Software role 
  • Excellent problem solving & troubleshooting skills. 
  • Ability to read schematics and debug digital hardware using oscilloscope, logic analyzer, or similar tools for troubleshooting. 
  • Experience writing embedded device drivers 
  • Experience debugging embedded platforms 
  • Knowledge of embedded software and firmware development, including C and C++. 
  • Up to date experience with Embedded Linux platforms, configuration, board support package, kernel drivers, and device tree 
  • Experience using GIT version control system 
  • Experience developing with GCC/GNU toolchain 
  • Experience with embedded camera and video processing is desirable. 
  • Self-Driven personality 
  • Capable of a big picture, system-oriented approach 
  • Solid technical leadership skills 
  • Strong communication and interpersonal skills. 

The Benefits: 

  • Competitive total compensation 
  • Medical and dental coverage 
  • Employer paid basic life, short-term disability, and identity theft coverage 
  • Voluntary vision, life, long-term disability, accident, critical illness coverage 
  • 401k retirement contribution 
  • Paid holidays, time-off, and sick time 
  • Tuition assistance and employer paid professional development 
  • Flexible work schedules 
  • Remote opportunities available 
  • Complimentary snacks and beverages 
  • Employer sponsored social events 

The Company: 

Since our founding in 1999, D3 Embedded has driven innovation in high-performance embedded systems development. We leverage our expertise in autonomous machines, sensors, imaging, optics, edge computing, algorithms, robotics, and electrification to provide cutting-edge engineering design and low-volume manufacturing services. Headquartered in Rochester NY, we serve a global network of customers and are proudly connected with many technology leaders and Fortune 500 companies. We are interested in bright, creative, and team-oriented individuals exhilarated by the opportunity to transform the world through frontier technologies. 

Candidates must be eligible to work in the United States.  D3 Embedded does not sponsor visas. For more information about D3 Embedded, please visit www.d3embedded.com. 

D3 Embedded is committed to fostering a diverse work environment and proud to be an Equal Opportunity Employer. We consider and hire applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state or local law. 

D3 Embedded participates in E-Verify, a federal program that confirms employment eligibility upon hire. 

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