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Remote Embedded Engineer Jobs in Michigan (NOW HIRING)

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... devices/embedded systems. * White-box understanding of classical ML algorithms (SVMs, HMMs ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

EnerSys

Application Security Engineer (REMOTE)

Novi, MI · Remote

$117K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Purpose The Application Security Engineer is responsible for strengthening the security of our ... Experience securing embedded systems and mobile applications. Reasoning Ability Problem management ...

Crowe LLP

AI Solutions Consulting Lead

Grand Rapids, MI · On-site +1

  • PTO

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... About Forward Deployed Engineering The Forward Deployed Engineering (FDE) Practice partners with ...

Utilidata

Software Engineer, On Device

Ann Arbor, MI · On-site +1

$120K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... for embedded systems, and deployment in real-world, intermittently connected environments ... remote work. Our Commitments: Utilidata values the diversity of our team. We provide equal ...

Deloitte

System Test and Validation Lead

Detroit, MI · On-site +1

Bachelor's degree in business, information systems, computer science, engineering, or equivalent ... This compensation range is specific to a remote role and takes into account the wide range of ...

Deloitte

System Test and Validation Lead

Detroit, MI · On-site +1

Bachelor's degree in business, information systems, computer science, engineering, or equivalent ... This compensation range is specific to a remote role and takes into account the wide range of ...

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All JobsEmbedded Engineer JobsRemote Embedded Engineer JobsRemote Embedded Engineer Jobs in Michigan

Remote Embedded Engineer information

What is a remote embedded engineer?

A Remote Embedded Engineer is a professional who designs, develops, and maintains embedded systems, such as microcontrollers or specialized hardware, while working from a location outside the traditional office environment. They use programming languages like C or C++ to create software that interacts directly with hardware components. Remote Embedded Engineers often collaborate with teams using online tools, manage tasks independently, and ensure the reliability and efficiency of embedded systems across industries such as automotive, medical devices, or IoT. Their work enables connectivity and functionality in a wide range of smart devices.

What are the key skills and qualifications needed to thrive as a remote embedded engineer?

To thrive as a Remote Embedded Engineer, you need expertise in embedded systems design, proficiency in programming languages like C/C++, and a background in electrical or computer engineering. Familiarity with microcontrollers, real-time operating systems (RTOS), hardware debugging tools, and version control systems such as Git is typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills make candidates stand out in this role. These competencies are vital to ensure reliable embedded solutions, efficient project collaboration, and independent productivity in a remote environment.

How do remote embedded engineers typically collaborate with hardware teams when working off-site?

Remote Embedded Engineers often use a combination of version control systems, video conferencing, and remote desktop tools to stay in sync with hardware teams. They may participate in daily standups, share code and test results through collaborative platforms, and sometimes use hardware simulators or remote lab access for testing. Regular documentation and clear communication are key, as are scheduled sync meetings to address integration issues and align project milestones. This structure helps ensure smooth coordination despite physical distance.

What is the difference between Remote Embedded Engineer vs Remote Firmware Engineer?

AspectRemote Embedded EngineerRemote Firmware Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related; experience with embedded systemsBachelor's in Electrical Engineering, Computer Engineering, or related; experience with firmware development
Work EnvironmentDesigning and developing embedded hardware/software, often in R&D or product development teamsWriting low-level code for hardware devices, often in manufacturing or product support
Industry UsageElectronics, IoT, automotive, consumer devicesConsumer electronics, IoT, industrial equipment
Common Search/ComparisonRemote Embedded EngineerRemote Firmware Engineer

Both roles focus on embedded systems but differ mainly in scope. Remote Embedded Engineers work on both hardware and software integration, while Remote Firmware Engineers specialize in low-level firmware coding. The choice depends on whether the focus is on hardware-software integration or firmware development.

What are the most commonly searched types of Embedded Engineer jobs in Michigan?

The most popular types of Embedded Engineer jobs in Michigan are:

What cities in Michigan are hiring for Remote Embedded Engineer jobs?

Cities in Michigan with the most Remote Embedded Engineer job openings:

Remote Embedded Engineer jobs near you
Infographic showing various Remote Embedded Engineer job openings in Michigan as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Senior Machine Learning Engineer

Canopy

Detroit, MI • On-site, Remote

$126K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

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Company rating: 6.8 out of 10

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Job description

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat vehicle and content theft. In this senior role, you'll play a pivotal part in shaping our AI roadmap, mentoring junior engineers, and influencing system architecture decisions. This is a high-impact role with visibility across engineering and product leadership.
Responsibilities:
  • Contribute to the design, development, and deployment of robust machine learning models for production use in real-world security applications.
  • Develop within the full machine learning lifecycle; from problem definition to data pipeline design, model development, validation, deployment, and monitoring.
  • Establish and refine best practices in our ML system architecture, CI/CD pipelines for ML, and reproducible research methodologies.
  • Collaborate with cross-functional stakeholders including product managers, data engineers, and MLOps teams to ensure seamless model integration and delivery.
  • Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar, accelerometer) to derive insights and guide modeling strategies.
  • Stay ahead of industry advancements in machine learning, AI sensing, and signal processing, incorporating the latest innovations into Canopy's technology stack.
  • Mentor and guide junior engineers and contribute to the hiring process and technical reviews.

Requirements
  • 5+ years of professional experience developing and implementing ML for perception systems with expertise in at least one of either RADAR, camera, or LiDAR.
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or TensorFlow.
  • Proven ability to develop production-grade ML applications for training, evaluation and inference on large-scale datasets.
  • Experience creating C/C++ applications utilizing modern language features and build systems, preferably for porting ML inference applications from Python to edge devices/embedded systems.
  • White-box understanding of classical ML algorithms (SVMs, HMMs, Decision Trees) and modern neural network models and architectures (CNNs, transformers) with significant experience applying them for perception systems.
  • Experience implementing and applying dynamic object tracking, with experience using sensor fusion as a preference.
  • Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and services, virtual computers and clusters.
  • Proficiency in signal processing techniques such as time/frequency-domain processing (e.g. Fourier Transform), filtering, and noise reduction.
Preferred Qualifications:
  • Experience in deploying models to edge hardware, including experience with PyTorch and ONNX and model compression techniques, e.g. quantisation and pruning.
  • Experience using cloud computing platforms, e.g., AWS or GCP.
  • Experience with MATLAB for algorithm prototyping and research.
  • Experience with Docker or containerisation.
  • Reside within the Detroit area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.

Benefits
  • Comprehensive medical benefits coverage, dental plans and vision coverage.
  • Health care and dependent care spending accounts.
  • Employee and Family Assistance Program (EAP).
  • Employee discount programs.
  • Retirement plan with a generous company match.
  • Generous Paid Time Off, Sick, and Holidays
  • Family Leave (Maternity, Paternity)
  • Short- and long-term disability
  • Life insurance and accidental death & dismemberment insurance

Compensation Range
Compensation may vary depending on skills and experience.
Base Salary: $126,000 - $180,000
Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.
Equal Opportunity: Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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