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Remote Embedded System Design Jobs in Detroit, MI

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Contribute to the design, development, and deployment of robust machine learning models for ... devices/embedded systems. * White-box understanding of classical ML algorithms (SVMs, HMMs ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · Remote

$126K - $180K/yr

Contribute to the design, development, and deployment of robust machine learning models for ... devices/embedded systems. * White-box understanding of classical ML algorithms (SVMs, HMMs ...

EnerSys

Application Security Engineer (REMOTE)

Novi, MI · Remote

$117K - $146K/yr

... design, development, deployment, and operations. Conduct application security assessments, code ... Experience securing embedded systems and mobile applications. Reasoning Ability Problem management ...

Mercor

Vehicle Design Specialist - AI Trainer

Detroit, MI · On-site +1

$1.1K - $1.4K/wk

Remote Role Responsibilities * Build a realistic digital workspace centered on the Drive folders ... Your work directly informs how leading labs train and evaluate the next generation of AI systems

Centroid Systems, Inc.

OCI Architect

Troy, MI · On-site +1

... Remote Job Type: Full Time employee, CTH, or Contract * Architect end-to-end OCI solutions for ... EBS 12.1/12.2 on OCI: architecture patterns, shared file system design, wallet-based DB ...

Centroid Systems, Inc.

OCI Architect

Troy, MI · Remote

... Remote Job Type: Full Time employee, CTH, or Contract * Architect end-to-end OCI solutions for ... EBS 12.1/12.2 on OCI: architecture patterns, shared file system design, wallet-based DB ...

Utilidata

Software Engineer, On Device

Ann Arbor, MI · On-site +1

$120K - $150K/yr

Demonstrated ability to design and implement distributed systems utilizing microservices in a ... remote work. Our Commitments: Utilidata values the diversity of our team. We provide equal ...

Utilidata

Software Engineer, On Device

Ann Arbor, MI · Remote

$120K - $150K/yr

Demonstrated ability to design and implement distributed systems utilizing microservices in a ... remote work. Our Commitments: Utilidata values the diversity of our team. We provide equal ...

Varsity Tutors

C++ Tutor

Detroit, MI · Remote

$18 - $40/hr

Skilled at breaking down pointer arithmetic, class hierarchy design, and template metaprogramming ... systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

Varsity Tutors

C++ Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Skilled at breaking down pointer arithmetic, class hierarchy design, and template metaprogramming ... systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

Centroid Systems, Inc.

Oracle Linux Engineer

Troy, MI · On-site +1

... systems architecture and design support, and ongoing system maintenance. This role operates in a ... Job Type: Full-Time Employee Location: 100% Remote Job Requirements * Perform intermediate- to ...

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All JobsEmbedded System Design JobsRemote Embedded System Design JobsRemote Embedded System Design Jobs in Detroit, MI

Remote Embedded System Design information

See Detroit, MI salary details

$61.9K

$135.9K

$190.1K

How much do remote embedded system design jobs pay per year?

As of Jul 8, 2026, the average yearly pay for remote embedded system design in Detroit, MI is $135,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,400.00 and $161,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Embedded System Designer, and why are they important?

To thrive as a Remote Embedded System Designer, you need a solid background in electronics engineering, embedded programming (such as C/C++), and experience with microcontrollers or FPGA architectures, typically backed by a relevant degree. Familiarity with tools like MATLAB, Simulink, Altium Designer, and version control systems, along with certifications like Certified Embedded Systems Engineer, is often required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help professionals excel in distributed teams. These capabilities ensure the efficient development, testing, and deployment of reliable embedded systems in a remote work environment.

What are some common challenges faced by remote embedded system design engineers, and how can they be addressed?

Remote embedded system design engineers often encounter challenges such as limited access to physical hardware for testing, communication barriers with cross-functional teams, and coordinating firmware updates across different environments. These can be addressed by utilizing remote access tools, simulation environments, and efficient project management platforms to facilitate collaboration and testing. Regular virtual meetings and clear documentation also help ensure alignment with hardware teams and smooth integration throughout the project lifecycle.

What is the difference between Remote Embedded System Design vs Remote Firmware Developer?

AspectRemote Embedded System DesignRemote Firmware Developer
CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related fields; knowledge of hardware and software integrationBachelor's in Computer Science, Electrical Engineering, or related; proficiency in programming languages like C/C++
Work EnvironmentDesigning hardware-software systems, often collaborating with hardware teamsWriting and testing firmware code for embedded devices
Industry UsageElectronics, IoT, automotive, aerospaceConsumer electronics, IoT, medical devices

Remote Embedded System Design focuses on creating integrated hardware and software solutions, while Remote Firmware Developer primarily writes and tests firmware code. Both roles require technical skills but differ in their core responsibilities and work focus.

What is remote embedded system design?

Remote embedded system design involves creating and developing embedded systems—specialized computing hardware and software that perform dedicated functions—while working from a location outside of the traditional office or laboratory. Professionals in this field use remote collaboration tools to design, develop, test, and troubleshoot embedded hardware and firmware for devices like IoT gadgets, medical devices, automotive systems, and industrial controllers. This remote approach allows teams to work together across different geographic locations, leveraging cloud-based development environments and hardware simulation tools to ensure seamless integration and functionality.
What are popular job titles related to Remote Embedded System Design jobs in Detroit, MI? For Remote Embedded System Design jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Remote Embedded System Design jobs in Detroit, MI look for? The top searched job categories for Remote Embedded System Design jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Remote Embedded System Design jobs? Cities near Detroit, MI with the most Remote Embedded System Design job openings:
Remote Embedded System Design jobs near you
Infographic showing various Remote Embedded System Design job openings in Detroit, MI as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $135,896 per year, or $65.3 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Canopy

Detroit, MI • On-site, Remote

$126K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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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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