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Online Iot Software Developer Jobs in Rochester Hills, MI

Ford Motor Company

Software Engineer

Redford, MI · On-site

Proven experience deploying software to edge computing hardware or IoT devices. * Backend Mastery ... Experience building responsive web applications with React or similar modern frameworks. * DevOps ...

Groundedrvs

Senior Software Engineer

Detroit, MI · On-site

$120 - $170/hr

Senior Software Engineer -- Grounded Detroit, MI (in-person) About Grounded Grounded is a 25-person ... Embedded / IoT / fleet telemetry experience * Experience with CAD automation, parametric design, or ...

SecondTalent

Digital Twin Developer

Detroit, MI · On-site

$85 - $110/hr

These professionals combine expertise in software development, data science, IoT integration, and ... Continuous learning through online courses, bootcamps, and professional development * Participation ...

Saanvi Technologies

Mainframe Software Engineer

Dearborn, MI · On-site

$45 - $58/hr

... with both Online and Batch Programs. You must be highly proficient at quickly tracing through ... Senior Software Engineer Exp: Maintaining complex Legacy Code 10+ years in IT; 10+ years in COBOL ...

Ford Motor Company

Software Engineer

Dearborn, MI · Hybrid

$99K - $166K/yr

Prior experience in the automotive, connected vehicle, or IoT industry, particularly with over-the ... With a dedicated 40% focus on DevOps and Infrastructure-as-Code, you will have the autonomy to ...

Ford

ServiceNow Software Developer

Dearborn, MI · On-site

$87 - $145/hr

We are looking for a ServiceNow Software Developer to join a team responsible for maintaining and ... In the United States, if you need a reasonable accommodation for the online application process due ...

Aptiv

Embedded Software Lead

Troy, MI · On-site

You will combine deep hands-on engineering expertise with strong people leadership, guiding a high ... and IoT platform, including vehicle data acquisition, cloud telemetry, data upload, and OTA ...

Aptiv PLC

Embedded Software Lead

Troy, MI · On-site

You will combine deep hands-on engineering expertise with strong people leadership, guiding a high ... and IoT platform, including vehicle data acquisition, cloud telemetry, data upload, and OTA ...

Aptiv PLC

Embedded Software Lead

Troy, MI · On-site

$120 - $150/hr

You will combine deep hands-on engineering expertise with strong people leadership, guiding a high ... and IoT platform, including vehicle data acquisition, cloud telemetry, data upload, and OTA ...

New

Whisker

Senior Software Engineer

Auburn Hills, MI · On-site

$115K - $152K/yr

The Senior Software Engineer, Platform builds and operates the shared services, pipelines, and ... AWS IoT Core and streaming/event infrastructure for a large connected-device fleet * Databricks as ...

Whisker

Senior Software Engineer

Auburn Hills, MI · On-site

$115K - $152K/yr

The Senior Software Engineer, Platform builds and operates the shared services, pipelines, and ... AWS IoT Core and streaming/event infrastructure for a large connected-device fleet * Databricks as ...

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Showing results 21-40

All JobsOnline Iot Software Developer JobsOnline Iot Software Developer Jobs in Rochester Hills, MI

Online Iot Software Developer information

See Rochester Hills, MI salary details

$44.2K

$102.9K

$152.8K

How much do online iot software developer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for online iot software developer in Rochester Hills, MI is $102,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,800.00 and $119,700.00 per year, depending on experience, location, and employer.

Are online IoT software developers in demand?

Online IoT software developers are in high demand due to the growing adoption of connected devices and smart technology across industries. Skills in programming, cloud platforms, and security are particularly valuable, and job opportunities are expanding as IoT solutions become more integrated into daily life and business operations.

How much do online IoT software developers make?

Online IoT software developers typically earn between $80,000 and $130,000 annually, depending on experience, location, and skill set. Developers with expertise in embedded systems, cloud platforms, and programming languages like Python or C++ tend to command higher salaries, especially in competitive markets.

How to become an online IoT software developer?

To become an online IoT software developer, you should gain programming skills in languages like Python, C++, or Java, and understand IoT protocols such as MQTT and CoAP. Building experience with embedded systems, cloud platforms, and hardware integration is essential, along with obtaining relevant certifications or completing specialized training. Strong problem-solving skills and familiarity with development tools like Git and IoT development kits are also important.

Is online IoT software developer a high paying job?

Online IoT software developers typically earn competitive salaries due to the specialized skills required in embedded systems, cloud integration, and programming languages like Python or C++. Salaries vary based on experience, location, and certifications, but the role is generally considered well-paying within the tech industry. Advanced knowledge of IoT platforms and security can further increase earning potential.
Online Iot Software Developer jobs near you

Software Engineer

Ford Motor Company

Redford, MI • On-site

Full-time

Re-posted 16 days ago

Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers

Job description

We are seeking an experienced Full-Stack Software Engineer to build the software ecosystem powering our next-generation AI Vision Systems. You will develop the "connective tissue" between high-performance machine learning models running on edge hardware and our Google Cloud-based analytics backend. This is a hands-on role for an engineer who is passionate about bringing AI out of the lab and into the real world.

Required Qualifications:

  • Experience: 3+ years of professional software engineering experience in a production environment.
  • Edge Development: Proven experience deploying software to edge computing hardware or IoT devices.
  • Backend Mastery: Strong proficiency in Python (required) and at least one other language (C++, Go, or Node.js).
  • Cloud Fluency: Experience building on Google Cloud Platform (GCP) or similar (AWS/Azure), specifically with managed database services.
  • Modern Frontend: Experience building responsive web applications with React or similar modern frameworks.

  • DevOps Basics: Familiarity using docker as the key configuration, build, and deploy mechanism, CI/CD pipelines and disciplined version control approach (GIT based)

Desired Skills:

  • Experience with OpenCV, TensorRT, or OpenVINO for vision optimization.
  • Familiarity with ML frameworks like PyTorch or TensorFlow.
  • Knowledge of industrial protocols (MQTT, WebSockets) for real-time data streaming.
  • A passion for "Agentic" workflows and continuous improvement.

Responsibilities:

  • Edge Software Integration: Develop and optimize software to deploy machine learning models on edge devices (NVIDIA Jetson/Thor), ensuring low-latency performance for real-time vision tasks.
  • Full-Stack API Development: Build scalable RESTful APIs and microservices (Python/C++) that allow edge devices to communicate seamlessly with cloud backends.
  • Data Architecture: Design and manage data pipelines using Google Cloud tools (BigQuery, Postgres) to handle real-time image/video data and model telemetry.
  • Web Interfaces: Create intuitive, high-performance web-based dashboards (React/TypeScript) for monitoring system health and visualizing AI-driven insights.
  • AI-Augmented Engineering: Heavily leverage Agentic AI tools and LLM-assisted workflows to accelerate development cycles and maintain high code quality.
  • Incremental and Iterative Delivery: Work with the team and key stakeholders to find and deliver product increments in an iterative way, taking reasonable risks, validating key hypothesis, and learning continuously
  • Cross-Functional Deployment: Collaborate with Data Scientists to containerize models (Docker/Kubernetes) and with Hardware Engineers to validate performance on the factory floor.

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