Siemens · 16 hours ago
Solution Engineer- Predictive Maintenance
Livonia, MI
Full-time
Hybrid
Mid, Senior Level
$102K/yr - $176K/yr
4+ years expSiemens is a global technology company focused on industry, infrastructure, transport, and healthcare. They are seeking a highly skilled and customer-focused Solution Engineer to support the implementation of Senseye’s Predictive Maintenance platform in industrial environments, tailoring solutions to client needs and ensuring seamless project execution.
Artificial Intelligence (AI)Cyber SecurityConsultingInternet of Things
No H1B
Responsibilities
Working with the Sales, Product, and Development teams to align customer needs with Senseye solutions
Develop detailed technical proposal documents, user guides, and training materials for internal and external stakeholders
Investigate, design, and document unique Predictive Maintenance (PdM) solutions for industrial clients across sectors like manufacturing, energy, and process industries
Plan for the seamless integration of IoT sensors, onsite OT & IT systems, and cloud-based supporting platforms with the Senseye application
Conduct training sessions, system demonstrations, and workshops to empower Siemens business units and end customers with the knowledge to maximize solution benefits
Provide expert knowledge and support of Senseye's capabilities during pre- and post-deployment stages
In person customer visits and international travel will be required
Qualification
Required
Bachelor's degree in Engineering (Electrical, Mechanical, Software), Computer Science, or a related field
4-10 years experience in Industrial or Manufacturing industry (Maintenance, Controls / Drives systems, Condition Monitoring, et al)
Strong knowledge of Industrial IoT (IIoT) systems, including protocols such as OPC UA, MQTT, or Modbus
Proficiency with cloud platforms like AWS, Azure, or Google Cloud
Must be fluent in verbal and written English Language
Legally authorized to work in the United States on a continual and permanent basis without company sponsorship
Preferred
Experience with condition monitoring and predictive maintenance methodologies and tools like Senseye PdM, asset monitoring systems, or similar
Hands-on experience with traditional condition monitoring techniques such as Vibration Analysis, Oil Analysis, High-Frequency Current Monitoring, Ultrasound, and Thermography
Knowledge of which condition monitoring data sets would be used to detect certain types of failures for common asset types
Familiarity with industrial machinery and rotating equipment (e.g., pumps, compressors, and turbines)
Fluency in Spanish language is desirable
Strong ability to perform technical investigations and recommend data-driven solutions
Company
Siemens
Siemens empowers customers to transform the industries that form the backbone of economies: industry, transportation, buildings and grids.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$7.01BKey Investors
US Department of Energy
2025-02-20Post Ipo Equity· $1.5B
2024-09-17Grant· $1.5M
2024-09-04Post Ipo Debt· $332.4M
Leadership Team
Cedrik Neike
CEO Digital Industries
Nicola Bates
President and CEO of Siemens Capital
Recent News
2026-02-12
2026-02-12
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