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Remote Sensor Fusion Engineer Jobs in Minnesota (NOW HIRING)

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Lead Engineer - Insider Risk

Minneapolis, MN · On-site +1

$132K - $238K/yr

Cross train with other teams within the Cyber Fusion Center such as Cyber Threat Intelligence ... A Remote work arrangement means the team member worksfull-time from home oran alternatelocation ...

Accelint

Teamcenter Application Developer

Saint Paul, MN · On-site +1

$125.51K - $148.77K/yr

... and sensor technologies. SIE develops resilient, integrated systems that enhance situational ... Teamcenter Application Developer * Full Time * Remote or Hybrid The Teamcenter Application ...

Accelint

Teamcenter Application Developer

Saint Paul, MN · On-site +1

$125.51K - $148.77K/yr

... and sensor technologies. SIE develops resilient, integrated systems that enhance situational ... Teamcenter Application Developer * Full Time * Remote or Hybrid The Teamcenter Application ...

Accelint

Teamcenter Functional Architect

Saint Paul, MN · On-site +1

$155.40K - $188.58K/yr

This role is part of our Systems Innovation Engineering (SIE) division, which specializes in ... Teamcenter Functional Architect * Full Time * Remote or Hybrid The Teamcenter Functional Architect ...

Accelint

Teamcenter Functional Architect

Saint Paul, MN · On-site +1

$155.40K - $188.58K/yr

This role is part of our Systems Innovation Engineering (SIE) division, which specializes in ... Teamcenter Functional Architect * Full Time * Remote or Hybrid The Teamcenter Functional Architect ...

Accelint

Teamcenter Data Architect

Saint Paul, MN · On-site +1

$113.48K - $154.77K/yr

This role is part of our Systems Innovation Engineering (SIE) division, which specializes in ... Teamcenter Data Architect * Full Time * Remote or Hybrid The Teamcenter Data Architect plays a key ...

Accelint

Teamcenter Data Architect

Saint Paul, MN · On-site +1

$113.48K - $154.77K/yr

This role is part of our Systems Innovation Engineering (SIE) division, which specializes in ... Teamcenter Data Architect * Full Time * Remote or Hybrid The Teamcenter Data Architect plays a key ...

Digi

Web Designer (Remote - US)

Hopkins, MN · On-site +1

$63K - $99K/yr

Today, our IoT offerings include sensor-based solutions, a sophisticated platform for remotely ... Are developers adapting their skills to AI-assisted development environments * You enjoy solving ...

All JobsRemote Sensor Fusion Engineer JobsRemote Sensor Fusion Engineer Jobs in Minnesota

Remote Sensor Fusion Engineer information

What are the key skills and qualifications needed to thrive as a Remote Sensor Fusion Engineer, and why are they important?

To thrive as a Remote Sensor Fusion Engineer, you need a solid background in signal processing, mathematics, and experience with sensor technologies, often supported by a degree in electrical engineering, robotics, or a related field. Familiarity with programming languages like Python or C++, sensor simulation tools, and frameworks such as ROS (Robot Operating System) is typically required. Strong problem-solving abilities, analytical thinking, and effective communication are crucial soft skills for collaborating remotely and integrating complex data sources. These skills and qualifications are essential for developing reliable sensor fusion algorithms that enable accurate perception in autonomous or remote systems.

What are some typical challenges faced by Remote Sensor Fusion Engineers when integrating data from multiple sensors?

Remote Sensor Fusion Engineers often encounter challenges such as handling data discrepancies due to varying sensor resolutions, synchronization issues caused by different sensor update rates, and managing sensor noise or data loss. Ensuring that the fused data is both reliable and processed in real-time for downstream applications can be complex, especially in distributed or remote environments. Effective collaboration with hardware engineers, software developers, and data scientists is essential to address these challenges and optimize system performance.

What does a Remote Sensor Fusion Engineer do?

A Remote Sensor Fusion Engineer is responsible for integrating and analyzing data from multiple sensors, such as cameras, radars, and lidars, to create a comprehensive and accurate understanding of an environment. This role is essential in fields like autonomous vehicles, robotics, and IoT systems, where precise situational awareness is critical. As a remote position, the engineer collaborates with cross-functional teams using digital tools to design algorithms, test sensor data integration, and improve system performance from a remote location.

What is the difference between Remote Sensor Fusion Engineer vs Remote Data Scientist?

AspectRemote Sensor Fusion EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; experience with sensor systems and fusion algorithmsBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming and statistical analysis
Work EnvironmentDevelops algorithms for sensor data integration, often in robotics, autonomous vehicles, or aerospaceAnalyzes large datasets to extract insights, often in tech, finance, or healthcare sectors
Industry UsageUsed in industries like automotive, aerospace, defense, and roboticsCommon in tech companies, research institutions, and consulting firms

While both roles involve data analysis and programming, Remote Sensor Fusion Engineers focus on integrating sensor data for real-time applications in robotics and autonomous systems. Remote Data Scientists analyze large datasets for insights and decision-making. The roles share technical skills but differ in application and industry focus.

What are the most commonly searched types of Sensor Fusion Engineer jobs in Minnesota? The most popular types of Sensor Fusion Engineer jobs in Minnesota are:
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What cities in Minnesota are hiring for Remote Sensor Fusion Engineer jobs? Cities in Minnesota with the most Remote Sensor Fusion Engineer job openings:
Remote Sensor Fusion Engineer jobs near you

Network Detection Engineer

Futran Tech Solutions Pvt. Ltd.

Minneapolis, MN • On-site, Remote

Full-time

Posted 23 days ago

Job description

Title: Network Detection Engineer ( NDR )
Duration: Full Time
Location: Minneapolis MN / Remote
Network Detection Specialist Engineer
We are seeking a skilled engineer to support our Network Detection & Response (NDR) operations and build a modern health monitoring system for our Corelight security platform. This role is ideal for someone who blends security operations experience with strong automation and monitoring skills.
Key Responsibilities
Support day to day operations of the NDR platform, including sensor health, data flow monitoring, and alert handling.
Build and maintain a platform health monitoring solution using Grafana, Prometheus, InfluxDB, and API integrations.
Develop automation scripts in Python to collect system and application health metrics.
Create dashboards and alerts that provide real time visibility into system performance and uptime.
Work with Security Operations, Incident Response, and Network teams to ensure timely detection and resolution of issues.
Required Qualifications
Experience with network security tools, ideally Corelight, Endace, Zeek, or Suricata.
Strong Python skills, especially for automation and working with APIs.
Hands on experience with monitoring and visualization tools such as Grafana, Prometheus, and/or InfluxDB.
Solid understanding of general network concepts (e.g., TCP/IP, traffic flow, packet capture).
Background in SOC, NDR monitoring, or security operations is highly desirable.
Experience building dashboards, alerts, or custom data collectors.
Familiarity with containerized environments (Docker, Kubernetes).
Knowledge of API authentication and data integration best practices.
Required AI Skills:
- All resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities. This includes, but is not limited to:
-Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise.
-Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows.
-Continuous Learning: Stay current with evolving AI capabilities and features, and apply them to improve delivery

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