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Sensor Application Engineer Jobs (NOW HIRING)

Skild AI

Robotics Application Engineer

San Mateo, CA

Position Overview We're looking for a hands-on, highly technical Robotics Application Engineer to ... Familiarity with vision systems, simulation tools, and sensor integration. * Strong analytical and ...

Humanoid

Field Application Engineer

Boston, MA · On-site

$100K - $130K/yr

About the Role We are seeking a skilled and motivated Field Application Engineer to support the ... Familiarity with software integration and sensor-based automation. * Experience with CAD modeling ...

Nova Ltd.

Application Engineer

Rio Rancho, NM · On-site

Experience in metrology, optics, semiconductors, or sensor technology is a plus. * 2-3 years of ... similar programming tools is preferred. * Be able to travel up to 25%, both domestic and ...

Socket.dev

Field Application Engineer

Imperial, PA · On-site

... and new sensor development. Requirements * Prepare, transport, set up, test, and operate the ... Work closely with field engineers, tool specialists, shop technicians, operations managers, and ...

Skild AI

Robotics Application Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

Position Overview We're looking for a hands-on, highly technical Robotics Application Engineer to ... Familiarity with vision systems, simulation tools, and sensor integration. * Strong analytical and ...

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Sensor Application Engineer information

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$50.5K

$110.7K

$152K

How much do sensor application engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for sensor application engineer in the United States is $110,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $135,000.00 per year, depending on experience, location, and employer.

What is a sensor application engineer?

Sensor Application Engineers are professionals who specialize in integrating, configuring, and optimizing sensors for various applications across industries such as automotive, manufacturing, healthcare, and consumer electronics. They work closely with clients and engineering teams to ensure sensors meet specific performance and environmental requirements. Their role often includes technical support, troubleshooting, and advising on sensor selection and implementation. Sensor Application Engineers also contribute to product development by testing and validating sensor technologies in real-world scenarios.

What skills and qualifications are needed to thrive as a sensor application engineer?

To thrive as a Sensor Application Engineer, you need a solid background in electrical engineering, sensor technologies, and data analysis, often supported by a relevant engineering degree. Familiarity with CAD tools, simulation software, and programming languages such as C/C++, along with knowledge of industry standards, is typically required. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams are vital soft skills in this role. These competencies ensure that sensor solutions are effectively designed, integrated, and optimized to meet complex application requirements.

How does a sensor application engineer typically collaborate with cross-functional teams during a product development cycle?

A Sensor Application Engineer frequently works with design, hardware, and software teams to integrate sensors into new or existing products. They communicate customer requirements, help troubleshoot integration issues, and ensure sensor performance aligns with project specifications. Regular meetings and clear documentation are essential to keep everyone aligned and resolve technical challenges quickly. This collaborative environment not only enhances product quality but also provides exposure to various disciplines, making it a valuable learning experience.

What is the difference between Sensor Application Engineer vs Sensor Design Engineer?

AspectSensor Application EngineerSensor Design Engineer
Required CredentialsBachelor's in Electrical, Mechanical, or related engineering; experience with sensorsBachelor's or Master's in Electrical, Mechanical, or Materials Engineering; focus on sensor development
Work EnvironmentCustomer-facing, troubleshooting, product integrationResearch and development, prototype design, testing
Industry UsageElectronics, automotive, industrial automationSensor manufacturing, R&D labs, product development
Common Search/ComparisonSensor Application Engineer vs Sensor Design Engineer

The main difference is that Sensor Application Engineers focus on integrating and troubleshooting sensors in real-world systems, while Sensor Design Engineers are involved in creating and developing new sensor technologies. Both roles require technical knowledge, but their daily tasks and objectives differ significantly.

Do sensor application engineers make good money?

Sensor application engineers typically earn competitive salaries that vary based on experience, location, and industry. They often have specialized skills in sensor technology, embedded systems, and programming, which can lead to higher compensation compared to general engineering roles. Advanced certifications and experience with specific sensor types or tools can further increase earning potential.

How to become a sensor application engineer?

To become a sensor application engineer, typically a bachelor's degree in electrical engineering, electronics, or a related field is required. Gaining experience with sensor technologies, circuit design, and programming skills in languages like C or Python is important, along with familiarity with testing and calibration tools. Certifications in embedded systems or sensor technologies can enhance job prospects.

What cities are hiring for Sensor Application Engineer jobs?

Cities with the most Sensor Application Engineer job openings:

What states have the most Sensor Application Engineer jobs?

States with the most job openings for Sensor Application Engineer jobs include:

What are popular job titles related to Sensor Application Engineer jobs?

For Sensor Application Engineer jobs, the most frequently searched job titles are:

Infographic showing various Sensor Application Engineer job openings in the United States as of September 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $110,698 per year, or $53.2 per hour.

Robotics Application Engineer

San Mateo, CA

Skild AI
See more jobs at Skild AIexternal

Full-time

Re-posted 24 days ago

Job description

Position Overview

We're looking for a hands-on, highly technical Robotics Application Engineer to work on the software that bridges our foundation models and real-world deployment. This role sits at the intersection of software development, systems integration, and operations - requiring a blend of technical depth and creative problem-solving. You'll translate complex real-world requirements into robust, deployable robotic solutions and collaborate closely with cross-functional teams to deliver and continuously improve them.

Responsibilities
  • Design, develop, and deploy software for robotic systems, including programming, configuration, and validation.
  • Integrate and deploy robotic software solutions into production environments.
  • Test, troubleshoot, and debug robotic applications - tracing failures across hardware, software, and model layers.
  • Work closely with ML and core robotics engineers to surface deployment failures, reproduce edge cases, and translate field learnings into system improvements.
  • Analyze and improve robot algorithms and system performance over time.
  • Build and maintain technical documentation, runbooks, and tooling to support configuration, monitoring, and performance evaluation.
  • Collaborate with hardware, operations, and R&D teams to optimize robotic performance and scalability.
Preferred Qualifications
  • BS, MS, or higher degree in Computer Science, Robotics, or a related field, or equivalent practical experience.
  • 3-5+ years of hands-on experience in robotics application development, system integration, or field deployment.
  • Proficiency in Python and C++; strong working knowledge of ROS/ROS2.
  • Familiarity with AI and machine learning techniques as applied to robotic systems.
  • Background in autonomous systems - robotics, drones, autonomous vehicles, industrial automation, or similar.
  • Familiarity with vision systems, simulation tools, and sensor integration.
  • Strong analytical and problem-solving skills with the ability to work in a fast-paced, dynamic environment.

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