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Sensor Algorithm Engineer Jobs in Louisiana (NOW HIRING)

Autonomous Systems Integration Deploy autonomy algorithms across the full software stack-including ... Sensor Fusion & State Estimation Work with sensors and sensor data (e.g., GPS, IMU, LiDAR, sonar ...

Autonomous Systems Integration Deploy autonomy algorithms across the full software stack-including ... Sensor Fusion & State Estimation Work with sensors and sensor data (e.g., GPS, IMU, LiDAR, sonar ...

As an Automation Engineer, you will play a crucial role in designing, developing, implementing, and ... Design and implement control algorithms, software, and hardware for automation. * Sensor ...

As an Automation Engineer, you will play a crucial role in designing, developing, implementing, and ... Design and implement control algorithms, software, and hardware for automation. Sensor Integration:

As an Automation Engineer, you will play a crucial role in designing, developing, implementing, and ... Design and implement control algorithms, software, and hardware for automation. Sensor Integration:

As an Automation Engineer, you will play a crucial role in designing, developing, implementing, and ... Design and implement control algorithms, software, and hardware for automation. Sensor Integration:

Sensor Algorithm Engineer information

What are the key skills and qualifications needed to thrive as a sensor algorithm engineer, and why are they important?

To thrive as a Sensor Algorithm Engineer, you need a strong background in signal processing, sensor physics, and applied mathematics, often supported by a degree in electrical engineering, computer science, or a related field. Familiarity with programming languages such as Python or C++, tools like MATLAB, and experience with sensor data fusion systems are typically required. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate across multidisciplinary teams and interpret complex data. These skills are essential to develop robust algorithms that ensure accurate sensor performance and drive innovation in fields like automotive, robotics, and consumer electronics.

What does a sensor algorithm engineer do?

A Sensor Algorithm Engineer designs, develops, and tests algorithms that process data from various sensors, such as cameras, accelerometers, gyroscopes, or environmental sensors. Their work involves creating mathematical models and software to interpret sensor data for applications like robotics, autonomous vehicles, mobile devices, or IoT systems. They collaborate with hardware engineers and software developers to ensure accurate and reliable sensor performance. The role often requires expertise in signal processing, machine learning, and embedded systems.

What is the difference between Sensor Algorithm Engineer vs Signal Processing Engineer?

AspectSensor Algorithm EngineerSignal Processing Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of sensor systemsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; expertise in signal processing techniques
Work EnvironmentDevelops algorithms for sensors in automotive, consumer electronics, or industrial applicationsDesigns and implements signal processing algorithms across various industries including communications and audio
Employer & Industry UsageUsed by companies developing sensor-based systems like IoT devices, autonomous vehicles, and roboticsCommon in telecommunications, audio engineering, and image processing sectors

While both roles involve algorithm development and require similar educational backgrounds, Sensor Algorithm Engineers focus on creating algorithms specifically for sensor data interpretation, whereas Signal Processing Engineers work on processing signals from various sources, including sensors, for broader applications.

How does a sensor algorithm engineer typically collaborate with hardware and software teams during product development?

Sensor Algorithm Engineers often serve as a bridge between hardware engineers and software developers. They work closely with hardware teams to understand sensor specifications and limitations while collaborating with software teams to integrate algorithms into embedded systems or applications. Regular cross-disciplinary meetings and iterative testing are common, ensuring that sensor data is accurately interpreted and that the algorithms perform reliably under real-world conditions. This collaborative environment helps drive innovation and ensures that final products meet both technical and user requirements.
What are popular job titles related to Sensor Algorithm Engineer jobs in Louisiana? For Sensor Algorithm Engineer jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Sensor Algorithm Engineer jobs in Louisiana look for? The top searched job categories for Sensor Algorithm Engineer jobs in Louisiana are:
What cities in Louisiana are hiring for Sensor Algorithm Engineer jobs? Cities in Louisiana with the most Sensor Algorithm Engineer job openings:
Infographic showing various Sensor Algorithm Engineer job openings in Louisiana as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Robotics Engineer

Integer Technologies

Baton Rouge, LA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago


Job description

#LI-DNIRobotics EngineerBaton Rouge, LAWhat we doInteger Technologies is an applied research and product development company founded by scientists and engineers with a passion for protecting freedom with innovation. We perform R&D on next-generation systems and technologies for the Department of Defense and other U.S. Government agencies. We are hardware and software developers with experience transforming research into fieldable technology. Our core portfolio of research includes projects in power & energy systems, unmanned systems (with an emphasis on maritime systems), digital engineering, cyber security, and advanced manufacturing. Our mission is to create a safer world by translating scientific discoveries into reliable products that address urgent national security needs... at the speed of relevance.Company BenefitsBase salaries which exceed local & national industry averages.Year-end performance-based bonuses.401(k) with company matching that vest immediately.Integer fully covers medical, prescription, vision, and dental insurance costs for the employee and dependents, meaning the Integer standard plan pays 100% of health insurance premiums for your entire family from a well-known national insurer, saving its employees thousands of dollars annually.Relocation assistance available.Paid vacation, sick/personal leave, and holidays.Paid bereavement and parental leave.Hybrid schedule: Mondays and Fridays are optional to work from home or in the office.Company PerksStartup culture with the stability of a large company. Integer's business plan has years of time phased contracted work, alleviating the would-be risk from a traditional small company.Direct access to company leadership, prioritization of people over process, and a stellar team with a shared desire for personal and professional growth.Friendly atmosphere where people enjoy not only their work and what they're creating but enjoy helping each other as well.Bottomless Coffee!About the RoleInteger Technologies is seeking an Autonomy Engineer to support the design, development, and deployment of advanced autonomy software on maritime robotic platforms. This role involves end-to-end contributions across the autonomy stack-including perception, mapping, localization, and control-tailored for real-world performance in constrained and uncertain environments. The ideal candidate will have a strong background in sensor fusion, state estimation, and real-time robotics software development, with hands-on experience in both simulation and field testing. Candidates must be U.S. citizens, eligible for a DoD security clearance, and capable of working across multidisciplinary teams to deliver scalable, maintainable, and mission-ready systems. Experience in maritime autonomy, multi-agent coordination, and distributed systems is highly desirable.Primary ResponsibilitiesAutonomous Systems Integration Deploy autonomy algorithms across the full software stack-including perception, localization, mapping, and control-in simulation and on physical robotic platforms.Sensor Fusion & State Estimation Work with sensors and sensor data (e.g., GPS, IMU, LiDAR, sonar, cameras) to help improve navigation and situational awareness using techniques like Kalman Filters or particle filters.Probabilistic Decision-Making & Autonomy Behavior Implement and tune probabilistic reasoning methods to support autonomous behavior selection in partially observable environments.Hardware-in-the-Loop (HIL) & Simulation-Based Testing Set up and use HIL environments and high-fidelity simulations to evaluate autonomy algorithms and ensure real-world readiness under varied operational scenarios and failure modes.Experimental Validation & Demonstration Execute field tests and simulations to validate autonomy behavior and system performance, using the results to refine system design.Documentation & Technical Communication Develop clear, concise technical documentation, including interface specifications, deployment guides, and post-test analysis reporting.Required QualificationsMust be a U.S. Citizen with the ability to obtain a US DoD Secret clearance.Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering or a related technical field; advanced degrees preferred.2+ years of professional experience developing, deploying, or integrating autonomy software and hardware systems.Must have experience in the implementation of autonomy algorithms for perception, mapping, localization, and/or control.Integrate sensors (e.g., GPS, IMU, camera, LiDAR, sonar) for robust sensor fusion and situational awareness.Strong proficiency in modern programming languages (e.g., C++, Python) and experience with middleware such as DDS, MQTT, Zenoh, ROS, or other real-time communication frameworks.Familiarity with sensor fusion and state estimation techniques such as particle filters and Extended Kalman Filters with practical experience applying these methods to real-world robotic navigation and localization problems.Deep understanding of autonomy frameworks, decision-making algorithms, and real-time system constraints in distributed, multi-agent environments.Comfortable working in both field test environments and simulation environments; experience with hardware-in-the-loop (HIL) testing is advantageous.Excellent collaboration and communication skills, with the ability to interface across multidisciplinary teams and external partners.Additional Desired QualificationsExperience developing autonomy software for maritime, aerospace, or ground robotics systems operating in GPS-denied or communications-constrained environments.Experience defining requirements for robotics systems.Experience using Robot Operating System (ROS/ROS2).Knowledge of control theory and vehicle kinematics/dynamicsKnowledge of distributed systems, multi-agent coordination, or swarm autonomy concepts.Hands-on experience with containerized deployment (e.g., Docker, Kubernetes) on embedded or ruggedized platforms.Active Secret or higher DoD security clearance.