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Robotics Perception Engineer Jobs in Louisiana (NOW HIRING)

#LI-DNI Robotics Engineer Baton Rouge, LA What we do Integer Technologies is an applied research and ... This role involves end-to-end contributions across the autonomy stack-including perception, mapping ...

#LI-DNI Robotics Engineer Baton Rouge, LA What we do Integer Technologies is an applied research and ... This role involves end-to-end contributions across the autonomy stack-including perception, mapping ...

#LI-DNI Robotics Engineer Baton Rouge, LA What we do Integer Technologies is an applied research and ... This role involves end-to-end contributions across the autonomy stack-including perception, mapping ...

Forward Deployed Engineer At Dexory, we believe that real-time data will revolutionise the ... robot operational and perception configuration requirements. The right person is defined by their ...

Physical AI Senior Manager

New Orleans, LA

$121K - $160K/yr

Lead and mentor multi-disciplinary teams: data science, ML engineering, software and edge, vision ... Robotics and autonomy (e.g., industrial robotics, mobile robotics and AMRs, perception-to-action ...

... DevOps Platform for Salesforce and the Cloud. We harness the power of native CI/CD and Robotic ... perception or identity, national origin, age, marital status, protected veteran status, or ...

Robotics Perception Engineer information

What are Robotics Perception Engineers?

Robotics Perception Engineers are professionals who specialize in enabling robots to interpret and understand their environment using sensors and data processing algorithms. They work on developing and implementing computer vision, sensor fusion, and machine learning techniques so that robots can perceive objects, people, and surroundings. Their work is crucial for applications such as autonomous vehicles, drones, industrial automation, and service robots. By improving a robot's ability to 'see' and make sense of the world, they help create safer and more effective robotic systems.

What is the difference between Robotics Perception Engineer vs Computer Vision Engineer?

AspectRobotics Perception EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or Electrical Engineering; experience with perception algorithmsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; strong programming skills in vision processing
Work EnvironmentRobotics labs, autonomous vehicle companies, industrial automationSoftware companies, tech startups, research labs focusing on image and video analysis
Industry UsageAutonomous vehicles, robotics, manufacturingHealthcare, security, consumer electronics, automotive

Robotics Perception Engineers focus on developing perception systems specifically for robots, integrating sensors and perception algorithms for navigation and interaction. Computer Vision Engineers primarily develop algorithms for interpreting visual data across various applications. While both roles require strong programming and understanding of perception, Robotics Perception Engineers specialize in sensor fusion and real-time processing within robotic systems, whereas Computer Vision Engineers work more broadly on image analysis and recognition tasks.

What are some common challenges faced by Robotics Perception Engineers when integrating new sensors into autonomous systems?

Robotics Perception Engineers often encounter challenges such as sensor calibration, data synchronization, and managing varying data quality when integrating new sensors. Ensuring that sensor data is accurately aligned in time and space is crucial for reliable perception in autonomous systems. Additionally, engineers must address the complexities of fusing data from multiple modalities (like cameras, LiDAR, or radar) while optimizing processing efficiency. Close collaboration with hardware and software teams is essential to troubleshoot integration issues and achieve robust, real-time perception.

What are the key skills and qualifications needed to thrive as a Robotics Perception Engineer, and why are they important?

To thrive as a Robotics Perception Engineer, you need strong expertise in computer vision, sensor fusion, machine learning, and proficiency in programming languages like C++ and Python, often supported by a degree in robotics, computer science, or a related field. Familiarity with tools and frameworks such as ROS (Robot Operating System), OpenCV, and deep learning libraries, as well as experience with sensors like LiDAR and cameras, is typically required. Excellent problem-solving abilities, teamwork, and adaptability help set standout professionals apart in this role. These competencies are crucial for enabling robots to accurately interpret and interact with their environment, leading to robust and reliable autonomous systems.
What cities in Louisiana are hiring for Robotics Perception Engineer jobs? Cities in Louisiana with the most Robotics Perception Engineer job openings:

Robotics Engineer

Integer Technologies

Baton Rouge, LA • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago


Job description

#LI-DNI

Robotics Engineer

Baton Rouge, LA


What we do

Integer 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 Benefits

  • Base 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 Perks

  • Startup 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 Role

Integer 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 Responsibilities


  • Autonomous 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 Qualifications

  • Must 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 Qualifications

  • Experience 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/dynamics
  • Knowledge 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.