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Internship R&D Software Engineer Jobs in Florida

MOBY Robotics

Autonomy & Software Engineer

Miami, FL · On-site

We are looking for an Autonomy & Software Engineer to own the intelligence layer of our AUV from ... internship, or substantial research/project work) * Solid understanding of core software ...

RAFT

Lead AI/ML Software Engineer

Tampa, FL · On-site

As Lead AI/ML Software Engineer for [R]AIMS, you will serve as a senior technical leader ... responsible for evolving the architecture, execution, and engineering rigor of Raft's AI Mission ...

AMERICAN SYSTEMS

Software Engineer, Mid-Level

Orlando, FL · On-site

$85K - $95K/yr

Bachelor's degree in Computer Science, Software Engineering, Human-Machine Interface (HMI) Development, or related technical field; internships may be considered based on skills and experience * U.S.

Talent Vine

Software Engineer

Tampa, FL

They combine deep domain expertise with modern engineering practices to deliver impactful tools ... Candidates must be based in or willing to relocate to the D.C. or Tampa area.

AMPERA INC

AI Software Engineer

Palm Beach Gardens, FL · On-site +1

Position Overview AMPERA is seeking an experienced AI / Software Engineer to develop intelligent ... AD&D and 401(k). Opportunity to pioneer advanced nuclear fuel technologies driving the next ...

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Internship R D Software Engineer information

What is the difference between Internship R&D Software Engineer vs Software Developer Intern?

AspectInternship R&D Software EngineerSoftware Developer Intern
FocusResearch and development, innovation, prototypingApplication development, coding, feature implementation
Work EnvironmentLabs, R&D departments, experimental projectsDevelopment teams, product teams, software projects
Required SkillsProgramming, research methods, problem-solvingProgramming, debugging, software design
Industry UsageTech companies, research institutionsTech companies, startups, software firms

Internship R&D Software Engineers focus on innovative research and prototyping, often working in labs or research settings. In contrast, Software Developer Interns primarily work on developing and coding software applications. Both roles require programming skills, but the R&D role emphasizes research and experimentation, while the Developer role emphasizes application development.

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Internship R D Software Engineer jobs near you

Autonomy & Software Engineer

MOBY Robotics

Miami, FL • On-site

Full-time

Posted 20 days ago

Job description

Job Description
We are looking for an Autonomy & Software Engineer to own the intelligence layer of our AUV from flight controller integration and mission planning to sensor fusion and real-time decision-making. This is a high-impact role at a fast-moving startup where you will shape the architecture of a system that operates in one of the most challenging environments on Earth. We are looking for an engineer with deep, hands-on expertise in autonomy and software, but with enough breadth across adjacent domains electronics, sensors, and field systems to work effectively across a small, cross-functional team.
RESPONSIBILTIES
Autonomy & Mission Planning
  • Design and implement the full autonomy stack for AUV mission execution, including behavior trees,
    state machines, and task sequencing
  • Develop and tune waypoint navigation, path planning, and dynamic obstacle avoidance algorithms
  • Own the integration of ArduSub / PX4 flight controller firmware with the high-level software stack

Sensor Integration & State Estimation
  • Integrate and fuse data from IMU, DVL, depth sensors, and acoustic positioning systems
  • Implement and maintain localization pipelines (EKF/UKF) for underwater navigation without GPS
  • Developing custom sensor fusion techniques and implementing state-of-the-art models for state estimation and localization

Software Architecture & Infrastructure
  • Build and maintain the ROS2-based software architecture across onboard compute platforms
  • Write clean, tested, well-documented C++ and Python code with a focus on reliability in embedded environments
  • Develop simulation environments in platforms like NVIDIA Isaac Sim.
  • Build, test and maintain firmware code (ROS2, Python, C++) for the AUV.
  • Set up and manage testing, version control practices, and software documentation

Cross-Functional & Field Work
  • Support field testing and offshore deployments (This is a hands-on role)
  • Collaborate closely with the Electrical Engineer on low-level firmware and hardware-software interfaces (CAN, UART, I2C, SPI)
  • Contribute to system-level architecture decisions as part of a small founding engineering team

Requirements
REQUIRED QUALIFICATIONS
  • 2-3 years of hands-on experience building autonomous robotic systems (full-time, internship, or substantial research/project work)
  • Solid understanding of core software development principles and practices
  • Strong knowledge of motion planning, obstacle avoidance and basic control systems
  • Experience in building autonomous robots with state of the art models and techniques Strong proficiency in Python and C++ in a robotics or embedded context Deep experience with ROS2 (nodes, topics, services, actions, custom message types) Demonstrated experience integrating and tuning flight controllers such as ArduSub, ArduPilot, or PX4
  • Working knowledge of state estimation and sensor fusion (IMU, DVL, barometer, or similar)
  • Comfortable with Linux environments, Git, and standard software engineering practices Ability to write reliable, maintainable code that runs on resource-constrained hardware

PREFERRED QUALIFICATIONS
  • Experience with underwater robotics (AUVs, ROVs) or marine/subsea systems
    Experience with NVIDIA Jetson, Raspberry Pi, Arduino or other microcontrollers
  • Familiarity with acoustic positioning systems (DVL, USBL, LBL) or underwater comms protocols
  • Simulation experience with Gazebo, Isaac Sim, or similar environments
  • Basic electronics skills, reading schematics, debugging hardware-software interface issues
  • Experience with computer vision, sonar image processing, or onboard ML inference
  • Exposure to systems like Blue Robotics hardware, Water Linked systems, or similar AUV platforms Background in competitive robotics (RoboSub, RobotX, etc.)

Benefits
  • Ownership of autonomy and software systems deployed in the field
  • Work on real robotic systems operating in extreme environments
  • Rapid iteration between simulation, hardware, and testing
  • Full-system scope across autonomy, controls, and embedded software
  • Small, highly technical team with close collaboration Competitive compensation

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