Principal Data Scientist

The Principal Data Scientist (Computer Vision and Robotics) will develop machine learning, deep learning, perception, and autonomous-system solutions that address customer needs such as topside and subsea inspection, navigation, and intervention. The role is responsible for machine vision, sensor-fusion, localization, path-planning, decision-making, and data-analytics algorithms for Oceaneering’s next-generation robotic and autonomous systems.

Responsibilities

• Lead and guide engineers on product and prototype design and development assignments across software, computer vision, robotics, machine learning, deep learning, and autonomous systems
• Architect perception and autonomy solutions through appropriate selection of cameras, sonar, LiDAR, inertial sensors, compute platforms, middleware, and algorithms
• Lead advanced research and development in computer vision, robotic perception, multi-sensor fusion, visual/sonar SLAM, localization, mapping, and autonomous navigation
• Work with third parties to utilize off the shelf industrial solutions

• Iteratively develop proof-of-concept implementations, prototypes and demos to fine-tune technologies to practical, state of the art systems

• Innovate and develop algorithms for object detection, tracking and classification, pose estimation, obstacle avoidance, trajectory prediction, motion planning, and closed-loop robotic decision-making
• Develop and evaluate path-planning, task-planning, behavior-planning, and control approaches for robots operating in dynamic, uncertain, and GPS-denied environments
• Apply reinforcement learning (RL), imitation learning, offline RL, and human-feedback approaches, including RLHF where appropriate, to improve autonomous decision-making while maintaining safety, explainability, and operational constraints
• Build simulation, synthetic-data, hardware-in-the-loop, and field-validation workflows; define autonomy metrics and verify robustness, fail-safe behavior, and sim-to-real performance
• Algorithm development on key research areas based on client’s technical problem. This requires constant paper reading, and staying ahead of the game by knowing what is and will be state of the art in this field.

• Ability to work hands-on in cross-functional teams with a strong sense of self-direction

• Develop an awareness of programming and design alternatives

• Cultivate and disseminate knowledge of application development best practices

• Gather statistics and prepare and write reports on the status of the programming process for discussion with management and/or team members

• Direct research on emerging application development software products, languages, and standards in support of procurement and development efforts

• Train, manage and provide guidance to junior staff

• Perform all other duties as requested, directed or assigned

Qualifications

REQUIRED

• Bachelor’s degree in computer science, Robotics, Artificial Intelligence, Electrical/Electronics Engineering, Software Engineering, or a related field, with eight or more years of experience delivering computer vision, deep learning, robotics, or autonomous-system projects

OR

• Master’s degree in computer science, Robotics, Artificial Intelligence, Electrical/Electronics Engineering, Software Engineering, or a related field, with six or more years of experience delivering computer vision, deep learning, robotics, or autonomous-system projects

DESIRED

• Knowledge of inner working of any vision software (such as OpenCV, PCL, CNN, Visual Transformers)

• Experience with robotics frameworks and simulators such as ROS/ROS 2, Gazebo, Isaac Sim, MATLAB/Simulink, or equivalent platforms
• Strong understanding of autonomous navigation, kinematics and dynamics, state estimation, sensor calibration and fusion, SLAM, path and trajectory planning, motion control, and safety-aware autonomy
• Hands-on experience with reinforcement learning libraries and techniques, including policy optimization, reward design, imitation learning, offline RL, human-in-the-loop learning, and RLHF concepts
• Experience deploying real-time perception and autonomy workloads on edge accelerators, with working knowledge of deterministic performance, latency optimization, telemetry, MLOps, and field diagnostics
• Technically fluent in programming languages, including Python, C, C++, Java, C# and other object-oriented paradigms

• Competent and proficient understanding of platforms such as UNIX (Solaris and Linux) and Windows

• Hands-on software troubleshooting experience

• Must be able to learn, understand, and apply new technologies

• Strong coding skills.

• Edge based and/or cloud-based AI/ML Code deployment experience (DevOps)

• Experience with Azure Cloud based ML services

• Experience in computer vision, image processing and other related applied engineering fields.

• Strong background in mathematics and/or statistics is highly desirable.

• Knowledge of git and version control

• Familiarity with NVIDIA's Jetson Board & Deep Stream Framework on Linux/Ubuntu machines

Knowledge, Skills, Abilities, and Other Characteristics

• Ability to analyze situations accurately, utilizing a variety of analytical techniques in order to make well informed decisions

• Ability to effectively prioritize and execute tasks in a high-pressure environment

• Skill to gather, analyze and interpret data

• Ability to determine and meet customer needs

• Ensures that others involved in a project or effort are kept informed about developments and plans

• Knowledge of communication styles and techniques

• Ability to establish and maintain cooperative working relationships

• Skill to prioritize workflow in a changing work environment

• Knowledge of applicable data privacy practices and laws

• Strong analytical and problem-solving skills.

Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, material handling, aerospace, science, and renewable energy industries.

Overview

Since year 2003, Oceaneering’s India Center has been an integral part of operations for Oceaneering’s robust product and service offerings across the globe. This center caters to diverse business needs, from oil and gas field infrastructure, subsea robotics to automated material handling & logistics.

Our multidisciplinary team offers a wide spectrum of solutions, encompassing Subsea Engineering, Robotics, Automation, Control Systems, Software Development, Asset Integrity Management, Inspection, ROV operations, Field Network Management, Graphics Design & Animation, and more.

In addition to these technical functions, Oceaneering India Center plays host to several crucial business functions, including Finance, Supply Chain Management (SCM), Information Technology (IT), Human Resources (HR), and Health, Safety & Environment (HSE).

Our world class infrastructure in India includes modern offices, industry-leading tools and software, equipped labs, and beautiful campuses aligned with the future way of work. Oceaneering in India as well as globally has a great work culture that is flexible, transparent, and collaborative with great team synergy.

At Oceaneering India Center, we take pride in “Solving the Unsolvable” by leveraging the diverse expertise within our team. Join us in shaping the future of technology and engineering solutions on a global scale.