Graduate Technical Intern - Intel Labs null

About Intel

Intel is a renowned semiconductor manufacturer, powering innovative computing solutions worldwide. Their cutting-edge technologies drive advancements in artificial intelligence, data centers, and the Internet of Things. With a rich history of delivering high-performance processors and a commitment to technological excellence, Intel remains a driving force in shaping the digital future.

Your role

Inside this Business Group

Intel Labs is the company's world-class, industry-leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high-risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.

About the team:

The Signals, Algorithms, and Systems Research team in the Emerging Systems Lab/Telecom Systems Research (ESL/TSR), within Intel Labs India, is an innovative research team that works closely with Intel product groups, industry partners, and the academic community to drive technology advancements and business impact. The key research focus of the team is Edge Computing-enabled time-sensitive perception-planning-control systems such as in Networked Robotics. The research includes enabling robots to seamlessly offload their AI-ML-based perception-planning computing functions to an Edge Server with time-sensitivity and determinism over wireless networks (Wi-Fi and 5G). This includes end-to-end design and co-optimization of Edge-centric robotic automation systems from simulations to real-world implementation.

Job description:

• The internship project focuses on Artificial Intelligence / Machine Learning applied to the Edge-computing driven / Networked Robotics domain, robotics algorithm development, end-to-end (E2E) Edge Robotics System simulations and Robotics HW/SW Systems Research, PoC prototype development, and characterization.
• The intern will work with the robotics research team to investigate, apply, and develop state-of-art AI/ML/Optimization-based technology components/algorithms for vision-based robot perception, multi-robot control and coordination, multi-agent pathfinding, collective perception using infrastructure cameras for autonomous mobile robot AMR navigation (ROS2 navigation stack) and demonstrate these components via integration in a WiFi / 5G based Edge-robotics System.
• Apart from developing individual technology components, the intern should be able to integrate, combine, and co-optimize different technology ingredients into an E2E integrated system - e.g. infrastructure perception-based navigation, multi-robot path planning, dynamic obstacle avoidance, robot function virtualization with edge computing system.

Training & development

Intel offers its employees extensive training & development opportunities, empowering them to enhance their skills and excel in their careers. With access to cutting-edge resources and mentorship programs, employees can participate in various training sessions to stay ahead in a fast-paced tech environment. Intel's commitment to fostering continuous growth and learning enables its workforce to drive innovation and make a meaningful impact on the world.

Benefits

Intel offers a total compensation package that ranks among the best in the industry. It consists of:

• Competitive pay
• Stock
• Bonuses
• Benefit programs include health, retirement, and vacation

Career progression

Intel encourages career growth by providing opportunities to try new things, work on diverse projects, and even explore international assignments, fostering a culture of continuous learning. The skills and experiences gained through internships at Intel can unlock doors to new job prospects.

Work-life balance

Intel offers diverse work arrangements, including compressed workweeks, flextime, telecommuting, and part-time/job-share roles, fostering work-life balance. However, this role will require an on-site presence.

Culture & vibe

At Intel, employees enjoy a diverse work-life balance, supported by an employee-friendly environment. It thrives as a leader in the industry, offering cutting-edge technology and serving as a great learning hub for individuals at all levels. Continuous learning is fostered, accompanied by strong team bonding, creating an extraordinary work experience.

About you

Qualifications

• Student pursuing Integrated Master/Ph.D. in Engineering Design, CS, ECE, EE, ME, or related fields.

Skills:

• Experience in (ML/DL, AI frameworks) + SW (Python, C++) + Robotics (robotic perception, simulations in Gazebo/MuJoCo, ROS2 middleware, AMR navigation SW stack, etc.), and optimization algorithms.
• Knowledge of AI-based and marker-based object pose estimation, vision perception, AMR localization, mapping, path planning, and obstacle avoidance algorithms is desirable.
• Experience in Deep Learning, Computer Vision, Machine Learning, Hands-on experience with ML toolkits such as Pytorch, etc.
• Strong programming expertise in Python and experience in using Deep learning packages such as Pytorch.
• Experience with ROS2 middleware, ROS2-DDS communication, ROS2 (Nav2) navigation stack, Moveit stack for robot arm control, Gazebo/MuJoCo simulations, Realsense SDK, OpenVino AI/ML SDK, containerization and deployment using Docker containers are desirable.

Source

The following sources were used in researching this page:

• jobs.intel.com/en
• youtube.com/@Intel