Deep learning Engineer

STMicroelectronics; Dadri; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

STMicroelectronics is looking for a Deep Learning Engineer to join their team focusing on Edge AI systems. You will work on optimizing and deploying advanced deep learning models directly onto embedded devices, aiding various applications including mobile and robotics.

The ideal candidate will have strong expertise in machine learning, particularly using PyTorch, along with a background in Python and C/C++. This position offers a unique opportunity to contribute to innovative technology in a diverse and inclusive environment.

Qualifications

• Strong working knowledge of deep learning and experience solving real-world problems in Computer Vision.
• Must have hands-on experience with PyTorch.
• At least 3 years of industry experience with Python, C/C++ or other high-level languages.

Responsibilities

• Optimize and deploy deep learning models for low-latency, low-power environments.
• Work closely with ML researchers, embedded engineers, and platform teams.

Skills

Deep Learning

Python

C/C++

Computer Vision

Machine Learning

PyTorch

Quantization

Education

Post-secondary education in a related field

Tools

GitHub

CI/CD

Linux

Job description

OUR STORY

At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today.

When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world.

Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential.

Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you.

YOUR ROLE

We are building next‑generation Edge AI systems that bring powerful machine learning capabilities directly onto embedded and resource‑constrained devices. Our team works at the intersection of deep learning, systems optimization, and real‑world deployment across mobile, robotics, IoT, automotive, and smart devices. We are looking for a Deep Learning Engineer with strong expertise in model optimization, quantization, and deployment for edge inference.

As a Deep Learning Engineer focused on Edge AI, you will optimize and deploy state‑of‑the‑art deep learning models for low‑latency, low‑power environments. You will work closely with ML researchers, embedded engineers, and platform teams to convert large‑scale models into efficient production‑ready systems running on ST platforms. This role is ideal for someone passionate about squeezing maximum performance from neural networks while maintaining model accuracy.

Your Skills & Experiences

• Post‑secondary education in a related field.
• Strong working knowledge of deep learning, and experience utilizing theoretical and empirical research to solve real‑world problems especially in the field of Computer Vision.
• Must have hand‑on experience with PyTorch.
• Must have at least 3 years of industry experience with Python, C/C++ coding or other high‑level languages.
• Experience building systems based on machine learning and/or deep learning.
• Understanding of low‑level implementation of neural networks.
• Experience of compression techniques like Pruning, Quantization etc.
• Experience with GitHub, CI/CD and Linux‑based development environments.

At ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination. We aim to recruit and retain a diverse workforce that reflects the societies around us. We strive for equity in career development, career opportunities, and equal remuneration. We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning. Diversity, equity, and inclusion (DEI) is woven into our company culture.