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Staff Software Engineer, Data Scientist Developer

4 - 8 years

9 - 14 Lacs

Posted:1 week ago| Platform: Naukri logo

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Full Time

Job Description

We are seeking AI Software Engineers to join our AI Systems team. The ideal candidate will have industry experience working on machine learning, data science or computer vision topics. The position will involve taking these skills and applying them to solve some of the key issues facing the self-driving vehicle industry and advanced safety systems. Our mission is to use the latest machine learning and AI inference networks to develop the best AI inference for self-driving vehicle and advanced driver safety engineers. Renesas is the leading automotive electronics supplier globally, and this is a rare opportunity to deploy your AI software to the billions of devices we ship to customers every year. You will join our High Performance Computing (HPC) AI Solutions global research and development organization of around 100 software engineers. Responsibilities Design, develop, deploy, and maintain AI software for our self-driving vehicle customers. Leverage cloud native technologies and environments (GitHub/GitLab, Terraform, Docker, Kubernetes etc) to deploy our products on our multiple hardware devices (CPU, AI accelerator etc). Design the implementation and management of our AI solutions using the latest optimized machine learning technologies to make our internal and customer engineer s life easier and meet their AI workflow needs. Develop novel algorithms and approaches to advance the state of the art of AI-accelerated inference solutions Working in a globally distributed team and deliver the software product as a team in an agile development schedule Qualifications Qualifications Bachelor s or Master s degree in computer science, machine learning, mathematics, physics, electrical engineering or related field. Experience in C/C++, Python, or other related programming language for atleast 2 years professionally. Having individual project repositories in github etc can be an added advantage Atleast 2 years experience with software engineering, including deploying to one or more embedded devices or platforms. 2 years experience deploying applications with machine learning, data science or AI frameworks (eg TensorFlow/Keras, PyTorch, Pandas, ONNX), and ML tools (eg Weights and Biases, MLFlow, Airflow). Having previously worked with transformer type networks with know-how of attention blocks design and optimization in any hardware will be an added advantage. Familiarity with opens source AI compiler tools such as Apache TVM and prior experience in concepts like quantization, pruning etc and IR lowering during AI model compilation. Familiar with concepts of applications using cloud technologies (eg Kubernetes, Docker) and deployed to one or more cloud providers (eg Amazon Web Services, Microsoft Azure, Google Cloud) Ability to speak and write in English at a business level Company Description Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world leading MCUs, SoCs, Analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you. Renesas employs roughly 21, 000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what s next in electronics and the world.

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