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You will be updated with latest job alerts via emailWe 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 selfdriving 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 selfdriving 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 selfdriving 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 engineers life easier and meet their AI workflow needs. Develop novel algorithms and approaches to advance the state of the art of AIaccelerated inference solutions Working in a globally distributed team and deliver the software product as a team in an agile development schedule
Qualifications :
Qualifications Bachelors or Masters 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 knowhow 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
Additional Information :
Renesas is an embedded semiconductor solution provider driven by its Purpose To Make Our Lives Easier. As the industrys leading expert in embedded processing with unmatched quality and systemlevel knowhow we have evolved to provide scalable and comprehensive semiconductor solutions for automotive industrial infrastructure and IoT industries based on the broadest product portfolio including High Performance Computing Embedded Processing Analog & Connectivity and Power.
With a diverse team of over 21000 professionals in more than 30 countries we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable powerefficient solutions today that help people and communities thrive tomorrow To Make Our Lives Easier.
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Join Renesas. Lets Shape the Future together.
Renesas Electronics is an equal opportunity and affirmative action employer committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex race religion national origin gender gender identity gender expression age sexual orientation military status veteran status or any other basis protected by law. For more information please read our Diversity & Inclusion Statement.
Remote Work :
No
Employment Type :
Fulltime
Full-time