Staff Software Engineer, Data Scientist Developer

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.

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

Additional Information

Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, 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 21,000 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, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.’     
 
At Renesas, you can: 

• Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.  

• Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. 

• Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.    

Are you ready to own your success and make your mark?  

Join Renesas. Let’s 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.