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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.

Average salary estimate

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What You Should Know About Staff Software Engineer, Data Scientist Developer, Renesas Electronics

Exciting times await you as a Staff Software Engineer at Renesas in Bengaluru, Karnataka! Our team is on a mission to revolutionize the self-driving vehicle industry and advanced safety systems using cutting-edge AI technologies. We're looking for someone with a passion for machine learning and data science to join our AI Systems team. As a Staff Software Engineer, you'll have the unique opportunity to design and develop AI software that will be deployed in billions of devices worldwide. Imagine using your skills with C/C++, Python, and machine learning frameworks like TensorFlow and PyTorch to solve real-world challenges. You will be working along with a diverse group of over 100 talented engineers in a collaborative, agile environment, contributing to the creation of innovative solutions that will make people’s lives easier and safer. Your experience in deploying applications to embedded platforms, coupled with familiarity with cloud technologies like Kubernetes and Docker, will be invaluable in this role. Renesas prides itself on fostering a culture that values innovation, inclusivity, and a commitment to excellence, making this the ideal place to further your career while making a meaningful impact in the tech industry. Join us to be part of the future of electronics, where you can shape new technologies and solutions every day. Let's make technology work for the greater good together at Renesas!

Frequently Asked Questions (FAQs) for Staff Software Engineer, Data Scientist Developer Role at Renesas Electronics
What are the main responsibilities of a Staff Software Engineer at Renesas?

As a Staff Software Engineer at Renesas, your primary responsibilities will include designing, developing, deploying, and maintaining AI software for self-driving vehicles and advanced driver safety systems. You will also leverage cloud-native technologies and develop AI solutions that enhance user experiences.

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What qualifications do I need to apply for the Staff Software Engineer position at Renesas?

To apply for the Staff Software Engineer role at Renesas, you should possess a Bachelor’s or Master’s degree in computer science, machine learning, mathematics, or a related field. Additionally, two years of experience in C/C++, Python, and machine learning frameworks is essential.

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What programming languages should I be proficient in to become a Staff Software Engineer at Renesas?

Proficiency in C/C++ and Python is a must if you’re looking to become a Staff Software Engineer at Renesas. Having a strong grasp of machine learning frameworks like TensorFlow or PyTorch will also set you up for success.

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How does Renesas support professional development for Staff Software Engineers?

Renesas supports professional development through opportunities to explore various hardware and software capabilities and offers flexible work environments, remote options, and substantial career advancement potential across technical and business roles.

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Is teamwork emphasized within the Staff Software Engineer position at Renesas?

Absolutely! Teamwork is at the core of our culture at Renesas. As a Staff Software Engineer, you will collaborate with a globally distributed team to deliver innovative software solutions in an agile development schedule.

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Common Interview Questions for Staff Software Engineer, Data Scientist Developer
Can you describe a challenging project you've worked on as a Staff Software Engineer?

In preparing for this question, think of a project where you faced significant challenges, such as tight deadlines or technical obstacles. Mention how you approached the problem, the techniques you used, and the ultimate outcome to demonstrate your problem-solving and critical-thinking abilities.

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How do you approach debugging a software application?

When asked about debugging, outline your systematic approach: start with identifying symptoms, reproduce the issue, and then use tools and logs to isolate the problem. Explain how this method has successfully led you to resolve debuggings in past projects.

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What machine learning frameworks are you familiar with and how have you applied them in your previous roles?

Discuss popular frameworks such as TensorFlow, PyTorch, and Keras. Provide specific examples of projects where you utilized these tools and any specific challenges you faced during implementation, showcasing your practical experience and knowledge.

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How do you stay updated with emerging technologies, especially in AI and machine learning?

Mention your proactive methods of staying current, such as attending conferences, following relevant online platforms, participating in workshops, or contributing to open-source projects. This shows your commitment to continuous learning and professional growth.

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Describe your experience with cloud technologies in software deployment.

Explain your hands-on experience with cloud platforms like AWS, Azure, or Google Cloud. Highlight any specific projects where you used container orchestration tools like Kubernetes or Docker, emphasizing how these technologies improved deployment efficiency.

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What strategies do you use for ensuring your AI models are optimized for performance?

Talk about various strategies you implement, such as model quantization, pruning, and regularization techniques. Provide a specific instance where you enhanced model performance, demonstrating your deep understanding of this area.

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How do you ensure collaboration and communication within a distributed team?

Emphasize tools and techniques used for effective collaboration, such as regular video calls, project management software, and continuous integration systems. Describe how these practices have helped you maintain alignment and productivity across different locations.

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Explain a time you had to learn a completely new technology or framework quickly. How did you approach this?

Employ a narrative structure to explain this situation, focusing on your research methods, how you prioritized key aspects of the technology, and how you applied it to achieve project goals efficiently.

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What do you think are the biggest challenges in AI development today?

Articulate your insights on challenges such as data privacy, ethical considerations, or integration issues. This reflects your awareness of the industry landscape and your ability to think critically about its implications.

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Why do you want to work as a Staff Software Engineer at Renesas?

Relate your personal and professional goals to Renesas' mission, values, and focus areas. Show enthusiasm for the opportunity to contribute to innovative projects and make a significant impact in the tech industry while expressing admiration for their inclusive and entrepreneurial culture.

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Renesas Electronics Corporation delivers trusted embedded design innovation with complete semiconductor solutions. Renesas provides quality and comprehensive solutions for a broad range of Automotive, Industrial, Home Electronics (HE), Office Auto...

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March 21, 2025

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