Staff Software Engineer

Hyderabad, Telangana
Permanent
Full-time

1 month ago

Job DescriptionWe are seeking an experienced Staff Software Engineer (AI). In this role, you will be part of the Pathfinding Studio within the Innovation Office. The team is exploring AI/machine learning techniques for various domain-specific problems related to engineering and robotics.Responsibilities:This role requires you to research and develop AI/machine learning models. You will train, fine-tune, or perform in-context learning to develop state-of-the-art AI/machine learning-based models. Activities will involve the identification and preparation of data sets, maintenance of data sets, identifying, using, and developing appropriate model architecture, and delivering the model along with model usage documentation and examples. Additionally, you will work on developing AI models targeting robotics utilizing relevant virtual modeling frameworks.Minimum Qualifications:

Experience with multimodal machine learning model development based on structured and unstructured data targeting robotics.
Experience with the end-to-end deep learning development life cycle.
Ability to understand, analyze, test model behavior, and summarize model performance.
Ability to work with AI/ML flow in CPU, embedded CPU, and GPU-based infrastructure in Windows and Linux environments.
Ability to select and use appropriate models from the open-source environment in memory and compute-constrained infrastructure.
Experience in training, fine-tuning, and in-context learning with multi-modal models and datasets using Python/C/C++.
Knowledge of traditional and state-of-the-art machine learning techniques related to NLP, Video, Audio, Generative AI, Code understanding, and generation.
Experience with virtual model development using IsaacSim and MuJoCo for robotics.

QualificationsEducation:Master's degree in computer science, Electrical Engineering, Computer Engineering, or a similar field with 5 years of relevant experience in end-to-end machine learning development or a PhD with 3 years of relevant experience.
Preferred Qualifications:

Hands-on expertise in deep learning model development and tuning.
Experience with structured and unstructured data manipulation and management for machine learning pipelines.
Experience with virtual and physical modeling environments targeting robotics.
Experience in Python and ML frameworks (e.g., PyTorch, TensorFlow, ONNX, etc.).
Experience in using open-source model development (e.g., Huggingface, Langchain, etc.).
Experience with data processing and UI frameworks (e.g., Pandas, Plotly, SciPy, Flask, Streamlit, or similar).
Ability to understand and explain state-of-the-art AI models.
Ability to understand and summarize the hardware and software complexity of various AI models.
Knowledge of applying AI algorithms in semiconductor design and verification.

Company DescriptionRenesas 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.Additional InformationRenesas 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 .

Renesas Electronics

Apply Now