Staff Software Engineer

 We 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.
 

Qualifications :

Education:

Masters 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.
 

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 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 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 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 peoples 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. 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.