#WeAreIn to program innovative solutions for tomorrow’s challenges. Are you in? As a Senior Enginer AI you will be responsible for designing, developing, and deploying artificial intelligence (AI) models and ecosystem that can generate human-like content, such as text, images, and videos.Additionally you will be developing innovative solutions that leverage the power of generative AI to drive business value and improve customer experiences.

Your Role

Key responsibilities in your new role

• Design and develop algorithms for generative models using deep learning techniques for VP work products.
• Collaborate with cross-functional teams to integrate generative AI solutions into existing VP workflow systems.
• Research and stay up to date on the latest advancements in generative AI technologies and methodologies.
• Optimize and fine-tune generative models for performance and efficiency.
• Troubleshoot and resolve issues related to generative AI models and implementations.
• Create and maintain documentation for generative AI models and their applications.
• Communicate complex technical concepts and findings to non-technical Stakeholders
  
  

Your Profile

Qualifications And Skills To Help You Succeed

• Strong background in C++/System-C/ TLM 2.0 on various development platform (Windows/Linux etc)
• Graduate or Post graduate in Engineering with Minimum of 3+ years of relevant experience
• Development of functional/cycle approximate models using SystemC and tools such as Synopsys Virtualizer, ASTC,VLAB etc. based on Visual Studio, g++ (for Linux)
• Proficient knowledge of computer architecture, embedded CPU (ARM/RISC-V), real-time systems, OS, Automotive communication platforms (Ethernet, CAN, FlexRay etc.)
• Verification of models using various methods, such as standalone SystemC based unit verification, co-simulation with RTL (System Verilog) and SW based system testing etc.
• Embedded system test development using C/C++ and automated execution/debugging.
• Hands-on experience on embedded compilers such as GNU, Tasking etc. and debuggers such as PLS, Lauterbach T32 etc…
• Strong background in machine learning and deep learning algorithms.
• Ability to design and implement scalable and efficient AI system
• Advanced knowledge of natural language processing for text generation task
• Ability to stay updated with the latest advancements in generative AI research and incorporate them into work
• Proficiency in Python, TensorFlow, and PyTorch for developing AI models
• Hand-on experience in Version Control Systems, Change Management Systems ,familiar with Atlassian tools including JIRA, Confluence and Bitbucket
• Highly motivated and willing to take responsibility & ownership and adhere to the deadlines.Able to work well independently and in a team.
• Excellent interpersonal & communication skills, ability to work with cross-functional teams and leadership capabilities
• Excellent problem solving and analytical skills Good team player in a multi-site/multi-cultural work environment
  
  

Contact:

Gowri Shenoy, LinkedIn

#WeAreIn for driving decarbonization and digitalization.

As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Are you in?

We are on a journey to create the best Infineon for everyone.

This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.

Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.

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