Senior/Staff Engineer, Data Scientist

• Develop AI, LLM, ML and statistical based solutions to build state-of-the-art predictive, prescriptive , optimization and automation , pattern-mining solutions for silicon design verification and firmware validation
• Collaborate with cross-functional teams to ensure the accuracy, reliability, and performance of semiconductor products.
• Drive technical innovation and culture within the team by participating in generating IP and inspiring team to innovate.
• Participate in end-to-end project scoping and stakeholder discussions to determine technical merit of the idea, vale proposition and resource requirements.
• Interact with senior leadership, and cross functional teams to define scope, identify risks, deploy scalable solutions & lead multiple projects execution
• Continuously learn as well as mentor team on recent progress on semiconductor and AI/ML domain.

• Education: masters or PhD in Computer Science, Electrical Engineering, or a related field.
• Experience: 8+ years in data science and machine learning. Experience in silicon verification or semiconductors in general is desirable.

Technical Skills

• In-depth understanding statistics, classical ML algorithms, neural networks and in-depth understanding of algorithms and formulation behind LLM, RAG and agents.
• Hands on experience and solid understanding of data engineering and building deployment pipelines for solutions built.
• Be able to extract, process and clean data using known frameworks.
• Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks (eg, TensorFlow, PyTorch) and data visualization tools (eg, Tableau, Power BI).

Soft skills

• Strong passion and attitude to work in semiconductor industry delivering high value and high impact data science solutions.
• Attitude and temperament for team-work, mentoring, learning, ethics and professional communication.