Own and grow strategic enterprise Life Sciences accounts, build executive relationships, develop account and growth strategies, manage P&L and delivery quality, expand analytics, AI, and cloud platform opportunities, and shape proposals and executive content to win large engagements. Partner with delivery and product teams to deliver strong client outcomes and translate advanced technology into commercial business impact.

In this role, you will design and deploy advanced machine learning and Generative AI solutions, leading projects from conception to deployment while mentoring junior team members.

Ph.D. interns apply machine learning and AI to semiconductor chip design or enterprise engineering tools. Responsibilities include developing ML models for EDA automation, placement, timing, power, and verification, or deploying LLM, RAG, and agentic systems. Interns will train, evaluate, and deploy models, conduct rigorous experiments, collaborate with engineering and technology stakeholders, assess production performance and safety, and present findings to leadership. The role requires doctoral research in AI, machine learning, computer science, electrical engineering, data science, or a related field.