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The Application Engineer will engage with semiconductor teams to adopt AI-native verification, support onboarding, drive product usage, and relay customer feedback for feature development.

Develop and apply AI techniques to enhance pre-silicon verification methodologies, collaborate with machine learning engineers, and improve design lifecycles.

The role involves designing and scaling ML infrastructure for LLMs, including building training pipelines and deploying models in cloud and on-prem environments. Collaboration with engineers and managing GPU/TPU workloads is key.

The Research Intern will engage in building solutions for chip design and AI, collaborating directly with experienced engineers and scientists.

The Formal Verification Engineer will develop innovative AI-driven solutions for chip design, employing formal methods and collaborating with ML and software teams.

Manage daily office operations, coordinate events, assist with HR onboarding, provide administrative support, and cultivate a positive workplace culture.

Lead sales at ChipStack, managing the sales cycle and revenue strategy while collaborating with engineers and product teams.

Design, engineer, and research agentic systems to bridge LLM agent research with engineering for chip design workflows, collaborating with various teams and evaluating performance metrics.

The Founding Product Manager will lead product strategy, collect customer feedback, and drive the development of an AI-powered chip design platform.