Bachelor's degree or equivalent practical experience.
8 years of experience in product management or related technical role.
3 years of experience taking technical products from conception to launch.
Experience developing or launching infrastructure products or technologies within networking, storage, compute hardware, databases, file systems, data analytics, cluster management, and other software infrastructure areas.
Preferred qualifications:
Master's degree in a technology or business related field.
Experience working with AI/ML developers with an understanding of the AI development lifecycle.
Experience in a go-to-market role, such as Outbound Product Management, Technical Product Marketing, or Developer Relations, for a technical B2B product.
Experience in launching technical products and growing developer communities.
Understanding of the AI/ML landscape, including familiarity with frameworks (PyTorch, JAX, TensorFlow/Keras) and the competitive ecosystem (NVIDIA ).
Excellent collaboration skills, with the ability to work with ambiguity to solve problems.
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
10 years of experience in IC product development or test engineering, and manufacturing (i.e., characterization, qualification, bring-up, yield improvement, and debug).
6 years of experience in people management, developing employees.
Experience building test program and HVM floor engineering support/management.
Experience working with vendors.
Preferred qualifications:
Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience in wafer probe card, ATE hardware, and managing suppliers on execution of test hardware development and bring-up.
Experience in test engineering, DFT, test hardware, and test program development (e.g., Teradyne UltraFlex, Advantest 93k platforms).
Experience in programming/scripting (e.g., C and C++, Python, or Perl).
Knowledge of probability and statistical fundamentals for data analysis and process control design.