Vice President Of Artificial Intelligence Engineering Jobs in California

Developing algorithms for deep learning, data analytics, machine learning, or scientific computing, and analyzing and improving performance of GPU implementations

Developing and training state-of-the-art Deep Neural Networks for path generation

Collecting training datasets and real-time inference run-times using simulators/gyms as well as performing in-vehicle tests

Developing core deep learning algorithms and maintaining build, test, and distribution infrastructure for deep learning frameworks on NVIDIA supported platforms

Providing capability to use and fine-tune the latest state-of-the-art Machine Learning and Deep Learning models depending on the use-cases

Developing and prototyping new deep learning algorithms and models for foundation model tuning or for neural machine translation

Industry experience in project management

Define, plan, and execute projects and program plans based on management guidance and senior technical mentorship

Collaborate with engineering managers, software developers, and product managers to drive the planning and execution of multiple dynamic software development projects

Assess the technical feasibility of new products by clarifying and analyzing requirements with software/hardware architects, technical leads, and engineers

Lead across cross-functional teams, including business units, engineering organizations, and finance/operations

Excellent presentation and leadership skills, able to lead technical discussions