Senior Tech Lead Manager, Model Efficiency
Cohere- Full Time
- Senior (5 to 8 years)
Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Applied Math, or a related field, or equivalent experience, and at least five years of overall experience, including three or more in team management with strong interpersonal and leadership skills. Proficiency in C++ and Python is required, demonstrating technical versatility, and experience in designing and testing large-scale software is preferred.
As a Software Engineering Manager, you will be responsible for managing a team of engineers focused on the development of accelerated image and data processing solutions, leading and empowering the team to meet project goals and scope, building and maintaining a project roadmap, determining project goals and execution, fostering an inclusive environment, and collaborating with the open source community.
Designs GPUs and AI computing solutions
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.