NVIDIA, the world leader in accelerated computing, is seeking a Senior Software Engineer specializing in Robotics and AI. This role focuses on enabling humanoids loco-manipulation skills and building pioneering models for complex robotic tasks.
The position offers an exciting opportunity to work at the intersection of robotics and artificial intelligence, developing cutting-edge solutions for humanoid robots. You'll be part of a multidisciplinary team working on advanced AI algorithms, large-scale infrastructure development, and innovative robotics applications. The role involves both theoretical and practical aspects of robotics, from model development to hardware implementation.
As a Senior Software Engineer, you'll be responsible for creating scalable data processing workflows, developing AI algorithms, and building infrastructure for AI training and inference of foundational models. The position requires expertise in Python or C++, deep learning frameworks, and hands-on experience with robotic hardware.
NVIDIA offers a highly competitive compensation package, with a base salary ranging from $148,000 to $287,500 USD, plus equity and comprehensive benefits. The company is known for being one of the technology world's most desirable employers, offering opportunities to work with some of the most forward-thinking professionals in the industry.
The ideal candidate will have an advanced degree in a relevant field, strong background in robotics or autonomous systems, and experience with robot learning. Additional valuable skills include experience with physics simulation frameworks, control methods, and building multimodal foundation models.
Located in Santa Clara, CA, you'll be working at the heart of Silicon Valley, contributing to groundbreaking developments in AI and robotics. NVIDIA's commitment to innovation and technological advancement makes this an excellent opportunity for someone passionate about pushing the boundaries of what's possible in robotics and AI.
Join NVIDIA to be part of a team that's transforming industries through AI and accelerated computing, while working on some of the most challenging and exciting problems in robotics today.