NVIDIA, a global leader in accelerated computing and AI technology, is seeking a Senior Deep Learning Infrastructure Engineer to join their innovative team. This role presents an exciting opportunity to work at the intersection of deep learning and VLSI design, helping to shape the future of chip development through AI-driven solutions.
The position involves building and maintaining sophisticated deep learning infrastructure that powers AI agents for VLSI design. You'll be working with cutting-edge technology in a company that has continuously reinvented itself and pioneered major advances in GPU technology, computer graphics, and artificial intelligence.
As a Senior Deep Learning Infrastructure Engineer, you'll be responsible for developing highly scalable deep learning platforms, creating robust data pipelines, and building essential infrastructure components including APIs, databases, and services. The role requires close collaboration with domain experts and research teams, where you'll take ownership of productizing and maintaining deep learning solutions.
NVIDIA offers a competitive compensation package with a base salary range of $148,000 to $287,500 USD, plus equity and comprehensive benefits. The company is known for its innovative culture and commitment to pushing technological boundaries, making it an ideal environment for professionals who are passionate about AI and deep learning.
The ideal candidate will bring 5+ years of experience in services, pipelines, and system design, along with strong programming skills in Python or JavaScript. While the core requirements focus on technical expertise, NVIDIA values learning ability and adaptability, making this an excellent opportunity for engineers who are eager to grow and tackle complex challenges.
Working at NVIDIA means joining a team that's at the forefront of AI computing, in an environment that encourages creativity and autonomy. The company's commitment to diversity and inclusion, combined with its position as one of technology's most desirable employers, makes this an exceptional opportunity for career growth and impact in the field of AI and chip design.