Top Tech Jobs & Startup Jobs

As a Staff Software Engineer focused on Deep Learning Acceleration, you will optimize Deep Learning networks for Autonomous Vehicles, analyzing system performance and software architecture.

Develop and optimize deep learning architectures for ADAS models, troubleshoot issues, integrate algorithms into devices, and ensure seamless collaboration with data teams.

The Senior Software Engineer will develop components for TensorRT, enhance deep learning inference capabilities, and collaborate with experts on model deployment.

Develop and optimize machine learning and computer vision models, enhance 3D geospatial models, mentor team members, and track project progress.

The Staff Deep Learning Engineer will develop and improve computer vision systems using deep learning, collaborate cross-functionally, and automate model improvement cycles for performance optimization.

Design and develop scalable infrastructure for NVIDIA's deep learning libraries, focusing on automation and testing for diverse platforms. Collaborate on software engineering projects to enhance development and testing processes.

Develop and implement machine learning algorithms for various bioinformatics problems, collaborating with cross-functional teams to optimize performance for genomic technologies.

Develop and implement advanced AI and deep learning models focusing on Reasoning Agentic AI and Data Science, while mentoring junior team members and utilizing various AI technologies.

As a Senior DevOps Engineer at NVIDIA, you will optimize build, test, and release processes for deep learning frameworks, configure and maintain deployment tools, and lead best practices in software development.

Join the TAO Toolkit team to architect and develop deep learning algorithms for computer vision and multi-modal AI, optimizing performance and training methods.

Develop production-quality software for NVIDIA's AI stack, analyze performance, mentor junior engineers, and innovate in deep learning applications.

Develop and optimize tools for Deep Learning engineers, tune training workloads, support community benchmarks, and collaborate on NVIDIA's AI platform.

As a Performance Engineer, you'll optimize Deep Learning tools and workloads for NVIDIA GPUs, collaborating across teams and with the open-source community.

Develop distributed backends for Deep Learning frameworks, enhance performance through compiler optimizations, and support enterprise customers with large-scale AI models.

As a Senior Deep Learning Engineer, you will develop optimizations for generative AI, implement cutting-edge models, and collaborate with diverse teams at NVIDIA.

Develop deep learning algorithms for internal and third-party codebases, collaborate with the community, and engage in software development tasks.

Develop and maintain low-level drivers for NVIDIA's next generation deep learning hardware, focusing on system software stack and driver verification.