Top Tech Jobs & Startup Jobs in Seattle, WA

As a Deep Learning Compiler Engineer, you'll analyze deep learning networks, develop optimization algorithms, and collaborate on performance improvements for NVIDIA's deep learning software.

The role involves developing deep learning architectures, performing performance analysis, and collaborating on the direction of deep learning hardware and software.

Join NVIDIA's HPC compiler team to develop optimizing compilers focusing on C++, Fortran, and Python for GPUs and Multicore CPUs, addressing complex compilation problems and enhancing parallel computing.

The Senior Solutions Architect will design and support AI infrastructure using NVIDIA GPUs, engage with technical stakeholders, and ensure successful implementation of solutions to enhance customer satisfaction.

Lead and develop engineering and data teams focused on autonomous vehicle systems, overseeing data curation and algorithm development for AI training and simulation.

The Senior Deep Learning Engineer will develop optimizations for AI inference workloads, collaborate across teams, and stay updated on AI advancements.

The role involves designing and scaling observability platforms, developing telemetry pipelines, and collaborating with engineering teams to ensure the reliability and performance of AI/ML systems.

As a Principal Quantum Error Correction Research Scientist, you'll innovate fault-tolerant quantum computing technologies and collaborate with multidisciplinary teams to advance quantum computing systems.

Analyze and develop architectures for AI and high-performance computing to optimize deep learning workloads, using mathematical frameworks and simulations.

Design and implement protocols and algorithms for high performance computing systems, focusing on performance optimization and collaboration with hardware teams.