Top Tech Jobs & Startup Jobs in Seattle, WA

Design, build, and maintain data pipelines and web services using Kafka, ETL, async techniques, and frameworks (Spring/FastAPI). Support frontend and backend development, deployments on Linux/Docker, write tests, collaborate cross-functionally, and drive projects to completion.

The role involves developing algorithms for robotic manipulation, integrating them into real systems, and engaging in multi-person research projects, while mentoring interns and interacting with the academic community.

Designing and implementing deep learning models for autonomous vehicles, collaborating with researchers, and building training datasets and inference pipelines.

The HPC Cluster Engineer manages and optimizes GPU Compute Clusters for EDA and HPC workloads, ensuring performance and reliability through collaboration and automation.

Drive performance improvements in the open-source Triton compiler: design and implement MLIR-based optimizations, hand-tune critical kernels with inline PTX, analyze GPU architectures and numerics, collaborate with hardware and CUDA compiler teams, and iteratively optimize kernels and compiler passes for peak AI performance.

Lead design and implement enhancements to the CUDA C++ compiler front-end and driver, contribute to language specification, improve front-end robustness and compile-time performance, support production releases, and maintain customer/partner relationships.

Develop and debug cloud-native solutions for AI/ML datacenters, focusing on Kubernetes and Slurm enhancements and customer workflows.

Develop and deploy software storage management systems, collaborating with engineering teams to enhance workflow efficiency and quality for NVIDIA's products.

Design and implement GPU cluster scheduling and orchestration features, optimize performance for deep learning workloads, build automation, perform root-cause analysis, and support users and batch scheduler operations at scale.

The Solutions Architect will assist customers in adopting NVIDIA's GPU hardware and software, deploying AI/ML solutions, and engaging with technical teams and customers.