Top Tech Jobs & Startup Jobs in Seattle, WA

Reposted One Month AgoSaved
In-Office or Remote
11 Locations
148K-288K Annually
Senior level
148K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Senior HPC Architect role involves deploying large-scale GPU compute clusters, optimizing system administration, and collaborating with researchers on HPC and AI solutions.
Top Skills: BashCC++Container TechnologyDeep LearningGpuLinux Performance ToolsParallel FilesystemsPython
Reposted One Month AgoSaved
In-Office or Remote
4 Locations
152K-288K Annually
Senior level
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Design and implement high-performance, scalable storage systems and client libraries for AI workloads. Build data loading, checkpointing, caching, POSIX-style and object-store integrations, observability and telemetry, and validate performance with platform, SRE, and AI teams using modern engineering practices.
Top Skills: C/C++CachingCloud InfrastructureFilesystemsGoJavaKubernetesLinuxObject StoresPosixPythonRust
Reposted One Month AgoSaved
Remote
US
184K-288K Annually
Senior level
184K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Translate cutting-edge agent research into secure, production-grade runtime systems: prototype, benchmark, reproduce methods, build agent harnesses and evaluation/red-team workflows, secure agent toolchains, and partner across research, product, and engineering to integrate features into OpenShell.
Top Skills: Adversarial MlAgent HarnessesAgent Safety/SecurityCloud Gpu PlatformsEvaluation FrameworksInference InfrastructureInference OptimizationKubernetesLlmsModel ServingMonitoringMultimodal Generative ModelsPost-TrainingRaySglangStreamingSynthetic Data GenerationTensorrt-LlmTritonVllm
One Month AgoSaved
In-Office or Remote
2 Locations
184K-357K Annually
Senior level
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Architect and optimize large-scale GPU AI infrastructure: profile distributed training/inference, diagnose networking and system bottlenecks, design high-performance clusters, lead POCs, automate benchmarking, and drive technical engagements with customers and internal teams.
Top Skills: ContainersDcgmDgxFabric CountersGpudirect RdmaHgxInfinibandKubernetesLinuxNcclNccl TestsNsight SystemsNvlinkNvswitchPythonRdmaRoceShell ScriptingSlurmSpectrum-X
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