Top Tech Jobs & Startup Jobs in Los Angeles, CA

Reposted One Month AgoSaved
In-Office or Remote
CA, USA
168K-265K Annually
Senior level
168K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Design and simulate analog/digital circuits and power delivery networks (die to platform) for processors. Perform block- and system-level simulations, ensure reliability/performance, mentor junior engineers, and collaborate globally to improve netlist and timing quality.
Top Skills: AllegroAnsysCadence VirtuosoHspiceMatlabMixed-Signal RtlPerlPrimesimPythonS-ParametersSigritySimplisSimulinkSkillSpectreSpiceTclVerilog-AmsXa
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
Reposted One Month AgoSaved
In-Office or Remote
CA, USA
168K-259K Annually
Senior level
168K-259K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The role involves integrating AI supercomputing systems into datacenters, collaborating with engineering teams, and producing documentation for processes related to datacenter integration and fit-out.
Top Skills: BacnetGpu Computing SystemsGrafanaModbusPrometheusSplunk
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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