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Reposted 34 Minutes AgoSaved
In-Office
4 Locations
148K-288K Annually
Senior level
148K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
As an EDA Workflow Optimization Engineer, you will optimize and enhance workflows for chip development, working with teams to investigate, debug, and innovate tools for efficient engineering processes.
Top Skills: C/C++Eda ToolsPerlPythonShellUnix
Reposted 34 Minutes AgoSaved
In-Office
3 Locations
184K-357K Annually
Senior level
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
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.
Top Skills: C/C++DcgmEmbedded LinuxNcclNvidia GpuPythonUfm
Reposted 34 Minutes AgoSaved
In-Office or Remote
3 Locations
184K-357K Annually
Senior level
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Design and optimize high-performance agentic AI systems for the CUDA ecosystem, collaborating with various teams to enhance NVIDIA products.
Top Skills: C/C++CudaPython
Reposted 34 Minutes AgoSaved
In-Office
2 Locations
168K-311K Annually
Senior level
168K-311K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Responsible for front-end design implementation methodologies, flow automation, and application support to optimize power, performance, and area on critical designs.
Top Skills: CadenceEda ToolsMakePerlPythonSynopsysTcl
Reposted 34 Minutes AgoSaved
In-Office
3 Locations
168K-311K Annually
Senior level
168K-311K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Nvidia is hiring a Senior SOC/IP Methodology Engineer to design custom SoC/IP solutions, optimize methodologies, and collaborate with internal and external partners to ensure quality and integration.
Top Skills: CadenceEdaGdsMentorPerlPythonRtlSynopsysTcl
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Reposted 35 Minutes AgoSaved
In-Office or Remote
4 Locations
184K-357K Annually
Expert/Leader
184K-357K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Develop and deploy software storage management systems, collaborating with engineering teams to enhance workflow efficiency and quality for NVIDIA's products.
Top Skills: DevOpsLinuxPerlPython
Reposted 35 Minutes AgoSaved
In-Office
2 Locations
136K-265K Annually
Senior level
136K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Develop physical verification methodologies for GPUs and SOCs, focusing on DRC, LVS, and antenna flows, while ensuring tape-out success and collaboration with design teams.
Top Skills: CalibreEda ToolsIcc2IcvInnovusPerlPythonTsmc A16
Reposted 35 Minutes AgoSaved
In-Office or Remote
3 Locations
224K-357K Annually
Senior level
224K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Lead cryptographic key management initiatives, architect security platforms, and enhance internal developer experiences while implementing cryptographic automation.
Top Skills: .NetAWSAzureGoGoogle Cloud PlatformJavaAzureOracle Cloud InfrastructurePython
Reposted 35 Minutes AgoSaved
In-Office
4 Locations
148K-288K Annually
Senior level
148K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Design, deploy, and operate GPU compute clusters for EDA and HPC. Optimize performance, manage infrastructure, support researchers, and enhance automation.
Top Skills: AnsibleBashCC++DockerGoGpfsGpuGrafanaHpcInfinibandKubernetesLinuxLsfLustreOpensearchPbsPrometheusPythonRdmaRoceRustSlurm
Reposted 35 Minutes AgoSaved
In-Office or Remote
3 Locations
184K-357K Annually
Senior level
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The role involves developing and optimizing AI infrastructure for large-scale training and inference, ensuring system reliability and efficiency through software engineering practices.
Top Skills: C/C++ElkIb VerbsJaxLibfabricsLokiNcclPrometheusPythonPyTorchRdmaTensorFlowUcx
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