Future Tech Jobs
Future Tech Jobs
You will play a key role in NVIDIA's JAX development, designing and implementing core components to optimize performance on NVIDIA products. Collaborate with AI researchers to build efficient, future-proof models and tools that bridge the gap between numerical computing and real-world applications.
You will play a key role in NVIDIA's JAX development, designing and implementing core components to optimize performance on NVIDIA products. Collaborate with AI researchers to build advanced models and tools that enhance the efficiency of AI systems, bridging the gap between cutting-edge research and real-world applications.
This role involves advanced threat hunting and intelligence analysis to protect organizations against sophisticated cyber threats. You will work closely with customers to provide actionable threat intelligence, conduct sophisticated threat hunting operations, and deliver high-impact briefings and recommendations.
This role involves advanced threat hunting and intelligence analysis to protect customers against sophisticated cyber threats. You will work closely with clients to deliver actionable threat intelligence, conduct dark web monitoring, and provide strategic advisory services using CrowdStrike's cutting-edge tools and methodologies.
This role involves driving performance and scalability for NVIDIA's DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator, DCGM, and NIM. The engineer will diagnose complex distributed systems issues, build automated testing and monitoring tools, and contribute to open-source communities to optimize large-scale AI infrastructure. Work includes deep performance analysis, CI/CD integration, and collaboration with AI teams and cloud providers.
This role involves driving performance and scalability of NVIDIA's DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator and DCGM. The engineer will diagnose complex distributed systems issues, build automated testing and monitoring tools, and contribute to open-source communities to optimize large-scale AI infrastructure. Work includes deep performance analysis, CI/CD integration, and collaboration with AI teams to simulate real-world workloads.
This role involves driving performance and scalability of the NVIDIA DGX Cloud software stack, focusing on Kubernetes and NVIDIA AI infrastructure. The engineer will diagnose complex distributed systems issues, develop automated testing frameworks, and optimize large-scale AI workloads from orchestration to hardware. Collaboration with AI teams and open-source communities is key to advancing real-world AI deployment at scale.
This role involves driving performance and scalability of the NVIDIA DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator, DCGM, and NIM. The engineer will diagnose complex distributed systems issues, build automated testing and monitoring tools, and contribute to open-source communities to optimize AI infrastructure at scale.
This role involves driving performance and scalability of the NVIDIA DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator, DCGM, and NIM. The engineer will diagnose complex distributed systems issues, build automated testing and monitoring tools, and contribute to open-source communities to optimize large-scale AI infrastructure. Work includes deep performance analysis, CI/CD integration, and collaboration with AI teams and upstream projects.
This role involves driving performance and scalability for NVIDIA's DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator, DCGM, and NIM. The engineer will diagnose complex distributed systems issues, build automated testing and monitoring tools, and collaborate with AI teams and open-source communities to optimize large-scale AI infrastructure. Key responsibilities include root-causing performance bottlenecks and enabling continuous testing through CI/CD pipelines.
This role involves driving performance and scale characterization for NVIDIA's DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator, DCGM, and NIM. The engineer will debug large-scale distributed systems, build automated testing and monitoring tools, and collaborate with AI teams and open-source communities to optimize AI infrastructure efficiency and cost. Work includes deep performance analysis, CI/CD integration, and contributing to upstream projects like Kubernetes and CNCF.
This role involves driving performance and scale characterization for NVIDIA's DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator, DCGM, and NIM. The engineer will debug complex distributed systems, build automated testing and monitoring tools, and collaborate with AI teams and open-source communities to optimize large-scale AI infrastructure. Work includes root cause analysis, CI/CD integration, and contributing to upstream projects like Kubernetes and CNCF.
This role involves driving performance and scalability for NVIDIA's DGX Cloud software stack, focusing on Kubernetes and NVIDIA components like GPU Operator and DCGM. The engineer will diagnose complex distributed systems issues, build automated testing frameworks, and collaborate with AI teams and open-source communities to optimize large-scale AI infrastructure. Key responsibilities include continuous performance testing, root cause analysis, and contributing to upstream projects like Kubernetes and CNCF.
As a Sr. Security Researcher II, you will join CrowdStrike's Advanced Research Team (ART) to conduct in-depth vulnerability research, develop automated solutions for data analysis, and collaborate with other teams to provide technical expertise and actionable insights. The role involves working on both long-term research projects and ad-hoc tasks, requiring a strong background in information security, reverse engineering, and software development.
As a Senior Security Researcher in CrowdStrike's Advanced Research Team, you will develop automated solutions for data collection and analysis, perform vulnerability research, and collaborate with other teams to provide technical expertise and actionable insights. The role involves working on both long-term projects and ad-hoc needs, with a focus on identifying and mitigating security threats.
