Top Python Jobs

As a Senior Software Engineer in the Cumulus Linux team, you will design and develop applications and infrastructure services for NVIDIA's network operating systems. Your role includes coding in Python, C, and Go, collaborating with other teams, debugging issues, and contributing to open-source communities.

Design, implement and maintain system software for GPU communication, participate in architectural discussions, and work with cross-disciplinary teams to meet business needs. The role requires strong programming skills, understanding of computer systems, and experience in networking and virtualization.

As a Senior Software Engineer in the Networking Business Unit, you will design, develop, test, and maintain functionalities related to data forwarding and offload on Ethernet switching platforms and SmartNICs. You will collaborate with various teams, lead multi-functional projects, and implement solutions using modern software tools, while working on core aspects of Cumulus Linux and related technologies.

As a Senior GPU System Performance Architect, you'll develop innovative architectures for GPU-accelerated systems, analyze performance trade-offs, and collaborate with various teams to advance cloud computing technology. Your work will focus on enhancing system design while supporting large-scale data center deployments.

The Senior Site Reliability Engineer will design, deploy, and manage large-scale GPU clusters to support AI workloads. Responsibilities include improving infrastructure through automation, ensuring uptime, conducting root cause analysis for incidents, and integrating new GPU and cloud technologies.

Design, deploy, and manage large-scale GPU clusters for AI workloads. Improve infrastructure automation and quality of service through proactive monitoring and incident resolution. Collaborate with teams across cloud environments and write Root Cause Analysis reports for incidents while participating in on-call rotations.

The Senior DL Algorithms Engineer will optimize deep learning inference workloads, analyze performance characteristics of models, develop software across the stack, and collaborate with co-design teams to innovate AI-powered services.

The Senior DGX Cloud Performance Engineer at NVIDIA will drive performance analysis, optimization, and modeling for NVIDIA's DGX Cloud clusters. Responsibilities include developing benchmarks, analyzing performance bottlenecks, collaborating with external cloud service providers, and enhancing system performance. Candidates should have a strong background in parallel and distributed systems, AI workload optimization, and performance modeling.

The job involves developing and optimizing applications for the Holoscan platform, focusing on real-time sensor I/O and data transfer to NVIDIA GPUs. Responsibilities include designing scalable software, conducting code reviews, collaborating with multi-functional teams, and engaging with customers for product solution design.

The Senior Network Site Reliability Engineer will enhance network operations and ensure high availability of network infrastructure. Responsibilities include automating operations, monitoring performance, resolving issues, and leading the network support team towards operational excellence.

The Senior Site Reliability Engineer will develop software and analytics to improve availability and scalability of Omniverse Cloud products, manage upgrades, maintain SLAs, guide incident management, and collaborate with product leads to ensure reliable production systems.

The System Test Engineer will design and implement RF manufacturing test solutions for embedded and automotive products, develop automated test procedures, troubleshoot RF issues, analyze test data, and stay updated with RF technologies.

Develop infrastructure for product definitions and specifications, design models and tools for automation and optimization, emulate silicon behavior, model product features, and drive new product initiatives while collaborating with multi-functional teams.

As a Software Engineer, you will enhance developer productivity through managing build/release infrastructure, maintaining build systems, running code scans, and collaborating on process improvements using Python. Your role involves building Continuous Integration pipelines and scaling engineering infrastructure for growth.

As a Speed Characterization Engineer, you will develop characterization strategies for NVIDIA's chips, prototype features, create validation plans, and design automation tools. Your role involves collaboration with various teams to optimize performance for consumer and professional products.

As a System Software Engineer at NVIDIA, you will develop SOC drivers, build automation tools, support OS driver development, and collaborate with global teams. You will work on architecture definition, simulation, and triage across various technology verticals, ensuring robust product development.

Responsible for developing test specifications and enhancing testability scope for Nvidia's manufacturing testing, focusing on system-level test. Collaborate with various engineering teams to improve the test infrastructure and support product quality during customer escalations. Utilize strong data analysis and debugging skills in lab environments.