Top Python Jobs

The Principal Engineer in AIOps will design, develop, and deploy AI-powered solutions for IT operations, working closely with engineers and data scientists. Responsibilities include applying AI techniques like machine learning and natural language processing to enhance IT infrastructure, leading product design and development, integrating AIOps tools, and ensuring customer satisfaction through effective collaboration.

As a Principal Software Engineer at NVIDIA, you will lead the development of visual AI software, invent and prototype tools and services, optimize production code for GPUs, and collaborate with research teams to advance computer vision technologies. Your role involves mentoring, project planning, and driving innovation in AI applications.

The Senior SOC Design Engineer will define methodologies and tools for building System-On-Chips efficiently, identify process inefficiencies, and own design quality checks to ensure high-quality RTL for the physical design team. The role requires collaboration with various teams and a strong foundation in SOC design and automation.

The Senior Compiler Engineer will lead the development of an SDK for NVIDIA's Programmable Vision Accelerator (PVA). Responsibilities include managing SDK releases, ensuring quality performance benchmarks, collaborating with various teams, and addressing technical risks. The role demands extensive experience in software development, particularly in compilers and associated tools.

As a Senior Memory System Resiliency Architect at NVIDIA, you will work with design, product, and quality teams to enhance memory system resilience against errors. You'll collaborate with DRAM vendors and utilize industry learnings to improve resiliency methodologies for future NVIDIA products and DRAM generations.

In this role, you will lead the development of software solutions, architect systems for performance and scalability, mentor junior engineers, and drive innovation by integrating new technologies. You'll collaborate with teams to meet project requirements and advocate for best practices in software development.

In this role, you will design and deploy simulation tooling for autonomous vehicles, integrate software and hardware components, and conduct testing and analysis. Your work will directly impact the development of self-driving technology by collaborating with external partners and internal teams.

The GPU Display Firmware Engineer will design, develop, test, and optimize GPU display firmware, implement industry-standard display technologies, and work closely with various teams to innovate display features. Strong skills in UEFI firmware development and display technology expertise are required, alongside programming proficiency in Python and C.

The Senior AI Platform Engineer will develop and optimize infrastructure for scalable AI workloads on NVIDIA hardware, debug AI jobs using tools like Nsight and CUDA, and collaborate with teams to enhance performance. This role involves creating performance analysis tools and optimizing AI frameworks like PyTorch to improve efficiency across NVIDIA's AI workloads.

You will design and develop software for the Cumulus Linux operating system, work on bringing it up on next-generation Nvidia switches, and maintain software using Python, C, and Shell. Collaborate across teams to deliver features, debug issues reported by testing and customers, and work with open-source software.

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.

The Senior Software Engineer will design, develop, test, and maintain routing protocols and control plane software, working with technologies like BGP and OSPF. The role includes mentoring other engineers and collaborating with teams to enhance feature development.

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, 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.