Top Python Jobs

The Senior BizOps Engineer will optimize the CI/CD pipeline, support automation processes, analyze ITSM activities, and enhance system reliability through proactive operations management.

As a Senior Deep Learning Performance Architect, you will develop hardware architectures, benchmark AI workloads, and analyze performance for AI applications, collaborating with architecture teams to enhance NVIDIA's computing products.

Lead the engineering team in developing AI-driven productivity tools and applications, oversee collaboration with product managers, and manage engineering workflows for large-scale software deliveries.

The Senior Software Engineer will own the delivery of software tasks, improve code quality, drive integration of services, mentor team members, and collaborate in agile processes to enhance the customer experience and operational metrics.

Design and build scalable data pipelines, drive performance, test code, innovate solutions, and collaborate with teams to enhance SpendingPulse.

The Senior Architect will model and analyze GPU and SoC features, develop testing infrastructure, mentor engineers, and innovate architecture solutions.

The Senior Mask Design Engineer will perform layout for mixed-signal circuits, collaborate with engineers, and ensure designs meet specifications.

The Manager of Software Engineering will enhance security automation, manage SOC workflows, and lead cross-department initiatives, requiring deep technical and communication skills.

The Principal Software Engineer will lead the development of enterprise AI platforms, managing the entire software lifecycle and ensuring system reliability and performance while mentoring teams and driving technological advancements.

Lead initiatives to transform IT infrastructure for AI workloads, automate processes, and collaborate with teams to innovate IT products.

The Data Engineer II will develop AI/ML models, automate data workflows, optimize ETL processes, and collaborate in a team to enhance data engineering practices.

As a Senior ASIC Verification Engineer at NVIDIA, you'll verify GPUs, developing testbenches and strategies, and collaborating with teams to ensure design verifiability.

As a Principal Software Engineer at Mastercard, you will lead DevOps initiatives, improve automation, and architect services for mobile applications.

The Senior Performance Engineer will implement performance practices for large-scale AI systems, analyze compute runs, and optimize hardware/software workflow.

As a VLSI Physical Design Engineer, you will run integration flows, collaborate on design fixes, optimize synthesis workflows, and enhance tool automation.

The role involves collaborating with business users to develop AI/ML solutions for manufacturing systems, enhance enterprise-class systems, and manage cross-functional projects.

Conduct performance analysis on large multi-GPU clusters, evaluate libraries and hardware interactions, debug issues, and collaborate across teams.

The BizOps Engineer I will engage in the full service lifecycle, automate processes, optimize system health, and collaborate across teams to enhance operational performance.

The Senior Software Test Development Engineer will validate NVIDIA's Deep Learning software through testing, automation, and collaboration with AI product teams.

Design and implement tools and data pipelines for operational excellence in GPU cloud services while ensuring reliability and performance. Collaborate and consult with teams on best practices and incident management.

The role involves researching, designing, and optimizing deep learning systems, particularly focusing on large language models and enhancing LLM inference efficiency.

Lead and manage automotive software release cycles, coordinate with development teams, track milestones, and ensure quality for successful deployment.

The BizOps Engineer II will enhance CI/CD pipelines, automate deployments, ensure system reliability, and improve operational standards by collaborating with various teams.

The Lead BizOps Engineer will enhance automation, support applications, and lead operational best practices while collaborating across teams to improve service reliability and customer experience.

The BizOps Engineer II will enhance automation, support DevOps CI/CD pipelines, ensure system resilience, and collaborate with global teams to optimize operational processes.