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As a Senior System Software Engineer at NVIDIA, you'll design cloud solutions for distributed systems, working across the whole feature life cycle in a fast-paced environment. Your expertise in Java/Python, cloud infrastructure, and Agile methodologies will be crucial in tackling complex infrastructure challenges.
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
NVIDIA seeks a Senior DevOps Engineer to architect and maintain Kubernetes-based infrastructure, manage large-scale cloud applications, and develop AI automation tools.
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Lead the design, development, and optimization of scalable cloud-native systems and architecture, collaborating cross-functionally while mentoring teams.
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
This role involves leading SAP Production Planning projects, collaborating with teams for system solutions, and providing mentorship in best practices.
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The role involves developing technical and business strategies for NVIDIA's technology adoption among developers, managing relationships with key partners and leading community engagement in cloud technology.
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NVIDIA seeks a Senior Back-End Software Engineer for E-Commerce, responsible for developing and maintaining web applications, collaborating on integrated features, and utilizing AI/ML models and AWS technologies.
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As a Senior System Software Engineer, you'll develop automation tools and infrastructure for Windows while supporting next-gen RTX GPUs and enhancing CI/CD pipelines.
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Coordinate import and export compliance activities, ensure adherence to customs and trade regulations, manage crucial documentation, and maintain audit readiness.
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
As a Senior Software Engineer at NVIDIA, you will architect and build the next-gen authorization service, ensuring reliability and security while integrating core primitives across teams.
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Develop and productize NVIDIA's DRIVE OS software for various automotive platforms, focusing on device drivers and OS solutions. Lead architecture discussions and coordinate with cross-functional teams.
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The role involves collaborating with engineering teams to develop and optimize software for NVIDIA's self-driving platform, interacting with customers to refine products, and leveraging strong programming skills in various technologies.
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Drive configuration management and operational excellence for NVIDIA's commerce platform. Oversee tax engines, payment systems, and operational health while collaborating cross-functionally on technical changes.
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Develop and implement tests for embedded systems, utilizing AI tools for automating QA workflows, and collaborating with engineering teams on product requirements.
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As a Senior SWQA Test Developer, you will ensure the quality of embedded software and automate QA workflows using AI tools while collaborating across teams.
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As a Senior SWQA Test Developer, you will design and execute tests for embedded software, automate QA workflows, and collaborate closely with engineering teams to ensure quality and reliability in products.
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The role involves developing and maintaining Build systems for different OS, optimizing workflows, and collaborating with engineering teams to enhance build stability.
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As a System Software Engineer at NVIDIA, you'll develop GPU system software, collaborate across teams, lead engineers, and debug issues in NVIDIA's GPU driver stack.
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Develop and maintain high-performance RESTful APIs, build responsive user interfaces, deploy cloud applications, and engage in Agile processes.
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Lead a team developing Windows kernel drivers, ensuring quality and delivery while promoting process improvements, mentoring engineers, and collaborating across teams.
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Develop and validate software for NVIDIA's next-gen SOC platform. Debug memory and hardware issues, collaborate cross-functionally, and support new hardware validation.



