Nvidia Senior Systems Software Manager - TAO Build Automation Release 

United States, California 

667624006

In this role, you will lead and supervise the development, implementation, and optimization of continuous integration, continuous deployment (CI/CD) pipelines, and release management processes. This role is critical in ensuring the efficient and reliable delivery of software solutions. The ideal candidate will bring a deep understanding of modern DevOps practices, including automation, orchestration and infrastructure along with leadership experience to drive a high-performing engineering team.

What you’ll be doing:

• Lead a team of developers to improve CI/CD toolsintegration/operations,and full automation of CI/testing

• Lead efforts to resolve production issues and implement necessary integrations.

• Lead the ongoing design, implementation, and preservation of systems and tools across the toolkit stack.

• Design, implement, and manage cloud infrastructure for continuous integration, delivery, and deployment.

• Partner with a multi-functional team including engineering, product, QA to improve development workflows, reduce bottlenecks, handle and minimize risks, and enhance software delivery speed and quality.

• Lead the development of robust processes to write and maintain documentation infrastructure.

• Communicate effectively with technical and non-technical partners to set shared expectations and ensure visibility around the release and deployment process.

• Collaborate with diverse software, research, and hardware teams across geographies to analyze the interplay of hardware and software architectures to solve critical problems and future applications

What we need to see:

• Bachelor’s/Master’s degree or equivalent experience in Computer Science, Information Systems, Engineering, or other related fields

• 8+ overall years of proven experience in software engineering, DevOps, or release management, with at least 3 years of leadership experience or managerial role.

• Proven experience with automation and orchestration tools including Jenkins, Bazel, Gitlab, Docker, Kubernetes.

• Strong expertise in cloud platforms like AWS, Azure, GCP, or others.

• Proven experience in developing production-quality software pipelines for AI, computer vision or multi-modal algorithms, especially with LLMs and Multi-Modal Foundation models.

• Expertise in release management, version control systems and configuration management.

• Strong programming skills in Python and/or C++, and Experience developing integrated AI solutions.

• Proven track record to lead projects, manage timelines, and deliver results in an Agile/Scrum environment.

• Strong analytical and problem-solving skills with a focus on practical and scalable AI solutions.

• Strong interpersonal skills and ability to work in a collaborative environment.

Ways to stand out from the crowd:

• Knowledge of tools like Ansible, Terraform, and Puppet for automating repetitive tasks and infrastructure provisioning

• Proven experience in automating the building and deploying of software around AI infrastructure.

• Experience with security practices and trustworthy AI

• Background with NVIDIA SDKs such as TensorRT, RAPIDS, CUDA, and CUDNN