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    Senior MLOps Automation Engineer - Santa Clara, United States - NVIDIA

    NVIDIA
    NVIDIA Santa Clara, United States

    3 weeks ago

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    Description

    We're on the lookout for passionate and talented individuals to join our team and be a crucial part of our software development journey. As a MLOps Automation Engineer you'll work closely with our development, operations, and security teams and be at the heart of crafting an exceptional developer experience. Let's dive into what you'll be up to.

    What you will be doing:

    • Craft, maintain, and enhance CI/CD tools for both on-prem and cloud deployment of our software, with a laser focus on minimizing cognitive load and creating lightning-fast feedback loops for our software developers.
    • Collaborate closely with development, operations, and quality assurance teams to optimize MLOps practices, tools, and infrastructure, ensuring a seamless developer experience with minimal toil, and boosting the efficiency of continuous integration, continuous delivery (CI/CD), and software release management.
    • Dive into the world of automation, streamlining build, deployment, and release processes using infrastructure as code (IaC) tools like Terraform. Make these processes a breeze, reducing manual effort and freeing up creative brainpower for our developers.
    • Instrument, measure, and evaluate our developer practices with a focus on reducing the time it takes to get code into production for our software developers.
    • Collaborate with operations and security teams to ensure proper configuration and management of infrastructure resources, including containers, databases, and networking, following standard processes for security, scalability, and cost optimization.
    • Stay up-to-date with the latest advancements in MLOps tools, technologies, and standard methodologies, and provide recommendations for continuous improvement of our software development and deployment processes.

    What we need to see:

    • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
    • 8+ years of hands-on experience in large and complex software development environments and Experience with large code bases is a plus.
    • Proven experience as a Software Engineer, with a strong focus on enhancing developer productivity through streamlined processes and tools.
    • Systems thinker with a willingness to learn new technologies and propose innovative solutions that cross team and system boundaries.
    • Programming and scripting skills in languages such as Python, Java, Shell, or PowerShell, and proficiency in version control systems such as Git.
    • Familiarity with popular CI/CD tools (e.g., Jenkins, GitLab CI, Travis CI, CircleCI), build systems (e.g., CMake, Bazel, Gradle), and version control systems (e.g., Git, Perforce).
    • Knowledge of infrastructure as code (IaC) tools and concepts, including Terraform, and experience with cloud computing platforms.
    • Familiarity with containerization technologies such as Docker and container orchestration platforms such as Kubernetes.
    • Solid understanding of software testing principles and experience with automated testing frameworks and tools.
    • Knowledge of release management practices and tools, covering versioning, branching, merging, and tagging.

    Ways to stand out from the crowd

    • Experience with GPU-accelerated applications or technologies.
    • Thrive in a dynamic, multi-tasking environment with ever-evolving priorities.
    • Strong background with Jenkins on k8s at scale.
    • Previous success stories with a large-scale operations team.
    • Outstanding interpersonal skills and communication with all levels of management.

    With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our engineering teams are growing fast in some of the most impactful fields of our generation: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you

    The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

    You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

    NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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