• AI Infrastructure Engineer

    Insight Global (Bothell, WA)


    Job Description

    We are seeking two skilled AI Infrastructure Engineers to join our enterprise telecom company in a pivotal role focused on deploying AI infrastructure for a new cloud platform. You will collaborate cross-functionally with engineering teams to integrate and deploy AI functionalities, supporting the development of new data centers, virtualized environments, and cloud services. This position requires proven experience in AI infrastructure deployment, strong collaboration skills, and expertise in data center development and virtualized environments. Join us in driving innovation and transforming our AI capabilities!

     

    this role's range is $70-79/hr

     

    We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

     

    To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

     

    Skills and Requirements

     

    - Expert understanding of AI/ML infrastructure components, or GPU-based systems preferably in a high-availability, large scale environment.

     

    - Hands-on Experience with NVIDIA DGX servers, BasePOD architectures, and advanced GPU technologies.

     

    - Proficient in Linux/UNIX environments, including scripting/automation tools (Bash, Python, Ansible, Terraform)

     

    - Understanding of AI infrastructure security best practices

     

    Experience with container orchestration (Kubernetes, Docker) and GPU workload management tools.

     

    - Strong knowledge of networking (InfiniBand/Ethernet) and storage solutions in AI/ML contexts. - Understanding of CI/CD pipelines using tools such as Git, Artifactory, Jenkins, etc.

     

    - Experience with AI/ML pipelines (PyTorch, TensorFlow, RAPIDS AI, or other deep learning frameworks)

     

    - Experience with configuring and using monitoring tools (e.g., Prometheus, Grafana, NVIDIA DGCM) null

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].