
Lead Systems Engineer
Collaborate with internal stakeholders to understand future NVIDIA deployments and data center requirements to support their project exigencies and improve DGX mini-pod efficiency in a Kubernetes based platform. Utilize your capabilities in DevOps, DataOps, and IT architecture design to streamline infrastructure processes and optimize scheduling and performance. Coordinate with data science and business teams to identify future AI needs and requirements. Manage system operations for data processing and AI workloads. Analyze current data designs to optimize and provide structural improvements to handle the growth of workloads. Define and grow HPC/AI infrastructure and best practices. Set-up alerting, reports, and dashboard for monitoring overall system health. Provide reports and updates on usage, maintenance, and debugging in an agile environment.
Expert programming skills in Linux Shell/CLI, Bash, Python, and Go
Strong knowledge and understanding of CI/CD processes and deployment tools
Experience developing large-scale data management systems (PB+) and serving dozens of users/data scientists
Familiarity with GPU computing (CUDA, OpenCL) and HPC system software stack
Python
Chef
Puppet
Bash
Go
Docker
Tensorflow
Kubernetes
Ansible
Pytorch
Terraform
Time Management Skills
Driven and self-motivated
Communication Skills
Problem-solving and resourcefulness
Flexibility/Adaptability
Multi-tasking
Detail oriented and highly organized
According to JobzMall, the average salary range for a Lead Systems Engineer in 7900 Tysons One Pl, McLean, VA 22102, USA is between $93,000 and $129,000. This range is based on the salary data from anonymous Lead Systems Engineers who have self-reported their salaries on JobzMall.
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Deloitte Touche Tohmatsu Limited, commonly referred to as Deloitte, is a multinational professional services network. Deloitte is one of the "Big Four" accounting organizations and the largest professional services network in the world by revenue and number of professionals.

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