Senior Principal Software Engineer, AI Infra Compute

Oracle•Austin, TX

About The Position

Our team is the GPU Availability and Monitoring team in the Compute Org. we are responsible for designing and developing architectural changes for GPU delivery, health monitoring, triage automation, and diagnostic services. These are essential for running distributed AI/ML/HPC workloads across thousands of GPUs, leveraging technologies like RoCE and Infiniband. We are looking for a highly skilled and motivated distributed systems engineer who can architect solutions to scale and optimize Monitoring and Repair solutions for AI infrastructure components like GPU control plane and GPU data plane that provide computing resources to customer AI workloads. You will provide technical leadership to the team and bring clarity to ambiguous problems and come up with innovative solutions. You will collaborate with cross-functional teams to enhance our AI infrastructure to deliver exceptional customer experience and peak performance.

Requirements

BS (or equivalent experience) in Computer Science, Engineering, or related field.
10 years of experience in software development with programming languages including, but not limited to, C, C++, C#, Java, Go, Rust.
5 years of experience designing and developing large-scale distributed systems, services and infrastructure.
3 years of experience providing technical leadership and clarity to cross-functional teams and projects while collaborating across stake holders.
Systematic problem-solving approach, strong communication skills, a sense of ownership, and drive.
Ability to adapt to a fast-paced, dynamic environment and manage multiple tasks and priorities effectively.
Development methodologies: Agile Principles
Data management: data modeling, data warehousing, data governance
Cloud infrastructure: OCI, AWS, Azure, Google Cloud Platform (GCP)
Operating Systems: Linux, MacOS
Scripting languages: Bash, Perl, Ruby
Familiarity with containerization technologies such as Docker
API design and development: RESTful APIs, API gateways, API security
Familiarity with API documentation tools such as Swagger/OpenAPI
Experience with AI-powered tools and platforms: chatbots, virtual assistants, predictive analytics

Nice To Haves

Experience in managing cloud infrastructure with hundreds of thousands of servers.
Experience in containerization technologies such as Docker and Kubernetes.
Experience in scheduling high-performance workloads on Kubernetes or Slurm.

Responsibilities

Architect solutions to scale and optimize Monitoring and Repair for components like GPU, CPU, Network, Storage with the goal to optimize customer experience and customer workload performance on our AI infrastructure.
Develop “best-in-class” AI compute infrastructure for our customers by ensuring that the services and the components are well-defined and modularized, secure, reliable, diagnosable, actively monitored, compliant and reusable.
Collaborate with cross-functional teams, including development, operations, and product management, to understand their requirements and design respective solutions.
Optimize and improve the software development process in the organization to improve developer efficiency.
Mentor junior developers and drive modern software engineering practices like leveraging data/telemetry to make decisions, well-defined interfaces across components, design reviews, coding standards, code reviews, and comprehensive coverage from unit test, integration test and active production monitoring.
Develop benchmark metrics and automation to drive and track performance and reliability across customer workload and correlate with lower infrastructure stack.
Stay updated with industry trends, emerging technologies, and best practices in distributed systems and AI infrastructure management.

Benefits

Medical, dental, and vision insurance, including expert medical opinion
Short term disability and long term disability
Life insurance and AD&D
Supplemental life insurance (Employee/Spouse/Child)
Health care and dependent care Flexible Spending Accounts
Pre-tax commuter and parking benefits
401(k) Savings and Investment Plan with company match
Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
11 paid holidays
Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance