Software Engineering Intern

What you'll do

• Debug complex system-level issues using Jenkins.
• Support the architecture and design of cloud storage infrastructure.
• Implement and troubleshoot storage and data platform tools.
• Automate storage infrastructure end-to-end using automation and scripting.
• Prove workflows and infrastructure for production software development and chip design.
• Perform application tracing, modeling, diagnostics, and performance tuning for chip content.
• Build infrastructure for back-end analytics and deep learning validation frameworks.
• Accelerate data training and real-time inference using CUDA and TensorRT.

What we're looking for

• Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field.
• Must clearly indicate an anticipated graduation date (month and year) on the resume or CV.
• Prior experience or knowledge in Java, JavaScript (including Node, React, Vue), SQL, C, C++, CUDA, OOP, Go, Python, Git, Perforce, Kubernetes, and Microservices may be required.
• Prior experience or knowledge in Schedulers (LSF, SLURM), Containers (Docker), and Configuration Automation (Ansible) may be required.
• Course or internship experience in Relational Databases, Linear Algebra, Numerical Methods, Operating Systems, Scheduling, Process Control, or Hardware Virtualization may be required.
• Course or internship experience in Distributed Systems, Data Structures, Algorithms, Virtualization, Automation/Scripting, or Container & Cluster Management may be required.
• Course or internship experience in Unix/Shell Scripting, Linux, CUDA, or Machine Learning Operations may be required.
• Course or internship experience in Deep Learning Frameworks (NumPy, SciPy, cuBLAS, cuDNN) or Real-Time Inference (TensorRT) may be required.