System Performance and Security: Ensuring system reliability, monitoring for bottlenecks, and implementing security protocols (e.g., encryption, authentication) to protect application integrity.
Infrastructure & Performance Optimization: Manage and optimize GPU/accelerator infrastructure (on cloud platforms like AWS, Azure, GCP or on-prem NVIDIA clusters) to support high-performance model training and inference. Drive token efficiency, latency reduction, and cost optimization in AI pipelines (through techniques like model quantization, batching, and caching).
On-site in-person recruitment drive starts from 9 October - 6 November 2026Responsibilities· Research and recommend the best approach to solve a given problem· Take part in the research, design, development, deployment, and monitoring of cross-platform AutoCAD features – bringing a centralized backend perspective to the table· Adopt of best practice and market-standard technologies and methodologies· Collaborate with colleagues both inside and outside of the teamThis internship might be for you if:· You are passionate about software development and technologies· You are comfortable working in newly forming ambiguous areas where learning and adaptability are key skills· You love the exposure to develop scalable cloud service on scalable AWS infrastructure· You are great at communicating your findings both orally and visually· You have strong interpersonal skills and ability to work effectually as a member of team with minimal supervisionMinimum Qualifications· You must be enrolled in a full-time Bachelor's Program in Computer Science or Engineering or other relevant fields
Work within established AI-native engineering workflows, collaborating with AI agents across implementation, testing, debugging, and documentation while validating every output.
Collaborate with the technology lead to respond to internal and external audit requirements, ensuring recommendations related to front-end security, accessibility, and compliance are implemented accordingly.