AI Engineer

We are looking for an AI Engineer to help build the next generation of AI-for-GPU optimization pipelines, with a focus on automated optimization, AI infrastructure, and edge performance. 

Key Responsibilities Automated Optimization Pipeline Develop and optimize an agentic pipeline for GPU performance tuning. Apply techniques such as syntax-guided synthesis, reinforcement learning, and automated code generation to improve GPU performance. AI Infrastructure Integrate performance-critical GPU components into high-throughput inference engines Optimize latency and performance for Mixture-of-Experts (MoE) architectures and dynamic AI workloads. Edge AI Performance Contribute to continuous pre-training, structural pruning, and architecture optimization for Small Language Models (SLMs). Develop efficient AI solutions for hardware-constrained edge environments.

Requirements Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related discipline. 5 years of relevant experience in GPU optimization Relevant experience in AI/ML engineering   Knowledge of GPU programming, performance optimization, and AI inference systems. Strong analytical and problem-solving skills 

EA Reg No.: R1106634  License No. 22C1076