Research Support Engineer - Remote

Overview

The Research Support Engineer plays a critical role in supporting machine learning and high-performance computing workloads, essential for processing massive datasets and delivering customer-focused solutions.

In Short

• Support and debug AI applications for internal researchers.
• Deploy machine learning and HPC workloads in production.
• Develop validation plans and benchmarks for evaluating hardware systems.
• Profile and optimize test-time compute for ML workloads.
• Utilize deep learning frameworks like PyTorch, JAX, and Tensorflow.
• Implement GPU programming and distributed computing algorithms.
• Collaborate with researchers on benchmarking and validation scripts.
• TS/SCI clearance with a polygraph is required.
• Master's degree in a relevant field is necessary.
• Experience with profiling hardware systems is a plus.

Requirements

• Experience in supporting AI applications.
• Knowledge of ML frameworks and compiler tooling.
• Ability to deploy test plans effectively.
• Experience with GPU-based HPCs.
• Strong problem-solving skills.
• Ability to work collaboratively with researchers.
• Clearance eligibility for classified information.
• Master's degree in Computer Science, AI, Physics, or Applied Mathematics.
• Experience with diverse hardware systems is advantageous.
• Understanding of T&E for deep learning software stacks.

Benefits

• Comprehensive health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave and professional development opportunities.
• Tuition assistance and work-life programs.
• Recognition awards for exceptional performance.