Performance Optimization Engineer for AI Infrastructure

Fireworks AI; San Mateo (CA); Sur place; USD 180 000 - 260 000; Plein temps

Résumé du poste

Fireworks AI is seeking a Software Engineer focused on Performance Optimization to push the speed and efficiency of our AI infrastructure. You will own optimizations from GPU kernels to large-scale distributed systems, targeting LLMs, VLMs, and video models.

You’ll collaborate with researchers to tune architectures for hardware efficiency, improve memory and compute utilization, and help scale production-grade AI workloads across multi-GPU environments.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.
• 5+ years of experience working on performance optimization or high-performance computing systems.
• Proficiency in CUDA or ROCm and experience with GPU profiling tools (e.g., Nsight, nvprof, CUPTI).
• Familiarity with PyTorch and performance-critical model execution.
• Experience with distributed system debugging and optimization in multi-GPU environments.
• Deep understanding of GPU architecture, parallel programming models, and compute kernels.

Responsabilités

• Optimize system and GPU performance for high-throughput AI workloads across training and inference.
• Analyze and improve latency, throughput, memory usage, and compute efficiency.
• Profile system performance to detect and resolve GPU- and kernel-level bottlenecks.
• Implement low-level optimizations using CUDA, Triton, and other performance tooling.
• Drive improvements in execution speed and resource utilization for large-scale model workloads (LLMs, VLMs, and video models).
• Collaborate with ML researchers to co-design and tune model architectures for hardware efficiency.
• Improve support for mixed precision, quantization, and model graph optimization.
• Build and maintain performance benchmarking and monitoring infrastructure.
• Scale inference and training systems across multi-GPU, multi-node environments.
• Evaluate and integrate optimizations for emerging hardware accelerators and specialized runtimes.

Connaissances

CUDA

Profiling

PyTorch

Distributed systems

GPU architecture

Formation

Bachelor's degree in CS/CE/EE

Outils

Nsight

nvprof

CUPTI

Triton

Description du poste

Fireworks AI is seeking a Software Engineer focused on Performance Optimization to push the speed and efficiency of our AI infrastructure. You will own optimizations from GPU kernels to large-scale distributed systems, targeting LLMs, VLMs, and video models.

You’ll collaborate with researchers to tune architectures for hardware efficiency, improve memory and compute utilization, and help scale production-grade AI workloads across multi-GPU environments.