Engineering Manager, Deep Learning Inference (San José de la Rinconada)

Engineering Manager, Deep Learning Inference (San José de la Rinconada)

13 sep
|
NVIDIA
|
San José de la Rinconada

13 sep

NVIDIA

San José de la Rinconada

NVIDIA is seeking an exceptional Manager, Deep Learning Inference Software, to lead a world-class engineering team advancing the state of AI model deployment. You will shape the software powering today’s most sophisticated AI systems — from large language models to multimodal generative AI — all accelerated on NVIDIA GPUs. The Deep Learning Inference team develops and optimizes open-source frameworks that make AI deployment scalable, efficient, and accessible — including SGLang, vLLM, and FlashInfer. Our work enables developers worldwide to harness NVIDIA accelerators for real-time inference at every scale, from datacenter clusters to edge devices.

What you'll be doing:

Lead, mentor, and scale a high-performing engineering team focused on deep learning inference and GPU-accelerated software.

Guide the strategy, roadmap, and execution of NVIDIA's OSS inference frameworks engineering.

Partner with internal compiler, libraries, and research teams to deliver end-to-end optimized inference pipelines across NVIDIA accelerators.

Oversee performance tuning, profiling,



and optimization of large-scale models for LLM, multimodal, and generative AI applications.

Guide engineers in adopting best practices for CUDA, Triton, CUTLASS, and multi-GPU communications (NIXL, NCCL, NVSHMEM).

Represent the team in roadmap and planning discussions, ensuring alignment with NVIDIA’s broader AI and software strategies.

Foster a culture of technical excellence, open collaboration, and continuous innovation.

What we need to see:

MS, PhD, or equivalent experience in Computer Science, Electrical/Computer Engineering, or a related field.

6+ overall years of software development experience, including 3+ years in technical leadership or engineering management.

Strong background in C/C++ software design and development; proficiency in Python is a plus.

Hands-on experience with GPU programming (CUDA, Triton, CUTLASS) and performance optimization.

Proven record of deploying or optimizing

📌 Engineering Manager, Deep Learning Inference (San José de la Rinconada)
🏢 NVIDIA
📍 San José de la Rinconada

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