2 месяца назад
Senior AI Infrastructure Engineer (Robotics)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Infrastructure Engineer (Robotics): Building low-latency inference pipelines and distributed systems for on-device robotics with an accent on CUDA/Triton kernel optimization and GPU cluster throughput. Focus on tuning hardware-software interactions to ensure real-time performance and reliability in latency-critical environments.
Location: Must be based in or able to work from Paris or London (Hybrid)
Company
is a technology company focused on advancing robotics through high-performance AI infrastructure.
What you will do
- Build low-latency inference pipelines for on-device deployment to enable real-time control loops in robotics.
- Design and optimize distributed inference systems on GPU clusters to maximize throughput.
- Implement efficient low-level code using CUDA, Triton, and custom kernels.
- Optimize workloads for both throughput and latency through quantization, scheduling, and memory management.
- Develop monitoring and debugging tools to ensure system reliability and rapid diagnosis of regressions.
Requirements
- 8+ years of experience in distributed systems, ML infrastructure, or high-performance serving.
- Production-grade expertise in Python and a strong background in systems languages like C++, Rust, or Go.
- Mastery of low-level performance optimization including CUDA, Triton, and kernel tuning.
- Proven track record of scaling inference workloads in both cluster and on-device environments.
- System-level mindset with experience tuning hardware-software interactions for maximum efficiency.
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