Remote CUDA GPU Kernel & Inference Engineer

Anyone Ai Inc.; La Pampa; A distancia; ARS 213.233.000 - 319.849.000; Jornada completa

Descripción de la vacante

Tether is seeking an AI Research Engineer (Kernel & Inference Optimization) to push the boundaries of model serving and inference on resource‑constrained devices. This remote role focuses on scalable architectures, efficient memory usage, and robust evaluation across mobile and edge platforms.

You will own end-to-end optimization strategies, develop cutting-edge inference algorithms, and collaborate with global teams to deliver high‑impact AI capabilities across our digital finance ecosystem.

Formación

• Experience designing and optimizing model serving pipelines.
• Strong background in advanced model architectures.
• Proficiency in low-level kernel optimizations for mobile devices.
• Knowledge of Metal Shading Language (MSL) required.
• PhD in NLP/ML is preferred.

Responsabilidades

• Design and deploy state-of-the-art model serving architectures delivering high throughput and low latency.
• Build, run, and monitor controlled inference tests in simulated and live environments.
• Prepare high-quality test datasets and simulations for low-resource devices.
• Analyze computational efficiency and diagnose bottlenecks in the serving pipeline.
• Collaborate with cross-functional teams to deploy optimized serving frameworks to edge devices.

Conocimientos

Model Serving

Inference Optimization

GPU Kernels

Edge Devices

Mobile Inference

MSL Shader

Educación

Bachelor's in Computer Science

PhD in NLP/ML (preferred)

Herramientas

Metal Shading Language (MSL)

GPU Kernels

Model Serving Frameworks

Descripción del empleo

Tether is seeking an AI Research Engineer (Kernel & Inference Optimization) to push the boundaries of model serving and inference on resource‑constrained devices. This remote role focuses on scalable architectures, efficient memory usage, and robust evaluation across mobile and edge platforms.

You will own end-to-end optimization strategies, develop cutting-edge inference algorithms, and collaborate with global teams to deliver high‑impact AI capabilities across our digital finance ecosystem.