Remote AI Inference Kernel Engineer for Edge & Mobile

Tuxcare Inc.; La Pampa; Remote; ARS 185,448,000 - 278,173,000; Full time

Job summary

Tether invites an AI Research Engineer to drive innovation in model serving and inference optimization across diverse platforms, from edge devices to mobile environments. You will design scalable pipelines, optimize memory and latency, and push the boundaries of real-time AI inference for global deployments.

The role emphasizes hands-on, research-driven development with rigorous benchmarking and cross-functional collaboration to deliver efficient, production-ready solutions on

Qualifications

• Proven experience in low-level kernel optimizations and inference optimization on mobile devices.
• Expertise in designing and optimizing model serving pipelines and inference frameworks.
• Strong background in advanced model architectures and performance benchmarking.
• Experience deploying and evaluating AI models in resource-constrained environments.

Responsibilities

• 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 production environments.
• Identify and prepare high-quality test datasets and simulation scenarios for real-world deployment on low-resource devices.
• Analyze computational efficiency and diagnose bottlenecks in the serving pipeline.
• Work with cross-functional teams to integrate optimized serving frameworks into production pipelines for edge and on-device applications.

Skills

Model serving

Inference optimization

Low-latency systems

Edge device optimization

Distributed inference

Kernel optimizations

Education

PhD in NLP/ML (preferred)

Degree in Computer Science or related field

Tools

Metal Shading Language (MSL)

Custom compute shaders

GPU kernels

Job description

Tether invites an AI Research Engineer to drive innovation in model serving and inference optimization across diverse platforms, from edge devices to mobile environments. You will design scalable pipelines, optimize memory and latency, and push the boundaries of real-time AI inference for global deployments.

The role emphasizes hands-on, research-driven development with rigorous benchmarking and cross-functional collaboration to deliver efficient, production-ready solutions on