Remote GPU Kernel & Inference Performance Engineer

Anyone Ai Inc.; Neuquén; Remote; ARS 185,819,000 - 294,213,000; Full time

Job summary

Tether is seeking an AI Research Engineer to advance model serving and inference optimization across edge platforms and mobile devices. You will architect efficient pipelines, push performance boundaries, and collaborate with cross-functional teams to deliver scalable AI solutions.

The role emphasizes hands-on research in kernel optimizations, novel serving strategies, and practical deployment for resource-constrained environments while maintaining high throughput and low memory usage.

Qualifications

• A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a track record in AI R&D with publications.

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 environments.
• Identify high-quality test datasets and scenarios for real-world deployment challenges.
• Analyze efficiency and diagnose bottlenecks in serving pipelines for edge deployments.
• Collaborate with cross-functional teams to integrate optimized serving frameworks into production.

Skills

Low-latency inference

Kernel optimization

Mobile GPU

Metal Shading Language

Diffusion Models

NLP/ML fundamentals

Education

PhD in NLP or ML

Degree in Computer Science or related field

Job description

Tether is seeking an AI Research Engineer to advance model serving and inference optimization across edge platforms and mobile devices. You will architect efficient pipelines, push performance boundaries, and collaborate with cross-functional teams to deliver scalable AI solutions.

The role emphasizes hands-on research in kernel optimizations, novel serving strategies, and practical deployment for resource-constrained environments while maintaining high throughput and low memory usage.