Remote GPU Kernel & Inference Engineer

Anyone Ai Inc.; La Pampa; Remote; ARS 181,747,000 - 272,620,000; Full time

Job summary

Tether is seeking an AI Research Engineer specializing in kernel and inference optimization. You will drive innovation in model serving, develop low-latency inference pipelines, and optimize memory usage across devices from mobile to edge platforms.

You will work on state-of-the-art architectures, design robust benchmarks, and collaborate with a global, remote team to push the boundaries of on-device AI performance.

Qualifications

• Degree in Computer Science or related field.
• PhD in NLP/ML or related field preferred; strong publication record in AI R&D.

Responsibilities

• Design and deploy model serving architectures with high throughput and low latency.
• Build and evaluate inference pipelines across edge and on-device deployments.
• Diagnose bottlenecks in serving pipelines and optimize memory usage.
• Collaborate with cross-functional teams to integrate optimized serving frameworks.
• Develop robust evaluation frameworks for latency, throughput, and memory usage.

Skills

Kernel optimization

Inference optimization

Model serving

GPU kernels

Mobile devices

Metal Shading Language

Low-latency

Edge/on-device deployment

C/C++

Research publications

Education

Bachelor's degree in Computer Science or related

PhD in NLP/ML or related (preferred)

Tools

Metal Shading Language (MSL)

Job description

Tether is seeking an AI Research Engineer specializing in kernel and inference optimization. You will drive innovation in model serving, develop low-latency inference pipelines, and optimize memory usage across devices from mobile to edge platforms.

You will work on state-of-the-art architectures, design robust benchmarks, and collaborate with a global, remote team to push the boundaries of on-device AI performance.