Senior AI Systems Engineer: Multi-Cloud ML Ops

AlleyCorp; San Jose (CA); On-site; USD 144,000 - 180,000; Full time

Job summary

Archer Aviation in San Jose seeks a Senior AI Systems Engineer to architect, deploy, and manage the critical infrastructure for large-scale AI model training and inference, ensuring robust, low-latency performance.

You will work with researchers and software engineers to productionize models, optimize compute, and implement monitoring across multi-cloud environments. The role carries a base pay of $144k-$180k, with compensation determined by experience.

Qualifications

• BS/MS/PhD in Computer Science or related field.
• 3+ years in software engineering focused on AI/ML systems, HPC, or ML infra.
• Experience with multi-cloud compute management (AWS) and AI-centric clouds.
• Hands-on with Docker and Kubernetes; SkyPilot for multi-region GPU.
• Deep understanding of LLM serving and infra using vLLM and SGLang.
• Data engineering for AI: building high-throughput pipelines; SQL/NoSQL/Parquet.

Responsibilities

• Architect, deploy, and manage infrastructure for large-scale AI training and inference.
• Deploy, scale, and manage resilient services for distributed AI workloads.
• Bridge data, ML research, and software engineering to productionize models.
• Monitor performance bottlenecks at the hardware-software interface.

Skills

AI/ML systems

HPC

Compute orchestration

Data pipelines

Cross-functional collaboration

Education

BS/MS/PhD in CS or related

Tools

Docker

Kubernetes

SkyPilot

AWS

Nebius AI Cloud

vLLM

SGLang

Parquet

Job description

Archer Aviation in San Jose seeks a Senior AI Systems Engineer to architect, deploy, and manage the critical infrastructure for large-scale AI model training and inference, ensuring robust, low-latency performance.

You will work with researchers and software engineers to productionize models, optimize compute, and implement monitoring across multi-cloud environments. The role carries a base pay of $144k-$180k, with compensation determined by experience.