Staff AI Systems Engineer

Sourced from scoutify.com

Archer is seeking a Staff AI Systems Engineer to architect and operate the infrastructure behind large-scale AI model training and low-latency inference. The role spans distributed training, MLOps tooling, multi-cloud GPU compute scheduling, and LLM serving optimization. You will partner with AI researchers and software engineers to productionize cutting-edge models in a next-gen aerospace environment.

• Deploy, scale, and manage resilient infrastructure for distributed AI training and low-latency inference
• Maintain end-to-end MLOps tooling such as MLflow for experiment tracking and model registry
• Optimize compute and inference using LLM serving engines and multi-cloud GPU scheduling
• Partner with AI researchers and engineers to productionize models and establish monitoring
• Debug complex performance bottlenecks at the hardware-software interface

• BS/MS/PhD in Computer Science, Software Engineering, or related field
• 5+ years of software engineering experience focused on AI/ML systems, HPC, or ML infrastructure
• Experience with AWS and AI-centric GPU clouds
• Hands-on with Docker, Kubernetes, and cluster abstractors like SkyPilot
• Deep understanding of LLM serving with frameworks like vLLM and SGLang
• Experience building high-throughput data pipelines with SQL, NoSQL, and Parquet

• Audio processing, speech-to-text, or ASR pipelines
• Experience in aerospace, aviation, or autonomous systems
• Safety-critical software or edge-AI deployments