Senior AI Systems Engineer (Aerospace)

TL;DR

Senior AI Systems Engineer (Aerospace): Architecting and managing critical infrastructure for large-scale AI model training and inference with an accent on high-performance computing and cloud-native orchestration. Focus on optimizing hardware utilization, streamlining MLOps lifecycles, and solving complex performance bottlenecks at the hardware-software interface for electric aircraft systems.

Location: Must be based in San Jose, California, United States

Salary: $160,000 - $180,000

Company

An aerospace company building all-electric vertical takeoff and landing aircraft to advance sustainable air mobility.

What you will do

• Deploy and manage resilient infrastructure services for distributed AI model training and low-latency inference.
• Maintain end-to-end MLOps tooling including experiment tracking and model registries.
• Optimize compute scheduling and hardware utilization across multi-cloud environments.
• Partner with AI resehirify.globals to productionize models and establish robust monitoring systems.
• Debug complex performance bottlenecks at the hardware-software interface.

Requirements

• Must be authorized to work in the US; no visa sponsorship available.
• BS/MS/PhD in Computer Science, Software Engineering, or related field.
• 3+ years of professional experience in AI/ML systems, HPC, or ML infrastructure.
• Hands-on experience with Kubernetes, Docker, and cloud-agnostic cluster abstractors like SkyPilot.
• Deep understanding of LLM serving architectures using frameworks like vLLM or SGLang.
• Proficiency in building high-throughput data pipelines using SQL, NoSQL, and Parquet.

Nice to have

• Experience with audio processing, speech-to-text, or ASR pipelines.
• Technical interest or experience in aerospace, aviation, or autonomous systems.

Culture & Benefits

• Pay-for-performance culture focused on rewarding business strategy impact.
• Commitment to an equitable and inclusive workplace environment.
• Opportunity to work on cutting-edge sustainable aerospace technology.