Senior AI Systems Engineer

Join our team as a Senior AI Systems Engineer, where you will architect, deploy, and manage the critical infrastructure services required for large-scale AI model training and inference. You will work closely with AI researchers and software engineers to productionize cutting-edge models and establish monitoring systems. The ideal candidate will have a strong background in AI/ML systems, high-performance computing, and cloud-native orchestration.

• Architect, deploy, and manage critical infrastructure services for large-scale AI model training and inference.
• Utilize and maintain end-to-end tooling to streamline and optimize the AI development lifecycle.
• Partner closely with AI researchers and Software Engineers to productionize cutting-edge models and establish monitoring systems.
• Data Engineering for AI: Experience building high-throughput data pipelines to support large-scale training, including proficiency in SQL, NoSQL, and columnar storage formats optimized for ML (e.g., Parquet)
• LLM Serving Optimization: Deep architectural understanding of large language models and the system infrastructure required to serve them at scale using frameworks like vLLM and SGLang
• Multi-Cloud & Compute Management: Familiarity with hyper-scaler infrastructure (AWS) alongside specialized AI-centric bare-metal and GPU clouds (Nebius AI Cloud)
• Cloud-Native Orchestration & Abstraction: Hands-on experience with containerization (Docker) and production-grade orchestration (Kubernetes), paired with cloud-agnostic cluster abstractors like SkyPilot to manage multi-region GPU availability
• Education: BS/MS/PhD degree in Computer Science, Software Engineering, or a related field
• Experience: 3+ years of professional software engineering experience with a dedicated focus on AI/ML systems, high-performance computing (HPC), or ML infrastructure
• Familiarity with audio processing, speech-to-text frameworks, or Automatic Speech Recognition (ASR) pipelines
• Prior experience or a deep technical interest in aerospace, aviation, or autonomous systems (e.g., safety-critical software, edge-AI deployments)