Senior AI Systems Engineer (Inference)

Location: Redwood City, CA (Hybrid)

Company

hirify.global is building unified general intelligence capable of generating, understanding, and operating in the physical world through multimodal AI.

What you will do

• Integrate new model architectures into the inference engine.
• Scale deployments across thousands of machines and optimize GPU utilization.
• Build internal tooling to measure, profile, and track inference jobs.
• Automate, test, and maintain inference services for maximum uptime.
• Collaborate with research and infrastructure teams to optimize model efficiency.
• Develop scheduling systems to manage workloads across clusters and hardware providers.

Requirements

• Strong Python and system-architecture skills.
• Experience deploying models with PyTorch, Hugging Face, vLLM, SGLang, or TensorRT-LLM.
• Experience with queues, scheduling, traffic control, and fleet management at scale.
• Proficiency with Linux, Docker, and Kubernetes.
• Familiarity with Redis and S3-compatible storage.
• Must be able to work in a hybrid capacity in Redwood City, CA.

Nice to have

• Experience with modern networking stacks including RDMA (RoCE, InfiniBand, NVLink).
• Background in high-performance large-scale ML systems (100+ GPUs).
• Knowledge of CUDA, FFmpeg, or multimedia processing.

Culture & Benefits

• Opportunity to work on cutting-edge multimodal AI and general intelligence.
• Collaborative environment spanning research, engineering, and infrastructure.
• Focus on high-scale systems and complex infrastructure challenges.