
Staff Software Engineer, AI Inference
Posted Jul 29

Posted Jul 29
This is a fully remote position, open to applicants in United States.
• Oversee the design and development of our production inference platform.
• Establish the technical roadmap for inference infrastructure, model serving, and runtime optimization.
• Create and manage scalable, cost-efficient systems for deploying large language models in a production environment.
• Assess and incorporate contemporary inference technologies, frameworks, and serving runtimes.
• Enhance latency, throughput, GPU utilization, memory efficiency, and overall infrastructure costs.
• Construct systems for model deployment, traffic management, autoscaling, scheduling, observability, and operational excellence.
• Collaborate with ML engineers to transition new models and inference techniques into production.
• Develop benchmarking methodologies to assess new models, runtimes, and hardware.
• Make critical architectural decisions regarding when to develop internally versus utilizing open-source or commercial solutions.
• Guide engineers as the team expands and assist in establishing engineering best practices for AI infrastructure.
• Extensive experience in designing and managing production AI inference systems.
• Background in building or leading production LLM serving infrastructure.
• In-depth experience with one or more modern inference runtimes and frameworks such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, Hugging Face TGI, NVIDIA Dynamo, or similar technologies.
• Strong expertise in distributed systems, backend infrastructure, or high-performance platform engineering.
• Experience in optimizing inference performance across GPU workloads, focusing on latency, throughput, batching, memory utilization, and serving efficiency.
• Proficient in operating GPU infrastructure in a production setting.
• High proficiency in Python and at least one systems programming language (such as Go, Rust, or C++).
• Demonstrated ability to lead technical architecture for complex infrastructure projects.
• Exceptional communication skills with the capability to influence technical direction across engineering teams.
• Health insurance
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