This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Infrastructure Engineer (Backend/Data Performance) based in the United States.
This role sits at the intersection of high-performance infrastructure engineering and mission-driven AI research, supporting systems that power large-scale animal communication modeling. You will design and optimize the core backend and data infrastructure that enables researchers to process, store, and analyze complex multi-species datasets efficiently and reliably. The work involves building scalable pipelines and distributed systems that directly accelerate AI experimentation and model training. You will focus heavily on performance engineering, improving latency, throughput, GPU utilization, and system reliability across production-grade ML workflows. Partnering closely with researchers, ML engineers, and external collaborators, you will translate experimental needs into robust, scalable infrastructure. The environment is highly collaborative and research-intensive, blending cutting-edge AI development with real-world scientific impact. This is a high-ownership role where your contributions directly shape the speed and effectiveness of breakthrough research.
Based on 1,222 disclosed DevOps salaries on RoleSuite, the role pays a median of $140K/year, with most offers between $115K and $173K (10th–90th percentile: $100K–$208K).
This posting lists $226K–$236K, above the $140K market median.
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