Software Engineer, AI Infra

About the Role We are looking for a Staff/Lead Software Engineer, AI Infrastructure, to play a critical role in building and scaling the core infrastructure that powers Pika’s AI capabilities. In this position, you will lead the design and implementation of GPU infrastructure, AI model serving APIs, and general AI infrastructure execution—enabling cutting-edge machine learning features that drive our products. You will be responsible for architecting robust, distributed systems optimized for high-performance AI workloads, large-scale GPU orchestration, and low-latency, reliable API serving. Your work will directly impact the way users experience and interact with generative AI at scale. As a senior technical leader, you’ll also mentor engineers, drive best practices, and set the technical vision for AI infrastructure at Pika. What You’ll Do - Design, develop, and maintain scalable GPU infrastructure for training and serving state-of-the-art AI models - Architect and optimize high-throughput, low-latency APIs for AI model serving and inference - Lead the orchestration, scheduling, and efficient utilization of heterogeneous GPU resources across clusters - Build and support robust systems for model deployment, monitoring, scaling, and reliability in production environments - Collaborate with ML, backend, and platform engineering teams to deliver seamless AI-powered product features - Drive technical direction, code reviews, and mentorship across the AI Infrastructure team What We’re Looking For - Strong experience (5+ years) as a software engineer working on systems infrastructure, including hands-on work with ML serving and GPU orchestration - Deep knowledge of distributed systems, Kubernetes (or similar orchestration frameworks), and cloud-native infrastructure (AWS/GCP/Azure) - Proven expertise in building and optimizing APIs for large-scale AI model serving (TensorFlow Serving, Triton, TorchServe, or similar) - Familiarity