Sr. Software Engineer, AI / ML Inference Platform

📋 Description

• Design, build, and improve shared platform capabilities spanning model training, evaluation
• Build and operate shared GPU training infrastructure that provides scientists with reliable
• Improve training-cluster scheduling, workload isolation, capacity management, storage, networking
• Develop production-serving pathways for low-latency, high-throughput, and highly available
• Integrate and adapt model-training frameworks and inference runtimes to meet Dialpad's requirements
• Improve the performance and efficiency of GPU workloads by reasoning across compute, memory

🎯 Requirements

• Production engineering experience: Seven or more years of professional software engineering
• ML systems experience: Experience building or operating systems that support model training, model
• Strong software fundamentals: Proficiency in Python, Go, or another backend-oriented language, with
• Cloud and Kubernetes fluency: Hands-on experience with Linux, containers, Kubernetes, cloud
• Accelerated-computing knowledge: Experience operating GPU workloads and reasoning about
• Training familiarity: Working knowledge of modern model-training workflows, including datasets

🎁 Benefits

• Work at the center of the AI transformation in business communications
• Build and ship agentic AI products that are redefining how companies operate
• Join a team where AI amplifies every employee's impact
• Competitive salary, comprehensive benefits, and real opportunities for growth