Senior Software Engineer

Responsibilities

• Develop a multi-environment compute platform for workload scheduling, resource allocation, and node lifecycle
• Collaborate with customers and internal teams to translate compute needs into platform features
• Solve distributed systems challenges including GPU scheduling, autoscaling, and resource efficiency
• Ensure high reliability and scalability for production simulation systems
• Drive architecture decisions to expand simulation orchestration into a company-wide compute platform

Requirements

• 5+ years of backend engineering experience owning production distributed systems
• 4+ years of coding in Golang, Python, Java, or C++
• 4+ years building complex backend systems on major cloud providers
• Deep Kubernetes expertise including pod scheduling, node lifecycle, and autoscaling
• Experience building or operating workload scheduling systems
• Self-starter experience driving production system development from 0 to 1

Preferred Qualifications

• Experience scheduling GPU workloads or managing GPU capacity at scale
• Multi-cloud (AWS, OCI, GCP, Azure) or on-prem Kubernetes deployments
• Experience managing multi-cluster environments using Infrastructure as Code
• Experience building custom Kubernetes controllers or operators
• Experience with cloud cost optimization strategies

About the Company

Applied Intuition is powering the future of physical AI, creating the digital infrastructure needed to bring intelligence to every moving machine on the planet, servicing automotive, defense, trucking, construction, mining, and agriculture industries.