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Senior Software Engineer
Not specifiedFull-timeSoftware DevelopmentSemiconductorsEnterprise Software
Build distributed systems for an AI operations platform that monitors GPU clusters, processes telemetry, and serves predictive models across SaaS and on-premises deployments.
Responsibilities
- Design and build systems that monitor GPU fleet health, correlate telemetry, generate alerts, and support diagnostic and corrective workflows
- Evaluate data storage strategies and representations to support high-quality data for predictive models
- Develop distributed systems for high-volume telemetry ingestion, processing, and real-time analysis
- Instrument services with metrics, logs, and traces, and improve performance and debuggability
- Build and maintain infrastructure for packaging, versioning, deploying, and monitoring predictive models in SaaS and on-premises environments
- Develop shared libraries and abstractions for the engineering team
Requirements
- Bachelor’s or master’s degree in computer science, computer engineering, or a related technical field
- At least 8 years of software engineering experience building production distributed systems
- Expertise in Go, C++, or Rust, including high-performance concurrent architectures
- Understanding of Kubernetes and containerized production deployments
- Experience deploying, monitoring, and maintaining machine learning models or data-intensive services in production
Nice to have
- Experience building model-serving platforms or MLOps tools such as model registries, A/B rollout frameworks, or feature stores
- Experience taking systems from prototype to production platforms serving enterprise customers
- Ability to develop tools and frameworks that help engineering teams work more efficiently
Benefits
- Competitive salary and benefits package