Cloud Infrastructure Engineer (AI)

Location: Mountain View, United States

Salary: $175K–$280K annually, plus equity

Company

hirify.global develops generalist intelligent robots across the full robotics stack, including hardware, robot systems, AI infrastructure, foundation world models, and manufacturing.

What you will do

• Design, build, and maintain cloud infrastructure for data collection, robot operations, and model training and evaluation.
• Own the reliability, availability, and latency of databases, data warehouses, object storage, and other core infrastructure.
• Develop backend services and APIs for internal teams and customers.
• Identify and resolve performance bottlenecks across data and compute systems.
• Build observability tooling with metrics, logging, and alerting, and participate in on-call rotations, incident response, and postmortems.
• Define infrastructure practices for security, cost management, and scalability while partnering with research and robotics teams.

Requirements

• 4+ years of experience in cloud infrastructure, platform engineering, or a related field.
• Strong proficiency with AWS, GCP, or Azure, including compute, networking, storage, and managed databases.
• Production experience managing relational and NoSQL databases, including performance tuning, replication, and failover.
• Experience with data warehouses, large-scale object storage, and Kubernetes or equivalent container orchestration platforms.
• Backend development experience with Python, Go, or a similar language.
• Strong understanding of distributed systems and the ability to resolve complex production incidents under pressure.

Nice to have

• Infrastructure experience for ML workloads, including GPU clusters, distributed training, or model serving.
• Experience with robotics or embedded-systems backends, real-time telemetry, or command-and-control infrastructure.
• Experience with high-throughput, low-latency data pipelines using Kafka, Flink, or Spark.
• Experience with time-series databases, infrastructure as code using Terraform or Pulumi, multi-tenant infrastructure, or self-service infrastructure platforms.

Culture & Benefits

• Work on infrastructure supporting both physical robot operations and frontier AI model development.
• Own foundational platform decisions with direct impact on reliability and research velocity.
• Join a small team shaping the platform used to scale the company.
• Equity included in the compensation package.