Rhoda AI
Senior/Staff Cloud Infrastructure Engineer
Mountain View · Staff+
Sponsorship not specifiedDetected 98 days ago
PythonGoDistributed SystemsBackend DevelopmentNoSQLBigQuerySnowflakeRedshiftAWSGCPAzureCloud PlatformsKubernetesTerraformPlatform EngineeringKafkaMachine LearningSparkData EngineeringIncident ResponseEmbedded SystemsRoboticsHardware DesignResearch
About the role
- We've raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.
Responsibilities
- Design, build, and maintain cloud infrastructure supporting data collection pipelines, robot operations, and model training and evaluation workflows
- Own the reliability, availability, and latency of core infrastructure including databases, data warehouses, and object storage systems
- Partner with research teams to understand model training and evaluation infrastructure needs and translate them into scalable solutions
- Collaborate with robotics teams to ensure field operations are reliably supported by low-latency backend services
- Build observability tooling - metrics, logging, alerting - to proactively detect and respond to infrastructure issues
Requirements
- 4+ years of experience in cloud infrastructure, platform engineering, or a related role
- Strong proficiency with at least one major cloud provider (AWS, GCP, or Azure), including compute, networking, storage, and managed database services
- Hands-on experience managing relational and NoSQL databases in production, including performance tuning, replication, and failover
- Experience operating data warehouse solutions (e.g., BigQuery, Redshift, Snowflake) and large-scale object storage (e.g., S3, GCS)
- Strong understanding of distributed systems concepts: consistency, availability, fault tolerance, and latency trade-offs
Nice to have
- Familiarity with container orchestration using Kubernetes or equivalent platforms
- Proven ability to debug and resolve complex production incidents under pressure
- Familiarity with robotics or embedded systems backends, including real-time telemetry or command-and-control infrastructure
- Experience designing and operating high-throughput, low-latency data pipelines using tools like Kafka, Flink, or Spark
- Background working with time-series databases (e.g., InfluxDB, TimescaleDB) for sensor or operational data
- Experience with infrastructure-as-code tools such as Terraform or Pulumi
- Foundational role on a small team where your architectural decisions shape the platform the entire company scales on
- Nice to Have (But Not Required)
Company info
- Develop and maintain backend services and APIs that expose infrastructure capabilities to internal teams and customers
- What We're Looking For
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This listing is sourced directly from Rhoda AI's careers page and normalized into a canonical job model.