Staff Software Engineer, Data Platform

Agility Robotics

Staff Software Engineer building cloud data platforms for Agility Robotics’ commercially deployed humanoid robots. Designing ingestion, observability, big-data, IoT, and fleet-analytics systems at scale.

Posted 8/14/2026full-timeRemote • California, Oregon, Pennsylvania • 🇺🇸 United StatesLead💰 $191,000 - $299,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data pipelines and cloud-based data platforms, with proficiency in big data frameworks and observability tools. Leverages IoT and robotics experience to enhance data collection and processing from sensor-heavy environments.

Highest-signal resume keywords

Cloud-Based Data PlatformsBig Data FrameworksObservability ToolsData Ingestion AgentsIoT Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaScalaPythonSparkKafkaBeamFlinkParquetAvroProtobuf

Tools & Technologies

AWSGCPAzureOpenTelemetryFluent BitPrometheusDatabricksKubernetesS3Athena

Industry Keywords

RoboticsAutonomous VehiclesSensor DataEdge ComputingEmbedded Devices

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformIoTJavaKafkaKubernetesMicroservicesPrometheusPythonRustScalaSparkUnity

About the role

Key responsibilities & impact

Design and implement scalable data pipelines for ingesting and processing telemetry, logs, and sensor data from the robot fleet and associated cloud software
Develop and maintain data ingestion agents running directly on robot software for high-volume data ingestion in low-connectivity environments
Maintain and develop data formats and protocols optimized for transmission, storage, and querying of data recordings, sensor data, and telemetry
Develop and maintain observability systems using tools such as Fluent Bit and OpenTelemetry for real-time monitoring and analytics of fleet operations
Implement solutions to prepare high-volume, high-velocity data for analysis using technologies such as Spark and Kafka
Build and optimize tools for internal stakeholders for business intelligence, long-horizon fleet analytics, and forecasting using AWS S3, Athena, and SageMaker
Leverage IoT experience to improve data collection and processing pipelines from robot sensors and edge devices
Contribute to improving robot performance, operational insights, and scaling cloud-based systems

Requirements

What you’ll need

5+ years of experience building and scaling cloud-based data platforms
Familiarity with cloud providers such as AWS, GCP, or Azure
Proficiency in big data frameworks such as Spark, Kafka, Beam, or Flink
Familiarity with OSS data formats such as Parquet, Arrow, and Iceberg
Familiarity with data protocols such as Avro and Protobuf
Experience with observability tools such as OpenTelemetry and Prometheus
Experience implementing metrics, tracing, and logging systems
Proficiency in Java, Scala (any JVM), or Python
Solid understanding of distributed systems and microservices architectures
Current authorization to work in the United States
Robotics, autonomous vehicles, or sensor-heavy workload experience strongly preferred
Knowledge of IoT systems, edge computing, or embedded devices nice-to-have
Data catalog experience with DataHub, Amundsen, or Databricks Unity Catalog
Experience with Databricks, Kubernetes, Bazel/Blaze or other build systems, C++, Rust, and robot data formats such as MCAP or ROS are bonus qualifications

Benefits

Comp & perks

401(k) Plan with a 6% company match
Company stock options
100% company-paid medical, dental, vision, and short/long-term disability insurance for employees
Benefits eligibility on the first day of employment
Employee Assistance Program (EAP)
Flexible, unlimited PTO and 12 company holidays, including a winter shutdown, for exempt employees
10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually, for non-exempt employees
Catered lunches four times a week and healthy snacks and refreshments at Salem and Pittsburgh locations
Generous paid parental leave programs
Flexible work arrangements
Professional development and tuition reimbursement programs
Relocation assistance for eligible roles
Annual discretionary bonus for eligible roles