Software Engineer III, Data Platform

Agility Robotics

. Data Ingestion: Design and implement scalable data pipelines for ingesting and processing telemetry, logs and sensor data from our fleet of robots and associated cloud software.

Posted 5/18/2026full-timeRemote • California, Oregon, Pennsylvania • 🇺🇸 United StatesMid-LevelSenior💰 $144,000 - $224,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaKafkaMicroservicesPrometheusPythonScalaSpark

About the role

Key responsibilities & impact

Data Ingestion: Design and implement scalable data pipelines for ingesting and processing telemetry, logs and sensor data from our fleet of robots and associated cloud software.
Multimodal Data Integration: Develop systems to handle complex multimodal logs, ensuring precise synchronization between video, audio, IMU, and joint-state data for downstream analysis and robot 'black box' reconstruction/playback.
Edge Data Agents: Contribute to the development of data ingestion agents running on-robot to manage high-volume data throughput in variable connectivity environments.
Data Optimization: Implement and optimize data formats (e.g., MCAP, Parquet) specifically tuned for the storage and rapid querying of rich multimodal robotics recordings.
Observability systems: Develop and maintain observability systems using tools like fluentbit, OpenTelemetry etc enabling real-time monitoring and analytics of fleet operations.
Distributed Processing: Use Spark, Kafka, or Flink to transform raw robot data into structured datasets ready for business intelligence and long-horizon fleet analytics.
Stakeholder Collaboration: Work closely with AI and Hardware teams to ensure data tools meet the needs of those training the next generation of humanoid models.
Cloud Platform: Build and optimize tools for internal stakeholders for business intelligence and long-horizon fleet analytics and forecasting using existing tools like AWS S3, Athena, Sagemaker etc.

Requirements

What you’ll need

3-5 years of experience building and scaling cloud-based data platforms (AWS, GCP, or Azure).
Big Data Tech: Proficient in big data frameworks like Spark, Kafka, Beam, Flink etc.
Data Formats: Familiarity with OSS data formats like Parquet, Arrow, Iceberg and protocols like Avro and Protobuf.
Experience with observability tools (e.g. OpenTelemetry, Prometheus etc) and implementing metrics, tracing and logging systems.
Strong proficiency in Python and at least one JVM language (Java or Scala), with experience in microservices.
Proven experience handling diverse data types—specifically combining unstructured data (logs/video) with structured telemetry.

Benefits

Comp & perks

401(k) Plan: Includes a 6% company match.
Equity: Company stock options.
Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
Benefit Start Date: Eligible for benefits on your first day of employment.
Well-Being Support: Employee Assistance Program (EAP).
Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually.
On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
Parental Leave: Generous paid parental leave programs.
Work Environment: A culture that supports flexible work arrangements.
Growth Opportunities: Professional development and tuition reimbursement programs.
Relocation Assistance: Provided for eligible roles.
Annual Discretionary Bonus: Provided for eligible roles.

ATS Keywords

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Hard Skills & Tools

data ingestiondata pipelinesmultimodal data integrationdata optimizationdistributed processingPythonJavaScalabig data frameworksmicroservices

Soft Skills

stakeholder collaboration