Staff Software Engineer, Data Platform

Agility Robotics; Salem, Pittsburgh, Fremont (OR, Allegheny County, CA); Hybrid; CAD 270,000 - 423,000; Full time

Benefits offered by this job

401(k) Plan

Equity

Medical insurance

Dental insurance

Vision insurance

Discretionary bonus

Relocation assistance

Tuition reimbursement

Flexible work arrangements

Catered lunches

Job summary

Agility Robotics is seeking a Staff Software Engineer to join the Data Platform team. You will design, develop, and maintain infrastructure enabling ingestion, processing, discovery, serving, and analysis of massive datasets generated by our humanoid robots.

You’ll impact robot performance, operational insights, and scalable cloud systems. The role emphasizes data ingestion pipelines, onboard robot data agents, and observability, with a strong focus on Spark, Kafka, and cloud-native tools (AWS

Qualifications

• 5+ years building and scaling cloud-based data platforms
• Proficient in Spark, Kafka, Beam, Flink
• Familiar with Parquet, Arrow, Iceberg and protocols like Avro/Protobuf
• Experience with observability tools and metrics/logging/tracing
• Proficiency in Java/Scala or Python; strong distributed systems knowledge
• Bonus: robotics/IoT data, Databricks, Kubernetes, Bazel, C++/Rust

Responsibilities

• Design scalable data ingestion pipelines for telemetry, logs and sensor data
• Develop data ingestion agents on robot software for low-connectivity environments
• Maintain data formats and protocols for transmission, storage and query
• Build observability systems for real-time fleet monitoring and analytics
• Implement big data processing for high-volume data using Spark, Kafka or equivalents
• Build cloud tools for BI and long-horizon fleet analytics using AWS services
• Leverage IoT expertise to improve pipelines from robot sensors and edge devices

Skills

Cloud platforms (AWS, GCP, Azure)

Big data frameworks (Spark, Kafka)

Data formats (Parquet, Arrow, Iceberg)

Observability tools (OpenTelemetry, 2)

Java/Scala/Python (JVM)

Distributed systems & microservices

Kubernetes

Tools

Databricks

Kafka Connect

Spark

Bazel/Blaze

ROS / robotics data formats (mcap)

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

About The Role

Join the cutting-edge team building the data platform that powers fleet-scale humanoid robotics. As a Staff Software Engineer on our Data Platform team, you will play a pivotal role in designing, developing, and maintaining the infrastructure that enables efficient ingestion, processing, discovery, serving, and analysis of massive datasets generated by our robots. Your work will directly contribute to improving robot performance, operational insights, and scaling our cloud-based systems.

Key Responsibilities

• 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
• Data Agents: Develop and maintain data ingestion agents running directly on robot software to ingest high volume data in low connectivity environments.
• Data Formats: Maintain and develop data formats and protocols optimized for transmission, storage and query of data recordings, sensor data and telemetry.
• Observability systems: Develop and maintain observability systems using tools like fluentbit, OpenTelemetry etc enabling real-time monitoring and analytics of fleet operations.
• Big Data Processing: Implement solutions to prepare high volume, high velocity data for analysis using technologies such as Spark, Kafka or equivalent
• 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.
• IoT integration: Leverage IoT experience to improve data collection and processing pipelines from robot sensors and edge devices.

Required Qualifications

• 5+ years of strong experience in building and scaling cloud-based data platforms with familiarity in cloud providers like AWS, GCP or Azure.
• Proficient in big data frameworks like Spark, Kafka, Beam, Flink etc
• 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
• Proficiency in languages like Java, Scala (any JVM), or Python and a solid understanding of distributed systems and microservices architectures.

Bonus Qualifications

• Experience with Robotics, Autonomous Vehicles, or other sensor heavy workloads will be strongly preferred.
• Knowledge of IoT systems, edge computing or working with embedded devices is nice-to-have.
• Data catalog experience (Datahub, Amundsen, Databricks Unity Catalog)
• Experience with Databricks
• Experience with Kubernetes
• Experience with Bazel/Blaze or other build systems
• Experience with C++, Rust
• Experience with robot data formats like mcap, ROS etc and data playback and visualization tooling like Rerun etc.

This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Anticipated Base Salary Range

$191,000—$299,000 USD

In addition to base pay, our competitive total rewards package consists of the following for full-time employees:

• 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 12 company holidays, including a winter shutdown.
  • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 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.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.

Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.

Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.