Atlas Controls Reliability, Senior Data Engineer

Boston Dynamics, Inc.; Waltham (MA); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k)

Paid time off

Annual bonus

Job summary

Boston Dynamics, Inc. is seeking a Controls Reliability Engineer to architect failure analysis data pipelines for a large Atlas fleet. You will improve data quality by aggregating telemetry, diagnostics, and operational metadata, while developing automated health-monitoring tools and scalable diagnostic suites.

You will collaborate with hardware and software teams, translate complex data into structured reports, and work onsite at the Waltham facility to directly support robotics operations.

Qualifications

• Bachelor’s degree in Robotics, ME/EE, CS, Data Science, or related field.
• At least 1 year of professional robotics, hardware reliability (SRE), data engineering, or high-level technical support for electromechanical systems.
• Proven experience building and debugging complex systems using analytics, telemetry logs, and diagnostic tools.
• Proficiency in Python and SQL for system analysis and tool development.
• Experience with data warehousing and visualization tools such as Snowflake and Looker.
• Familiarity with C++ in real-time embedded systems or robotics.
• Ability to work onsite at our Waltham facility for direct interaction with teams and robots.
• Nice to have Jira/Jira Automation experience for project management and reporting.
• Experience with Bazel, Google Test infrastructure, Google Cloud Platform and Apache Airflow.
• Understanding of controls theory, motors, and embedded systems; RL or datasets experience is a plus.

Responsibilities

• Relentlessly improve data-quality by combining high-rate telemetry, diagnostics, and metadata into a robust Failure Analysis pipeline.
• Develop automated diagnostic tools to transition from manual troubleshooting to proactive health monitoring.
• Maintain automated diagnostic suites and off-robot systems to provide actionable feedback for hardware and software teams.
• Partner with stakeholders to understand requirements and improve reporting mechanisms.

Skills

Python

SQL

Data pipelines

Diagnostics tooling

Education

Bachelor’s degree in Robotics

ME/EE/CS/Data Science or related field

Tools

Snowflake

Looker

Jira

Bazel

Google Cloud Platform

Airflow

Google Test

Job description

The Mission Boston Dynamics is scaling the Atlas humanoid fleet to push the limits of generalist robotics. As we transition to a large-scale fleet, the Controls Reliability Team serves as a Technical Force Multiplier. In this role, you will be an architect for mission-critical failure analysis data pipelines.

What You’ll Do

• Relentlessly Improve Data-quality: Combine high-rate robot telemetry data, fleet-wide diagnostics, and operational metadata, into a robust pipeline for Failure Analysis.
• Software & Tooling Development: Develop automated diagnostic tools to transition the fleet from manual troubleshooting to proactive, automated health monitoring.
• Scalable Diagnostics: Maintain automated diagnostic suites, and other off-robot systems, to provide actionable feedback for hardware and software teams.
• Cross-functional Reporting: Partner with stakeholders, from all levels of the organization, to understand requirements and improve reporting mechanisms.

Who You Are

• Technical Expert: Proficient in Python and SQL, with experience building multi-source pipelines, diagnostic utilities, and automated analysis tools.
• Data Driven: You naturally reach for the data to answer questions or derive new insights. Additionally, you rigorously compare the data to the ground truth.
• Clear Communicator: You excel at translating technical \"noise\" into structured reports and procedures for diverse engineering and operational partners.
• Technically Fearless: You are motivated by solving ambiguous problems and building novel solutions, across the entire failure reporting and analysis pipeline. Additionally, you are excited by learning about, debugging, and resolving failure modes in the Atlas controls domain.

Minimum Qualifications

• Bachelor’s degree in Robotics, ME/EE, Computer Science, Data Science, or a related field.
• At least one year of professional experience in robotics, hardware reliability (SRE), data engineering, or high-level technical support for electromechanical systems.
• Proven experience building and debugging complex systems, using analytics, telemetry logs, and diagnostic tools.
• Proficiency in Python and SQL for system analysis and tool development.
• Experience with data warehousing and visualization tools, such as Snowflake and Looker respectively.
• Familiarity with C++, in the context of real-time embedded systems or robotics.
• Ability to work onsite at our Waltham facility for direct interaction with teams and robots.
• Nice to Have Experience with Jira, and Jira Automation, for project management, issue tracking, and reporting.
• Experience with Bazel, Google Test infrastructure, Google Cloud Platform and Apache Airflow.
• Understanding of controls theory, electric motors, and embedded systems, or working directly with complex hardware in a lab environment.
• Professional or Project-based Experience with Reinforcement Learning (RL), or working with training datasets for supervised or unsupervised learning.

The base pay range for this position is between $100,000 to $140,000 annually. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting.

Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and an annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.

We are growing rapidly, building a commercial company that delivers cutting edge technology and solutions to our customers from industrial applications to logistics and warehouse solutions.