As a Software Engineer on the Data Infrastructure team, you will be responsible for designing, building, and maintaining the data infrastructure that powers our cutting-edge robotics systems. Your software will enable design, development, and operational robotic workflows, integrating with Kubernetes based cloud and on-device services. This includes the systems that collect and process data from our robots in the real world, and feed that data into our machine learning pipelines to train and evaluate the models that make our robots intelligent. You will collaborate with a passionate Product and Engineering team creating software that enables fleets of robots to build better.
How your work moves the mission forward
Design, develop, and maintain scalable and reliable software infrastructure for collecting, processing, and storing large volumes of robotics data (e.g., sensor data, telemetry, logs).
Build and maintain tools to enable developers to debug their robotics systems.
Build internal developer tools, telemetry pipelines, and infrastructure services to inspect and validate real-time robot operations.
Implement and maintain data security and privacy best practices.
Work with Customers, Product managers, and Researchers to customize data pipelines for analysis and research.
Skills you will need to be successful
Experience contributing to medium to large software projects for at least 4 years.
Production proficiency in C++ or Go; or advanced Python (concurrent systems, performance optimization, and architectural design-not scripting/notebooks).
Excellent communication and collaboration skills.
Experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services.
Skills that will differentiate your candidacy
Experience with containerization technologies (e.g., Docker, Kubernetes).
Experience with data governance and compliance.
Familiarity with frontend development.
Familiarity with robotics systems.
This role sits within core platform software engineering. You will be building distributed ingestion systems and services that interface with robotics runtimes. Our technical assessment includes live algorithms/data structures coding (no AI tools permitted) and systems architecture design. Candidates whose background is primarily analytics, dashboarding, or standard SQL ETL typically do not align with this technical bar.*
The base salary for this full-time position is between $180,000.00 - $237,800.00 (USD) + 15% bonus + equity + benefits. Your recruiter will share more about the specific salary range for your targeted location during the hiring process.
Numbers & Facts
Location
Mountain View, CA
Skills
Algorithmsunmatched
Amazon Web Services (AWS)unmatched
Architectural Designunmatched
Artificial Intelligence (AI)unmatched
Best Practicesunmatched
C++ Programming Languageunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Data Analysisunmatched
Data Collectionunmatched
Data Managementunmatched
Data Processingunmatched
Data Structuresunmatched
Database Extract Transform and Load (ETL)unmatched
Debugging Skillsunmatched
Distributed Computingunmatched
Dockerunmatched
GCP (Good Clinical Practices)unmatched
Information/Data Security (InfoSec)unmatched
Machine Learningunmatched
Microsoft Windows Azureunmatched
Performance Tuning/Optimizationunmatched
Privacy Controlsunmatched
Product Engineeringunmatched
Programming Toolsunmatched
Python Programming/Scripting Languageunmatched
Reporting Dashboardsunmatched
Roboticsunmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
Scripting (Scripting Languages)unmatched
Software Designunmatched
Software Engineeringunmatched
System Architectureunmatched
Team Playerunmatched
Technical Analysisunmatched
Telemetryunmatched
Training/Teachingunmatched
User Interface/Experience (UI/UX)unmatched
Vehicle Fleetsunmatched
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