Data & Test Engineer – Robotics & ML
Job Description
About RobCo
RobCo has secured over $50+ million from Sequoia Capital and Lightspeed to build next-generation robotics solutions.
The Role
Own the ecosystem that measures how well robot learning models perform—in simulation and on real robots.
What You'll Do
-
Develop reproducible test frameworks and integrate them into CI/CD and release pipelines
-
Create standardized performance metrics including success rates, robustness assessments, and latency measurements
-
Organize and version multimodal datasets containing demonstrations, trajectories, logs, and sensor data
-
Define scenes, assets, and procedures while ensuring reproducibility and safety
-
Build dashboards and track performance trends over time
-
Partner with ML, robotics, autonomy, and product teams
Requirements
-
Background in Data Engineering, Data Science, QA Engineering, or Simulation
-
Strong dataset and data pipeline management experience
-
Python proficiency with ML/data tools (NumPy, Pandas, PyTorch, Spark, Ray Data)
-
Experience building metrics, dashboards, or analytics tools
-
Familiarity with simulation frameworks (Unity, Unreal, Isaac Sim)
-
Strong documentation and communication abilities
What We Offer
-
Shape a central, high-impact component of the robot learning pipeline
-
Hybrid work model with flexible hours and modern equipment
-
Backed by $50+ million in funding
Skills & Technologies
Company Info
RobCo
Develops and manufactures modular robot automation solutions for small and medium-sized enterprises,...
Other Jobs at RobCo
Similar Opportunities
Job Description
About RobCo
RobCo has secured over $50+ million from Sequoia Capital and Lightspeed to build next-generation robotics solutions.
The Role
Own the ecosystem that measures how well robot learning models perform—in simulation and on real robots.
What You'll Do
-
Develop reproducible test frameworks and integrate them into CI/CD and release pipelines
-
Create standardized performance metrics including success rates, robustness assessments, and latency measurements
-
Organize and version multimodal datasets containing demonstrations, trajectories, logs, and sensor data
-
Define scenes, assets, and procedures while ensuring reproducibility and safety
-
Build dashboards and track performance trends over time
-
Partner with ML, robotics, autonomy, and product teams
Requirements
-
Background in Data Engineering, Data Science, QA Engineering, or Simulation
-
Strong dataset and data pipeline management experience
-
Python proficiency with ML/data tools (NumPy, Pandas, PyTorch, Spark, Ray Data)
-
Experience building metrics, dashboards, or analytics tools
-
Familiarity with simulation frameworks (Unity, Unreal, Isaac Sim)
-
Strong documentation and communication abilities
What We Offer
-
Shape a central, high-impact component of the robot learning pipeline
-
Hybrid work model with flexible hours and modern equipment
-
Backed by $50+ million in funding
Skills & Technologies
Company Info
RobCo
Develops and manufactures modular robot automation solutions for small and medium-sized enterprises,...
