Data & Test Engineer – Robotics & ML
This job posting may have expired or been filled. Please check with RobCo directly, or explore other 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,...
Other Jobs at RobCo
Similar Opportunities
This job posting may have expired or been filled. Please check with RobCo directly, or explore other 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,...
