JOB TITLE: Senior Robotics Data Engineer/Data Scientist
The Senior Robotics Data Engineer/Data Scientist joins the manufacturing data organization to build the data and data science backbone for scalable robotics intelligence. This senior individual contributor role involves designing and maintaining end-to-end solutions for robotics data ingestion, processing, storage, and visualization. You will build scalable pipeline architectures for multimodal data, including sensor streams, telemetry, and images, while translating real-world robotics behavior into actionable insights. Key responsibilities include developing production-grade MLOps workflows, data versioning, and internal APIs. Required skills include proficiency in Python and Java, C++, or Scala, alongside experience with Hadoop, Spark, Kafka, PostgreSQL, and Cassandra. You will solve complex problems in manufacturing analytics and industrial IoT by applying machine learning and statistical analysis to improve system performance and operational reliability.
Design and maintain end-to-end data solutions for robotics data ingestion, processing, storage, and visualization.
Create and optimize scalable data pipeline architectures for multimodal robotics and manufacturing sensor streams.
Build high-quality analytic datasets to support business intelligence, model development, and production monitoring.
Apply machine learning and statistical analysis to identify patterns and improve system performance.
Translate robotics behavior and failure modes into curated datasets and actionable improvement loops.
Enable reproducible analytics through data versioning, lineage, traceability, and production-grade MLOps workflows.
Build and maintain internal tools, APIs, master data, and logical data models to improve governance and scalability.
Drive infrastructure improvements through automation and the establishment of stronger engineering standards.
What we're looking for
Bachelor's degree in Computer Science, Data Science, Robotics, Computer Engineering, Electrical Engineering, Mechanical Engineering, or a related technical field.
5+ years of professional experience in data engineering, software engineering, machine learning engineering, applied data science, or a closely related role.
Strong programming skills in Python and at least one additional language such as Java, C++, or Scala.
Experience building and supporting production-grade data pipelines, backend services, APIs, and full stack data applications at scale.
Hands-on experience with big data, streaming, and distributed systems technologies such as Hadoop, Spark, Kafka, Spark Streaming, Storm, PostgreSQL, or Cassandra.
Experience with cloud platforms, data orchestration frameworks, and data modeling for analytics, business intelligence, and machine learning use cases.
Experience applying data science or machine learning techniques to real-world engineering or operational problems.
Strong software engineering fundamentals including version control, testing, CI/CD, documentation, automation, and production support.
C++
Python
Robot Learning
Reinforcement Learning
Imitation Learning
Embodied AI
SLAM
Sensor Fusion
MPC
Trajectory Optimization
Formal Methods
Foundation Models
Distributed Systems
Real-time Systems
Mechatronics
CPU
GPU
NPU
MCU
Machine Learning
Robotics
Swift
LLMs
Diffusion Models
Motion Planning
Optimization
Graph Search
Controls
Linear Regression
Decision Trees
Apple Developer Tools
AI Systems
Robotics
Machine Learning
Python
C++
CUDA
PyTorch
JAX
ROS2
Isaac Sim
Isaac Lab
MuJoCo
Warp
Reinforcement Learning
Imitation Learning
Sim-to-Real
Computer Vision
Foundation Models