Senior ML Infrastructure Engineer - Scalable Data Pipelines

Gatik; Santa Clara (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Gatik is hiring a Senior/Staff Software Engineer, ML Infrastructure in Santa Clara, CA. You will design and build systems turning fleet data into high-quality training and evaluation sets, and run scalable training and evaluation with robust experiment tracking.

You will lead multi-team collaboration, shape ML platform tooling, and drive metrics and release decisions for safety-critical driverless operations. This role emphasizes mentoring and cross-team technical direction.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Robotics, or related field; 5+ years of relevant industry experience.
• Staff candidates typically bring 8+ years, including time setting technical direction beyond a single team.
• Strong Python software engineering skills with modular, high-performance systems.

Responsibilities

• Build scalable data pipelines that discover, label, and organize driving scenarios with provenance and clear data contracts.
• Curate balanced training and evaluation datasets across routes, weather, and traffic conditions.
• Scale training and evaluation infrastructure on multi-tenant GPU clusters; robust data loading and checkpointing.

Skills

Python

PyTorch

PyTorch Lightning

Ray

Data pipelines

Distributed training

Experiment tracking

MLOps

Statistical design

Cross-team collaboration

Education

Bachelor’s degree in CS/CE/Robotics

Master’s degree in CS/EE/Robotics

Tools

SQL

Pandas

Scikit-learn

Job description

Gatik is hiring a Senior/Staff Software Engineer, ML Infrastructure in Santa Clara, CA. You will design and build systems turning fleet data into high-quality training and evaluation sets, and run scalable training and evaluation with robust experiment tracking.

You will lead multi-team collaboration, shape ML platform tooling, and drive metrics and release decisions for safety-critical driverless operations. This role emphasizes mentoring and cross-team technical direction.