Gritt Robotics Inc
ML Infrastructure Engineer
South San Francisco · On-site · Full-time · Posted May 26, 2026
- Experience
- 4+ years deploying high-performance ML pipelines in production.
- Education
- Degree in computer science or related engineering disciplines (or equivalent experience).
- Visa sponsorship
- Legally authorized to work in the United States.
About the job
Builds and operates cloud infrastructure and pipelines for training, evaluating, and monitoring AI models and autonomy software for robotics.
What you'll do
- Develop scalable cloud pipelines for data ingestion, preprocessing, AI training, validation, and evaluation.
- Deploy monitoring and CI/CD pipelines, and optimize performance, I/O, and GPU utilization.
- Build experimentation, orchestration, and visualization tools, and integrate cloud tooling with other teams.
What they ask for
- Degree in computer science or a related engineering discipline, or equivalent experience.
- 4+ years of experience deploying high-performance ML pipelines in production.
- Proficient in Python and comfortable with C++/Go; experience with PyTorch.
- Experience with data-loading workflows and formats, cloud platforms, and Docker, Kubernetes, and Airflow.
Tools
Python, C++, Go, PyTorch, Parquet, HDF5, TFRecord, AWS
AI focus
Develop and operate AI training, validation, and evaluation pipelines, including cloud-based evaluation of models and autonomy software through simulation.
Model-written summary · the original posting is authoritative