Senior Perception Data Platform Engineer

Watney; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Watney Robotics is seeking a backend or data infrastructure engineer to design and scale the platform layer that powers our perception workflows, including automated data mining, multimodal ingestion pipelines, and parallelized regression backbones.

You will own the perception data engine, build continuous evaluation infrastructure, scale annotation and feature extraction, and drive quality metrics while ensuring deterministic performance across edge deployments.

Qualifications

• Experience building high-throughput data platforms and distributed streaming systems.
• Design scalable data pipelines and storage for multimodal media formats (video, telemetry).
• Experience with closed-loop testing infrastructure, regression frameworks, or metric tracking engines for complex software.
• Strong knowledge of geometry computer vision, 3D spatial data, or ML workflow metadata orchestration.

Responsibilities

• Own the Perception Data Engine: architect and optimize scalable off-robot data pipelines for petabyte-scale video and sensor streams.
• Build Continuous Evaluation Infrastructure: design deterministic simulation, regression testing, and evaluation loops for edge deployment benchmarking.
• Scale Annotation & Feature Extraction: develop high-throughput pipelines for multimodal data fusion, automated labeling, and feature extraction.
• Drive Quality Metrics & Monitoring: establish telemetry and observability to track regression, drift, and perception accuracy across live environments.

Job description

Watney Robotics is seeking a backend or data infrastructure engineer to design and scale the platform layer that powers our perception workflows, including automated data mining, multimodal ingestion pipelines, and parallelized regression backbones.

You will own the perception data engine, build continuous evaluation infrastructure, scale annotation and feature extraction, and drive quality metrics while ensuring deterministic performance across edge deployments.