Senior Software Engineer, Data Platform — Maritime Autonomy

Rnb Consultancy; Torrance (CA); On-site; USD 200,000 - 240,000; Full time

Job summary

Rnb Consultancy is hiring to build a scalable data platform that ingests maritime sensor streams for ML and perception systems. You will enable live processing, historical replays, and clear data provenance to explain model inputs.

The role emphasizes Python-based data infrastructure, collaboration across ML and software teams, and delivering reliable pipelines for large-scale sensor data in a full-time Torrance, CA setting.

Qualifications

• Experience building and operating large data platforms for ML.
• Strong Python skills with PyArrow/Polars/Pandas/NumPy usage.
• Experience with sensor/time-series data.
• Ability to own technical decisions and collaborate across teams.

Responsibilities

• Build pipelines that ingest and process high-volume sensor data for ML and analytics.
• Align and calibrate data from different sensors for near-real-time processing and historical reprocessing.
• Ensure datasets are traceable via versioning, metadata and lineage for reproducibility.
• Create data-discovery interfaces and access patterns for ML and perception teams.
• Measure data quality, investigate failures and improve reliability as data volumes grow.
• Collaborate with ML, hardware and product teams to translate model needs into durable data contracts.

Skills

Python

Data pipelines

ML data infra

Time-series data

Tools

PyArrow

Polars

Pandas

NumPy

Job description

Help turn streams of maritime sensor data into dependable datasets for machine-learning and perception systems. You will build the data platform that lets engineers process live signals, revisit historical recordings and understand exactly which data informed a model or evaluation. The work spans software infrastructure, dataset quality and close collaboration with teams building autonomous systems.

Location: Torrance, California
Employment: Full-time
Base salary range in the matching recruiter posting: $200,000–$240,000, plus equity

Responsibilities

• Build pipelines that ingest and process high-volume sensor and telemetry data for ML and analytics.
• Align and calibrate data from different sensors; support both near-real-time processing and repeatable historical reprocessing.
• Make datasets traceable through versioning, metadata and lineage so experiments can be reproduced.
• Create data-discovery interfaces and access patterns that help ML and perception teams find fit-for-purpose datasets.
• Measure data completeness and quality, investigate failures and improve reliability as data volume grows.
• Work with ML, hardware and product colleagues to translate changing model needs into durable data contracts.

Requirements

Must-haves

• Experience building and operating substantial data platforms, ML data infrastructure or large-scale processing pipelines.
• Strong Python skills and practical use of data-processing tools or libraries such as PyArrow, Polars, Pandas or NumPy.
• Experience working with sensor, time-series, audio, vision or similarly complex data.
• Understanding of dataset quality, reproducibility and access patterns for downstream users.
• Ability to own technical decisions and collaborate across software and ML teams.

Nice-to-haves

• Experience with sonar, maritime systems, robotics, autonomy or other sensor-rich environments.
• Experience with orchestration, metadata or experiment-tracking tools.
• Experience with backfills, labeling workflows, data APIs/SDKs or storage optimization at scale.