Senior Software Engineer, Data Platform

Senior Software Engineer Data Platform

Location: United States
Employment Type: Full-time
Compensation: $200K$240K base salary equity
Focus: Data Platform ML Infrastructure Sensor Data Maritime Autonomy Defense Technology

About Our Client

Our client is building advanced sonar and sensing systems designed to bring real-time intelligence to the maritime domain.

Their technology sits at the intersection of autonomy sensing perception and defense. The team is building full-stack systems across physics hardware interfaces data machine learning perception and product.

The company is backed by a mission-driven team with experience from some of the most respected technology aerospace defense and AI organizations in the world. They believe the maritime domain will shape the next century of economics geopolitics and global security and they are building the technology to help define that future.

About the Role

Our client is hiring a Senior Software Engineer Data Platform to help build the real-time ML data platform behind autonomous and semi-autonomous marine systems.

This is a high-impact role for an engineer who is passionate about autonomy maritime sensing defense technology and large-scale data infrastructure. Youll help define how raw maritime signals become clean consistent labeled datasets that power perception models foundation models evaluation systems and AI-driven analytics.

The core challenge is building a platform that can ingest process store reprocess and analyze data from thousands of marine systems across a wide range of sensors hardware interfaces and data sources all with a high bar for security reliability reproducibility and performance.

What Youll Do

• Build and operate a real-time ML data platform for autonomous and semi-autonomous marine systems
• Define how raw maritime signals become clean consistent labeled datasets for perception and foundation models
• Build post-processing pipelines that align resample and calibrate multi-sensor data
• Create robust backfill and reprocessing frameworks for historical data
• Apply new filters synchronizations label corrections and metadata enrichments across large datasets
• Establish lineage versioning and reproducibility standards for ML experiments
• Build dataset discovery and access APIs/SDKs for downstream users
• Enable teams to query datasets by time region modality labels and quality flags
• Instrument data quality metrics across completeness corruption drift label density class balance and regional coverage
• Build dashboards alerts and canary dataset builds to improve data reliability
• Optimize storage layouts for fast reads parallelization compression chunking sharding locality and prefetching
• Partner closely with ML perception hardware and product teams to map data contracts to model needs

What Were Looking For

• Strong experience building data platforms ML infrastructure or large-scale data processing systems
• Experience owning dataset quality reproducibility lineage and evaluation fidelity
• Strong Python experience and comfort with modern data tooling
• Experience with tools such as PyArrow Polars Pandas NumPy SciPy or similar libraries
• Experience working with audio vision telemetry sensor or time-series data
• Strong understanding of data pipelines dataset versioning metadata and quality monitoring
• Experience building APIs SDKs or access layers for data discovery and consumption
• Ability to design systems that support both real-time and historical reprocessing workflows
• Comfort working closely with ML perception hardware and product teams
• Strong ownership technical judgment and ability to operate in a fast-moving startup environment

Bonus Experience

• Experience owning dataset-as-a-product systems used across multiple model families
• Experience building curated corpora with strong lineage documentation and reproducibility
• Experience designing dataset splitting or sampling strategies by time platform geography class signal quality or similar dimensions
• Experience preventing data leakage and improving model generalization through thoughtful dataset design
• Hands-on experience with labeling workflows ontologies consensus systems QA or label-store integrations
• Experience with Go Rust or TypeScript for services
• Experience with orchestration tools such as Airflow or Prefect
• Experience with metadata and lineage tools such as MLflow or Weights & Biases
• Exposure to edge or sensor data including audio sonar video telemetry time synchronization or geospatial context
• Experience in defense maritime autonomy robotics aerospace or national security technology

Why This Opportunity

• Join a mission-driven company building technology for the maritime domain
• Work on hard data infrastructure problems across autonomy sensing perception and ML
• Build the platform that turns raw sensor data into reliable model-ready datasets
• Partner closely with a high-caliber team across software hardware ML and product
• Help shape foundational systems as an early member of the team
• Work on technology with real implications for global security maritime operations and autonomous systems
• Step into a role with significant ownership technical depth and long-term impact

Benefits

• Competitive salary
• Long-term equity incentive program with significant growth potential
• Flexible PTO and paid holidays
• Comprehensive medical dental and vision insurance
• 401(k)
• Lunch and snacks provided in office
• Unique work environment blending technology maritime systems and defense

Required Experience:

Senior IC