Senior Software Engineer, Data Platform

NXT Level Technologies

$200K — $240K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in building data platforms or large-scale data processing systems
  • Proven ownership of dataset quality, reproducibility, and evaluation fidelity
  • Strong proficiency in Python and modern data tooling
  • Familiarity with libraries like PyArrow, Pandas, NumPy, or SciPy
  • Experience working with diverse data types such as audio, video, or telemetry
  • Knowledgeable in data pipelines, dataset versioning, and quality monitoring
  • Experience developing APIs and access layers for data discovery

Responsibilities

  • Build and manage a real-time ML data platform for marine systems
  • Transform raw maritime signals into usable datasets for models
  • Design and implement post-processing pipelines for multi-sensor data
  • Create frameworks for reprocessing historical datasets
  • Apply filters and enrich metadata across large datasets
  • Maintain standards for data lineage and reproducibility in ML experiments
  • Integrate data quality metrics across various dimensions

Benefits

  • Long-term equity incentive program with growth potential
  • Flexible PTO and paid holidays
  • Comprehensive medical, dental, and vision insurance
  • 401(k) plan
  • Free lunch and office snacks
  • Unique work environment focused on technology and defense
  • Rapid growth opportunities in a mission-driven company
Full Job Description
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 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. You'll 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 You'll 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 We're 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

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