Senior Software Engineer - Data Platform
✨ AI Summary
Andrenam, a defense-tech startup building sonar and sensing systems for maritime autonomy, is hiring a Senior Software Engineer for its founding team in Torrance, USA. You'll build a real-time ML data platform for ingesting, processing, and analyzing sensor data from thousands of marine systems, using Python (PyArrow/Polars/Pandas, NumPy/SciPy) plus Go/Rust/TypeScript, with orchestration tools like Airflow/Prefect and metadata tools like MLflow/W&B. Requires deep experience with dataset-as-a-product, multi-sensor data pipelines, labeling workflows, and data quality/reproducibility. Salary range is $170k-$200k with equity, flexible PTO, and full benefits; must be a U.S. citizen or permanent resident due to ITAR/EAR.
- You will define how raw maritime signals become clean, consistent, labeled datasets for perception and foundation models.
- You will prioritize dataset quality, reproducibility, and evaluation fidelity.
- You will collaborate closely with ML/perception to map data contracts to model needs.
- Build and operate post‑processing pipelines that align, resample, and calibrate multi‑sensor data.
- Implement robust backfill/reprocessing frameworks to apply new filters, synchronizations, label corrections, and metadata enrichments across historical data.
- Establish lineage & versioning to guarantee experiment reproducibility.
- Build dataset discovery & access APIs/SDKs so downstream users can query by time, region, modality, labels, and quality flags.
- Instrument data quality metrics (completeness, corruption, drift, label density, class/region balance) with dashboards and alerts; run canary dataset builds.
- Optimize storage layouts for fast reads and parallelization (columnar formats, compression codecs, chunking strategies, sharding, locality, prefetching).
- Demonstrated ownership of dataset‑as‑a‑product: curated corpora supporting multiple model families with strong lineage and documentation.
- Experience designing splitting/sampling strategies (by time, platform, geography, class, SNR) to avoid leakage and ensure generalization.
- Hands‑on with labeling workflows (interfaces, ontologies, consensus, QA) and label‑store integrations.
- Proficiency in Python and data tooling (PyArrow/Polars/Pandas, NumPy/SciPy, audio/vision libs), plus one of Go/Rust/TypeScript for services.
- Comfort with orchestration (Airflow, Prefect) and metadata/lineage (MLflow, W&B).
- Exposure to edge/sensor data (audio/sonar, video, telemetry), time sync, and geospatial context.
- Competitive salary
- Long-term equity incentive program with significant growth potential.
- Flexible PTO and paid holidays.
- Comprehensive medical, dental, vision insurance.
- 401k
- Lunch and snacks provided in office.
- Access to a unique work environment, blending technology, maritime, and defense.
About the Company
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