Job description

About Andrenam We’re building sonar and sensing systems that bring light to the last dark domain: the ocean. Our team includes alumni from SpaceX, Anduril, ABL, Palantir and Qualia. We build full-stack—from physics to perception to product—with speed, elegance, and an unwavering commitment to the mission. We believe the maritime domain will define the next century of economics, geopolitics, and global security. We're here to shape it. About this role AndrenaM is seeking a Senior Software Engineer - Data Platform who is passionate about advancing autonomy and real‑time maritime communication technology. We’re looking for a talented and motivated engineer to join our team. This is a unique opportunity to be a core part of our founding team, shaping the product and technology from the ground up. Our main engineering challenge is to develop a real‑time ML data platform that can ingest, process, store, reprocess, and analyze data from thousands of autonomous and semi‑autonomous marine systems. This system must seamlessly handle a wide variety of sensors, hardware interfaces, data sources, and AI‑driven analytics—with military‑grade security, reliability, and reproducibility. In this role • 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. Responsibilities • 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). Some types of experiences we're especially excited to see • 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. Why join us? Andrenam is an innovative, mission-driven company at the intersection of maritime autonomy and defense. We offer: • 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. Salary Range $170,000-$200,000 The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Andrenam's total compensation package. Additionally, Andrenam offers top-tier benefits for full-time employees, including: medical, vision & dental coverage as well as access to a 401(k) retirement plan. Disclosures This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). You must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State without sponsorship for an export license. Andrenam is an equal-opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance.

Requirements

Must-haves

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).
Some types of experiences we're especially excited to see
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.
Why join us?
Andrenam is an innovative, mission-driven company at the intersection of maritime autonomy and defense. We offer:
Competitive salary
Long-term equity incentive program with significant growth potential.
Flexible PTO and paid holidays.
Lunch and snacks provided in office.
Access to a unique work environment, blending technology, maritime, and defense.
$170,000-$200,000

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

mlaipythongorusttypescript

Platform: gem
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

401(K)

Pto