2 days ago
Base Salary
$180k - $260k/yr
Responsibilities
- Design, build, and operate production pipelines that ingest, decode, transform, and store multi-sensor logs from autonomous trucks and simulation environments.
- Build internal tools and services for data labeling, curation, indexing, cataloging, and dataset discovery.
- Partner with ML researchers, autonomy engineers, and data scientists on schemas and APIs for model training, evaluation, and debugging.
- Develop feature stores, metadata systems, and dataset versioning for structured and unstructured sensor data.
- Integrate synthetic and simulated data with real-world logs for hybrid training, scenario replay, and simulation workflows.
- Build scenario-mining and event-tagging pipelines for rare and safety-relevant driving situations.
- Optimize pipelines for cost, latency, traceability, and end-to-end lineage from raw logs to model and evaluation results.
- Automate closed-loop testing, regression analysis, and fleet performance analytics with simulation, cloud platform, and safety teams.
- Set data quality and observability standards and mentor engineers through design and code reviews.
Requirements
- Bachelor's or master's degree in Computer Science, Data Engineering, or a related field, or equivalent practical experience.
- 8+ years of experience building data-intensive software systems, ideally in autonomous driving, robotics, or large-scale ML environments.
- Strong proficiency in Python and SQL with working familiarity with C++.
- Hands-on experience designing ETL/ELT pipelines with frameworks such as Apache Spark, Flyte, Union, Ray, or Airflow.
- Strong knowledge of cloud-native architectures on AWS or Google Cloud equivalents.
- Familiarity with camera, lidar, radar, and GPS/IMU sensor data and formats such as Protobuf, ROS/ROS 2 bags, and MCAP.
- Deep understanding of data quality, observability, and lineage in high-volume systems.
- Track record of building reliable, performant infrastructure for ad-hoc exploration and repeatable production workflows.
- Preferred experience includes autonomous driving, ADAS, autonomous trucking, robotics, ML orchestration, temporal and spatial data, geospatial indexing, synthetic data, simulation logging, lakehouse formats, safety-critical development, CI/CD, testing, service deployment, and distributed cross-functional teams.
Benefits
- Gatik emphasizes a diverse, inclusive, collaborative, and respectful work environment with opportunities for professional growth.
Tech Stack
Categories
Data Engineering
About Gatik AI
Gatik AI builds and operates autonomous middle‑mile trucking networks for retailers and consumer brands, delivered as a transportation‑as‑a‑service offering. Its Level 4, Class 3–7 trucks move B2B freight on short‑haul, repeatable routes, with commercial deployments in Texas, Arkansas, and Ontario, including a fully driverless service launched with Walmart in 2021. Founded in 2017 and headquartered in Santa Clara, it integrates software and hardware to run driverless deliveries between warehouses and stores.