42dot · 16 hours ago
Senior ML Platform Engineer (Autonomous Driving)
Sunnyvale, CA
Full-time
Onsite
Senior Level
7+ years exp42dot is a mobility AI company committed to solving mobility challenges with software and AI. As a Senior Data Platform Engineer, you will play a pivotal role in building the core infrastructure for autonomous driving, focusing on data engineering and machine learning to support high-performance data platforms.
Artificial Intelligence (AI)TransportationSoftwareAutomotiveAutonomous Vehicles
Responsibilities
Set technical strategy and oversee development of high scale, reliable data platform to manage, visualize and serve large-scale datasets for ML model training and validation
Build up the data lakehouse for autonomous driving scene datasets, including the sensor data, calibration data, as well as annotation data
Drive the Autonomous Driving Data SDK development, including scene data search, datasets preparation, dataset loading, etc
Dig into performance bottlenecks all along the data processing pipelines, from data processing latency, data search latency to Test Procedure (TP) coverage
Bootstrap and maintain infrastructure for Data Platform components—Data Processing Pipeline, Database, Data Lakehouse and Data Serving
Collaborate with cross-functional teams, including ML algorithm, ML application, and Cloud Infra to align ML Platforms with overall Autonomous Driving System Architecture
Qualification
Required
Bachelor's degree or higher in Computer Science, Engineering, Robotics, or a similar technical field
Minimum of 7 years of experience in Data Engineering or ML Platform roles
Expert-level proficiency in Python and solid experience in Python SDK development
Solid working experience in Databases (e.g., MongoDB, PostgreSQL, etc)
Strong understanding of modern AI frameworks (e.g., PyTorch, TensorFlow etc.), especially the principle of distributed data loader for model training
Hands-on experience with data pipeline job orchestration with Databricks Workflows or Apache Airflow, as well as integrating data pipelines with machine learning models
Extensive experience with data technologies and architectures such as Data Warehouse (e.g., Hive) or Lakehouse (e.g., Delta Lake)
Experience with Apache Spark or other big data computing engines
Excellent leadership and communication skills, with a demonstrated ability to lead technical projects
Company
42dot
42dot is a mobility AI company that specializes in autonomous transportation and mobility solutions.
501-1000 employees
H1B Sponsorship
42dot has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
Funding
Current Stage
Late StageTotal Funding
$1.1BKey Investors
Hyundai Motor Company,Kia MotorsKia MotorsHyundai Motor Company
2024-06-05Corporate Round· $184.71M
2023-04-25Corporate Round· $782.79M
2022-08-12Acquired
Recent News
2026-01-22
2026-01-16
2026-01-12
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