Software Engineer, Autonomy Behavior ML Data Optimization Team

DeWinter Group; Foster City (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

DeWinter Group seeks a Software Engineer to join the Autonomy Behavior ML Data Optimization team. You will build data pipelines handling large driving datasets, enabling discovery, curation, and validation of driving scenarios for safe AV operation.

You will work across the data stack, from backend services to frontend interfaces, delivering scalable, reliable data infrastructure and tools for internal stakeholders. This onsite role in Foster City requires strong collaboration and data expertise.

Qualifications

• 3+ years of professional software engineering focusing on data processing and pipelines.
• Experience designing and optimizing distributed data pipelines (ETL/ELT).
• Strong Python production pipeline and web service experience (FastAPI/Uvicorn).
• Familiarity with SQL, dashboards, and large-scale data manipulation.
• Experience orchestrating workflows with Airflow, Prefect, or Dagster.

Responsibilities

• Build and optimize scalable data pipelines for driving scenario discovery in AV data.
• Develop robust data infrastructure and tools across the data stack.
• Collaborate with cross-functional teams to enable rapid insights and validation.

Skills

Data pipelines

ETL/ELT

Python

Spark/Databricks

Airflow

Dagster

FAISS

Kubernetes

Ray Core/Data

React.js

SQL

Communication

Education

Bachelor’s degree in Computer Science

Tools

Spark

Databricks

AWS EMR

Ray Core/Data

FastAPI

Uvicorn

React

PySpark

SQL

TensorFlow Serving

Job description

Join the Cutting Edge of Autonomous Vehicles as a Software Engineer, Autonomy Behavior ML Data Optimization Team

Are you passionate about leveraging data to drive innovation in autonomous driving? Do you thrive in dynamic, data-intensive environments and want to make a tangible impact on the future of mobility? We’re seeking a talented Software Engineer to join the Autonomy Behavior ML Data Optimization team at a leading autonomous vehicle company. In this role, you will build and optimize scalable data pipelines that empower teams to discover, curate, and validate driving scenarios critical for safe and reliable AV operation.

Overview

As a Software Engineer on this pioneering team, you will develop robust data infrastructure and tools that process large-scale driving data, enabling rapid insights and scenario discovery. Your work will directly influence the development of models forecasting road agent behavior, contributing to safer, smarter autonomous vehicles. This position offers a unique opportunity to work across the data stack—from backend services and distributed processing to frontend UI enhancements—ensuring seamless data pipelines and intuitive interfaces for internal stakeholders.

Required Skills

• 3+ years of professional software engineering experience, focusing on data processing and pipeline engineering
• Proven expertise designing, building, and optimizing distributed data pipelines (ETL/ELT) using tools like Spark, Databricks, AWS EMR, AWS Batch, or Ray Core/Data
• Strong proficiency in Python, with hands‑on experience developing production‑grade data pipelines and web services (FastAPI, Uvicorn, or similar frameworks)
• Familiarity with data visualization dashboards, SQL, and large‑scale data manipulation (PySpark/Scala preferred)
• Experience orchestrating workflows with tools like Airflow, Prefect, or Dagster
• Knowledge of vector similarity search and indexing technologies (FAISS, Annoy, ScaNN, Milvus)
• Hands‑on experience working with cloud storage (AWS S3), compute (EC2), and container orchestration (Kubernetes, Docker)
• Solid understanding of data structures, algorithms, and performance tuning
• Experience with modern frontend frameworks, especially React.js, for building data‑driven web interfaces
• Excellent communication skills with the ability to collaborate across multidisciplinary teams

Nice to Have Skills

• Familiarity with machine learning concepts, especially embeddings, clustering, and similarity search
• Experience with ML model serving infrastructure (TensorFlow Serving, TorchServe, Triton, RayServe)
• Knowledge of Large Language Model (LLM) integration, retrieval‑augmented generation (RAG), or natural language interfaces
• Experience developing and operating complex production Airflow DAGsExposure to data cataloging, metadata management, and observability tools (Prometheus, Grafana, Datadog)
• Background in autonomous vehicle data, including logs, telemetry, or driving scenarios
• CI/CD pipelines development and experience with Bazel build systems
• Full‑stack development experience, owning applications end‑to‑end, including admin panels and UIs

Preferred Education and Experience

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical field
• 3+ years of experience in data infrastructure, backend development, or similar roles within tech‑forward organizations
• Passion for autonomous vehicles, robotics, or related domains

Other Requirements

• Location: Onsite in Foster City, CA (5 days in office)
• Availability to start ASAP
• W2 employment status only
• This role involves working with large‑scale distributed data and may require collaboration with cross‑functional teams across various disciplines

If you are excited about building data pipelines and processing systems that directly accelerate safe autonomous driving, enjoy working with large‑scale distributed data infrastructure, and want to make a measurable impact on how a world‑class AV company discovers and understands driving scenarios, this role is for you.

DeWinter Group and Maris Consulting is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We post pay scales which are based on our client pay ranges. DeWinter, Maris, and our clients have the right to modify the requirements of the role which can impact the pay ranges posted.