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# Software Engineer - E2E Autonomy

- **Company:** Applied Intuition
- **Location:** Sunnyvale, CA, United States (Remote available)
- **Salary:** $153,000.0 - $222,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Big Data, Nvidia CUDA, Distributed Systems, Python (Programming Language), Software Engineering, Pytorch, Apache Spark, Kubernetes, Build Tools, Machine Learning Operations
- **Published:** November 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-e2e-autonomy-sunnyvale-ca--10b59504-c86d-496d-a867-531316b8c78b

## About the Role

Software Engineering, Agriculture, Construction, Artificial Intelligence (AI), United States Military, Operating Systems, Trucking, Mining Industry, Automotive Repair and Maintenance, Schedule Development, * Exceptional software generalist experience with ambition to contribute up and down the ML stack, onboard the vehicle, and in the cloud

 * Strong fundamental skills in software & module design: can tame chaos with libraries & abstractions
 * Rapid analytical and problem-solving skills

Nice to have:

 * Strong multi-language build system knowledge
 * Distributed systems/compute (e.g. k8s, cloud-managed services at scale)
 * ML infra fluency - has used and/or contributed to ML and large data systems

## Description

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

About the role

Applied Intuition is pushing the frontier of autonomy and vehicle intelligence through next-generation AI Research. In this role, you will enable this research effort by building ML tools, infrastructure, managing large datasets, and addressing challenges across the entire end-to-end (E2E) autonomy stack. Join our research and production teams in creating the next generation of self-driving vehicles. Here at Applied, we encourage all engineers to take ownership over technical and product decisions, closely interact with external and internal users to collect feedback, and contribute to a thoughtful, dynamic team culture.

At Applied Intuition, you will:

 * Build tools and infrastructure to enable large-scale E2E autonomy research led by Dr. Wei Zhan
 * Work directly with both AI research and engineering teams to productionize next generation self-driving software
 * Help scale end-to-end training by identifying bottlenecks, especially as we continue to scale our GPU compute, onroad data volume, curation efforts, and eval systems
 * Technologies: Python, Pytorch, CUDA, Bazel, Kubernetes, Spark, Flyte