> Markdown version of [/jobs/ext/3956468-senior-software-engineer-perception](https://www.wearedevelopers.com/jobs/ext/3956468-senior-software-engineer-perception). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Software Engineer, Perception

- **Company:** Aurora Innovation, Inc.
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $162,000.0 - $260,000.0
- **Contract:** Permanent contract
- **Skills:** Computer Vision, Big Data, C++ (Programming Language), Virtual Camera Systems, Python (Programming Language), Machine Learning, Object Detection, Tensorflow, Software Deployment, Software Engineering, Pytorch, Deep Learning, Information Technology, Machine Learning Operations, Lidar
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-perception-mountain-view-ca--f75f3c2e-53c8-4f35-abef-dd38bc36f492

## About the Role

Software Engineering, Logistics, LinkedIn, Diversity, Autonomous Driving Systems, Software Engineering, Machine Learning, Ecosystems, Cross-Functional, Deep Learning, * BS, MS, or PhD in Computer Science, Robotics, Engineering, or a related field with a strong foundation in one or more focus areas of ML, including deep learning, computer vision, recursive state estimation, structured prediction, and optimization.

 * 6+ years of research-based or professional experience with C++ and Python.
 * Comprehensive grasp of linear algebra, discrete/continuous optimization, supervised/unsupervised methods, and generative/discriminative models.
 * Strong publication record at top-tier robotics/computer vision conferences/journals, or significant industry experience in relevant fields (robotics, computer vision, self-driving technology), * Experience utilizing deep learning frameworks such as PyTorch or TensorFlow.
 * Advanced production-level knowledge of C++ is highly preferred.
 * Prior experience applying computer vision and machine learning directly to complex robotics problems.
 * Experience deploying computer vision/ML models at scale across large physical fleets.
 * Proven ability to work effectively in environments requiring close cross-team collaboration.
 * Experience working with 3D data, including 3D object detection, tracking, semantic segmentation, or processing point clouds from LiDAR, Radar, and multi-camera system

## Description

* Tackle End-to-End Autonomy Challenges: Address object detection, tracking of traffic actors, action recognition, and semantic understanding of diverse traffic scenes.
 * Deploy Production-Ready Software: Guide software development from initial prototype to production deployment on a real-time AV platform, leveraging large-scale data sets for training and analysis.
 * Collaborate and Iterate: Partner with team members to diagnose, analyze, and resolve failure modes encountered during on-road and simulated testing to produce robust, well-tested systems.
 * Scale ML Engineering Pipelines: Build and scale robust ML pipelines to facilitate quick experimentation as well as large-scale training and testing.