Software Engineer, Perception Components at Aurora Innovation

Pittsburgh, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Dec, 25

Salary

201000.0

Posted On

25 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++, Python, Machine Learning, Deep Learning, Computer Vision, Recursive State Estimation, Structured Prediction, Optimization, Traffic Actor Detection, Action Recognition, Semantic Understanding, DNN Architectures, Performance Improvements, Validation, Integration, Testing

Industry

Software Development

Description

Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn. Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Machine Learning / Computer Vision Software Engineer for our Perception Team. In this role, you will Collaborate with other members of the Perception autonomy team to improve/ideate and implement perception algorithms that power the Aurora Driver Serve as a technical expert for the team on at least one area related to machine learning, with particular focus on computer vision, recursive state estimation, structured prediction, optimization, and others Research and develop state-of-the art deep learning/machine learning models to improve our perception solutions under challenging and diverse scenarios (e.g., on highways and city streets, long-range and multi-sensor object detection, detection under degraded sensors, etc.). Design, prototype and evaluate machine learning algorithms and DNN architectures for detection of traffic actors, their action recognition, and semantic understanding of various traffic scenes that the Aurora Driver encounters. Drive performance improvements & own validation for a perception capability (e.g., Vehicle tracking, Traffic Lights, etc.) Integrate, test, and deploy production-ready solutions into the production code that powers the Aurora Driver. Required Qualifications Excellent software engineering skills in C++ and Python Extensive exp in any deep learning framework, such as PyTorch, JAX, TensorFlow 6+ years of industry experience in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record) Relevant industry experience (prior work on self-driving vehicles, autonomy, and/or other robotics related projects) Desirable Qualifications Contributions to open source project(s) Strong track record in any field related to machine learning, as evidenced by top-tier publications Examples of relevant fields and conferences: computer vision (e.g., CVPR, ECCV, ICCV, IJCV), machine learning (e.g., ICML, NeurIPS, JMLR, PAMI), robotics (e.g., RSS, IJRR), graphics (e.g., SIGGRAPH, TOG The base salary range for this position is $126K-$201K per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. #LI-JL261 #Mid-Senior Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom. Commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.

Responsibilities

Collaborate with the Perception autonomy team to improve and implement perception algorithms for the Aurora Driver. Research and develop state-of-the-art deep learning models to enhance perception solutions in diverse scenarios.