Staff Software Engineer, Online Maps

Aurora; Mountain View (CA); Hybrid; USD 189,000 - 303,000; Full time

Job summary

Aurora seeks a senior researcher to advance perception for the Aurora Driver. You will design, implement, and optimize vision-based perception systems in collaboration with a top-notch autonomy team.

You'll prototype deep learning models, validate via rigorous tests, and contribute to scalable production deployment in a hybrid office setting in Mountain View, CA. This role emphasizes strong software skills, ML research, and collaboration across maps, simulation, and safety teams.

Qualifications

• Proficient in Python and C++, with strong software engineering skills.
• Experience with deep learning frameworks (e.g., PyTorch).
• Background in Computer Vision or ML/AI research.

Responsibilities

• Lead and collaborate on perception algorithms for Aurora Driver.
• Research and develop state-of-the-art DL/ML models.
• Develop verification and validation technologies.
• Collaborate with online maps, simulation, and safety teams.
• Build infrastructure and tests for go/no-go decisions.
• Integrate production-ready solutions into the Aurora Driver.

Skills

Python

C++

Deep Learning

Computer Vision

Machine Learning

Tools

PyTorch

Job description

Aurora's mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.

In this role, you will

• Lead and Collaborate with other members of the Online Maps autonomy team to improve/ideate and implement perception algorithms that power the Aurora Driver
• Research and develop state-of-the art deep learning/machine learning models to improve our perception solutions under challenging and diverse scenarios
• Develop novel verification and validation technologies and techniques
• Partner with engineers from online maps, simulation, and safety to ensure that online mapping technology is ready for operation with no vehicle operator
• Build infrastructure and tests that support critical go/no go decisions for deploying the Aurora Driver
• Integrate, test, and deploy production-ready solutions into the production code that powers the Aurora Driver

Required Qualifications

• Excellent software engineering skills in Python and/or C++
• Extensive exp in any deep learning framework, such as PyTorch
• Extensive exp in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record)

Desirable Qualifications

• Relevant industry experience (prior work on self-driving vehicles, autonomy, and/or robotics projects)
• 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 $189,000 - $303,000 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.

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. We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week. 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.

Our commitment to safety

At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization's long-term success by prioritizing working safely, no matter what.

Our 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 [e-mail].

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.