Fullstack Engineer, Behavior Planning 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

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

JavaScript, TypeScript, Three.js, MobX, C++, Python, Full-stack Web, Linear Algebra, Robotics, Machine Learning

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 Visualization Tools Engineer to join Aurora’s Motion Planning Systems group. The Motion Planning Systems group is responsible for accelerating development & debugging workflows for the core of the planner. In this role, you will Build 2D & 3D quantitative visualizations for debugging core planner components Enhance core planner components to improve observability & architecture Create tooling to speed up software development iteration Unify workflows for tabular data and log data Collaborate closely with core planner engineers Required Qualifications Strong JavaScript or TypeScript experience Experience interfacing with product users in a tight feedback loop BS software engineering, mathematics or physics or similar Desirable Qualifications Knowledge of Three.js & MobX libraries Basic C++ Basic Python Full-stack web Linear Algebra Robotics experience ML experience 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

In this role, you will build 2D & 3D quantitative visualizations for debugging core planner components and enhance core planner components to improve observability & architecture. You will also create tooling to speed up software development iteration and unify workflows for tabular data and log data.