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 Software Engineer to join our Map Fusion team to develop algorithms that allow our vehicles to detect and respond to dynamic environmental changes like construction and emergency vehicles in real-time. This is an exciting opportunity to work at the intersection of "classical" geometric algorithms and modern machine learning to solve high-stakes, real-world safety challenges
In this role you will
- Develop onboard algorithms for updating map content in response to changing scenes such as construction zones and people directing traffic.
- Implement real-time compute solutions to update maps from sensor data on-the-fly while maintaining strict performance constraints.
- Collaborate cross-functionally with Motion Planning, Localization, and Fleet Intelligence teams to ensure seamless map integration.
- Contribute to safety cases around modern machine learning methods to ensure rigorous safety standards are met.
- Utilize graph-centric and geometric algorithms to produce the local geometry of lane lines and driveable surfaces used by the motion planning system.
Required qualifications
- Proficiency in C++ with a focus on building functional, production level software.
- Proficiency in Python for algorithm development and testing.
- Strong 3D geometric reasoning skills to handle complex mapping data.
- Solid understanding of graph theory, including practical applications of algorithms like Dijkstra’s.
Desirable qualifications
- Experience with Deep Learning methods and their application to real-world data.
- Familiarity with Bayesian Inference for probabilistic reasoning.
- Experience in Spline Manipulation for geometric path and surface modeling.
- Background in autonomous vehicle technology or related high-performance computing industries.
The base salary range for this position is** $139,000 - $223,000 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.
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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.
OurCareers 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 careersiteaccommodations@aurora.tech.
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