Senior Software Engineer, Geometric Generation

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 or follow us on LinkedIn.

What we are looking for

Map Build's Geometric Generation team is hiring a Software Engineer to build the 3D spatial foundation that powers the Aurora Driver. You will own the algorithms that process millions of miles of lidar logs into automated offline maps, solving crucial speed and scaling challenges as Aurora expands to new routes.

In this role you will

• Design, implement and own geometric map-generation algorithms, including sensor optimization, large scale pose-graph optimization and multi-modal alignment,

• Identify and build a system that will be immune to failure modes. In doing so, be expected to root cause and ship algorithmic fixes with measurable success criteria.

• Improve the runtime and scalability of large-scale distributed map-build pipeline stages.

• Collaborate with neighboring team on defining data contracts and integration requirements

Required qualifications

• BS, MS or PhD in Computer Science, Robotics, Electrical Engineering or a related field, or equivalent practical experience.

• 6+ years of professional software development experience in C++ with track record of leading technically ambiguous, multi-quarter projects.

• Hands-on experience with 3D geometry and point-cloud processing, such as registration (ICP, scan matching), pose-graph or nonlinear least-squares optimization, surface reconstruction or lidar-based SLAM/mapping.

• Strong grasp of linear algebra, spatial transforms, numerical optimization and probability.

• Experience debugging and improving data quality across large datasets or pipelines.

Desirable qualifications

• Experience building HD maps or map-building systems for autonomous vehicles or robotics.

• Experience applying computer vision or semantic segmentation to geometric problems.

• Experience with large-scale distributed data processing (e.g., Beam, Spark, batch compute on AWS) and performance optimization.

• Familiarity with geospatial concepts: coordinate frames, map projections, tiling schemes.

• Proficiency in Python

The base salary range for this position is $160,000 - $260,000 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, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs.

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 [email protected].

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.