Software Engineer, Geometric Generation

Posted Yesterday
Be an Early Applicant
4 Locations
Hybrid
139K-223K Annually
Mid level
Automotive
The Role
Design and own geometric map-generation algorithms that process large-scale lidar datasets into automated 3D maps for autonomous vehicles. Responsibilities include sensor optimization, pose-graph optimization, multimodal alignment, pipeline scalability, failure-mode analysis, algorithmic debugging, data-quality improvement, and integration with neighboring teams. The role requires strong C++ development, 3D geometry, point-cloud processing, linear algebra, numerical optimization, and probability expertise.
Summary Generated by Built In

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.

 

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.

  • 3+ years of professional software development experience in C++.

  • 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 $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.

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.

Skills Required

  • BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, or a related field, or equivalent practical experience
  • 3+ years of professional software development experience in C++
  • Hands-on experience with 3D geometry and point-cloud processing, including registration, ICP, scan matching, pose-graph optimization, nonlinear least-squares optimization, surface reconstruction, or lidar-based SLAM/mapping
  • Strong understanding of linear algebra, spatial transforms, numerical optimization, and probability
  • Experience debugging and improving data quality across large datasets or pipelines
  • 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 and performance optimization, such as Beam, Spark, or AWS batch compute
  • Familiarity with geospatial concepts, including coordinate frames, map projections, and tiling schemes
  • Proficiency in Python

Aurora Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Aurora and has not been reviewed or approved by Aurora.

  • Healthcare Strength — A broad set of medical plan options with dental and vision, plus company‑paid life and disability, signals strong healthcare support. Mental wellness access, including coaching and therapy sessions, further strengthens the offering.
  • Leave & Time Off Breadth — Flexible vacation for salaried employees, 12 paid holidays, and reasonable sick time indicate generous time‑off provisions. Some roles also accrue substantial vacation days annually.
  • Parental & Family Support — Paid parental leave and family‑forming reimbursement demonstrate meaningful support for growing families. Coverage for adoption, surrogacy, egg freezing, and genetic testing extends support beyond standard plans.

Aurora Insights

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The Company
HQ: Mountain View, CA
1,579 Employees
Year Founded: 2017

What We Do

Founded in 2017 by experts in the self-driving industry, Aurora is on a mission to deliver the benefits of self-driving technology safely, quickly, and broadly. To move both people and goods, the company is building the Aurora Driver, a platform that brings together software, hardware and data services to autonomously operate passenger vehicles, light commercial vehicles, and heavy-duty trucks. Aurora is backed by Sequoia Capital, Baillie Gifford, funds and accounts advised by T. Rowe Price Associates, among others, and is partnered with industry leaders including Toyota, Uber, Volvo, and PACCAR. Aurora tests its vehicles in the Bay Area, Pittsburgh, and Dallas. The company has offices in those areas as well as in Bozeman, MT; Seattle, WA; Louisville, CO; and Wixom, MI. To learn more, visit aurora.tech. Aurora is backed by Amazon and Sequoia, among others, and has partnerships with leading transportation companies including PACCAR, Uber, FCA, and Hyundai Group. It tests its vehicles in the Bay Area, Pittsburgh, and Dallas and has offices in those cities as well as in Bozeman, Seattle, Denver, and Detroit. Aurora hires people who want to build the future of transportation. Join us!

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