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 Senior Software Engineer, Perception to join our autonomous driving team. In this role, you will collaborate closely with cross-functional engineering teams to design and deploy state-of-the-art machine learning models directly onto our real-time vehicle platform. This is an exciting opportunity to solve complex, high-impact autonomy challenges and directly shape the future of the Aurora Driver.
In this role, you will
- Develop and Optimize Core Perception Solutions: Research and develop state-of-the-art deep learning and machine learning models to improve perception under challenging scenarios, such as long-range multi-sensor detection and degraded sensor conditions.
- Tackle End-to-End Autonomy Challenges: Address object detection, tracking of traffic actors, action recognition, and semantic understanding of diverse traffic scenes.
- Deploy Production-Ready Software: Guide software development from initial prototype to production deployment on a real-time AV platform, leveraging large-scale data sets for training and analysis.
- Collaborate and Iterate: Partner with team members to diagnose, analyze, and resolve failure modes encountered during on-road and simulated testing to produce robust, well-tested systems.
- Scale ML Engineering Pipelines: Build and scale robust ML pipelines to facilitate quick experimentation as well as large-scale training and testing.
Required Qualifications
- BS, MS, or PhD in Computer Science, Robotics, Engineering, or a related field with a strong foundation in one or more focus areas of ML, including deep learning, computer vision, recursive state estimation, structured prediction, and optimization.
- 6+ years of research-based or professional experience with C++ and Python.
- Comprehensive grasp of linear algebra, discrete/continuous optimization, supervised/unsupervised methods, and generative/discriminative models.
- Strong publication record at top-tier robotics/computer vision conferences/journals, or significant industry experience in relevant fields (robotics, computer vision, self-driving technology)
Desirable Qualifications
- Experience utilizing deep learning frameworks such as PyTorch or TensorFlow.
- Advanced production-level knowledge of C++ is highly preferred.
- Prior experience applying computer vision and machine learning directly to complex robotics problems.
- Experience deploying computer vision/ML models at scale across large physical fleets.
- Proven ability to work effectively in environments requiring close cross-team collaboration.
- Experience working with 3D data, including 3D object detection, tracking, semantic segmentation, or processing point clouds from LiDAR, Radar, and multi-camera system
The base Salary range for this position is $162,000 - $260,000. 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-td-1 #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.
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 [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, Engineering, or a related field
- Strong foundation in ML focus areas: deep learning, computer vision, recursive state estimation, structured prediction, optimization
- 6+ years of research-based or professional experience with C++ and Python
- Comprehensive grasp of linear algebra, discrete/continuous optimization, supervised/unsupervised methods, and generative/discriminative models
- Strong publication record at top-tier robotics/computer vision conferences/journals, or significant industry experience in robotics, computer vision, or self-driving technology
- Experience utilizing deep learning frameworks such as PyTorch or TensorFlow
- Advanced production-level knowledge of C++
- Prior experience applying computer vision and machine learning to complex robotics problems
- Experience deploying computer vision/ML models at scale across large physical fleets
- Experience working with 3D data: 3D detection, tracking, segmentation, and processing point clouds from LiDAR, Radar, and multi-camera systems
- Proven ability to work effectively in close cross-team collaboration environments
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.
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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.
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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.
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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
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!
