Staff Software Engineer, Motion Planning: ML Training Infrastructure

Who We Are

Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below.

Aurora (Nasdaq : AUR) is delivering the benefits of self-driving technology safely, quickly, and broadly to make transportation safer, increasingly accessible, and more reliable and efficient than ever before.

The Aurora Driver is a self-driving system designed to operate multiple vehicle types, from freight-hauling semi-trucks to ride-hailing passenger vehicles, and underpins Aurora Horizon and Aurora Connect, its driver-as-a-service products for trucking and ride-hailing.

Aurora is working with industry leaders across the transportation ecosystem, including Toyota, FedEx, Volvo Trucks, PACCAR, Uber, Uber Freight, U.

S. Xpress, Werner, Covenant, Schneider, and Ryder. For Aurora’s latest news, visit aurora.tech and @aurora inno on Twitter.

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 Staff Software Engineer to join Aurora’s Motion Planning Learning team. Our team is responsible for building state-of-the-art Motion Planning machine learning models.

The tools we build are mission-critical in allowing our ML modeling teams to explore data, train, and evaluate ML models for our autonomy platform.

In this role, you will

• Develop large scale distributed training models and systems across multiple GPUs
• Collaborate closely with motion planning, systems engineering, and other autonomy groups to define and develop critical ML workflow requirements.
• Define new code designs and publish technical design documents

Required Qualifications

• BS / MS / PhD in Computer Science or related field
• 10+ years of industry experience in full-cycle software development
• Deep experience with large scale distributed systems and training models (preferably with vision and language models)
• Experience with ML or data platforms
• Strong programming skills in Python or C++
• A passion for writing robust, intuitive, high-performance code
• Ability to navigate and work effectively in large codebases

Desirable Qualifications

• Strong programming skills in both C++ and Python
• Machine learning model development experience
• PyTorch, Numpy and Pandas

The base salary range for this position is $189K - $302K 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 have offices in several locations across the United States, where we encourage team and cross-functional collaboration.

Aurora offers competitive medical, dental, and vision benefits, and additional healthcare support including medical transportation reimbursement, fertility, adoption, and surrogacy benefits.

We empower our employees and their families with options to further their unique physical, mental, and financial well-being.

Our Learning and Development offerings include Aurora Academy, where our people learn, develop, and practice the essential skills that drive Aurora’s mission, continually up-leveling our team along the way.

Safety is central to everything we do. Every employee at Aurora has a role in contributing to safety, every step of the way.

We seek candidates who take active responsibility, can contribute to building an atmosphere of trust, and invest in the organization's long-term success by working safely no matter what.

Aurora is committed to providing access to anyone who seeks information from our website. We invite anyone using assistive technologies, such as a screen reader or Braille reader, to email us at careersiteaccommodations@aurora.

tech if they experience difficulty using our website. Please describe the accessibility problem and include a URL (if available).

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.

Diversity, Equity and Inclusion

At Aurora, every employee is empowered to take an active role in building an inclusive, collaborative, and unified culture that leverages our diverse strengths, perspectives, and backgrounds.

Transforming how the world moves people and goods involves seeking to understand backgrounds, insights, and lived experiences that differ from our own.

One way we accomplish that is with our 15 employee-led Aurora Unified Groups, which support diverse voices and drive inclusive collaboration.

We believe that teamwork, belonging, and trust motivate and support our employees to do their best work. As our team grows, we strive to attract and retain exceptional talent that adds new perspectives and experiences and continues to drive innovation.

Learn more on our Culture Page.

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