Staff Software Engineer, Continuous Learning

Aurora; San Francisco (CA); On-site; USD 189,000 - 303,000; Full time

Job summary

Aurora is seeking a Staff Software Engineer for their Autonomy Data team to enhance dataset quality and collaborate on innovative projects.

In this role, you will apply your expertise in Python and C++ to improve model training processes and work with diverse teams to implement cutting-edge solutions. This position offers a base salary between $189,000 and $303,000 per year, along with potential bonuses and equity.

Qualifications

• BS in Computer Science, or a related field.
• Excellent Python, Proficient C++ programming and software design skills.
• Experience with storage and database management systems like SQL, no-SQL.
• Knowledge in computer vision, LLMs, or deep learning.

Responsibilities

• Improve dataset quality using evaluation mechanisms.
• Expand model approach for sourcing events to millions of miles.
• Own training and inference pipelines for core models.
• Collaborate across teams to drive projects.

Skills

Python

C++

Cloud environment experience

Database management systems

Computer vision

Education

BS in Computer Science or related field

Tools

AWS

GCP

Azure

PyTorch

Job description

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 Staff Software Engineer on the Autonomy Data: Continuous Learning team. The ideal candidate will have a passion for diving into our models and datasets. You will leverage state of the art foundation models as well as RLHF techniques to improve models with high quality data and build the datasets that power the Aurora Driver.

In this role, you will

• Improve our dataset quality by establishing semi-automated evaluation mechanisms leveraging state of the art models as well as RLHF techniques
• Expand our foundation model approach for sourcing interesting events to millions of miles
• Own model training and inference pipelines for all core Autonomy models
• Collaborate across teams and functions (product, program, operations, data science) to drive projects from inception to delivery

Required Qualifications

• BS in Computer Science, or a related field
• Excellent Python, Proficient C++ programming and software design skills
• Experience with storage and database management systems (e.g., one of SQL, no-SQL, protobuf, parquet, HDFS)
• Experience working in a cloud environment (e.g., AWS, GCP, Azure, etc)
• Knowledge and experience in at least one of computer vision, LLMs, or deep learning for other applications

Desirable Qualifications

• Excellent C++ programming and software design skills
• Distributed System design patterns (high availability, scaling, load balancing, caching, sharding etc.)
• PyTorch and GPU programming experience

The base salary range for this position is $189,000-$303,000 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.

EEO Statement

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 [e-mail].

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.