Senior Software Engineer - Labels Platform
Aurora Innovation (View all Jobs)
Mountain View, California
Interview Process
1. Simplified real-world coding task on Coderpad.io 2. Time-boxed take-home assignment 3. Face-to-face meeting with teammates.
Salary
$144,000-$216,000
Programming Languages Mentioned
JavaScript, C++, SQL, Golang, Python
Who We Are
Aurora’s mission is to deliver 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 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'll solve massively complex problems alongside other passionate, smart people, growing as an expert while broadening your field of knowledge. For Aurora’s latest news, 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 Software Engineer - Autonomy Data: Labels Platform.
Our team is responsible for production services supporting high volume data labeling operations. We also provide data models and service interfacing supporting a variety of autonomy data consumers. Autonomy performance is directly dependent on data quality, selection, and volume. On this team you will have opportunities to work on projects that are mission-critical for the company. You will also have the opportunity to develop innovative industry-leading ML Ops solutions. Aurora is uniquely positioned to lead in this space due to its end-to-end data collection, labeling, model training and evaluation toolchain.
In this role, you will
- Apply production best practices to ensure platform reliability
- Feature development for new labeling applications
- Collaborate across teams and functions (product, program, operations, data science) to drive projects from inception to delivery
- Apply ML Ops best practices to design processes for improving data coverage and quality
Required Qualifications
- BS / MS / PhD degree in Computer Science or a related field
- For non-CS majors or BS candidates, strong software experience (4+ years in industry)
- Expertise with production backend services (Cloud, Kubernetes, DevOps)
- Experience with C++ and Python
Desirable Qualifications
- Relevant domain knowledge: data annotation, autonomous driving, computer vision, robotics, mapping, numerical computing, 3D graphics
- Specific technology: AWS, Terraform, Bazel, Docker, Kubernetes, gRPC, SQL, Elasticsearch
- Supplementary programming languages: Golang, Typescript
The base salary range for this position is $144,000-$216,000 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.
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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 careersiteaccommodations@aurora.tech.
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.
To learn more about life at Aurora please visit our company culture page.
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