Job description

Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver aurora.tech 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 aurora.tech or follow us on LinkedIn linkedin.com. What we are looking for We’re searching for a Software Engineer for our Performance Engineering Optimization (PEO) team. The PEO team aims to empower Aurorans to reduce onboard software latency & improve hardware utilization by: - Building production-level tooling & processes to ensure software performs as required. - Provide for rapid robotic software performance experimentation through data-driven feedback loops. - Building tooling to discover & diagnose software & hardware performance problems. - Help autonomy engineers determine the cause and effect relationship between onboard events. In this role, you will - Create and contribute to tooling that probes, collects & processes monumental amounts of performance data both on-vehicle & in-simulation. - Design, build, and maintain robust, cost-effective data pipelines and processing systems that ingest and transform data across sources into our warehouse, supporting downstream tools for performance visualization and analysis - Collaborate cross functionally with engineers in various domains within Aurora, including Autonomy, Sensing, Vehicle Platform Infrastructure on optimization efforts. Required Qualifications - C++ or Python programming and software design skills. - Knowledge of ETL pipelines. - Ability to apply statistical and ML methods for data analysis. - Experience and knowledge of Linux fundamentals. - BS or MS in Robotics, Computer Science or a related field with 1-3 years of professional experience. Desirable Qualifications - Knowledge and interest in cloud storage, cloud based data pipelines. - Experience in data science and data engineering on cloud platforms. - Familiarity with Linux OS fundamentals and basic concepts of performance optimization for soft real-time systems. The base salary range for this position is $116,000 - $174,000 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 aurora.tech provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom aurora.tech. 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 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.

Requirements

Must-haves

C++ or Python programming and software design skills.
Knowledge of ETL pipelines.
Ability to apply statistical and ML methods for data analysis.
Experience and knowledge of Linux fundamentals.
BS or MS in Robotics, Computer Science or a related field with 1-3 years of professional experience.
Desirable Qualifications
Knowledge and interest in cloud storage, cloud based data pipelines.
Experience in data science and data engineering on cloud platforms.
Familiarity with Linux OS fundamentals and basic concepts of performance optimization for soft real-time systems.
Working at Aurora
Our Careers page https://aurora.tech/careers provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom https://aurora.tech/newsroom.
Our commitment to safety
Our commitment to inclusion
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonml

Platform: ashby
Effort: quick