Software Engineer, Performance Engineering Optimization

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 Linked In .

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 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…