Performance Optimization Software Engineer

Aurora; Mountain View (CA); On-site; USD 116,000 - 174,000; Full time

Benefits offered by this job

Annual bonus

Equity compensation

Benefits

Job summary

Aurora is seeking a Software Engineer for the Performance Engineering Optimization (PEO) team to reduce onboard software latency and improve hardware utilization. You will build tooling to collect and process vast performance data both on-vehicle and in simulation, shaping data pipelines and analytics for performance visualization.

The role requires C++ or Python proficiency, ETL knowledge, ML/data analysis skills, and a CS/Robotics-related degree with 1–3 years of experience.

Qualifications

• Proficient in C++ or Python programming and software design.
• Knowledge of ETL pipelines.
• Ability to apply statistical and ML methods for data analysis.
• Experience with Linux Fundamentals.
• Degree in Robotics, CS or related field with 1–3 years of professional experience.

Responsibilities

• Create and contribute to tooling that probes, collects & processes large performance data on-vehicle and in-simulation.
• Design, build, and maintain robust data pipelines and processing systems feeding into data warehouse and visualization/analysis tools.
• Collaborate cross-functionally with Autonomy, Sensing and Vehicle Platform Infrastructure teams on optimization efforts.

Skills

C++

Python

ETL pipelines

Statistical ML methods

Linux fundamentals

Education

BS or MS in Robotics, Computer Science or related field

Job description

Aurora is seeking a Software Engineer for the Performance Engineering Optimization (PEO) team to reduce onboard software latency and improve hardware utilization. You will build tooling to collect and process vast performance data both on-vehicle and in simulation, shaping data pipelines and analytics for performance visualization.

The role requires C++ or Python proficiency, ETL knowledge, ML/data analysis skills, and a CS/Robotics-related degree with 1–3 years of experience.