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Software Engineer, Behavior Planning

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Istss
Full Time position
Listed on 2026-06-04
Job specializations:
  • Software Development
    Software Engineer, Robotics
Salary/Wage Range or Industry Benchmark: 189000 - 303000 USD Yearly USD 189000.00 303000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer, Behavior Planning

Company Name:
Aurora Operations, Inc.

Job Location:

280 N Bernardo Ave., Mountain View, CA 94043

Job title:

Staff Software Engineer, Behavior Planning

Minimum Salary: $189,000 - $303,000

Education:

Master’s degree in Machine Learning, Robotics, Applied Mathematics, or related

SOC Code: 17-2199.08

SOC Occupation

Title:

Robotics Engineers

Duration:
Regular Hire

Work week:
Full-time

Supervision Experience

Required:

No

Travel:
No

Qualifications
  • 5 years of experience with Robotics or related.
  • Deep domain expertise and strong software engineering experience in the field of autonomous driving.
  • Strong programming and software design skills in C++ and Python.
  • Expertise with CUDA and PyTorch.
  • Demonstrated experience in designing, building, and product ionizing motion planning algorithms.
  • Demonstrated experience with statistical techniques for machine learning.
  • Experience with the development of simulation engines.
  • Demonstrated cross‑functional team experience in a software engineering environment.
  • Demonstrated experience leading complex, cross‑functional software engineering projects.
  • Demonstrated ability to architect systems that meet strict safety, latency, and reliability requirements.
Responsibilities
  • Develop real‑time robotic algorithms for selecting safe and comfortable trajectories for a self‑driving vehicle.
  • Design, develop, and implement production‑grade software in C++ and Python for the Aurora Driver, using modern best practices.
  • Contribute to engineering best practices on a large and complex code base.
  • Provide technical leadership for the architectural elements of online and offline systems for evaluating good trajectories.
  • Drive ambitious technical projects across behavior planning and autonomy teams.
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