Software Engineer - Planning

Avride

Austin (TX)

On-site

USD 100,000 - 150,000

Full time

14 days+

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Job summary

A tech company focused on autonomous systems seeks a Software Engineer to design and implement motion planning algorithms for autonomous vehicles. Candidates should have a degree in Computer Science or Robotics, programming skills in C++ and Python, and a strong problem-solving background. This role offers a salary range of $100,000 to $150,000 and is located in Austin, Texas.

Qualifications

Strong programming skills in C++ and Python.
Background in developing and optimizing algorithms for real-time systems.
Ability to collaborate effectively in cross-functional teams.

Responsibilities

Design and implement motion planning algorithms for autonomous navigation.
Develop systems that enhance motion stability, autonomy, and safety.
Analyze real-world driving data to refine vehicle planning and decision-making.

Skills

C++

Python

Cross-functional collaboration

Problem-solving

Education

Bachelor’s or Master’s degree in Computer Science, Robotics, or related field

Tools

GPU programming (CUDA)

Robotics frameworks (ROS)

Job description

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About The Team

The Motion Planning team at Avride is at the core of developing intelligent systems that allow autonomous vehicles to move safely and efficiently through complex environments. We are a highly collaborative group of engineers and researchers working to push the boundaries of vehicle autonomy by designing real-time motion planning solutions.

About The Role

As a Software Engineer on the Motion Planning team, you will play a key role in designing and implementing systems that determine how our vehicles move through the world. You’ll develop advanced planning algorithms, optimize vehicle trajectories, and contribute to the real-time performance and safety of our autonomous systems.

What You'll Do

Design and implement motion planning algorithms for autonomous navigation
Develop systems that enhance motion stability, autonomy, and safety
Analyze real-world driving data to refine vehicle planning and decision-making
Collaborate with cross-functional teams to improve vehicle behavior and system performance
Optimize algorithms for real-time operation under computational constraints on onboard platforms
Implement metrics for evaluating the quality of planning algorithms and safe vehicle operation

What You'll Need

Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field
Strong programming skills in C++ and Python
Background in developing and optimizing algorithms for real-time systems
Ability to collaborate effectively in cross-functional teams
Strong problem-solving skills, with the ability to analyze and improve algorithm performance

Nice to Have

Understanding of motion planning and navigation algorithms
Experience with GPU programming and optimization using CUDA or similar technologies
Familiarity with trajectory optimization techniques or similar constrained optimization problems
Background in numerical methods or optimization libraries (e.g., Ceres, IPOPT, CasADi)
Experience with robotics frameworks such as ROS

Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.

Seniority level