Robot Simulation - Software Engineer

Avride

Austin (TX)

On-site

USD 80,000 - 120,000

Full time

14 days+

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Job summary

A technology startup specializing in autonomous vehicles is seeking a software engineer to join their robot simulation team. You will design a hybrid simulation framework that combines real-world data with synthetic environments, enabling large-scale testing of autonomous algorithms. Ideal candidates should have experience in simulation frameworks and strong programming skills, particularly in C. This role offers a chance to impact the future of transportation.

Qualifications

  • Experience with simulation frameworks and real-world data integration.
  • Strong programming skills, especially in C or C++.
  • Familiarity with machine learning and motion planning.

Responsibilities

  • Design and implement core components for a hybrid simulator.
  • Develop integration methods for sensor data and behavior models.

Skills

Hybrid simulation design
Real-world data integration
C programming
Machine learning algorithms

Job description

About The Team

Avride is an autonomous driving company with the mission to make transportation safer and more efficient through cutting‑edge technology. We hold a unique position in the market, developing self‑driving taxis and delivery robots. Our delivery robot division already has production in the US and Japan. Our compact team consists of highly talented engineers with extensive expertise. Joining us means diving into a startup atmosphere and making a significant impact on the company’s results and the autonomous industry as a whole.

About The Role

We are seeking a software engineer to join our robot simulation team. You will work on building a hybrid simulation framework that combines real‑world data with synthetic environments. This includes simulating at the sensor level (e.g., LiDAR point clouds) as well as integrating behavioral cloning models into the simulation pipeline. Your work will enable realistic, large‑scale testing of motion planning and ML‑based control algorithms in diverse urban conditions.

What You’ll Do
  • Design and implement core components of a scalable hybrid simulator that blends real‑world map and ride data with synthetic content.
  • Develop efficient C …
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