AI-Driven Simulation Engineer—Autonomy & AV Scenarios

Medium; Santa Clara (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Catered free lunch

Unlimited snacks and beverages

401(k) plan

Job summary

PlusAI, located in Santa Clara, California, is seeking a talented individual to join its Scenario Simulation team. In this role, you will design scalable ML workflows for autonomous vehicle (AV) simulations, contribute to innovative tooling, and enhance the simulation framework's reliability and performance.

The ideal candidate has an MS or higher in Computer Science, proficient in modern C++ and Python, and has experience with machine learning libraries. Compensation ranges from $120,000 to $150,000 annually, complemented by a highly competitive benefits package.

Qualifications

• MS or higher degree in Computer Science, Machine Learning, or related field.
• Good development skills in modern C++ and Python.
• Proficiency in ML libraries and experience in transformer and diffusion architectures.
• Basic understanding of generative models.

Responsibilities

• Design scalable ML workflows for generating AV scenarios.
• Contribute to tooling for migrating traditional approach to AI-based scenario understanding.
• Own the development and upkeep of the simulation framework.
• Collaborate directly with internal customers and partner teams.
• Tackle simulation and autonomy evaluation challenges.
• Create software for behavior, pathfinding, and collision detection.

Skills

Development skills in modern C++

Development skills in Python

Proficiency in ML libraries

Understanding of generative models

Education

MS or higher degree in Computer Science, Machine Learning, or related field

Job description

PlusAI, located in Santa Clara, California, is seeking a talented individual to join its Scenario Simulation team. In this role, you will design scalable ML workflows for autonomous vehicle (AV) simulations, contribute to innovative tooling, and enhance the simulation framework's reliability and performance.

The ideal candidate has an MS or higher in Computer Science, proficient in modern C++ and Python, and has experience with machine learning libraries. Compensation ranges from $120,000 to $150,000 annually, complemented by a highly competitive benefits package.