Software Engineer, Simulation
At a glance
Mid-level Software Engineering role at PlusAI. Santa Clara · full-time · $120,000–$150,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build machine-learning workflows that create autonomous-vehicle scenarios, from traffic simulations to scenarios described in natural language
- Help shift scenario creation from traditional methods toward AI-based understanding and validation
- Maintain and improve the simulation framework so it performs reliably for technical teams
- Work with internal users and partner teams to solve their test-creation needs
- Develop simulation software for areas such as pathfinding, road networks, collision detection and vehicle dynamics
What you bring
- A graduate degree in computer science, machine learning or a related discipline
- Strong development ability with modern C++ and Python
- Working knowledge of machine-learning libraries, transformer and diffusion architectures, and generative models
Who this fits
This mid-level role suits a software engineer focused on simulation, machine learning and autonomous-vehicle evaluation. The position is hybrid in Santa Clara.
From the employer
About the role: The Scenario Simulation team is responsible for building a simulation engine that simulates the systems downstream of the perception system. The team works on realistic actor behaviors and other infrastructure tooling for generating diverse scenarios to validate Autonomy. You will have an opportunity to drive immediate user value while architecting advanced, AI-powered frameworks for long-term safety validation.
Responsibilities:
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Design scalable ML workflows for generating AV scenarios - ranging from traffic simulations to synthetic scenario creation from a natural language specification.
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Contribute to tooling for migrating scenario creation using the traditional approach to AI-based scenario understanding and validation
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Own the development and upkeep of the simulation framework, driving its reliability and performance to unblock all technical stakeholders.
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Collaborate directly with internal customers and partner teams to provide solutions for their test creation workflows.
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Have an opportunity to tackle simulation and autonomy evaluation challenges across various areas of the autonomy system, including motion planning, mapping, Controls.
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Create and extend software for behavior, pathfinding, road networks, spatial queries, collision detection, vehicle control, vehicle dynamics, etc.
Required Qualifications:
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MS or higher degree in Computer Science, Machine Learning, or related field
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Good development skills in modern C++ and Python
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Proficiency in ML libraries and experience in transformer and diffusion architectures
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Basic understanding of generative models
Desirable Qualifications:
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2+ years of Industry experience in ML and C++ software
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Familiarity with AV simulation environments and driving datasets
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