Software Engineer Neural Simulation
Job description
You will build and maintain systems for neural simulation and log augmentation. You will develop data services and pipelines, support machine-learning workflows, optimize multimodal storage, improve distributed-service performance, and own features from design through deployment.
Responsibilities
- Build and maintain neural simulation and log augmentation systems
- Develop large-scale data services and pipelines
- Contribute to machine-learning training, evaluation, validation, and inference infrastructure
- Implement and optimize multimodal data storage
- Improve distributed-service reliability, observability, and performance
- Deliver end-to-end solutions
- Own features from design through deployment
Requirements
- 2+ years shipping production software
- Experience building backend services or data pipelines
- Experience with SQL, NoSQL, or data lakes
- Cloud platform familiarity
- Docker and Kubernetes familiarity
- Python and Go backend development experience
- Software engineering and problem-solving skills
Benefits
- Equity
- Occasional remote-work flexibility
Skills mentioned
Applied Intuition is a vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, the firm offers a comprehensive Vehicle OS, self-driving system, and toolchain that enable automakers, defense contractors, and heavy-industry players to design, test, and deploy autonomous vehicles more quickly. With a valuation of $15 billion after its Series F round, Applied Intuition’s solutions are trusted by 18 of the world’s 20 leading automakers and major defense programs. The company’s global footprint—headquartered in Mountain View with offices across the U.S., Europe, and Asia—supports its mission to deliver cutting-edge AI and engineering tools across automotive, defense, trucking, construction, mining, and agriculture sectors.
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