Senior Software Engineer Neural Simulation
Job description
You will design and operate scalable systems for neural simulation, data processing, storage, and machine-learning workflows. You will optimize distributed services, improve reliability and observability, and influence architecture and product decisions.
Responsibilities
- Design and build scalable closed-loop simulation systems
- Architect large-scale data processing and management systems
- Develop machine-learning training, evaluation, validation, and inference infrastructure
- Design and optimize multimodal data storage
- Improve distributed-service reliability, observability, and performance
- Deliver end-to-end solutions
- Own critical systems and influence architecture
Requirements
- 5+ years shipping complex large-scale software
- Experience designing and operating distributed systems, data pipelines, and data storage
- Cloud platform experience
- Docker and Kubernetes experience
- Python and Go backend development experience
- System design 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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