Software Engineer, Neural Simulation & Data Pipelines

Applied Intuition; Sunnyvale (CA); On-site; USD 160,000 - 185,000; Full time

Job summary

Applied Intuition, Inc. in Sunnyvale, CA, is hiring software engineers to build our Neural Simulation backend, turning real-world driving data into high-fidelity simulation environments.

You will design and implement distributed systems, data pipelines, and ML workflows that power large-scale reconstruction, synthetic data generation, and log augmentation. The role emphasizes ownership end-to-end, collaboration with Infra, Autonomy and Research teams, and deployment to production.

Qualifications

• Bachelor's degree in CS/CE or equivalent practical experience.
• 2+ years shipping production software.
• Experience building backend services and data pipelines.
• Familiarity with cloud platforms and containerized systems.
• Proficiency in Python and Go.

Responsibilities

• Build and maintain scalable systems for Neural Simulation.
• Develop data pipelines and services for large-scale data.
• Contribute to ML workflows and model inference pipelines.
• Improve storage solutions for structured, unstructured, and multimodal data.
• Collaborate with Infra, Autonomy, Research and product teams to deliver end-to-end solutions.
• Own features and components end-to-end from design through deployment.

Skills

Backend development

Data pipelines

Python

Go

Distributed systems

Problem solving

Education

Bachelor's degree in Computer Science or Computer Engineering

Tools

SQL/NoSQL/Data Lakes

Docker

Kubernetes

AWS/GCP/Azure

Job description

Applied Intuition, Inc. in Sunnyvale, CA, is hiring software engineers to build our Neural Simulation backend, turning real-world driving data into high-fidelity simulation environments.

You will design and implement distributed systems, data pipelines, and ML workflows that power large-scale reconstruction, synthetic data generation, and log augmentation. The role emphasizes ownership end-to-end, collaboration with Infra, Autonomy and Research teams, and deployment to production.