Neural Simulation Engineer: Scale AI Data Pipelines

applied; Sunnyvale (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Applied Intuition, Inc. is seeking software engineers to build the Neural Simulation backbone that turns real-world driving data into high-fidelity simulation environments.

You will design and develop systems for reconstruction, synthetic data generation, and ML pipelines, partnering with senior engineers on compute, storage and data pipelines. This role fits those who want to grow at the intersection of distributed systems and machine learning, helping scale a state-of-the-art product while

Qualifications

• 2+ years of experience shipping production software.
• Bachelor's degree in computer science, computer engineering, or equivalent practical experience.
• Experience building backend services or data pipelines, and working with data storage systems (SQL/NoSQL/data lakes).
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized systems (Docker, Kubernetes).
• Experience with backend development in Python and Go.
• Solid software engineering fundamentals and problem-solving skills.

Responsibilities

• Build and maintain scalable systems for Neural Simulation and workflows.
• Develop services and data pipelines handling large-scale data.
• Contribute to infrastructure for ML workflows: training pipelines, evaluation/validation, and model inference pipelines.
• Implement and optimize storage solutions for structured and unstructured data (sensor, 3D, logs).
• Improve reliability, observability, and performance across distributed services.
• Collaborate with Infra, Autonomy, Research and product teams to deliver end-to-end solutions.
• Own features end-to-end from design through deployment.

Skills

Backend development

Python

Go

Distributed systems

Data pipelines

Problem solving

Education

Bachelor's degree in CS/CE or equivalent

Tools

Docker

Kubernetes

SQL/NoSQL

Data lakes

Job description

Applied Intuition, Inc. is seeking software engineers to build the Neural Simulation backbone that turns real-world driving data into high-fidelity simulation environments.

You will design and develop systems for reconstruction, synthetic data generation, and ML pipelines, partnering with senior engineers on compute, storage and data pipelines. This role fits those who want to grow at the intersection of distributed systems and machine learning, helping scale a state-of-the-art product while