Senior Neural Simulation Architect

Decisive Point; Sunnyvale (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Applied Intuition, Inc. is seeking a senior software engineer to build the Neural Simulation backbone, turning real-world driving data into high-fidelity simulation environments. You will design and operate distributed systems powering reconstruction, data generation, and ML pipelines for autonomy systems.

The role emphasizes large-scale data processing, system design, and collaboration with Infra, Autonomy, Research, and other teams to deliver end-to-end solutions from data to deployment.

Qualifications

• 5+ years of experience shipping complex, large-scale software.
• Bachelor's degree in CS, CE, or equivalent practical experience.
• Proven track record designing, building, and operating scalable distributed systems, data pipelines, and data storage solutions.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerized systems (Docker, Kubernetes).
• Backend development in Python and Go.

Responsibilities

• Design and build scalable closed loop simulation systems using Neural Reconstruction.
• Architect systems that process and manage large-scale data.
• Develop infrastructure for ML workflows, including: training pipelines, evaluation/validation systems, model inference pipelines.
• Design and optimize storage solutions for structured, unstructured, and multimodal data (sensor, 3D, logs).
• Improve system reliability, observability, and performance across distributed services.
• Collaborate with Infra, Autonomy, Research and other product teams to deliver end-to-end solutions.
• Take ownership of critical systems and influence architecture and product decisions.

Skills

Distributed systems

Machine learning pipelines

Python

Go

Cloud platforms

Docker & Kubernetes

System design

Education

Bachelor's degree in CS/CE or related field

Job description

Applied Intuition, Inc. is seeking a senior software engineer to build the Neural Simulation backbone, turning real-world driving data into high-fidelity simulation environments. You will design and operate distributed systems powering reconstruction, data generation, and ML pipelines for autonomy systems.

The role emphasizes large-scale data processing, system design, and collaboration with Infra, Autonomy, Research, and other teams to deliver end-to-end solutions from data to deployment.