Neural Simulation Engineer - Scale Data & ML Pipelines

Telemetry Today LLC; Sunnyvale, Northern (CA, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Applied Intuition, Inc. is building the Neural Simulation backbone to transform real-world driving data into high-fidelity simulation environments.

You will design and develop systems powering reconstruction, data generation, and ML pipelines across compute, storage, and data workflows. This role suits engineers who want to scale a state-of-the-art product and collaborate with senior teams to solve hard data and platform gaps in Physical AI.

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.

Responsibilities

• Build and maintain scalable systems for Neural Simulation.
• Develop services and data pipelines that process and manage large-scale data.
• Contribute to infrastructure for ML workflows, including evaluation and validation systems.
• Implement and optimize storage for structured, unstructured, and multimodal data.
• Improve system reliability, observability, and performance across distributed services.
• Collaborate closely with Infra, Autonomy, Research and other product teams to deliver end-to-end solutions.
• Own features and components end to end, from design through deployment, and contribute to architecture discussions.

Skills

Backend development

Python

Go

Data pipelines

Cloud platforms

SQL/NoSQL

ML workflows

Education

Bachelor's degree in CS/CE

Tools

Docker

Kubernetes

AWS

GCP

Azure

Job description

Applied Intuition, Inc. is building the Neural Simulation backbone to transform real-world driving data into high-fidelity simulation environments.

You will design and develop systems powering reconstruction, data generation, and ML pipelines across compute, storage, and data workflows. This role suits engineers who want to scale a state-of-the-art product and collaborate with senior teams to solve hard data and platform gaps in Physical AI.