Senior Software Engineer, Neural Simulation Data Pipelines

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

Job summary

Applied Intuition, Inc. is seeking senior software engineers to build the backbone of Neural Simulation, our high-fidelity data-to-simulation platform.

You will design and develop distributed systems, data pipelines, and ML workflows to transform real-world driving data into scalable simulation environments. You will collaborate with Infra, Autonomy, Research and product teams, own critical systems, and help scale a state-of-the-art product for physical AI, including storage, compute, and

Qualifications

• 5+ years of experience shipping complex, large-scale software systems.
• Bachelor's degree in computer science, computer engineering, or equivalent.
• Proven track record designing, building, and operating scalable distributed systems and data pipelines.
• Experience with cloud platforms and containerized systems (Docker/Kubernetes).
• Backend development in Python and Go; strong system design skills.

Responsibilities

• Design and build scalable closed-loop simulation systems.
• Architect systems to process and manage large-scale data.
• Develop infrastructure for ML workflows: training, evaluation, and model inference.
• Design and optimize storage for structured, unstructured, and multimodal data.
• Improve reliability, observability, and performance across distributed services.
• Collaborate with Infra, Autonomy, Research and product teams; own critical systems.

Skills

Distributed systems

Python

Go

Data pipelines

Problem solving

Education

Bachelor's degree in Computer Science/Engineering or equivalent

Tools

Docker

Kubernetes

AWS

GCP

Azure

Job description

Applied Intuition, Inc. is seeking senior software engineers to build the backbone of Neural Simulation, our high-fidelity data-to-simulation platform.

You will design and develop distributed systems, data pipelines, and ML workflows to transform real-world driving data into scalable simulation environments. You will collaborate with Infra, Autonomy, Research and product teams, own critical systems, and help scale a state-of-the-art product for physical AI, including storage, compute, and