Applied
Senior Software Engineer - Neural Simulation
Sunnyvale. Posted a month ago
The role
You will design and develop systems for Neural Simulation to turn real-world driving data into high-fidelity simulation environments. This involves building scalable closed loop simulation systems, ML workflows, and large-scale data processing architectures.
What you will do
- 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 and validation systems, and model inference pipelines
- Design and optimize storage solutions for structured, unstructured, and multimodal data
- Improve system reliability, observability, and performance across distributed services
- Collaborate with Infra, Autonomy, Research and other product teams
- Take ownership of critical systems and influence architecture and product decisions
Required qualifications
- 5+ years of experience shipping complex, large-scale software
- Bachelor's degree in computer science, computer engineering, or equivalent practical experience
- Proven track record of designing, building, and operating scalable distributed systems, data pipelines, and data storage solutions
- Experience with cloud platforms (AWS, GCP, or Azure)
- Experience with containerized systems (Docker, Kubernetes)
- Experience with backend development in Python and Go
- Strong system design and problem-solving skills
Nice to have
- Experience building or supporting ML training and serving infrastructure
- Experience with GPU workloads and large-scale batch orchestration (e.g., Kubernetes jobs, Ray, Airflow)
- Experience with synthetic data generation or data augmentation for ML
- Familiarity with computer vision, 3D reconstruction (e.g., Gaussian Splatting), or sensor simulation (camera, LiDAR, radar)
- Experience with autonomous driving or robotics systems
About the company
Applied Intuition, Inc. is a Silicon Valley company creating digital infrastructure for physical AI. It services the automotive, defense, trucking, construction, mining and agriculture industries.