Senior Software Engineer - Neural Simulation
About The Position
Applied Intuition, Inc. is seeking senior software engineers to build the backbone of Neural Simulation, a state-of-the-art product for transforming real-world driving data into high-fidelity simulation environments. The team designs and develops systems for large-scale reconstruction, synthetic data generation, and log augmentation, as well as ML pipelines for training and validating autonomy systems. This role involves working on highly distributed systems that process real-world data into simulation environments and generate high-quality labeled data at scale, requiring careful system design across compute, storage, and data pipelines. This position is ideal for engineers who excel at the intersection of large-scale distributed systems and machine learning, and who are eager to scale a cutting-edge product while developing new capabilities to address significant data and platform challenges in Physical AI.
Requirements
- 5+ years of experience shipping complex, large-scale software
- A minimum of a Bachelor's degree in computer science, computer engineering, or equivalent practical experience
- A proven track record of designing, building, and operating scalable distributed systems, data pipelines, and data storage solutions (such as SQL, NoSQL, vector databases, or data lakes)
- Experience with cloud platforms (AWS, GCP, or Azure) and containerized systems (Docker, Kubernetes)
- Experience with backend development in languages such as Python and Go
- Strong system design and problem-solving skills
Nice To Haves
- 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
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 and validation systems, and model inference pipelines
- Design and optimize storage solutions for structured, unstructured, and multimodal data (e.g., sensor, 3D, logs)
- 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
- Take ownership of critical systems and influence architecture and product decisions
Benefits
- Equal opportunity employer
- Federal contractor or subcontractor compliance
- Prohibition of discrimination based on protected veteran status or disability
- Prohibition of discrimination based on race, color, religion, sex, sexual orientation, gender identity or national origin
- Affirmative action to employ and advance individuals without regard to protected characteristics
- Notice of employee rights under federal labor laws
- Accessible and inclusive application and interview experience for disabled veterans and applicants with disabilities or medical conditions
- Reasonable accommodations available for application and interview process
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What This Job Offers
Job Type
Full-time
Career Level
Senior
