Software Engineer (Neural Simulation)

Join our team as a Software Engineer specializing in Neural Simulation. You will design and develop systems for large-scale reconstruction, synthetic data generation, and log augmentation. Your work will involve building and maintaining scalable systems, developing services and data pipelines, and contributing to infrastructure for ML workflows. This role is ideal for engineers looking to grow at the intersection of large-scale distributed systems and machine learning.

• Concevoir et développer des systèmes pour la reconstruction à grande échelle, la génération de données synthétiques et l'augmentation des journaux.
• Construire et maintenir des systèmes évolutifs pour la simulation neuronale, y compris la simulation en boucle fermée et les flux de travail d'augmentation des journaux.
• Collaborer étroitement avec les équipes d'infrastructure, d'autonomie, de recherche et d'autres équipes produit pour livrer des solutions de bout en bout.

• This role is ideal for engineers who want to grow at the intersection of large-scale distributed systems and machine learning, and who are excited to help scale a state-of-the-art product while building new capabilities that solve the hardest data and platform gaps in Physical AI
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized systems (Docker, Kubernetes)
• Solid software engineering fundamentals and strong problem-solving skills
• 2+ years of experience shipping production software
• A minimum of a 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 (such as SQL, NoSQL, or data lakes)
• Experience with backend development in languages such as Python and Go
• Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles
• Experience with synthetic data generation or data augmentation for ML
• Experience with GPU workloads and batch orchestration (e.g., Kubernetes jobs, Ray, Airflow)
• Experience building or supporting ML training and serving infrastructure
• Experience with distributed systems at scale
• Experience with autonomous driving or robotics systems
• Familiarity with computer vision, 3D reconstruction (e.g., Gaussian Splatting), or sensor simulation (camera, LiDAR, radar)