About the role and teamWe are looking for senior software engineers to build the backbone of Neural Simulation, our state-of-the-art product for turning real-world driving data into high-fidelity simulation environments. As part of this team, you will design and develop the systems that power large-scale reconstruction, synthetic data generation, and log augmentation, along with the ML pipelines used to train and validate autonomy systems. You will work on highly distributed systems that transform real-world data into simulation environments and generate high-quality labeled data at scale, where careful system design across compute, storage, and data pipelines is essential.
This role is ideal for engineers who thrive at the intersection of large-scale distributed systems and machine learning, and who are excited to scale a state-of-the-art product while building new capabilities that solve the hardest data and platform gaps in Physical AI.
At Applied Intuition, you will:- 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
- 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
We're looking for someone who has:- 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 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
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.
We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions
