Software Engineer - Neural Simulation
Join Applied Intuition as a Software Engineer to build scalable systems for Neural Simulation in a collaborative environment.
Posted by employer 17 hours ago
First seen on Joblaze 4 hours ago
Last verified on the company career page 4 hours ago
What you'll build
- Build and maintain scalable systems for Neural Simulation
- Develop services and data pipelines that process and manage large-scale data
- Contribute to infrastructure for ML workflows
- Implement and optimize storage solutions for data
- Collaborate closely with other product teams
Must have
- 2+ years of experience shipping production software
- Bachelor's degree in computer science, computer engineering, or equivalent practical experience
- Experience building backend services or data pipelines
- Familiarity with cloud platforms and containerized systems
- Experience with backend development in Python and Go
- Solid software engineering fundamentals
Nice to have
- Experience with distributed systems at scale
- Experience building or supporting ML training and serving infrastructure
- Experience with GPU workloads and batch orchestration
- Experience with synthetic data generation or data augmentation for ML
- Familiarity with computer vision or sensor simulation
- Experience with autonomous driving or robotics systems
Practical constraints
- In-office expectation of 5 days a week
Requirements
- Experience
- 2+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In this role, the software engineer focuses on developing and maintaining systems for Neural Simulation, transforming real-world driving data into high-fidelity simulation environments. Key skills include backend development, data pipeline management, and familiarity with cloud platforms and containerized systems. This position is suited for engineers with at least two years of experience who are eager to work at the intersection of distributed systems and machine learning. The team collaborates closely across various product areas, contributing to the advancement of physical AI.
Joblaze insights
Quick facts
- Is the Software Engineer - Neural Simulation role remote?
- No — this is an on-site role in Sunnyvale, California, United States.
- How much experience is required?
- At least 2 years of relevant experience for this Software Engineer - Neural Simulation role.
- Where is the role based?
- Applied Intuition is hiring for this position in Sunnyvale, California, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, Docker, GCP, Go, Kubernetes.
- What seniority level is this role?
- Applied Intuition targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer - Neural Simulation role at Applied Intuition.
From the original posting
About the role and team
We are looking for software engineers to help 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 distributed systems that transform real-world data into simulation environments and generate high-quality labeled data at scale, working alongside senior engineers on system design across compute, storage, and data pipelines.
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.
At Applied Intuition, you will:
Build and maintain scalable systems for Neural Simulation, including closed loop simulation and log augmentation workflows
Develop services and data pipelines that process and manage large-scale data
Contribute to infrastructure for ML workflows, including:
Training pipelines
Evaluation and validation systems
Model inference pipelines
Implement 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
Own features and components end to end, from design through deployment, and contribute to architecture discussions
We're looking for someone who has:
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)
Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized systems (Docker, Kubernetes)
Experience with backend development in languages such as Python and Go
Solid software engineering fundamentals and strong problem-solving skills
Nice to have:
Experience with distributed systems at scale
Experience building or supporting ML training and serving infrastructure
Experience with GPU workloads and 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
Standard company text repeated across Applied Intuition's postings is omitted here.
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