Senior Software Engineer - Neural Simulation
Join Applied Intuition as a Senior Software Engineer to build Neural Simulation systems for high-fidelity simulation environments.
Posted by employer 19 hours ago
First seen on Joblaze 7 hours ago
Last verified on the company career page 7 hours ago
What you'll build
- Design and build scalable closed loop simulation systems
- Architect systems that process and manage large-scale data
- Develop infrastructure for ML workflows
- Design and optimize storage solutions for data
- Improve system reliability and performance across distributed services
Must have
- 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
- Experience with cloud platforms and containerized systems
- Experience with backend development in Python and Go
Nice to have
- Experience building or supporting ML training and serving infrastructure
- Experience with GPU workloads and large-scale batch orchestration
- Experience with synthetic data generation or data augmentation for ML
- Familiarity with computer vision or 3D reconstruction
- Experience with autonomous driving or robotics systems
Practical constraints
- In-office expectation of 5 days a week
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In this role, the Senior Software Engineer will focus on developing and optimizing systems for Neural Simulation, transforming real-world driving data into high-fidelity simulation environments. Key skills include expertise in large-scale distributed systems, data pipelines, and cloud platforms, with a strong emphasis on backend development using languages like Python and Go. This position is suited for experienced engineers with a background in complex software development and a keen interest in machine learning applications. The team collaborates closely across various product areas to enhance the capabilities of Physical AI.
Joblaze insights
Quick facts
- Is the Senior 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 5 years of relevant experience for this Senior 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 senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Software Engineer - Neural Simulation role at Applied Intuition.
From the original posting
About the role and team
We 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
Standard company text repeated across Applied Intuition's postings is omitted here.