Software/ML Engineer, Simulation

You will:

• Design and build multimodal data pipelines in Python or C++ that combine vehicle sensor data (camera, LiDAR) and 3D map data for machine learning models
• Prototype and iterate on Vision-Language Model (VLM) workflows to automatically detect and categorize complex real-world driving scenarios and road changes
• Build ground-truth evaluation datasets, measure model precision and recall, and systematically improve detection accuracy
• Integrate automated labeling pipelines into data storage and simulation testing workflows

You have:

• Currently pursuing a MS or PhD in a quantitative or technical field (such as Computer Science, Robotics, Machine Learning, or a related area)
• Strong programming skills in Python or C++
• Experience with data analysis, SQL, and basic statistics

We prefer:

• Experience with computer vision, Vision-Language Models (VLMs), or prompt engineering
• Familiarity with 3D geometry, coordinate transforms, or sensor data processing
• Experience working with large-scale datasets or distributed data pipelines

General Perks

• Help solve challenging problems with a direct impact on the company
• Competitive compensation packages with a housing/relocation bonus (if applicable)
• Medical, dental, and vision insurance
• Fun intern events and networking opportunities

Onsite Perks

• Free breakfast, lunch, dinner, and snacks
• Free access to Google shuttles
• Onsite gym

Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.