(Senior) Software Engineer, Deep Learning

What you'll do

• Design software architecture, modules, evaluation metrics, and testing and regression frameworks with self-driving vehicle experts.
• Develop foundation models using real-world data and apply machine learning approaches to autonomous driving problems and data pipelines.
• Deploy and optimize deep learning models, including VLMs and LLMs, to operate robustly within vehicle runtime constraints.

What they ask for

• Master in Computer Science, or at least 2 years of equivalent industry experience in similar technical fields.
• Solid understanding of data structures, algorithms, parallel computing, code optimization, and large scale data processing.
• Experience in applied machine learning, including data collection and analysis, evaluation, and feature engineering.
• Expertise in C++/Python.

Nice to have

• PhD in Deep Learning, Machine Learning, Robotics, Natural Language Processing, or a similar technical field; publications at top-tier conferences.
• Experience with ML/DL for behavior prediction, imitation learning, motion planning, real-time deployment, convex optimization, computational geometry, linear algebra, or GPU/CUDA/TensorRT.

Pay

$140,000 - $280,000 USD base salary

Tools

C++, Python, GPU/CUDA/TensorRT

AI focus

Develops and deploys deep learning and large-scale foundation models for autonomous driving, including vision language models (VLMs) and Large Language Models (LLMs), using approaches such as reinforcement learning and imitation learning.