Crouse is looking for AI/ML engineers to research and develop approaches that enable the use of AI/ML for a wide range of applications in the automotive industry. In this role, the engineer will contribute across the entire AI/ML lifecycle in a highly collaborative environment, develop AI/ML methodologies to address a variety of sensing needs in vehicles, deploy models on various platforms, and actively participate in validation and testing.

Responsibilities

• Research AI/ML approaches and tools
• Develop processes and methods for the development lifecycle of AI/ML functions
• Develop AI/ML production infrastructure and extend existing libraries and frameworks
• Develop AI/ML software based on related frameworks
• Deploy AI/ML models on various software or hardware platforms
• Design, implement, and execute AI/ML tests and experiments

Requirements

• In-depth knowledge of AI/ML approaches and tools
• Experience in developing AI/ML algorithms for real-world applications
• Strong programming skills in Python, C++, MATLAB, or other relevant languages
• Experience working in AI/ML application deployments
• Working knowledge of at least one common AI/ML framework such as PyTorch, TensorFlow, etc.
• Experience in general software engineering principles
• Deep knowledge of math, probability, statistics, and algorithms
• Familiarity with common software development tools such as SVN, Git, and Jira
• Self-driven interest in AI/ML and familiarity with recent state-of-the-art advances
• Ability to collaborate with cross-functional teams

Preferred requirements

• Publication record in top AI/ML conferences and journals
• Experience in agile development methods such as Scrum
• Experience working with embedded or other hardware platforms such as NVIDIA, Raspberry Pi, and Intel boards
• Experience working with sensors such as cameras, LiDAR, and radar
• Experience with software development in Linux
• Experience in the automotive industry
• Strong analytical and problem-solving skills
• Strong communication and presentation skills