Sr. Principal Engineer - Vision Intelligence

Ladders; United States; Remote; USD 104,000 - 174,000; Full time

Benefits offered by this job

Professional growth opportunities

Collaborative, multidisciplinary teams

Collaboration with universities and R

Intellectual property opportunities

Flexible work schedule

Job summary

Ladders is seeking a Sr. Principal Engineer - Vision Intelligence for a leading Manufacturing & Automotive client.

The role focuses on driving advanced vision, ML, and edge AI across next-generation vehicle systems, defining reusable intelligence patterns and scalable architectures. You will translate research into production-ready products, establish governance and deployment standards, and partner with engineering to set performance expectations for AI systems.

Qualifications

• Master’s degree in CS/CE/EE/Robotics/AI/ML/CV with 8+ years of experience.
• PhD in a relevant field with 4+ years preferred.
• Experience in automotive or heavy-duty vehicle control systems.
• Proficiency in deploying AI/vision solutions across embedded, edge, or cloud environments.
• Strong programming skills in Python and familiarity with C/C++.

Responsibilities

• Lead vision intelligence initiatives in computer vision, machine learning, and edge AI.
• Define the technical roadmap for reusable vision intelligence capabilities across vehicle segments.
• Translate advanced AI research into scalable, production-ready product capabilities.
• Establish AI model development, validation, governance, and MLOps practices.
• Define performance requirements for AI systems, including accuracy and latency.
• Oversee deployment and optimization of AI models across various compute platforms.
• Collaborate with cross-functional teams to define scalable architectures and deployment strategies.

Skills

Python

C/C++

Machine learning

Computer vision

Mentoring

Edge/cloud deployment

Leadership

Education

Master’s degree in CS/CE/EE/Robotics/AI/ML/CV

PhD in a relevant field (preferred)

Tools

PyTorch

TensorFlow

OpenCV

Job description

For our client, we are seeking a Sr. Principal Engineer - Vision Intelligence to join the team of a leader in the Manufacturing & Automotive space.

This role will drive advanced vision, machine learning, and edge AI capabilities that support next-generation vehicle systems. You will define the technical direction for reusable intelligence solutions across multiple vehicle segments while helping translate research into scalable, production-ready products. The position partners closely with engineering and cross-functional teams to establish model governance, deployment standards, and performance expectations for AI systems.

Location: Remote

Compensation: $104,100 – $173,900 annually

Responsibilities

• Lead vision intelligence initiatives in computer vision, machine learning, and edge AI
• Define the technical roadmap for reusable vision intelligence capabilities across vehicle segments
• Translate advanced AI research into scalable, production-ready product capabilities
• Establish AI model development, validation, governance, and MLOps practices
• Define performance requirements for AI systems, including accuracy and latency
• Oversee deployment and optimization of AI models across various compute platforms
• Collaborate with cross-functional teams to define scalable architectures and deployment strategies

Qualifications

• Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, AI, Machine Learning, Computer Vision, or a related field with 8+ years of experience
• Ph.D. in a relevant field with 4+ years of experience preferred
• Experience in automotive or heavy-duty vehicle control systems
• Proficiency in deploying AI/computer vision solutions across embedded, edge, or cloud environments
• Strong programming skills in Python and familiarity with C/C++ or similar languages
• Experience with AI/ML frameworks such as PyTorch, TensorFlow, and OpenCV
• Demonstrated ability to lead complex technical projects and mentor engineers

Benefits

• Opportunities for professional growth and development
• Collaborative work environment with multidisciplinary teams
• Engagement with universities and research organizations
• Potential for intellectual property and patent opportunities
• Flexible work schedule with routine hours

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.