Machine Learning Engineer Intern null

Your Role

Key responsibilities as follows:

• Develop state-of-the-art perception and fusion architecture.
• Integrate machine learning models into the ADAS solution stack.
• Innovate in perception, fusion, and prediction research for products.
• Collaborate with NVIDIA's applied research and simulation teams.
• Build strong relationships with internal partner organizations.

About You

Ideal candidates will have:

• A bachelor's or master's degree in Electrical Engineering, Computer Science, Math, Physics, or related fields.
• Hands-on experience in Perception Systems for AV, robotics, or similar industries.
• Strong understanding of sensors and algorithms in modern perception systems.
• Experience with sensor calibration and software debugging.
• Excellent interpersonal skills for cross-disciplinary collaboration.
• Experience in delivering mass production ADAS systems and geometric computer vision is a plus.

Benefits

• Competitive salary with performance-based bonuses, comprehensive healthcare, and other perks such as flexible working hours and wellness programs.

Training & Development

Opportunities for professional growth through development programs, workshops, and mentorship from industry leaders.

Career Progression

Potential for advancement into senior engineering roles, leadership positions, or specialized research areas within a few years.

How to Apply

Submit your application with a resume and cover letter detailing your relevant experience and interest in the role. Include any specific projects or achievements that highlight your qualifications.