Robotic Embodied AI Engineer

Company:

Qualcomm China

Job Area:

General Summary:

We are seeking a few highly qualified Robotics AI System engineers who will be responsible for designing, implementing, training and deploying state-of-the-art embodied AI models on Qualcomm platform.

Basically, the candidate must have a strong knowledge of machine learning algorithms, particularly those related to robotics use-cases (autonomous navigation, vision-based perception, robot arm manipulation, or lidar processing ML algorithms). Model optimization and quantization experience are also important.

The ideal candidate must be well-versed in recent advancements in Vision Transformers, Action Transformers, and VLM/VLA models. The role requires facilitating collaboration with various Qualcomm horizontal AI teams.

Strong communication and interpersonal skills are required.

Minimum Qualifications:

Master's degree in Computer Science, Engineering, or related field and 5+ years of Systems Engineering, Software Engineering, or SIT experience in robotics projects.

OR

PhD in Computer Science, Robotics, Artificial Intelligence, or Computer Vision and 2+ years of Systems Engineering.

Preferred Qualifications:

• PhD in related field with 5+ years of relevant experience, or master’s with 10+ years.
• Strong understanding of Machine Learning fundamentals with multiple external publications/patents.
• General LLM/VLM development pipeline.
• Reinforcement learning knowledge and training skills, and sim2real.
• Hands-on development experience of end-to-end robot applications.
• Good at embedded software development with excellent analytical, development, and problem-solving skills.
• Being familiar with Pi_0 or GROOT N1 is a great plus.

Level of Responsibility:

• Works independently with minimal supervision.
• Provides supervision/guidance to other junior team members.
• Decision-making is significant in nature and affects work beyond immediate work group.
• Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.
• Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
• Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Minimum Qualifications:

OR

Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

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