Company:

Qualcomm China

Job Area:Engineering Group, Engineering Group > Machine Learning Engineering

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:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
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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