Qualcomm Auto AI Systems Team Lead 

United States, California, San Diego 

789103027

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

A strong knowledge of machine learning algorithms, particularly those related to automotive use-cases (autonomous driving, vision, and lidar processing ML algorithms), is essential. Research experience in the development of efficient networks, various Neural Architecture Search (NAS) techniques, network quantization, and pruning is highly desirable.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Preferred Qualifications:

• PhD in related field with 5+ years of relevant experience, master’s with 10+ years, or Bachelor of engineering with 12+ years of relevant experience.

• Previous experience in leading ML engineers.

• Strong interest towards team leadership, cross functional collaboration and mentoring/guiding new team members.

• Strong understanding of Machine Learning fundamentals with multiple external publications/patents.

• Hands-on experience with deep learning network design and implementation.

• Good at software development with excellent analytical, development, and problem-solving skills.

• Experience in deep learning kernel/compiler optimization.

• Strong communication and interpersonal skills are required.

Principal Duties and Responsibilities:

• Leverages advanced Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.

• Models, architects, and develops highly advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions.

• Develops critical optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with hardware teams for joint design and development.

• Leads the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.

• Develops, adapts, or prototypes novel machine learning solutions aligned with and motivated by proposals or roadmaps for complex products and system-level features.

• Oversees and provides technical expertise to others conducting experiments to train and evaluate machine learning solutions.

Level of Responsibility:

• Works independently with minimal supervision.

• Provides supervision/guidance to other 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.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

:

$178,400.00 - $267,600.00