Qualcomm Auto AI Systems Engineer 

United States, California, San Diego 

642536481

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

A thorough understanding 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.

Strong communication and interpersonal skills are required, and the candidate must be able to work effectively with various horizontal AI teams.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ 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 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

PhD in Computer Science, Engineering, Information Systems, or related field.

Preferred Qualifications:

• PhD in related field with 3+ years of relevant experience, master’s with 5+ years, or Bachelor of engineering with 7+ years of relevant experience.

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

• Strong understanding of Machine Learning fundamentals

• Hands-on experience with deep learning network design and implementation. Ability to define network from scratch in PyTorch, ability to add new loss function, modify network with torch.fx. Adept at version control system like GIT.

• Experience in neural network quantization, compression, pruning algorithms.

• Experience in deep learning kernel/compiler optimization

• Strong communication skills

Principal Duties and Responsibilities:

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

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

• Develops 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 team members for joint design and development.

• Assists with 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 complex machine learning algorithms, models, or frameworks aligned with and motivated by product proposals or roadmaps with minimal guidance from more experienced engineers.

• Conducts complex experiments to train and evaluate machine learning models and/or software independently.

Level of Responsibility:

• Works independently with minimal supervision.

• Decision-making may affect work beyond immediate work group.

• Requires verbal and written communication skills to convey information. May require basic 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 require multiple steps which can be performed in various orders; some 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.

:

$140,800.00 - $211,200.00