Qualcomm Cloud Services Engineer 

United States, California 

962800699

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

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.

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.

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

Preferred Qualifications:

Preferred to have at least 1 year of prior work experience in each of the following:

• Writing scalable software backed by relational databases including PostgreSQL and DynamoDB.

• Building, testing, and deploying using AWS CloudFormation to synthesize resources from templates, CDK to represent infrastructure as code, and Github Actions or comparable technologies to implement CI/CD workflows.

• Using Amazon Load Balancer, Elastic Load Balancer, or comparable technologies to create and deploy horizontally-scalable services.

• Monitoring software health using automated monitors and alarms on AWS CloudWatch or a comparable platform to identify and address any problems.

• Writing performant and testable software using Python and/or Java, with dependency locking using modern tools and platforms like pip, Poetry, gradle or equivalent.

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 advanced 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 hardware teams for joint design and development.

• Develops and applies 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 working features.

• Oversees and conducts experiments to train and evaluate machine learning models and/or software.

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.

Pay range:

$156,500.00 - $234,500.00