Qualcomm Senior AI Cloud/Pipeline Engineer 

United States, California, San Diego 

989461506

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

In this particular role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on- and off-device benchmarking workflows for model zoos.

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.

The successful applicant should have a strong theoretical background and proven hands-on experience with AI as modern software-, web-, and cloud-engineering.

Must have experience and skills:

• Strong theoretical background in AI and general ML techniques

• Proven hands-on experience with model training, inference, and evaluation.

• Proven hands-on experience with PyTorch, ONNX, TensorFlow, CUDA, and others.

• Experience developing data pipelines for ML/AI training and inferencing in the cloud.

• Prior experience in deploying containerized (web-) applications to IAAS environments such as AWS (preferred), Azure or GCP, backed by Dev-Ops and CI/CD technologies.

• Strong Linux command line skills.

• Strong experience with Docker and Git.

• Strong general analytical and debugging skills.

• Prior experience working in agile environments.

• Prior experience in collaborating with multi-disciplinary teams across time zones.

• Strong team player, communicator, presenter, mentor, and teacher.

Preferred extra experience and skills:

• Prior experience with model quantization, profiling and running models on edge devices.

• Prior experience in developing full stack web applications using frameworks such as Ruby-on-Rails (preferred), Django, Phoenix/Elixir, Spring, Node.js or others.

• Knowledge of relational database design and optimization, hands on experience with running Postgres (preferred), MySQL or other relational databases in production

Preferred qualifications:

• Bachelor's, Master's and/or PhD degree in Computer Science, Engineering, Information Systems, or related field and 2-5 years of work experience in Software Engineering, Systems Engineering, Hardware Engineering or related.

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:

$148,500.00 - $222,500.00