Qualcomm Machine Learning Software Engineer – Cloud 

United States, California, San Diego 

155421540

Job Area:

Engineering Group, Engineering Group > Software Applications Engineering

We are seeing to hire for multiple machine learning positions in the Qualcomm Cloud team. In this role, you will work with Qualcomm's partners to develop and deploy best in class ML applications (CV, NLP, GenAI, LLMs etc) based on popular frameworks such as PyTorch, TensorFlow and ONNX, that are optimized for Qualcomm's Cloud AI accelerators. The work will include model assessment of throughput, latency and accuracy, model profiling and optimization, end-to-end application pipeline development, integration with customer frameworks and libraries and responsibility for customer documentation, training, and demos.

• This candidate must possess excellent communication, leadership, interpersonal and organizational skills, and analytical skills.

• This role will interact with individuals of all levels and requires an experienced, dedicated professional to effectively collaborate with internal and external stakeholders.

• The ideal candidate has either developed or deployed deep learning models on popular ML frameworks.

• If you have a strong appetite for technology and enjoy working in small, agile, empowered teams solving complex problems within a high energy, oftentimes chaotic environment then this is the role for you.

Minimum Qualifications:

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

Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Applications Engineering, Software Development experience, or related work experience.

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

• 2+ years of experience with Programming Language such as C, C++, Java, Python, etc.

• 1+ year of experience with debugging techniques.

Key Responsibilities:

• Key contributor to Qualcomm’s Cloud AI GitHub repo and developer documentation.

• Work with developers in large organizations to

• Onboard them on Qualcomm’s Cloud AI ML stack

• improve and optimize their Deep Learning models on Qualcomm AI 100

• deploy their applications at scale

• Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning.

• Work on Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.

• Optimize LLM/GenAI workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems.

• Partner with product management, hardware/software engineering to highlight customer progress, gaps in product features etc.

Minimum Qualifications:

• Masters's degree in Computer Science, Computer Engineering, electrical engineering or relevant technical field, or equivalent practical experience.

• 5+ years of deep learning model development or deployment experience on CPUs/GPUs/ASICs.

• Excellent C/C++/Python programming and software design skills, including debugging, and performance analysis.

• Proven communications skills and demonstrated experience influencing cross functional teams.

Preferred Qualifications:

• Hands-on experience running deep learning models on popular ML frameworks such as PyTorch, TensorFlow, ONNX, Caffe2

• Experience developing software solutions that run in Linux environments including containers (docker, K8s, Rancher etc) and virtual machines.

• Experience with Source code and configuration management tools, git knowledge is required.

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:

$123,500.00 - $210,000.00