Staff Engineer - Cloud ML Accelerator

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

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

Qualcomm Cloud BU is looking for an experienced cloud software generalist to augmenting our team that develops cloud ecosystem support for Qualcomm’s high-performance inference accelerator Cloud AI 100 and related products.

An ideal candidate should be familiar with developing user space applications in a Linux environment. Our software stack is based on C++ and Python.

The candidate should be familiar with prevalent Cloud orchestration elements (Docker, K8s) and specific implementations within different public clouds (EKS, RKE2, Openshift). AWS and Azure experience is highly valuable.

Experience with Cloud deep learning concepts (Inference specific) are required. Any experience with open source NN model serving tools (Kserve, Triton, BentoML) is a plus.

 
Required Skills and Aptitudes

• Experience with developing and deploying Cloud based ML services.

• Experience with Linux user-space development.

• Experience with building Docker containers and deployment management using K8s.

• Experience with development in C/C++ including debug and testing, preferable using GNU/LLVM tools)

• Experience developing software in Python.

• Experience with Source Code and Configuration management tools, git knowledge is required.

 
Desirable Skills and Aptitudes

• 5+ years of relevant experience

• Experience working with LLVM serving frameworks. (vLLM, KServe, BentoML)

• Proven ability to handle multiple priorities at a given point without much oversight.

• Interest in mentoring junior engineers and building a team.

Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to 

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found

for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact

. ]]>