Edge & Embedded AI Software Engineer

Qualcomm Incorporated; San Diego (CA); On-site; USD 100,000 - 149,000; Full time

Job summary

Qualcomm Technologies, Inc. seeks a Software Engineer to design, develop, and validate embedded and cloud edge software, collaborating with hardware and test teams to meet performance and interface requirements.

The role supports small feature development, code reviews, unit testing, and documentation, with supervision and clear performance expectations in a dynamic engineering environment.

Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
• 1+ year of experience with programming languages such as C, C++, Java, Python, etc.
• 1+ year of experience with Database Management Software.
• 1+ year of experience with API.

Responsibilities

• Applies Software knowledge to assist and support the design, development, creation, modification, and validation of embedded and cloud edge software, applications, and/or specialized utility programs.
• Analyzes user needs and software requirements.
• Designs and implements small software features for products and systems.
• Participates in the design, coding for small features, unit testing, minor debugging fixes, and integration efforts to ensure projects are completed on schedule.
• Assists in performing code reviews and regression tests as well as the triaging of issues to ensure the quality of code.
• Collaborates with others inside project team to accomplish project objectives.
• Writes technical documentation for Software projects.

Skills

C

C++

Java

Python

Education

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field

Tools

Git

Perforce

Job description

Qualcomm Technologies, Inc. seeks a Software Engineer to design, develop, and validate embedded and cloud edge software, collaborating with hardware and test teams to meet performance and interface requirements.

The role supports small feature development, code reviews, unit testing, and documentation, with supervision and clear performance expectations in a dynamic engineering environment.