Engineer

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. We are seeking ambitious, bright, and innovative engineers with hands-on experience delivering excellent quality software deliverables. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction daily so good communication, planning and execution skills are a must.

Key Responsibilities

• Ability to multitask in a quick paced environment
• Ability to adapt to changing priorities and domain of activities needed to address the instantaneous needs of the team.
• Define tasks and create work breakdown including estimation of tasks.
• Work with various cross-site stakeholders to deliver commitments to meet different customer milestones.
• Apply knowledge of software engineering best practices.

Desirable Skills and Aptitudes

• Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design.
• Hands-on experience with C++ programming is a must-have skill.
• Professional work experience in embedded software, driver development, and/or systems engineering on SoCs using Linux/Android/QNX/etc..
• Ability to work independently, define requirements and scope, and lead your own development effort.
• Avid problem solver should be able to find solutions to key engineering and domain problems.
• Excellent communication skills (written and verbal) and team player.
• Experience with Code Coverage, Code Quality Tools used in Automotive is a plus.
• Experience with Parasoft tool for MISRA compliance & Code Coverage is a plus.
• Experience with ISO 26262 Functional Safety Standard is a plus.
• Experience with the latest C++ standards is a plus.
• Experience in on-device model inference is a plus
• Experience in machine learning frameworks and neural network architectures is a plus.

Qualifications:

• Bachelor's/Masters in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
• 2 to 4 years Software Engineering or related work experience.

Minimum Qualifications: