CPU Software Senior Engineer
Qualcomm · Bengaluru · 2–10 yrs experience · Posted 2026-07-08
Tech stack: C, C++, Java, JavaScript, Linux, Python
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About the role
Qualcomm India Private Limited
Engineering Group, Engineering Group > Software Engineering
Responsibilities: - 2-10 years of Software Engineering or related experience.
- Excellent in programming using C/C++/Assembly/Python/Javascript.
- In-depth Understanding of software stack
- Linux Internals/device drivers.
- Strong understanding of Computer architecture and Operating system concepts.
- Strong problem solving skills - look at big picture and unorthodox ways to solve challenging performance problems
- Leverages knowledge of CPU Architecture to develop and/or optimize Software for high performance and low power.
- Run benchmarks for applications and performs critical pre- and post-silicon verification to ensure performance and power goals are met.
- Develops new benchmarks for upcoming areas and workloads across product segments
- Understands software workloads at next level (libraries, compiler, assembly, runtime, algorithms) and evaluates optimization opportunities
- Collaborates with internal (CPU, Compiler, Kernel) and external (benchmark vendors, open source community) teams to implement solutions that meet CPU performance requirements.
Qualifications: - 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 CPU Software Architect you will develop and optimize Software that pushes the envelope on performance, energy efficiency, and scalability across the product segments and business units.
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field.
- 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
Qualifications
- 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 CPU Software Architect you will develop and optimize Software that pushes the envelope on performance, energy efficiency, and scalability across the product segments and business units.
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field.
- 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
Responsibilities
- 2-10 years of Software Engineering or related experience.
- Excellent in programming using C/C++/Assembly/Python/Javascript.
- In-depth Understanding of software stack
- Linux Internals/device drivers.
- Strong understanding of Computer architecture and Operating system concepts.
- Strong problem solving skills - look at big picture and unorthodox ways to solve challenging performance problems
- Leverages knowledge of CPU Architecture to develop and/or optimize Software for high performance and low power.
- Run benchmarks for applications and performs critical pre- and post-silicon verification to ensure performance and power goals are met.
- Develops new benchmarks for upcoming areas and workloads across product segments
- Understands software workloads at next level (libraries, compiler, assembly, runtime, algorithms) and evaluates optimization opportunities
- Collaborates with internal (CPU, Compiler, Kernel) and external (benchmark vendors, open source community) teams to implement solutions that meet CPU performance requirements.
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