Software Developer - CPU Performance Optimization

Job Summary :

The role involves analyzing, identifying, and resolving performance bottlenecks across multiple software layers including applications, libraries, kernel, and hardware.

The ideal candidate should have strong expertise in C/C , system-level programming, multicore systems, and performance tuning.

This team focuses on performance engineering and optimization, not support or maintenance work.

Key Responsibilities :

• Design, develop, and optimize the CPU performance stack, including applications and libraries running on AMD, ARM, or x86 architectures.
• Perform deep performance analysis and optimize software running on multi-core and multi-node environments.
• Identify and resolve performance bottlenecks related to CPU utilization, memory access, cache efficiency, and thread scaling.
• Work across multiple software layers including applications, system libraries, kernel space, and hardware interfaces.
• Use AI-assisted tools and modern research techniques to implement future-ready performance solutions.
• Collaborate with cross-functional engineering teams to improve system-level performance and scalability.
• Conduct code profiling, debugging, and optimization using industry-standard profiling and performance analysis tools.
• Contribute to performance improvements in high-performance computing (HPC), data center workloads, codec, and DSP applications.
• Continuously learn and adapt to evolving CPU architectures such as x86 and ARM and optimize workloads accordingly.
• Lead technical discussions and contribute to architecture-level optimization strategies.

Required Skills & Qualifications :

• 5 to 7 years of experience in software development with strong system-level programming skills.
• Strong programming expertise in C and C .
• Experience working on multicore CPU architectures and performance optimization.
• Hands-on experience with Linux system programming and debugging.
• Strong knowledge of data structures, algorithms, and system design concepts.
• Experience analyzing performance issues in large-scale or distributed systems.
• Understanding of CPU architecture fundamentals, including :
• Cache subsystems
• Instruction set architecture (ISA)
• CPU pipelines
• Memory hierarchy
• Experience with performance profiling and debugging tools on Linux / Windows / Mac.

Preferred/Nice-to-Have Skills :

• Experience in High Performance Computing (HPC) environments.
• Familiarity with MPI (Message Passing Interface) for parallel computing.
• Experience optimizing workloads for x86 or ARM-based processors.
• Knowledge of GPU performance optimization (optional but beneficial).
• Experience working with DSP, Codec, or Data Center workloads.
• Exposure to multi-node distributed computing environments.