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.