Sr. Software Engineer – AI Operators
NXP Semiconductors (company site, opens in a new tab)3+ yrsHyderabadOn-siteDirect career pageEst. 15–28 LPA
Posted on 2 Sept
Reach people at NXP Semiconductors
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at NXP Semiconductors you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own the end-to-end design, implementation, and optimization of AI operator modules/kernels on custom ISA-based edge AI processors.
- Develop and optimize high-performance kernel-level code in C/C++ and assembly to maximize AI/ML operator efficiency and reduce latency.
- Collaborate with hardware architects, compiler teams, and application developers to integrate kernel components and enhance AI operator performance.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, or related field; Ph.D. is a strong plus.
- 3+ years of experience in kernel or low-level systems software development with production-quality contributions.
- Proficiency in system-level programming using C/C++ and assembly language targeting specialized ISA implementations.
- Experience with kernel debugging and profiling tools (e.g., GDB, Gprof) and knowledge of OS internals, memory management, and performance tuning.
Ideal Candidate Profile
- Experienced in AI/ML operator development or specialized compiler optimizations with understanding of hardware/software co-design.
- Able to analyze and optimize complex software performance on custom edge AI hardware architectures.
- Familiar with advanced debugging, profiling, and iterative optimization methodologies in high-performance computing contexts.