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Job Summary:
As a Lead Software Engineer, you’ll take ownership of the end-to-end software stack, design, implementation, and optimization of our core AI operator modules/kernels. You will be working with diverse cross-functional teams, enhance the performance, reliability, and scalability of our edge AI processors. Your contributions will directly impact our ability to deliver best-in-class Edge AI/ML performance across our product portfolio.
What You’ll Do:
· Architectural Leadership:
o Define and lead the evolution of our AI operators/kernel architecture to maximize performance and efficiency on our custom ISA-based hardware.
o Evaluate cutting-edge technologies and methodologies to enhance AI operator capabilities.
o Drive proof Of concepts for addition of new operators and solutions that help improve overall performance and stability of software stack.
o Guide developers technically to ensure on-time deliverables closure.
o Be a technical point of contact supporting HW and other Software cross functional teams.
What We’re Looking For:
· Educational Background:
o Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, or a related field; a Ph.D. is a strong plus.
· Proven Expertise:
o 8+ years of hands-on experience in kernel or low-level systems software development, with demonstrable contributions to production-quality code.
o Deep knowledge of OS internals, memory management, process scheduling, and performance tuning.
o Expertise in system-level programming using C/C++ and proficiency in assembly language for specialized ISA implementations.
· Technical Mastery:
o Strong familiarity with kernel debugging and profiling tools (e.g., GDB, Gprof, or equivalent).
o Track record of optimizing software performance in complex, high-performance computing environments.
· Leadership & Collaboration:
o Proven track record of leading technical projects and mentoring engineering teams.
o Exceptional problem-solving skills and the ability to work effectively across multiple disciplines.
· Bonus Points:
o Experience with AI/ML operator development or specialized compiler optimizations.
o Exposure to hardware/software co-design and emerging trends in AI hardware acceleration.
More information about NXP in India...
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