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Salary
$29k – $76k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Staff · 8+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
NXP Semiconductors is a Dutch chipmaker established in 2006 when Philips spun out its semiconductor division, and it concentrates on embedded processing rather than general purpose computing. Its largest market is automotive, where it supplies radar sensors, vehicle networking, battery management and the secure processors behind keyless entry and digital car keys, alongside industrial and internet of things microcontrollers, mobile secure elements and communications infrastructure silicon. Headquartered in Eindhoven and listed on Nasdaq, it is one of the leading suppliers of near field communication and automotive processing chips in the world.

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.

  • Innovation & Continuous Learning:
    • Stay current on emerging trends in AI operator development, and specialized ISA optimizations.
    • Champion a culture of innovation by proposing and implementing forward-thinking solutions that drive our technology forward.
  • Cross-Functional Collaboration:
    • Work closely with hardware architects, compiler teams, and application developers to ensure seamless integration of kernel components with higher-level systems.

o Be a technical point of contact supporting HW and other Software cross functional teams.

  • Design and Development:
    • Design and Development of our AI operator modules/kernels to maximize performance and efficiency on our custom ISA-based edge AI processors.
    • Develop, optimize, and maintain high-performance kernel-level code in C/C++ (and assembly when needed) for AI/ML operators.
  • Performance Optimization & Debugging:
    • Utilize advanced profiling and debugging tools (e.g., GDB, trace analyzers) to diagnose and resolve performance bottlenecks.
    • Drive continuous performance improvements through rigorous testing and iterative optimization strategies.

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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