Lead Software Engineer - AI Operators

Responsibilities

• 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.

Requirements

• 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.
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Benefits

Additional Information

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.

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