Manager, Kernel Software

3 days ago

Bengaluru, Karnataka, India Cerebras Systems Full time ₹ 1,50,00,000 - ₹ 2,50,00,000 per year
About The Role

As a Manager, Kernel Software, you will lead a team of engineers at the intersection of hardware and software, developing high-performance solutions for cutting-edge AI and HPC workloads. You will collaborate with leaders from industry and academia to co-design software that fully harnesses the capabilities of our custom, massively parallel processor architecture.

In this dual-role position, you will guide the technical roadmap, oversee the design and optimization of deep learning operations, and ensure the delivery of robust, high-performing kernel libraries. You will also manage and mentor a team of talented engineers, supporting their growth and fostering a culture of technical excellence, collaboration, and innovation. Your leadership will directly impact our ability to scale training workloads and deliver breakthroughs in performance and efficiency.

Responsibilities

  • Lead the design and development of high-performance ML and linear algebra kernels for the Cerebras WSE using parallel programming techniques.
  • Guide a team building optimized low-level routines in assembly and a domain-specific C-like language.
  • Use performance modeling to inform design and optimization decisions.
  • Drive test development to ensure correctness and performance of kernel libraries.
  • Evolve kernel architecture to support emerging ML models and workloads.
  • Collaborate with hardware architects to influence future system design.
  • Mentor engineers and foster a high-performing, collaborative team culture.

Skills & Qualifications

  • Bachelor's, Master's, PhD, or foreign equivalent in Computer Science, Computer Engineering, Mathematics, or a related field.
  • Proven experience leading technical teams, including mentoring engineers, setting technical direction, and driving execution.
  • Strong understanding of hardware architecture concepts and willingness to dive into new system architectures.
  • Proficiency in C and Python; experience with low-level systems programming.
  • Familiarity with library/API development best practices and performance optimization.
  • Excellent debugging skills across complex, layered software stacks.

Preferred Skills & Qualifications

  • Experience leading teams in kernel development, performance optimization, or low-level systems programming.
  • Strong background in parallel algorithms and distributed memory systems.
  • Hands-on experience with accelerators such as GPUs, FPGAs, or other custom hardware.
  • Familiarity with machine learning workloads and frameworks like TensorFlow and PyTorch.
  • Understanding of HPC kernels and strategies for optimizing them on modern architectures.

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