Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.

Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

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 Tensor Flow and Py Torch.

• Understanding of HPC kernels and strategies for optimizing them on modern architectures.

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

• Build a breakthrough AI platform beyond the constraints of the GPU.

• Publish and open source their cutting-edge AI research.

• Work on one of the fastest AI supercomputers in the world.

• Enjoy job stability with startup vitality.

• Our simple, non-corporate work culture that respects individual beliefs.

Read our blog: Five Reasons to Join Cerebras in 2026.

Apply today and become part of the forefront of groundbreaking advancements in AI!

*Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. **We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies.*We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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