Full Stack LLM Engineer

Cerebras Systems; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Benefits offered by this job

Competitive salary and benefits package

Opportunities for professional growth

Dynamic work environment

Chance to work on cutting-edge technologies

Job summary

A leading AI technology company in Bengaluru is seeking an experienced software engineer to work on AI frameworks. The ideal candidate will have a strong background in computer science, with 8-12 years of experience, proficiency in Python and C/C++, and skills in debugging and optimization. This full-time role offers competitive compensation and the opportunity to innovate in a dynamic work environment.

Qualifications

• 8 to 12 years’ experience in related field.
• Familiarity with model internals (e.g., attention, MoE, diffusion).
• Experience with low-level optimization.

Responsibilities

• Contribute to the end-to-end bring up of frameworks for RL, inference serving, and ML models.
• Work across the stack: model architecture translation, graph lowering, compiler optimizations, runtime integration.
• Debug performance and correctness issues across model code, compiler IRs, runtime behavior, and hardware utilization.
• Propose and prototype improvements across tools and APIs.

Skills

Debugging skills

Python modeling code

Deep learning frameworks (e.g., PyTorch, TensorFlow)

C/C++ programming

Optimization techniques

Education

Bachelor's, Master's, or PhD in Computer Science, Engineering, or related field

Job description

About Cerebras Systems

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our 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 enables industry-leading training and inference speeds and lets machine learning users run large-scale ML applications without managing hundreds of GPUs or TPUs.

Cerebras' customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.

The Role

This team’s principal responsibility is to rapidly bring up state-of-the-art open-source models, frameworks and data engineering. Success in this role requires a system-minded generalist who thrives in fast-paced bring-up environments and is comfortable working across the entire software stack. Your work will play a critical role in achieving unprecedented levels of performance, efficiency, and scalability for AI applications.

Responsibilities

• Contribute to the end-to-end bring up of frameworks for RL, inference serving, and ML models on Cerebras CSX systems.
• Work across the stack: model architecture translation, graph lowering, compiler optimizations, runtime integration, and performance tuning.
• Debug performance and correctness issues spanning model code, compiler IRs, runtime behavior, and hardware utilization.
• Propose and prototype improvements across tools, APIs, or automation flows to accelerate future bring-ups.

Skills & Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field with 8 to 12 years’ experience.
• Comfort navigating the full AI toolchain: Python modelling code, compiler IRs, performance profiling, etc.
• Strong debugging skills across performance, numerical accuracy, and runtime integration.
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and familiarity with model internals (e.g., attention, MoE, diffusion).
• Proficiency in C/C++ programming and experience with low-level optimization.
• Strong background in optimization techniques, particularly those involving NP-hard problems.

What We Offer

• Competitive salary and benefits package.
• Opportunities for professional growth and career advancement.
• A dynamic and innovative work environment.
• The chance to work on cutting-edge technologies and make a significant impact on the future of AI.

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 2025.

Equal Opportunity 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 strive 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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Senioriy level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

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