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Generative AI Solutions Engineer Job Opening In Bengaluru – Now Hiring Cerebras Systems


Job description

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 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.

About The Role

This teams' 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 bringup 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, 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:

  1. Build a breakthrough AI platform beyond the constraints of the GPU.
  2. Publish and open source their cutting-edge AI research.
  3. Work on one of the fastest AI supercomputers in the world.
  4. Enjoy job stability with startup vitality.
  5. Our simple, non-corporate work culture that respects individual beliefs.

Read our blog: Five Reasons to Join Cerebras in 2025.

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.

This website or its third-party tools process personal data.

For more details, click here to review our CCPA disclosure notice.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Generative AI Potential: Insight & Career Growth Guide


Real-time Generative AI Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Generative AI in Bengaluru, India, highlighting market share and opportunities for professionals in Generative AI roles.

104466 Jobs in India
104466
4627 Jobs in Bengaluru
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Download Generative Ai Jobs Trends in Bengaluru and India

Are You Looking for Generative AI Solutions Engineer Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Cerebras Systems adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Generative AI Solutions Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Generative AI Solutions Engineer?

Key qualifications for Generative AI Solutions Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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To improve your chances of getting hired for Generative AI Solutions Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Generative AI Solutions Engineer Job Success

Cerebras Systems interview tips for Generative AI Solutions Engineer

Here are some tips to help you prepare for and ace your Generative AI Solutions Engineer job interview:

Before the Interview:

Research: Learn about the Cerebras Systems's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Generative AI Solutions Engineer interview at Cerebras Systems, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Cerebras Systems's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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