Senior Materials Analyst

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Cerebras Systems
Ottawa
CAD 100,000 - 125,000
Be among the first applicants.
2 days ago
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

The Sr. Materials Analyst is responsible for overseeing the material requirements and supply chain processes within an organization. Their primary role is to ensure that materials are available as needed for production and other business operations, thereby minimizing delays and optimizing costs. This involves a deep understanding of inventory management, procurement processes, and data analysis to forecast material needs accurately and manage supplier relationships effectively.

Responsibilities

  1. Inventory Management: Monitoring and managing inventory levels to ensure that materials are available when needed while minimizing excess stock.
  2. Procurement: Sourcing materials from suppliers, negotiating contracts, and ensuring timely delivery of materials.
  3. Data Analysis: Analyzing data to forecast material needs, track inventory levels, and identify trends that can improve supply chain efficiency.
  4. Quality Assurance: Ensuring that materials meet quality standards and advising on the disposal of supplies that do not meet project requirements.
  5. Supply Chain Optimization: Assessing logistics performance, identifying ways to streamline the supply chain, and lowering shipping and storage costs.
  6. Software Utilization: Using software systems to plan supply chain and inventory management, and maintaining material tracking software.

Skills And Qualifications

  • Education: Typically, a Bachelor's or Associate Degree in fields such as Business, Engineering, Management, Supply Chain Management, Industrial Engineering, or related disciplines.
  • Certifications: While not always required, certifications such as APICS, CPIM, CSCP, and others can be beneficial.
  • Skills: Strong analytical, critical thinking, and organizational skills. Proficiency in inventory control systems, management principles, and computer systems is also essential.
  • Experience: Previous experience in logistics or a related field is often preferred. Internships can provide valuable hands-on experience.

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.

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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