About the role
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.
Job Summary
The Sr. Sourcing Manager – Critical Components is responsible for developing and executing global sourcing strategies to secure high-quality, cost-effective critical components and materials. This role ensures supply chain continuity, minimizes risk, and drives innovation by leveraging market analysis, supplier relationship management, and advanced negotiation tactics. The manager collaborates with cross-functional teams to align procurement activities with organizational goals, optimize procurement processes, and enhance supplier relationships.
Key Responsibilities:
- Strategic Sourcing: Develop and implement comprehensive sourcing strategies for critical components, aligning with long-term business objectives and ensuring competitive advantage.
- Supplier Management: Build and maintain strong relationships with key suppliers, conduct regular performance reviews, and manage contracts to ensure terms are met and risks are mitigated.
- Cost Optimization: Identify opportunities for cost reduction, quality improvement, and process efficiency through market analysis and innovative sourcing solutions.
- Risk Management: Monitor supply chain risks, diversify supplier base, and implement contingency plans to ensure uninterrupted supply of critical components.
- Cross-Functional Collaboration: Work closely with finance, operations, legal, and engineering teams to harmonize procurement activities with overall corporate strategy.
- Commodity & Component Expertise: Oversee commodity management, finished goods, and component sourcing, with a focus on critical and high-impact materials.
- Process Standardization: Provide guidance on standardized RFP/bid and contract processes, ensuring compliance and best practices across the organization.
- Performance Metrics: Track and report on key performance indicators related to cost savings, quality, delivery, and supplier performance.
Qualifications & Skills:
- Education: Bachelor’s degree in Business, Supply Chain Management, Engineering, or related field; Master’s degree or MBA preferred.
- Experience: 10+ years in sourcing, procurement, or supply chain management, with at least 3 years at a senior level in a multinational environment.
- Industry Knowledge: Deep understanding of manufacturing processes, import sourcing practices, and global supply chain dynamics.
- Skills: Strong negotiation, analytical, leadership, and communication skills. Proficiency in contract law, market analysis, and supplier relationship management.
- Technical: Experience with LEAN manufacturing, supply management, and procurement software/tools.
Preferred Competencies:
- Ability to interpret complex data and drive data-informed decision-making.
- Track record of driving cost efficiencies and process improvements in procurement.
- Experience in managing international supplier relationships and global sourcing initiatives.
Location: Sunnyvale, CA
The base salary range for this position is $200,000 to $240,000 annually. Actual compensation may include bonus and/or equity, and will be determined based on factors such as experience, skills, and qualifications.
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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Skills & Tags
Aplyr's read
Cerebras Systems is at the forefront of AI hardware innovation, attracting top technical talent passionate about pushing the limits of high-performance computing.
What's promising
- •Cerebras Systems develops cutting-edge AI hardware, offering significant advancements in deep learning performance.
- •The company's unique wafer-scale engine technology sets it apart in the semiconductor industry.
- •Cerebras is expanding rapidly, creating diverse opportunities for engineers and technical staff.
What to watch
- •The niche focus on AI hardware may limit broader market opportunities.
- •High competition in AI hardware demands constant innovation to maintain leadership.
- •Limited public information about financial stability and long-term viability.
Why Cerebras Systems
- •Cerebras Systems' wafer-scale engine is the largest chip ever built, revolutionizing AI processing capabilities.
- •The company focuses exclusively on AI and deep learning, offering specialized expertise.
- •Cerebras' technology enables significantly faster AI model training compared to traditional hardware.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Cerebras Systems
Cerebras Systems is a technology company that specializes in developing high-performance computing solutions, particularly focused on artificial intelligence and deep learning applications.
