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 national labs, global corporations across multiple industries, 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.

Cerebras is building a team of exceptional people to work together on big problems. Join us!

Job Summary:

We are seeking an experienced Manufacturing Engineer with a mechanical focus to join our team. The successful candidate will be responsible for designing, implementing, and improving manufacturing processes and equipment to meet customer demands and product quality requirements. This is a hands-on role that requires strong technical skills, problem-solving abilities, and excellent communication skills.

Key Responsibilities:

• Design and implement manufacturing processes and equipment for mechanical components, including mechanical assembly, machining, and inspection.
• Develop and maintain detailed technical documentation, including drawings, procedures, and process specifications.
• Conduct process evaluations and improvements to increase efficiency, quality, and throughput.
• Collaborate with cross-functional teams, including production, quality, and engineering to drive process improvements and resolve production issues.
• Troubleshoot and resolve mechanical-related production issues, including equipment malfunctions and product defects.
• Develop and implement lean manufacturing principles to reduce waste and improve efficiency.
• Work closely with supply chain to source and evaluate new suppliers.
• Develop and maintain relationships with vendors, suppliers, and external partners to improve quality and reduce costs.
• Participate in new product launch preparation and production ramp-up.
• Develop and maintain a deep understanding of company products and manufacturing processes.

Key Skills and Qualifications:

• Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or related field.
• 5+ years of experience in manufacturing engineering, preferably in mechanical components or assembly.
• Strong knowledge of mechanical systems, including kinematics, dynamics, and thermodynamics.
• Excellent problem-solving and analytical skills.
• Effective communication and collaboration skills.
• Experience with process improvement tools and techniques, such as lean manufacturing and six sigma.
• Familiarity with computer-aided design (CAD) software and computer-aided manufacturing (CAM) software.
• Proficiency with Microsoft Office and other productivity software.

Preferred Qualifications:

• Master's degree in Mechanical Engineering or related field.
• Experience with robotics, automation, and computer-controlled manufacturing processes.
• Certifications in lean manufacturing, six sigma, or related fields.

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 2024.

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