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 Operations Financial Analyst is responsible for analyzing, monitoring, and reporting on financial data related to the company’s operations. This position works closely with both the finance and operations teams to ensure that financial performance is optimized, costs are controlled, and business processes are efficient.
Responsibilities Financial Analysis:
- Perform financial analysis on operational data to identify trends, variances, and opportunities for improvement.
- Prepare detailed reports and presentations for senior management on operational performance.
- Support budget creation, forecasting, and long-term financial planning.
Cost Management:
- Track operational costs and work with department heads to ensure spending is within budget.
- Identify cost-saving opportunities and efficiency improvements within the operational processes.
- Assist in the creation and maintenance of cost models for various operational activities.
Data Reporting & Visualization:
- Provide actionable insights through financial reports, dashboards, and KPIs.
- Monitor key performance indicators (KPIs) to assess the effectiveness of operational strategies.
- Prepare monthly and quarterly financial summaries for management.
Forecasting and Budgeting:
- Assist in the development and management of annual budgets for the operations department.
- Create financial forecasts based on historical data, business trends, and operational goals.
- Review and update forecasts regularly to reflect changes in business conditions.
Process Improvement:
- Collaborate with the operations team to assess and improve financial processes and workflows.
- Identify inefficiencies and recommend solutions to improve cost-effectiveness.
- Analyze inventory, supply chain, and procurement data to drive operational efficiency.
Collaboration and Communication:
- Work closely with cross-functional teams (e.g., operations, accounting, supply chain) to ensure accurate financial tracking and reporting.
- Communicate financial insights clearly to non-financial stakeholders.
Skills & Qualifications
- Bachelor’s degree in Finance, Accounting, Economics, or related field (Master’s preferred).
- 8+ years of experience in financial analysis, preferably in operations or supply chain management.
- Strong proficiency in Excel, financial modeling, and data analysis.
- Experience with ERP systems and NetSuite is a plus.
- Ability to work with large datasets and translate data into actionable business insights.
- Strong communication skills, both written and verbal, with the ability to present complex financial information in an easy-to-understand manner.
- Detail-oriented with strong problem-solving abilities.
- Ability to thrive in a fast-paced and dynamic environment.
- Strong organizational skills and attention to detail.
- Knowledge of financial regulations and best practices is beneficial.
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.
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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What We Do
Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, functional business experts and engineers of all types. We have come together to build a new class of computer to accelerate artificial intelligence work by three orders of magnitude beyond the current state of the art.
The CS-2 is the fastest AI computer in existence. It contains a collection of industry firsts, including the Cerebras Wafer Scale Engine (WSE-2). The WSE-2 is the largest chip ever built. It contains 2.6 trillion transistors and covers more than 46,225 square millimeters of silicon. The largest graphics processor on the market has 54 billion transistors and covers 815 square millimeters. In artificial intelligence work, large chips process information more quickly producing answers in less time. As a result, neural networks that in the past took months to train, can now train in minutes on the Cerebras CS-2 powered by the WSE-2.
Join us: https://cerebras.net/careers/
