2 open positions available
Create and analyze financial reports, develop budgets and forecasts, perform variance and risk assessments, drive process improvements, and support leadership decision-making. | Bachelor's degree in finance or related field, 1+ year financial experience preferred, intermediate Excel, Power BI knowledge, and SAP familiarity. | Job Details: Job Description: The Finance Team supporting Intel Foundry Capital plays a vital role in ensuring the financial stability and efficiency of the foundry operations. This specialized team is responsible for managing the financial aspects of foundry processes, including budgeting, cost analysis, and financial reporting specific to the foundry needs. We are looking a Capital Analyst to join our team, the role's responsibilities include but are not limited to: • Creates and analyzes financial information and business trends to develop reconciliations, financial reports, variance explanations, risk assessments and solutions. • Evaluates accounting and reporting and recommends solutions to ensure the integrity of external and internal reporting. • Develops annual budgets and forecasts for different business units and departments, as well as for the organization to influence the decision-making process and direction of varying levels of business leaders including project leads, managers, operational business groups and factories. • Identifies, performs and drives process improvement opportunities in the monthend close processes and supports management reporting related to operations performance on a monthly, quarterly and annual basis. • Prepares and maintains operational budget, forecasts, plan and reports and develops operational workflows that bridge technical and business needs. • Makes recommendations around financial process improvements by maintaining financial tools to perform analysis and recommends automation and more efficient methods of creation and delivery. • Evaluates capital expenditure requirements and recommends suitable financing options. • Develops periodic management reports for performance measurement of different business units and the organization. • Provides decision support to leadership by monitoring revenue and costs against the budgets and forecasts and explaining variance through root cause analysis. • Supports decision making by providing ad hoc financial and key performance indicator analyzes that influence leadership decision making. Qualifications: You must possess the minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. This position is not eligible for Intel's immigration sponsorship. Minimum Qualifications: • Bachelor's degree or Advance student in Finance, Business Administration, Accounting, or similar field. Preferred Qualifications: • 1+ year of related practical experience in financial roles • Intermediate Excel for Data Analysis (Managing large sets of data) • Knowledge of Power BI • Knowledge of SAP Job Type:College Grad Shift:Shift 1 (United States of America) Primary Location: US, Arizona, Phoenix Additional Locations:US, Oregon, Hillsboro Business group:Join Intel's Finance Group, a key player in driving strategic business decisions that enhance shareholder value. Our team is dedicated to facilitating change and improvement across finance and the operations we support. As strategic partners, we lead acquisitions and inorganic growth initiatives, managing transactions from ideation to completion while serving as trusted advisors to executive leadership. We also design and support Intel's IT infrastructure, driving e-Commerce and web services with a focus on robust security and identity protection. Our innovative supply chain solutions propel Intel's market initiatives, ensuring seamless support and maximizing revenue opportunities. Additionally, we enhance employee experiences by maintaining Intel sites globally and advancing environmental sustainability efforts. Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/A Benefits: We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here: https://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003 Annual Salary Range for jobs which could be performed in the US: $68,640.00-$88,520.00 Salaryrangedependent on a number of factors including location and experience. Work Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
Design and develop AI-powered debugging tools leveraging LLMs and local/cloud inference frameworks to optimize power and performance on client platforms. | Bachelor's or higher in CS or related field with 5-8+ years experience shipping production-grade software, strong programming skills in Go/Python/C#/C++, understanding of LLMs, cloud AI services, ML fundamentals, and Windows app development. | Job Details: Job Description: Job Description CCE Client Customer Engineering is seeking a hands-on Software Engineer to lead the development of an AI-powered debug tool designed to analyze and optimize power and performance on client platforms by analyzing IT environments. This tool will leverage Large Language Models (LLMs) to assist users in diagnosing system-level issues, with support for both local inference (via OpenVINO, ONNX, or similar frameworks) and cloud-based execution. This role is ideal for someone who thrives on solving complex technical challenges, shipping real products, and hacking together innovative solutions that work across diverse hardware and software environments. You'll work closely with OEMs, ISVs, and internal teams to build scalable, intelligent tools that enhance battery life, thermal efficiency, and system responsiveness. Scope of work includes: - Designing and developing LLM-powered debugging tools for power and performance analysis. - Implementing local inference pipelines using frameworks like OpenVINO, ONNX Runtime, or TensorRT. - Integrating telemetry data, system logs, and performance counters into intelligent diagnostics. - Collaborating with customers to gather requirements, troubleshoot issues, and deliver tailored solutions. - Building APIs, background services, and UI/UX components for interactive debugging workflows. - Writing robust, testable, and maintainable code with clear documentation. - Driving cross-functional alignment and execution across engineering and product teams. - Staying current with emerging trends in AI/ML, edge inference, and system optimization. The ideal candidate should exhibit the following professional traits: - Comfortable working in ambiguous environments with a hacker mindset-you make things work. - Excellent communication skills and a collaborative, customer-first attitude. Qualifications: Bachelor's degree in Computer Science, Computer Engineering, Software Engineering or related field and 8+ years of relevant industry experience. OR Master degree in Computer Science, Computer Engineering, Software Engineering or related field and 5+ years of relevant industry experience. OR PhD degree in Computer Science, Computer Engineering, Software Engineering or related field and 3+ years of relevant industry experience. The experience must include: - Experience shipping production-grade software tools or developer platforms. - Programming skills in Go, Python, C# or C++. - Understanding of LLMs, RAG architectures, and embedding techniques. - Understanding of cloud-based AI services (e.g., Azure Open-AI, Hugging Face, etc.). - Machine learning fundamentals, including classification, anomaly detection, and reinforcement learning. -Experience developing windows applications. Preferred qualifications: - Experience with power and performance debugging, battery life optimization, or thermal/power telemetry is a strong plus. - Familiarity with local inference optimization using OpenVINO, ONNX, or similar. - Ability to design modular, scalable systems that support multiple Software Vendor integrations. Job Type:Experienced Hire Shift:Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro Additional Locations:US, California, Folsom Business group:The Platform Engineering Group (PEG) defines, architects, validates and deploys all Intel's platforms. PEG works across Intel's product portfolio and engineering functions to ensure our platforms maximize value to our customers, their users and Intel's business. Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/A Benefits: We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here: https://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003 Annual Salary Range for jobs which could be performed in the US: $201,730.00-$284,800.00 Salaryrangedependent on a number of factors including location and experience. Work Model for this Role This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
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