3 Validation Tools Jobs

Development and support of test generation frameworks for SoC system validation, including a Linux based framework and a Clang/LLVM based compiler and bare metal (OS less) framework. These frameworks play a crucial role in enhancing validation efficiency by enabling post-si validation stress and shifting validation left to the pre-si stage, ultimately resulting in shorter Time to Market (TTM) for Intel products. The responsibilities of this role encompass the development of Linux kernel modules/device drivers and compiler extensions to facilitate SoC flows (e.g., Coherency, PCIe, Power Management, Security). This involves aiding in the ease of test content creation and reuse, as well as validating these capabilities on pre/post-si platforms. As a part of this role, close collaboration with internal customers from the validation teams is expected to devise solutions to challenges, leveraging formal education, software processes, and a deep understanding of the product architecture domain. Minimum Qualifications for this position include a Bachelor's or Master's degree in Computer Science, Computer Engineering, or Electrical Engineering, along with at least 3 years of experience (for Btech) or 2 years of experience (for Mtech) in CC programming with Object-Oriented Programming (OOP). Additionally, a minimum of 2 years of experience with Computer System Architecture is required. The ideal candidate should be self-initiated and a collaborative team player in an Agile project environment. Preferred Qualifications entail prior experience with PC bus protocols such as PCIe, USB, DPHDMI, familiarity with GIT revision system, compilers, Windows or Linux device drivers, knowledge in makefile build environment and scripting languages. Moreover, expertise in developing or utilizing validation tools would be considered highly advantageous. The Intel Validation Engineering (iVE) team contributes significantly on a daily basis to sustain and enhance Intel's product leadership. This team is responsible for validating, debugging, and optimizing the latest designs and groundbreaking technologies that impact lives worldwide. The iVE team plays a pivotal role in meeting the Product Release Qualifications (PRQs) of Intel products and in ensuring the timely delivery of annual technology platforms as outlined in the roadmap. This role is part of our hybrid work model, allowing employees to divide their work time between on-site activities at the assigned Intel site and remote work. Please note that job posting details, including work model, location, or time type, are subject to change.,

Responsibilities Understanding the broad design of an electronic trading flow : This includes the order execution cycle, software stack, and interconnected systems. Understanding underlying business context and trading activity profile : For the e-trading flow, this involves understanding financial products traded, order types, market structure and rules, and regulations. Understanding different trading algorithms : This involves order execution and market making, and evaluating their business logic and implementation in code. Understanding market conduct risks : This involves analyzing how these risks are involved in trading algorithms. Understanding the design and implementation of key software-based pre-trade controls : This includes code walkthroughs, control coverage analysis, and control design best practices analysis. Validate the design, implementation, and effectiveness of software controls : This ensures they mitigate market disruption, financial, and operational risks in e-trading flows, and involves identifying potential gaps. Communicate the results and outcomes of validation : This includes identified gaps to key stakeholders in business and risk, and tracking gap remediation. Review and approval of electronic trading software control changes on an ongoing basis. Development of software tools to enhance, automate, and build efficiency into the validation workflow. Long-Term Growth and Exposure Over time, this role offers broad exposure to financial products, market structures, various algorithmic trading strategies, and technology systems. The individual would be expected to: Become a subject matter expert in the electronic markets : This involves understanding the trading software stack, trading algorithms, potential market conduct risk in such algorithms, business and regulatory concerns, and devising automated control mechanisms to improve our control structure. Promulgate best control practices across global electronic trading activities. Provide thought leadership to review, analyze the impact of, and implement controls for new electronic trading regulatory requirements. This role provides a unique opportunity to build a solid foundation in financial markets and operational, model, and market conduct risk management concepts, while staying at the cutting edge of technology in the electronic trading space. Basic Qualifications Bachelor's or Master's in Computer Science, Technology, or a related field with a minimum of 2 years of relevant experience. Strong knowledge of Financial Markets, Products, Trading Algorithms, and their implementation in code . Working knowledge of data structures, algorithms, programming paradigms . Excellent influencing skills at all levels and the ability to develop and maintain good relationships with senior leadership, stakeholders, and colleagues. Self-motivated with an ability to work independently with a strong sense of ownership and accountability. Preferred Qualifications Experience in development or validation of algorithmic trading models or trading software . Experience of working with Market Conduct Risk .

Responsibilities Understanding the broad design of an electronic trading flow : This includes the order execution cycle, software stack, and interconnected systems. Understanding underlying business context and trading activity profile : For the e-trading flow, this involves understanding financial products traded, order types, market structure and rules, and regulations. Understanding different trading algorithms : This involves order execution and market making, and evaluating their business logic and implementation in code. Understanding market conduct risks : This involves analyzing how these risks are involved in trading algorithms. Understanding the design and implementation of key software-based pre-trade controls : This includes code walkthroughs, control coverage analysis, and control design best practices analysis. Validate the design, implementation, and effectiveness of software controls : This ensures they mitigate market disruption, financial, and operational risks in e-trading flows, and involves identifying potential gaps. Communicate the results and outcomes of validation : This includes identified gaps to key stakeholders in business and risk, and tracking gap remediation. Review and approval of electronic trading software control changes on an ongoing basis. Development of software tools to enhance, automate, and build efficiency into the validation workflow. Long-Term Growth and Exposure Over time, this role offers broad exposure to financial products, market structures, various algorithmic trading strategies, and technology systems. The individual would be expected to: Become a subject matter expert in the electronic markets : This involves understanding the trading software stack, trading algorithms, potential market conduct risk in such algorithms, business and regulatory concerns, and devising automated control mechanisms to improve our control structure. Promulgate best control practices across global electronic trading activities. Provide thought leadership to review, analyze the impact of, and implement controls for new electronic trading regulatory requirements. The role provides individuals with the unique value proposition of building a solid foundation of financial markets and operational, model, and market conduct risk management concepts yet remaining close to the cutting edge of technology in electronic trading space. Basic Qualifications Bachelor's or Master's in Computer Science, Technology, or a related field with a minimum of 2 years of relevant experience. Strong knowledge of Financial Markets, Products, Trading Algorithms, and their implementation in code. Working knowledge of data structures, algorithms, programming paradigms. Excellent influencing skills at all levels and the ability to develop and maintain good relationships with senior leadership, stakeholders, and colleagues. Self-motivated with an ability to work independently with a strong sense of ownership and accountability. Preferred Qualifications Experience in development or validation of algorithmic trading models or trading software. Experience of working with Market conduct Risk.