Systems Integration Engineer jobs at Google

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Software Engineer, Systems Responsibilities: 1. Research, design, develop, build and test operating systems-level software, compilers, and network distribution software for large distributed components that run Facebook. 2. Build new features and improve existing products. 3. Work on problems of moderate scope, push code, drive the development of the systems behind Facebook's products, create web applications that reach billions of people, build high volume servers, and be a part of a team to connect people around the globe. 4. Develop a strong understanding of relevant product area, codebase, and/or systems. 5. Demonstrate proficiency in data analysis, programming and software engineering. 6. Produce high quality code with good test coverage, using modern abstractions and frameworks. 7. Receiving general instructions on routine work and detailed instructions on new projects or assignments, work independently, use available resources to get unblocked, and complete tasks on-schedule by exercising strong judgement and problem solving skills. 8. Master Facebook's development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity. 9. Actively seek and give feedback in alignment with Facebook's Performance Philosophy. 10. Telecommuting from anywhere in the U.S. allowed. **Minimum Qualifications:** Minimum Qualifications: 11. Bachelor's degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and 2 years of work experience in the job offered or in a computer-related occupation 12. Requires 2 years of experience in the following: 13. Coding in an industry-standard language (e.g. Java, Python, C++, or JavaScript) 14. Relational databases and SQL 15. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce) 16. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting 17. Core web technologies: HTML, CSS, or JavaScript 18. Build highly-scalable performant solutions 19. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction, AND 20. Distributed systems **Public Compensation:** $211,118/year to $240,240/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

In this role, you will be a member of the MTIA (Meta Training & Inference Accelerator) Software team and part of the bigger industry-leading PyTorch AI framework organization. MTIA Software Team has been developing a comprehensive AI Compiler strategy that delivers a highly flexible platform to train & serve new DL/ML model architectures, combined with auto-tuned high performance for production environments across specialized hardware architectures. The compiler stack, DL graph optimizations, and kernel authoring for specific hardware, directly impacts performance and deployment velocity of both AI training and inference platforms at Meta.You will be working on one of the core areas such as PyTorch framework components, AI compiler and runtime, high-performance kernels and tooling to accelerate machine learning workloads on the current & next generation of MTIA AI hardware platforms. You will work closely with AI researchers to analyze deep learning models and lower them efficiently on MTIA hardware. You will also partner with hardware design teams to develop compiler optimizations for high performance. You will apply software development best practices to design features, optimization, and performance tuning techniques. You will gain valuable experience in developing machine learning compiler frameworks and will help in driving next generation hardware software codesign for AI domain specific problems. **Required Skills:** Software Engineer, Systems ML - Frameworks / Compilers / Kernels Responsibilities: 1. Development of SW stack with one of the following core focus areas: AI frameworks, compiler stack, high performance kernel development and acceleration onto next generation of hardware architectures 2. Contribute to the development of the industry-leading PyTorch AI framework core compilers to support new state of the art inference and training AI hardware accelerators and optimize their performance 3. Analyze deep learning networks, develop & implement compiler optimization algorithms 4. Collaborating with AI research scientists to accelerate the next generation of deep learning models such as Recommendation systems, Generative AI, Computer vision, NLP etc 5. Performance tuning and optimizations of deep learning framework & software components **Minimum Qualifications:** Minimum Qualifications: 6. Proven C/C++ programming skills 7. Experience in AI framework development or accelerating deep learning models on hardware architectures 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience **Preferred Qualifications:** Preferred Qualifications: 9. OR AI Compiler: Experience with compiler optimizations such as loop optimizations, vectorization, parallelization, hardware specific optimizations such as SIMD. Experience with MLIR, LLVM, IREE, XLA, TVM, Halide is a plus. 10. OR AI frameworks: Experience in developing training and inference framework components. Experience in system performance optimizations such as runtime analysis of latency, memory bandwidth, I/O access, compute utilization analysis and associated tooling development. 11. OR AI high performance kernels: Experience with CUDA programming, OpenMP / OpenCL programming or AI hardware accelerator kernel programming. Experience in accelerating libraries on AI hardware, similar to cu BLAS, cu DNN, CUTLASS, HIP, ROCm etc. 12. A Bachelor's degree in Computer Science, Computer Engineering, relevant technical field and 7+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a Master's degree in Computer Science, Computer Engineering, relevant technical field and 4+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a PhD in Computer Science Computer Engineering, or relevant technical field and 3+ years of experience in AI framework development or accelerating deep learning models on hardware architectures. 13. Experience working with frameworks like PyTorch, Caffe2, TensorFlow, ONNX, TensorRT 14. Knowledge of GPU, CPU, or AI hardware accelerator architectures. **Public Compensation:** $70.67/hour to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

**Senior Systems Engineer - Integrated Flight Deck Systems (System Development & Integration)** **Work Type:** **Remote** **Team:** **Control Systems Center of Excellence (CS CoE)** Join a team that's shaping the future of aviation! At our Control Systems Center of Excellence, we design and develop cutting-edge avionics for air transport, regional, and business aircraft. We're looking for a **Senior Systems Engineer** who thrives on solving complex challenges and wants to make an impact in the next generation of flight deck systems. **What You'll Do** As part of our dynamic systems engineering team, you'll play a key role in **requirements development, integration, and validation** for advanced display systems. Your work will directly influence the performance and safety of modern aircraft. **Your responsibilities will include:** + Translating customer needs into clear, actionable system requirements. + Designing and analyzing system-level requirements for hardware and software. + Developing and maintaining system software requirements. + Collaborating with software development and verification teams. + Troubleshooting and resolving integration issues across hardware and software. + Coordinating with flight control system interfaces. + Supporting hardware/software checkout and system bench development. + Investigating and resolving integration challenges and customer-reported issues. + Driving enhancements and continuous improvement for Gulfstream and other programs. You'll work closely with customers, certification agencies, suppliers, and global engineering teams-so strong communication and collaboration skills are essential. **Basic Qualifications** + **Education:** Bachelor's or Master's degree in Aerospace Engineering, Systems Engineering, or related field. + **Experience:** 6 years in avionics or display systems development and analysis. + **Eligibility:** U.S. Citizen or Permanent Resident (due to export control requirements). **Must Have Qualifications:** + Systems engineering experience with display systems. + Strong background in defining and analyzing system-level requirements. + Hands-on experience resolving hardware/software integration issues. + Familiarity with tools like multimeters, logic analyzers, and oscilloscopes. **Preferred Skills** + Advanced degree in Aerospace or Systems Engineering. + Experience with requirements management tools (e.g., DOORS). + Knowledge of avionics certification standards. + Ability to solve complex technical problems within schedule and budget. + Integration and test experience in lab or flight environments. + Familiarity with configuration management tools (ClearCase/ClearQuest). + Background in debugging/testing avionics systems using simulation or hardware-in-loop environments. **Life at Capgemini** Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: + Flexible work + Healthcare including dental, vision, mental health, and well-being programs + Financial well-being programs such as 401(k) and Employee Share Ownership Plan + Paid time off and paid holidays + Paid parental leave + Family building benefits like adoption assistance, surrogacy, and cryopreservation + Social well-being benefits like subsidized back-up child/elder care and tutoring + Mentoring, coaching and learning programs + Employee Resource Groups + Disaster Relief **About Capgemini Engineering** World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 65,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet. Capgemini Engineering is an integral part of the Capgemini Group, a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of 22.1 billion. Get the future you want | ***************** Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $130,000.00-$150,000.00. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. **Disclaimer** Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant http://*****************/resources/equal-employment-opportunity-is-the-law Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. **Job:** _Developer_ **Organization:** _ERD PPL US_ **Title:** _Sr. Systems Engineer (Remote)_ **Location:** _AZ-Phoenix_ **Requisition ID:** _082480_

Introduction IBM Infrastructure is a catalyst that makes the world work better because our clients demand it. Heterogeneous environments, the explosion of data, digital automation, and cybersecurity threats require hybrid cloud infrastructure that only IBM can provide. Your ability to be creative, a forward-thinker and to focus on innovation that matters, is all support by our growth minded culture as we continue to drive career development across our teams. Collaboration is key to IBM Infrastructure success, as we bring together different business units and teams that balance their priorities in a way that best serves our client's needs. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. Your role and responsibilities We are seeking a motivated and technically skilled early-career professional to join our AI and Data Science development team. As a Junior Developer, you will contribute to the design, development, and implementation of AI solutions and look for ways to effienciently collect, clean, analyze, and visualize data to support business decisions that support real-world applications across enterprise systems. This role is ideal for someone with a strong foundation in machine learning and software engineering who is eager to grow in a collaborative, innovation-driven environment. You will work with Senior Developers to build models helping to create predictive models, generate insights and help optimize company performance. Required education High School Diploma/GED Preferred education Bachelor's Degree Required technical and professional expertise * Proficiency in Python and experience with libraries such as NumPy, pandas, scikit-learn.• Solid understanding of machine learning algorithms and model evaluation techniques.• Experience with Git and collaborative development workflows.• Ability to work with structured and unstructured data, including preprocessing and transformation.• Familiarity with software engineering principles and debugging practices.• Strong analytical and problem-solving skills. Preferred technical and professional experience * Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).• Exposure to model deployment using Docker, REST APIs, or cloud platforms (AWS, Azure, GCP).• Understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines).• Knowledge of distributed systems, storage architectures (e.g., IBM Storage Scale), and performance optimization.• Familiarity with Linux environments and container orchestration (e.g., Kubernetes, OpenShift).• Awareness of ethical AI principles, including fairness, transparency, and bias mitigation. ABOUT BUSINESS UNIT IBM Systems helps IT leaders think differently about their infrastructure. IBM servers and storage are no longer inanimate - they can understand, reason, and learn so our clients can innovate while avoiding IT issues. Our systems power the world's most important industries and our clients are the architects of the future. Join us to help build our leading-edge technology portfolio designed for cognitive business and optimized for cloud computing. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

**Introduction** IBM Infrastructure is a catalyst that makes the world work better because our clients demand it. Heterogeneous environments, the explosion of data, digital automation, and cybersecurity threats require hybrid cloud infrastructure that only IBM can provide. Your ability to be creative, a forward-thinker and to focus on innovation that matters, is all support by our growth minded culture as we continue to drive career development across our teams. Collaboration is key to IBM Infrastructure success, as we bring together different business units and teams that balance their priorities in a way that best serves our client's needs. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. **Your role and responsibilities** We are seeking a motivated and technically skilled early-career professional to join our AI and Data Science development team. As a Junior Developer, you will contribute to the design, development, and implementation of AI solutions and look for ways to effienciently collect, clean, analyze, and visualize data to support business decisions that support real-world applications across enterprise systems. This role is ideal for someone with a strong foundation in machine learning and software engineering who is eager to grow in a collaborative, innovation-driven environment. You will work with Senior Developers to build models helping to create predictive models, generate insights and help optimize company performance. **Required technical and professional expertise** - Proficiency in Python and experience with libraries such as NumPy, pandas, scikit-learn. - Solid understanding of machine learning algorithms and model evaluation techniques. - Experience with Git and collaborative development workflows. - Ability to work with structured and unstructured data, including preprocessing and transformation. - Familiarity with software engineering principles and debugging practices. - Strong analytical and problem-solving skills. **Preferred technical and professional experience** - Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). - Exposure to model deployment using Docker, REST APIs, or cloud platforms (AWS, Azure, GCP). - Understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines). - Knowledge of distributed systems, storage architectures (e.g., IBM Storage Scale), and performance optimization. - Familiarity with Linux environments and container orchestration (e.g., Kubernetes, OpenShift). - Awareness of ethical AI principles, including fairness, transparency, and bias mitigation. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Introduction IBM Infrastructure is a catalyst that makes the world work better because our clients demand it. Heterogeneous environments, the explosion of data, digital automation, and cybersecurity threats require hybrid cloud infrastructure that only IBM can provide. Your ability to be creative, a forward-thinker and to focus on innovation that matters, is all support by our growth minded culture as we continue to drive career development across our teams. Collaboration is key to IBM Infrastructure success, as we bring together different business units and teams that balance their priorities in a way that best serves our client's needs. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. Your role and responsibilities We are seeking a motivated and technically skilled early-career professional to join our AI and Data Science development team. As a Junior Developer, you will contribute to the design, development, and implementation of AI solutions and look for ways to effienciently collect, clean, analyze, and visualize data to support business decisions that support real-world applications across enterprise systems. This role is ideal for someone with a strong foundation in machine learning and software engineering who is eager to grow in a collaborative, innovation-driven environment. You will work with Senior Developers to build models helping to create predictive models, generate insights and help optimize company performance. Required education High School Diploma/GED Preferred education Bachelor's Degree Required technical and professional expertise * Proficiency in Python and experience with libraries such as NumPy, pandas, scikit-learn.• Solid understanding of machine learning algorithms and model evaluation techniques.• Experience with Git and collaborative development workflows.• Ability to work with structured and unstructured data, including preprocessing and transformation.• Familiarity with software engineering principles and debugging practices.• Strong analytical and problem-solving skills. Preferred technical and professional experience * Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).• Exposure to model deployment using Docker, REST APIs, or cloud platforms (AWS, Azure, GCP).• Understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines).• Knowledge of distributed systems, storage architectures (e.g., IBM Storage Scale), and performance optimization.• Familiarity with Linux environments and container orchestration (e.g., Kubernetes, OpenShift).• Awareness of ethical AI principles, including fairness, transparency, and bias mitigation. ABOUT BUSINESS UNIT IBM Systems helps IT leaders think differently about their infrastructure. IBM servers and storage are no longer inanimate - they can understand, reason, and learn so our clients can innovate while avoiding IT issues. Our systems power the world's most important industries and our clients are the architects of the future. Join us to help build our leading-edge technology portfolio designed for cognitive business and optimized for cloud computing. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

**Introduction** IBM Infrastructure is a catalyst that makes the world work better because our clients demand it. Heterogeneous environments, the explosion of data, digital automation, and cybersecurity threats require hybrid cloud infrastructure that only IBM can provide. Your ability to be creative, a forward-thinker and to focus on innovation that matters, is all support by our growth minded culture as we continue to drive career development across our teams. Collaboration is key to IBM Infrastructure success, as we bring together different business units and teams that balance their priorities in a way that best serves our client's needs. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. **Your role and responsibilities** We are seeking a motivated and technically skilled early-career professional to join our AI and Data Science development team. As a Junior Developer, you will contribute to the design, development, and implementation of AI solutions and look for ways to effienciently collect, clean, analyze, and visualize data to support business decisions that support real-world applications across enterprise systems. This role is ideal for someone with a strong foundation in machine learning and software engineering who is eager to grow in a collaborative, innovation-driven environment. You will work with Senior Developers to build models helping to create predictive models, generate insights and help optimize company performance. **Required technical and professional expertise** - Proficiency in Python and experience with libraries such as NumPy, pandas, scikit-learn. - Solid understanding of machine learning algorithms and model evaluation techniques. - Experience with Git and collaborative development workflows. - Ability to work with structured and unstructured data, including preprocessing and transformation. - Familiarity with software engineering principles and debugging practices. - Strong analytical and problem-solving skills. **Preferred technical and professional experience** - Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). - Exposure to model deployment using Docker, REST APIs, or cloud platforms (AWS, Azure, GCP). - Understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines). - Knowledge of distributed systems, storage architectures (e.g., IBM Storage Scale), and performance optimization. - Familiarity with Linux environments and container orchestration (e.g., Kubernetes, OpenShift). - Awareness of ethical AI principles, including fairness, transparency, and bias mitigation. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

The Site Operations team is responsible for the delivery of data center compute and storage at Meta, enabling our family of apps and services to support a growing global community. We are seeking a forward-thinking individual skilled across multiple disciplines to lead global initiatives on this team. The mission of this role is to identify and tackle the biggest technical and operational challenges and opportunities before SiteOps. The Infrastructure Engineer is expected to personally advance our highest impact initiatives, and to work with others to closure through the right working groups and delegates. The scope of the role is Infra-wide; the DC Infra Engineer is expected to work with the data center teams, Core Systems, CEA, PE, and hardware engineering to architect and implement adaptable solutions that transform our infrastructure in dimensions including performance, efficiency, quality, and resiliency. Areas of emphasis include next gen platforms, tools, and technologies; the interplay between our platforms and data centers; and the underlying architecture of our infrastructure including physical vs logical layer trade-offs. **Required Skills:** Global Infrastructure Engineer Responsibilities: 1. Represent Site Operations in leading work to define and architect new solutions on global initiatives, working with stakeholders across Infra Data Centers & Infrastructure teams 2. Assemble and lead teams to address complex engineering challenges, requiring technical expertise as well as a broad understanding of Meta's overall infrastructure 3. Address issues that can be ambiguous and global in nature, requiring leadership and collaboration across time zones, teams, and technical domains 4. Act as key SME and mentor in the design, operation, and troubleshooting of tools, technologies, and processes utilized within Site Operations 5. Understand and assess risks and challenges associated with emerging new hardware, data center and software technologies, and define & implement effective mitigations for these 6. Employ a holistic understanding of the full infrastructure stack to lead solutions that appropriately balance physical and logical layer 7. Act as a global communication and advisory point of contact for the design, implementation and delivery of projects that affect our global data center and server fleet and facilitate resolution of issues drawing on local expertise and global support partners 8. Leverage data-driven methodologies to understand a problem at the onset, define a plan, and measure progress throughout a project 9. Provide data supplied narratives and ensure a focus on continuous improvement 10. Build and support, trusted, cross-functional connections with teams across the globe and serve as an advocate for the Site Operations Team with key stakeholders, influencing policies and procedures to improve global data center operations 11. Approximately 20% - 30% travel **Minimum Qualifications:** Minimum Qualifications: 12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 13. Knowledge of the full stack of infrastructure, with experience building or operating logical infrastructure on top of a complex, distributed physical infrastructure 14. Proven communication skills and experience working in a highly distributed environment, across teams/department boundaries 15. 10+ years of technical experience, in a large-scale data center or IT Infrastructure environment, or equivalent experience building platforms and systems for large scale compute 16. Experience building globally scalable solutions and translating global strategic initiatives into local executable projects 17. Knowledge of the interdependencies of data center functions and technologies including electrical, cooling, structured cabling, security, network, server and storage systems 18. Experience building, operating, and scaling with Linux or Unix Operating systems 19. Experience communicating the results of analysis and insights to cross functional teams and influencing the strategy of these teams 20. Experience with Data Center Design and Expansion **Preferred Qualifications:** Preferred Qualifications: 21. Extensive knowledge of storage and AI/ML related services and the hardware that supports them 22. Coding or scripting experience such as Bash, PHP, Python, SQL, or Perl 23. Experience in providing technical guidance to external vendors and partners. Knowledge and experience with virtualization, containerization, distributed systems, fault tolerance, and incident management 24. Experience with high level data center design, operations, basic electrical/mechanical infrastructure, and scaling physical infrastructure **Public Compensation:** $191,000/year to $262,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta is seeking a forward thinking, experienced Data Center Systems Engineer to join the Data Center Site Operations team. Our data centers, and the tens of thousands of servers installed in them, are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. Meta is at the leading edge of the global data center industry both in terms of how data centers are designed and operated. This person should enjoy working in a fast-paced environment where adaptability and flexibility will be key to their success. We seek a forward-thinking IT professional with experience utilizing multiple varied software tools to identify automation solutions intended to address complex operational issues. This role is cross-functional and considers the technical needs of frontline users to identify and automate diagnostic tooling which enables quality and efficient delivery of production servers. They should have demonstrated experience of performing data analysis to drive decisions on the top priorities to automate repairs on servers in a hyperscale environment. An engineer who can drive solutions with code, through collaboration, clear and timely communication with global teams. **Required Skills:** Global Systems Engineer Responsibilities: 1. Deliver maximum server fleet up-time and utilization rates, by leveraging data to understand hardware failure conditions and root cause. Identify trends and systemic issues in the fleet and drive resolution 2. Collaborate with stakeholders and subject matter experts to interpret business and operational needs, articulate success criteria in partnership with engineering and field based operations teams 3. Build cross functional relationships and have the capacity to influence policies and procedures to improve global data center operations 4. Mentor team members to evaluate and identify better ways to resolve issues and define updates to tools and processes 5. Write and review code, develop documentation, and debug the hardest problems, live, on some of the largest and most complex systems in the world 6. Participate in defining diagnostic tooling requirements with multiple cross-functional support teams 7. Execute validation and verification activities for the new product integration, including system level testing 8. Through consistent collaboration with cross-functional tooling teams, help determine root cause and provide input into their development process, with an operations central view of how open issues are affecting the fleet 9. Capacity to travel up to 25% required **Minimum Qualifications:** Minimum Qualifications: 10. Engineering degree or commensurate experience 11. 7+ years of experience in systems infrastructure operations or related field 12. Experience in configuration and maintenance of applications such as web servers, load balancers, relational databases, storage systems and messaging systems 13. Experience coding in higher-level languages (e.g., Python, PHP, C++, or Java) 14. Experience learning software, frameworks and APIs 15. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 16. Experienced with Linux systems **Public Compensation:** $132,000/year to $191,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta is seeking a forward thinking, experienced Data Center Systems Engineer to join the Data Center Site Operations team. Our data centers, and the tens of thousands of servers installed in them, are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. Meta is at the leading edge of the global data center industry both in terms of how data centers are designed and operated. This person should enjoy working in a fast-paced environment where adaptability and flexibility will be key to their success. We seek a forward-thinking IT professional with experience utilizing multiple varied software tools to identify automation solutions intended to address complex operational issues. This role is cross-functional and considers the technical needs of frontline users to identify and automate diagnostic tooling which enables quality and efficient delivery of production servers. They should have demonstrated experience of performing data analysis to drive decisions on the top priorities to automate repairs on servers in a hyperscale environment. An engineer who can drive solutions with code, through collaboration, clear and timely communication with global teams. Minimum Qualifications * Engineering degree or commensurate experience * 7+ years of experience in systems infrastructure operations or related field * Experience in configuration and maintenance of applications such as web servers, load balancers, relational databases, storage systems and messaging systems * Experience coding in higher-level languages (e.g., Python, PHP, C++, or Java) * Experience learning software, frameworks and APIs * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * Experienced with Linux systems Responsibilities * Deliver maximum server fleet up-time and utilization rates, by leveraging data to understand hardware failure conditions and root cause. Identify trends and systemic issues in the fleet and drive resolution * Collaborate with stakeholders and subject matter experts to interpret business and operational needs, articulate success criteria in partnership with engineering and field based operations teams * Build cross functional relationships and have the capacity to influence policies and procedures to improve global data center operations * Mentor team members to evaluate and identify better ways to resolve issues and define updates to tools and processes * Write and review code, develop documentation, and debug the hardest problems, live, on some of the largest and most complex systems in the world * Participate in defining diagnostic tooling requirements with multiple cross-functional support teams * Execute validation and verification activities for the new product integration, including system level testing * Through consistent collaboration with cross-functional tooling teams, help determine root cause and provide input into their development process, with an operations central view of how open issues are affecting the fleet * Capacity to travel up to 25% required About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

The Site Operations team is responsible for the delivery of data center compute and storage at Meta, enabling our family of apps and services to support a growing global community. We are seeking a forward-thinking individual skilled across multiple disciplines to lead global initiatives on this team. The mission of this role is to identify and tackle the biggest technical and operational challenges and opportunities before SiteOps. The Infrastructure Engineer is expected to personally advance our highest impact initiatives, and to work with others to closure through the right working groups and delegates. The scope of the role is Infra-wide; the DC Infra Engineer is expected to work with the data center teams, Core Systems, CEA, PE, and hardware engineering to architect and implement adaptable solutions that transform our infrastructure in dimensions including performance, efficiency, quality, and resiliency. Areas of emphasis include next gen platforms, tools, and technologies; the interplay between our platforms and data centers; and the underlying architecture of our infrastructure including physical vs logical layer trade-offs. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * Knowledge of the full stack of infrastructure, with experience building or operating logical infrastructure on top of a complex, distributed physical infrastructure * Proven communication skills and experience working in a highly distributed environment, across teams/department boundaries * 10+ years of technical experience, in a large-scale data center or IT Infrastructure environment, or equivalent experience building platforms and systems for large scale compute * Experience building globally scalable solutions and translating global strategic initiatives into local executable projects * Knowledge of the interdependencies of data center functions and technologies including electrical, cooling, structured cabling, security, network, server and storage systems * Experience building, operating, and scaling with Linux or Unix Operating systems * Experience communicating the results of analysis and insights to cross functional teams and influencing the strategy of these teams * Experience with Data Center Design and Expansion Preferred Qualifications * Extensive knowledge of storage and AI/ML related services and the hardware that supports them * Coding or scripting experience such as Bash, PHP, Python, SQL, or Perl * Experience in providing technical guidance to external vendors and partners. Knowledge and experience with virtualization, containerization, distributed systems, fault tolerance, and incident management * Experience with high level data center design, operations, basic electrical/mechanical infrastructure, and scaling physical infrastructure Responsibilities * Represent Site Operations in leading work to define and architect new solutions on global initiatives, working with stakeholders across Infra Data Centers & Infrastructure teams * Assemble and lead teams to address complex engineering challenges, requiring technical expertise as well as a broad understanding of Meta's overall infrastructure * Address issues that can be ambiguous and global in nature, requiring leadership and collaboration across time zones, teams, and technical domains * Act as key SME and mentor in the design, operation, and troubleshooting of tools, technologies, and processes utilized within Site Operations * Understand and assess risks and challenges associated with emerging new hardware, data center and software technologies, and define & implement effective mitigations for these * Employ a holistic understanding of the full infrastructure stack to lead solutions that appropriately balance physical and logical layer * Act as a global communication and advisory point of contact for the design, implementation and delivery of projects that affect our global data center and server fleet and facilitate resolution of issues drawing on local expertise and global support partners * Leverage data-driven methodologies to understand a problem at the onset, define a plan, and measure progress throughout a project * Provide data supplied narratives and ensure a focus on continuous improvement * Build and support, trusted, cross-functional connections with teams across the globe and serve as an advocate for the Site Operations Team with key stakeholders, influencing policies and procedures to improve global data center operations * Approximately 20% - 30% travel About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

**Senior Systems Engineer - Integrated Flight Deck Systems (System Development & Integration) (Remote)** **Work Type:** Remote - Work hours are mountain or Pacific time **Team:** Control Systems Center of Excellence (CS CoE) Join a team that's shaping the future of aviation! At our Control Systems Center of Excellence, we design and develop cutting-edge avionics for air transport, regional, and business aircraft. We're looking for a **Senior Systems Engineer** who thrives on solving complex challenges and wants to make an impact in the next generation of flight deck systems. **What You'll Do** As part of our dynamic systems engineering team, you'll play a key role in **requirements development, integration, and validation** for advanced display systems. Your work will directly influence the performance and safety of modern aircraft. **Your responsibilities will include:** + Translating customer needs into clear, actionable system requirements. + Designing and analyzing system-level requirements for hardware and software. + Developing and maintaining system software requirements. + Collaborating with software development and verification teams. + Troubleshooting and resolving integration issues across hardware and software. + Coordinating with flight control system interfaces. + Supporting hardware/software checkout and system bench development. + Investigating and resolving integration challenges and customer-reported issues. + Driving enhancements and continuous improvement for Gulfstream and other programs. You'll work closely with customers, certification agencies, suppliers, and global engineering teams-so strong communication and collaboration skills are essential. **Basic Qualifications** + **Education:** Bachelor's or Master's degree in Aerospace Engineering, Systems Engineering, or related field. + **Experience:** 6 years in avionics or display systems development and analysis. + **Eligibility:** U.S. Citizen or Permanent Resident (due to export control requirements). **Must Have Qualifications:** · Systems engineering experience with display systems. · Strong background in defining and analyzing system-level requirements. · Hands-on experience resolving hardware/software integration issues. · Familiarity with tools like multimeters, logic analyzers, and oscilloscopes. **Preferred Skills** + Advanced degree in Aerospace or Systems Engineering. + Experience with requirements management tools (e.g., DOORS). + Knowledge of avionics certification standards. + Ability to solve complex technical problems within schedule and budget. + Integration and test experience in lab or flight environments. + Familiarity with configuration management tools (ClearCase/ClearQuest). + Background in debugging/testing avionics systems using simulation or hardware-in-loop environments. **About Capgemini Engineering** World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 65,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet. Capgemini Engineering is an integral part of the Capgemini Group, a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of 22.1 billion. Get the future you want | ***************** Disclaimer Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant http://*****************/resources/equal-employment-opportunity-is-the-law Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. **Job:** _Developer_ **Organization:** _ERD PPL US_ **Title:** _Senior Systems Engineer - Integrated Flight Deck Systems (Remote)_ **Location:** _AZ-Phoenix_ **Requisition ID:** _082481_

The Site Operations team is responsible for the delivery of data center compute and storage at Meta, enabling our family of apps and services to support a growing global community. We are seeking a forward-thinking individual skilled across multiple disciplines to lead global initiatives on this team. The mission of this role is to identify and tackle the biggest technical and operational challenges and opportunities before SiteOps. The Infrastructure Engineer is expected to personally advance our highest impact initiatives, and to work with others to closure through the right working groups and delegates. The scope of the role is Infra-wide; the DC Infra Engineer is expected to work with the data center teams, Core Systems, CEA, PE, and hardware engineering to architect and implement adaptable solutions that transform our infrastructure in dimensions including performance, efficiency, quality, and resiliency. Areas of emphasis include next gen platforms, tools, and technologies; the interplay between our platforms and data centers; and the underlying architecture of our infrastructure including physical vs logical layer trade-offs. **Required Skills:** Global Infrastructure Engineer Responsibilities: 1. Represent Site Operations in leading work to define and architect new solutions on global initiatives, working with stakeholders across Infra Data Centers & Infrastructure teams 2. Assemble and lead teams to address complex engineering challenges, requiring technical expertise as well as a broad understanding of Meta's overall infrastructure 3. Address issues that can be ambiguous and global in nature, requiring leadership and collaboration across time zones, teams, and technical domains 4. Act as key SME and mentor in the design, operation, and troubleshooting of tools, technologies, and processes utilized within Site Operations 5. Understand and assess risks and challenges associated with emerging new hardware, data center and software technologies, and define & implement effective mitigations for these 6. Employ a holistic understanding of the full infrastructure stack to lead solutions that appropriately balance physical and logical layer 7. Act as a global communication and advisory point of contact for the design, implementation and delivery of projects that affect our global data center and server fleet and facilitate resolution of issues drawing on local expertise and global support partners 8. Leverage data-driven methodologies to understand a problem at the onset, define a plan, and measure progress throughout a project 9. Provide data supplied narratives and ensure a focus on continuous improvement 10. Build and support, trusted, cross-functional connections with teams across the globe and serve as an advocate for the Site Operations Team with key stakeholders, influencing policies and procedures to improve global data center operations 11. Approximately 20% - 30% travel **Minimum Qualifications:** Minimum Qualifications: 12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 13. Knowledge of the full stack of infrastructure, with experience building or operating logical infrastructure on top of a complex, distributed physical infrastructure 14. Proven communication skills and experience working in a highly distributed environment, across teams/department boundaries 15. 10+ years of technical experience, in a large-scale data center or IT Infrastructure environment, or equivalent experience building platforms and systems for large scale compute 16. Experience building globally scalable solutions and translating global strategic initiatives into local executable projects 17. Knowledge of the interdependencies of data center functions and technologies including electrical, cooling, structured cabling, security, network, server and storage systems 18. Experience building, operating, and scaling with Linux or Unix Operating systems 19. Experience communicating the results of analysis and insights to cross functional teams and influencing the strategy of these teams 20. Experience with Data Center Design and Expansion **Preferred Qualifications:** Preferred Qualifications: 21. Extensive knowledge of storage and AI/ML related services and the hardware that supports them 22. Coding or scripting experience such as Bash, PHP, Python, SQL, or Perl 23. Experience in providing technical guidance to external vendors and partners. Knowledge and experience with virtualization, containerization, distributed systems, fault tolerance, and incident management 24. Experience with high level data center design, operations, basic electrical/mechanical infrastructure, and scaling physical infrastructure **Public Compensation:** $191,000/year to $262,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

**Introduction** At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. **Your role and responsibilities** Hakkoda is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone's input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly-growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!. Overview: We are seeking a Senior AI Engineer with a strong track record of developing and deploying AI solutions, particularly in the domain of large language models (LLMs), agents, and retrieval-augmented generation (RAG) pipelines. This role will involve close collaboration with clients to architect, build, and deliver real-world solutions using platforms such as Snowflake, AWS, and Google Cloud. The ideal candidate combines technical depth with a pragmatic, delivery-oriented mindset and has excellent communication skills to lead client engagements and cross-functional teams. Responsibilities: * Solution Architecture: Lead the design and development of LLM-based solutions including RAG pipelines, agent workflows, and generative AI applications. * Multi-Platform Implementation: Develop and deploy AI solutions across Snowflake, AWS, Google Cloud, Databricks, and other enterprise environments. * Client-Facing Delivery: Work directly with clients to understand business needs, propose architectures, and implement solutions that deliver measurable value. * Model Development & Optimization: Fine-tune models, build embedding workflows, implement vector search, and monitor performance in production environments. * Workflow Automation & Integration: Architect AI systems that integrate with cloud-based data pipelines and enterprise tools, ensuring reliability and scalability. * Mentorship & Collaboration: Provide technical leadership, mentor junior engineers, and contribute to the growth of Hakkoda's AI practice. Innovation & Research: Stay informed on emerging AI technologies and bring innovative capabilities into production use As of April 2025, Hakkoda has been acquired by IBM and will be integrated in the IBM organization. Your recruitment process will be managed by IBM. IBM will be the hiring entity. This role can be performed from anywhere in the US. **Required technical and professional expertise** * Education: Bachelor's degree in Computer Science, Data Science, AI, or a related field. * Experience: * Minimum of 5-7 years of experience in AI engineering, machine learning, or related fields. * Demonstrated experience working in a professional services or consulting environment with client-facing responsibilities. * Must-Have Skills and Experience * Proven experience developing and deploying LLM-powered applications into production * Strong background in RAG architecture, vector search, and embedding pipelines * Familiarity with agent frameworks such as LangChain, LlamaIndex, or CrewAI * Expertise in Python, with sound software engineering practices * Experience working with Snowflake, including Cortex and UDFs for AI integration * Hands-on experience deploying AI solutions on multiple cloud platforms (especially AWS and GCP) * Strong client-facing skills, with the ability to lead technical discussions and present to stakeholders * Demonstrated ability to scope, build, and deliver full AI solutions-not just prototypes * Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences, including clients. * Strong leadership skills, with a track record of successfully managing projects and mentoring junior team members. * Problem-solving expertise with a creative approach to overcoming client challenges and delivering results under tight timelines. **Preferred technical and professional experience** * Experience with LLMOps tools (PromptLayer, LangSmith, Weights & Biases, etc.) * Understanding of AI cost optimization and production reliability concerns * Prior experience with consulting or professional services engagements * Experience building AI solutions with synthetic or simulated data * Contributions to open-source AI projects or active involvement in AI communities * Extensive experience with industry-specific AI applications, such as healthcare, finance, supply chain, or retail/CPG. * Advanced proficiency in natural language processing (NLP) and computer vision technologies. * Master's or Ph.D. preferred IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Introduction At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. Your role and responsibilities Hakkoda is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone's input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly-growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!. Overview: We are seeking a Senior AI Engineer with a strong track record of developing and deploying AI solutions, particularly in the domain of large language models (LLMs), agents, and retrieval-augmented generation (RAG) pipelines. This role will involve close collaboration with clients to architect, build, and deliver real-world solutions using platforms such as Snowflake, AWS, and Google Cloud. The ideal candidate combines technical depth with a pragmatic, delivery-oriented mindset and has excellent communication skills to lead client engagements and cross-functional teams. Responsibilities: * Solution Architecture: Lead the design and development of LLM-based solutions including RAG pipelines, agent workflows, and generative AI applications. * Multi-Platform Implementation: Develop and deploy AI solutions across Snowflake, AWS, Google Cloud, Databricks, and other enterprise environments. * Client-Facing Delivery: Work directly with clients to understand business needs, propose architectures, and implement solutions that deliver measurable value. * Model Development & Optimization: Fine-tune models, build embedding workflows, implement vector search, and monitor performance in production environments. * Workflow Automation & Integration: Architect AI systems that integrate with cloud-based data pipelines and enterprise tools, ensuring reliability and scalability. * Mentorship & Collaboration: Provide technical leadership, mentor junior engineers, and contribute to the growth of Hakkoda's AI practice. Innovation & Research: Stay informed on emerging AI technologies and bring innovative capabilities into production use As of April 2025, Hakkoda has been acquired by IBM and will be integrated in the IBM organization. Your recruitment process will be managed by IBM. IBM will be the hiring entity. This role can be performed from anywhere in the US. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise * Education: Bachelor's degree in Computer Science, Data Science, AI, or a related field. * Experience: * Minimum of 5-7 years of experience in AI engineering, machine learning, or related fields. * Demonstrated experience working in a professional services or consulting environment with client-facing responsibilities. * Must-Have Skills and Experience * Proven experience developing and deploying LLM-powered applications into production * Strong background in RAG architecture, vector search, and embedding pipelines * Familiarity with agent frameworks such as LangChain, LlamaIndex, or CrewAI * Expertise in Python, with sound software engineering practices * Experience working with Snowflake, including Cortex and UDFs for AI integration * Hands-on experience deploying AI solutions on multiple cloud platforms (especially AWS and GCP) * Strong client-facing skills, with the ability to lead technical discussions and present to stakeholders * Demonstrated ability to scope, build, and deliver full AI solutions-not just prototypes * Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences, including clients. * Strong leadership skills, with a track record of successfully managing projects and mentoring junior team members. * Problem-solving expertise with a creative approach to overcoming client challenges and delivering results under tight timelines. Preferred technical and professional experience * Experience with LLMOps tools (PromptLayer, LangSmith, Weights & Biases, etc.) * Understanding of AI cost optimization and production reliability concerns * Prior experience with consulting or professional services engagements * Experience building AI solutions with synthetic or simulated data * Contributions to open-source AI projects or active involvement in AI communities * Extensive experience with industry-specific AI applications, such as healthcare, finance, supply chain, or retail/CPG. * Advanced proficiency in natural language processing (NLP) and computer vision technologies. * Master's or Ph.D. preferred ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The Site Operations team is responsible for the delivery of data center compute and storage at Meta, enabling our family of apps and services to support a growing global community. We are seeking a forward-thinking individual skilled across multiple disciplines to lead global initiatives on this team. The mission of this role is to identify and tackle the biggest technical and operational challenges and opportunities before SiteOps. The Infrastructure Engineer is expected to personally advance our highest impact initiatives, and to work with others to closure through the right working groups and delegates. The scope of the role is Infra-wide; the DC Infra Engineer is expected to work with the data center teams, Core Systems, CEA, PE, and hardware engineering to architect and implement adaptable solutions that transform our infrastructure in dimensions including performance, efficiency, quality, and resiliency. Areas of emphasis include next gen platforms, tools, and technologies; the interplay between our platforms and data centers; and the underlying architecture of our infrastructure including physical vs logical layer trade-offs. **Required Skills:** Global Infrastructure Engineer Responsibilities: 1. Represent Site Operations in leading work to define and architect new solutions on global initiatives, working with stakeholders across Infra Data Centers & Infrastructure teams 2. Assemble and lead teams to address complex engineering challenges, requiring technical expertise as well as a broad understanding of Meta's overall infrastructure 3. Address issues that can be ambiguous and global in nature, requiring leadership and collaboration across time zones, teams, and technical domains 4. Act as key SME and mentor in the design, operation, and troubleshooting of tools, technologies, and processes utilized within Site Operations 5. Understand and assess risks and challenges associated with emerging new hardware, data center and software technologies, and define & implement effective mitigations for these 6. Employ a holistic understanding of the full infrastructure stack to lead solutions that appropriately balance physical and logical layer 7. Act as a global communication and advisory point of contact for the design, implementation and delivery of projects that affect our global data center and server fleet and facilitate resolution of issues drawing on local expertise and global support partners 8. Leverage data-driven methodologies to understand a problem at the onset, define a plan, and measure progress throughout a project 9. Provide data supplied narratives and ensure a focus on continuous improvement 10. Build and support, trusted, cross-functional connections with teams across the globe and serve as an advocate for the Site Operations Team with key stakeholders, influencing policies and procedures to improve global data center operations 11. Approximately 20% - 30% travel **Minimum Qualifications:** Minimum Qualifications: 12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 13. Knowledge of the full stack of infrastructure, with experience building or operating logical infrastructure on top of a complex, distributed physical infrastructure 14. Proven communication skills and experience working in a highly distributed environment, across teams/department boundaries 15. 10+ years of technical experience, in a large-scale data center or IT Infrastructure environment, or equivalent experience building platforms and systems for large scale compute 16. Experience building globally scalable solutions and translating global strategic initiatives into local executable projects 17. Knowledge of the interdependencies of data center functions and technologies including electrical, cooling, structured cabling, security, network, server and storage systems 18. Experience building, operating, and scaling with Linux or Unix Operating systems 19. Experience communicating the results of analysis and insights to cross functional teams and influencing the strategy of these teams 20. Experience with Data Center Design and Expansion **Preferred Qualifications:** Preferred Qualifications: 21. Extensive knowledge of storage and AI/ML related services and the hardware that supports them 22. Coding or scripting experience such as Bash, PHP, Python, SQL, or Perl 23. Experience in providing technical guidance to external vendors and partners. Knowledge and experience with virtualization, containerization, distributed systems, fault tolerance, and incident management 24. Experience with high level data center design, operations, basic electrical/mechanical infrastructure, and scaling physical infrastructure **Public Compensation:** $191,000/year to $262,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

The Site Operations team is responsible for the delivery of data center compute and storage at Meta, enabling our family of apps and services to support a growing global community. We are seeking a forward-thinking individual skilled across multiple disciplines to lead global initiatives on this team. The mission of this role is to identify and tackle the biggest technical and operational challenges and opportunities before SiteOps. The Infrastructure Engineer is expected to personally advance our highest impact initiatives, and to work with others to closure through the right working groups and delegates. The scope of the role is Infra-wide; the DC Infra Engineer is expected to work with the data center teams, Core Systems, CEA, PE, and hardware engineering to architect and implement adaptable solutions that transform our infrastructure in dimensions including performance, efficiency, quality, and resiliency. Areas of emphasis include next gen platforms, tools, and technologies; the interplay between our platforms and data centers; and the underlying architecture of our infrastructure including physical vs logical layer trade-offs. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * Knowledge of the full stack of infrastructure, with experience building or operating logical infrastructure on top of a complex, distributed physical infrastructure * Proven communication skills and experience working in a highly distributed environment, across teams/department boundaries * 10+ years of technical experience, in a large-scale data center or IT Infrastructure environment, or equivalent experience building platforms and systems for large scale compute * Experience building globally scalable solutions and translating global strategic initiatives into local executable projects * Knowledge of the interdependencies of data center functions and technologies including electrical, cooling, structured cabling, security, network, server and storage systems * Experience building, operating, and scaling with Linux or Unix Operating systems * Experience communicating the results of analysis and insights to cross functional teams and influencing the strategy of these teams * Experience with Data Center Design and Expansion Preferred Qualifications * Extensive knowledge of storage and AI/ML related services and the hardware that supports them * Coding or scripting experience such as Bash, PHP, Python, SQL, or Perl * Experience in providing technical guidance to external vendors and partners. Knowledge and experience with virtualization, containerization, distributed systems, fault tolerance, and incident management * Experience with high level data center design, operations, basic electrical/mechanical infrastructure, and scaling physical infrastructure Responsibilities * Represent Site Operations in leading work to define and architect new solutions on global initiatives, working with stakeholders across Infra Data Centers & Infrastructure teams * Assemble and lead teams to address complex engineering challenges, requiring technical expertise as well as a broad understanding of Meta's overall infrastructure * Address issues that can be ambiguous and global in nature, requiring leadership and collaboration across time zones, teams, and technical domains * Act as key SME and mentor in the design, operation, and troubleshooting of tools, technologies, and processes utilized within Site Operations * Understand and assess risks and challenges associated with emerging new hardware, data center and software technologies, and define & implement effective mitigations for these * Employ a holistic understanding of the full infrastructure stack to lead solutions that appropriately balance physical and logical layer * Act as a global communication and advisory point of contact for the design, implementation and delivery of projects that affect our global data center and server fleet and facilitate resolution of issues drawing on local expertise and global support partners * Leverage data-driven methodologies to understand a problem at the onset, define a plan, and measure progress throughout a project * Provide data supplied narratives and ensure a focus on continuous improvement * Build and support, trusted, cross-functional connections with teams across the globe and serve as an advocate for the Site Operations Team with key stakeholders, influencing policies and procedures to improve global data center operations * Approximately 20% - 30% travel About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

The Site Operations team is responsible for the delivery of data center compute and storage at Meta, enabling our family of apps and services to support a growing global community. We are seeking a forward-thinking individual skilled across multiple disciplines to lead global initiatives on this team. The mission of this role is to identify and tackle the biggest technical and operational challenges and opportunities before SiteOps. The Infrastructure Engineer is expected to personally advance our highest impact initiatives, and to work with others to closure through the right working groups and delegates. The scope of the role is Infra-wide; the DC Infra Engineer is expected to work with the data center teams, Core Systems, CEA, PE, and hardware engineering to architect and implement adaptable solutions that transform our infrastructure in dimensions including performance, efficiency, quality, and resiliency. Areas of emphasis include next gen platforms, tools, and technologies; the interplay between our platforms and data centers; and the underlying architecture of our infrastructure including physical vs logical layer trade-offs. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * Knowledge of the full stack of infrastructure, with experience building or operating logical infrastructure on top of a complex, distributed physical infrastructure * Proven communication skills and experience working in a highly distributed environment, across teams/department boundaries * 10+ years of technical experience, in a large-scale data center or IT Infrastructure environment, or equivalent experience building platforms and systems for large scale compute * Experience building globally scalable solutions and translating global strategic initiatives into local executable projects * Knowledge of the interdependencies of data center functions and technologies including electrical, cooling, structured cabling, security, network, server and storage systems * Experience building, operating, and scaling with Linux or Unix Operating systems * Experience communicating the results of analysis and insights to cross functional teams and influencing the strategy of these teams * Experience with Data Center Design and Expansion Preferred Qualifications * Extensive knowledge of storage and AI/ML related services and the hardware that supports them * Coding or scripting experience such as Bash, PHP, Python, SQL, or Perl * Experience in providing technical guidance to external vendors and partners. Knowledge and experience with virtualization, containerization, distributed systems, fault tolerance, and incident management * Experience with high level data center design, operations, basic electrical/mechanical infrastructure, and scaling physical infrastructure Responsibilities * Represent Site Operations in leading work to define and architect new solutions on global initiatives, working with stakeholders across Infra Data Centers & Infrastructure teams * Assemble and lead teams to address complex engineering challenges, requiring technical expertise as well as a broad understanding of Meta's overall infrastructure * Address issues that can be ambiguous and global in nature, requiring leadership and collaboration across time zones, teams, and technical domains * Act as key SME and mentor in the design, operation, and troubleshooting of tools, technologies, and processes utilized within Site Operations * Understand and assess risks and challenges associated with emerging new hardware, data center and software technologies, and define & implement effective mitigations for these * Employ a holistic understanding of the full infrastructure stack to lead solutions that appropriately balance physical and logical layer * Act as a global communication and advisory point of contact for the design, implementation and delivery of projects that affect our global data center and server fleet and facilitate resolution of issues drawing on local expertise and global support partners * Leverage data-driven methodologies to understand a problem at the onset, define a plan, and measure progress throughout a project * Provide data supplied narratives and ensure a focus on continuous improvement * Build and support, trusted, cross-functional connections with teams across the globe and serve as an advocate for the Site Operations Team with key stakeholders, influencing policies and procedures to improve global data center operations * Approximately 20% - 30% travel About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. This Principal Engineer L18 IC role on the Monetization Team requires a senior technical leader with a strong background in both core software engineering and machine learning. This role will lead the development and execution of the technical strategy for ad products that cater to both end users and advertisers on the platform. The individual we hire will oversee the core technical outputs of approximately 200 engineers and remain a hands-on contributor, shipping their own deliverables in the process. The ideal candidate is a brilliant technical contributor with a proven history of delivering complex architectural solutions within the ads domain. What you'll do: Lead and mentor engineering teams, inspiring innovation and excellence, while fostering future technical leaders within the organization. Architect and implement cutting-edge strategies to refine advertiser experiences and launch user-centric products. Guide and evaluate complex technical plans, ensuring they align with Pinterest's strategic objectives and elevate operational efficiency. Proactively manage project milestones, anticipate risks, and adapt strategies to ensure timely, successful delivery. Oversee projects that improve developer efficiency, service reliability, and engineering quality, promoting best practices in software architecture. Cultivate strong relationships with key stakeholders, ensuring alignment with business goals, and drive consensus on strategic initiatives. Lead development initiatives that leverage new generative AI models and strategies to enhance product offerings, ensuring alignment with business goals. Champion best practices and drive architectural improvements that enhance system performance and extensibility. What we're looking for: Masters or Bachelor's degree with relevant experience in computer science or a closely related discipline. 10+ years of professional experience in software engineering. 5+ years of professional experience in machine learning engineering. Robust comprehension of advertising technology. Demonstrated ability to lead significant technical initiatives across organizations, with an emphasis on scalability, quality, and maintainability. Recognized as a thought leader, driving strategic outcomes while promoting a culture of accountability and diversity. Proven experience shipping products which leverage generative ai technologies. Fundamental understanding of machine learning systems and the capacity to guide decisions regarding build, leverage, or acquisition. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-NB1 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$242,634-$499,541 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.