• Join a major project within the Alan Allman Associates group • Collaborate with development teams to build innovative solutions

Role Description This position is for a Principal Engineer AI/ML Server System Architect. As system architect, one will define the architecture of leading and competitive AI systems, lead new technology research, study market trends, customers interface and lead Celestica’s design team in the AI/ML infrastructure space. Although the position is primarily hardware-based, the candidate must have strong knowledge in AI systems design including AI training and inference workloads and performance demands, as well as compute, connectivity, management, power, and cooling subsystems. - Define Complex AI/ML infrastructure platform solutions and lead a multi-disciplined team to bring to implementation. - Extensive and focused engagement through EVT, phasing out thereafter. - Ensure overall design quality metrics are met. - Develop and maintain close technical relationships with suppliers/partners on product roadmaps and technologies. - Lead RFQ technical responses and Celestica platform concept development efforts as appropriate. - Provide effective trade-off analysis and competitive guidance to engineering teams and customers. - Deliverables include System Requirements Documents (SRD), requirement compliance assessments, and Technical proposals. - Act as a primary technical interface between Celestica and our customers, particularly in technical escalation. - Provide technical support to business development teams to assist in the winning of new business. - Participate in the selection and hiring of design team resources as required. - Identify and Champion process improvement efforts as needed. - Participate in standards committees and industry groups as assigned. - Prepare and present technical presentations to customers, industry groups, tradeshows, etc. - Maintain current on industry trends and future technology and market opportunities. - Other duties as assigned. Qualifications - Minimum of 10 years Server and/or AI/ML accelerator hardware design experience. - Minimum of 5 years of AI Infrastructure system design experience. - Experience with Nvidia, AMD, and/or Intel GPU accelerators and support systems. - Successful experience architecting and delivering server/storage/converged products to market. - Excellent Customer presentation skills. Interface and interact with large OEM customers on ongoing product related issues and new product design concepts. - A broad knowledge of current digital and analogue components. - Successful New Product Introduction (NPI) launch. - Extensive knowledge of system level power, cooling, mechanical, SW/FW and electrical design integration and engineering trade-offs. Requirements - Experience working with Asian based design teams is desired. - Systems SW experience in related fields is desired. - Prior participation in industry groups and associations is desired. - System level integration, interoperability and test experience is desired. - System level manufacturing test experience is desired. Personal Attributes - The successful candidate will be a self-motivated individual capable of working with a minimum of supervision in a dynamic team environment. - Good interpersonal skills: be able to communicate effectively with members of other teams, departments and clients; as a high degree of liaison is needed. Typical Education - BS in Electrical Engineering required; MSEE preferred. Travel - International travel required, approximately 4-6 trips per year. - Domestic travel to support customer and internal meetings as required. Salary $166,000 - 228,000 USD/year. The salary range described in this posting is an estimate by the Company, and may change based on several factors, including but not limited to a change in the duties covered by the job posting, or the credentials, experience or geographic jurisdiction of the successful candidate. Notes This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time. Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law). At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.

Role Description We're looking for an AI Engineer who will have the chance to work with international clients, gaining invaluable international experience. Your technical expertise, problem-solving abilities, and creative mindset will be key in implementing AI-based solutions across our products and making a real impact at Hostinger. Your day-to-day - Enhance products that serve millions of global clients and contribute to the company's exponential growth. - Create innovations in a company that is betting early on AI. - Collaborate with product teams to define and refine new prototypes and functionalities. - Stay updated with the latest developments in LLM (Large Language Models) and AI technologies, integrating them into our products as necessary. - Prototype new features and products using Generative AI. - Make prototypes that quickly prove the feasibility of solutions, using commercially available APIs and/or local Generative AI models. - Optimize prototypical solutions by getting them production-ready through prompt engineering, fine-tuning, etc. - Contribute to our company's goal of becoming a leading AI adoption company in the hosting market. Qualifications - Proven expertise in implementing Generative AI techniques, including prompt engineering, model fine-tuning, and embeddings for commercial use. - Experience with commercially available APIs (e.g., Google, Azure, OpenAI) for text/image generation, embeddings, function calling, fine-tuning, etc., and proficiency in fine-tuning prompts for high-quality outcomes. - Proficiency in deploying and optimizing open-source Generative AI models (e.g., LLaMA, Mistral), along with familiarity with related toolchains (e.g., Ollam, LangChain). - High curiosity to stay up to date with the state of the art of the fast-moving AI field. - Strong skills in Python programming. - At least 1-2 years of experience in LLM-related projects. - Capable of developing robust RESTful APIs and containerizing applications with Docker. - Knowledgeable in Linux and DevOps methodologies, including the use of Git, Jira, and Docker. Benefits - 🚀 360 Growth: Limitless learning opportunities with access to platforms like Reforge and Coach Hub, global conferences, physical and digital libraries, feedback culture, and mentoring through TesoXchange. - 🎯 Freedom & responsibility: Work on your terms from modern offices in Kaunas and Vilnius, the comfort of home, or anywhere in the world with flexibility in managing your schedule. - 💪 Wellness simplified: Health insurance from Day 1, gym memberships, recharge leave, Headspace subscriptions, and regular health checks. - 🎉 Work hard – play hard: Company events like Summerfest & Winterfest, Town Hall, Meet the Client initiatives, team-buildings, and workations. Compensation Gross salary 4,000 to 7,000 EUR/month. Salary is offered based on work experience, competence, and compliance with other job requirements.

Role Description Be part of a team that values safety, inclusion, and excellence. As a member of our team, you will play a role in supporting the movement of essential products and materials that help feed, clothe, supply, and power communities throughout America and the world. BNSF | Tech is the technology division making BNSF the preeminent freight and mobility company in North America. If you are passionate about making a difference and eager to advance your career in a dynamic and supportive environment, we want you on our team! Join us in reshaping the future of freight rail and discover a fulfilling career where your contributions matter. We are committed to a culture where all employees are included, belong, and have equal opportunity to achieve their full potential. Come make a difference with us! Job Location: Remote US Anticipated Start Date: 06/01/2026 The US base salary range for this full-time position is provided below: - Salary Range: $165,000 - $300,000 - L5: $165,000 - $220,000 - L6: $225,000 - $300,000 This is a full-time remote position. Employees may work from anywhere within the contiguous 48 states of the United States. Travel is up to 20%. Employees will be required to occasionally travel to our corporate headquarters in Fort Worth, TX for in-person meetings. Travel expenses for business needs will be covered by BNSF. This position is open to candidates who are currently authorized to work in the United States. We are also open to sponsoring H-1B transfers, TN nonimmigrant status, and STEM OPT candidates with at least 2 years of remaining eligibility. Apply early as this job may be removed or filled prior to the closing date, which is approximately seven (7) days after the posting date. Qualifications - Authorized to work in the US. - Minimum 6 years experience in AI/ML development, data science, software engineering, or relevant experience. - Strong in programming languages such as Python, R, or Java. - Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and deep learning architectures. - Familiarity with data engineering tools and platforms (e.g., Hadoop, Spark, EMS, AWS S3, PySpark, RDS, JupyterLab) and cloud services (AWS, Azure, Databricks) and open source environments. - Strong knowledge of databases (SQL and NoSQL). - Strong knowledge of MLOps ecosystem. - Strong understanding of generative AI models. - Strong in Data Pipelines for GenAI (e.g., cleaning, chunking embeddings). - Strong in GenAI tools and frameworks (LangChain, LangGraph). - Strong in Vector Databases and embeddings. - Familiar with Agentic architecture. - Ability to interpret complex datasets and derive actionable insights. - Proven ability to tackle real-world challenges using AI and machine learning techniques. - Excellent verbal and written communication skills for working with cross-functional teams and stakeholders. Requirements - Able to work now and in the future without BNSF’s assistance (whether monetary, through sponsorship, or otherwise) in obtaining, maintaining, or extending employment authorization (including H-1B, STEM OPT/CPT, or TN nonimmigrant status). - Bachelor's degree or higher in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. - Experience with predictive maintenance, anomaly detection, or industrial IoT applications. - Knowledge of railroad operations, transportation systems, or logistics. - Familiarity with MLOps practices and tools for model lifecycle management. - Experience deploying AI systems in production environments with a focus on scalability and reliability. - Previous experience in transportation, supply chain, or infrastructure industries. Benefits - An industry-leading 401(k) and renowned Railroad Retirement program. - A range of robust health care options for you and your dependents (including domestic partners), including medical, dental, vision, telemedicine, mental health, cancer support, and high-quality care network options. - Health care spending accounts (HSA) with employer contributions, as well as life and disability insurance, provided at no cost. - Family benefits including parental, pediatric and family building support, adoption and surrogacy reimbursement, and dependent care spending account (with employer match). - Access to discounts on travel, gym memberships, counseling services and wellness support. - Annual bonus (Incentive Compensation Program). - Generous leave / time off policies.