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Apple Inc.

Graphics (GPU) Performance Analysis Architect Job at Apple Inc. in Austin

Apple Inc., Austin, TX, United States, 78716

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DXC Technology helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private, and hybrid clouds. The world’s largest companies and public sector organizations trust DXC to deploy services across the Enterprise Technology Stack to drive new levels of performance, competitiveness, and customer experience.

Location : Remote, potential travel for up to 50%, depending on need and DXC discretion / approvals, to primarily interact with client leaders.

Essential Job Functions

  1. Develop and Drive Solutions: Develops and drives large and/or complex business solutions for targeted/assigned customers, providing in-depth solutions architecture recommendations based on specific customer needs.
  2. Customer interaction and Understanding of Customer Business: Actively research customers to determine business issues, establish technical credibility, and cultivate relationships with senior IT executives.
  3. Solution Architecture and Strategic Guidance: Provide solution architecture and strategic guidance during the solution development process to ensure alignment with overall company sales and client business strategy.
  4. Present Technical Solution Strategy: Deliver and sell the technical solution strategy and vision to senior client executives, ensuring the solution meets client expectations and requirements.
  5. Research and Evaluate Best Practices: Research industry, market, and IT services best practices and trends to ensure company solutions meet client needs. Leverage partner solutions to continuously solve customer needs.
  6. Mentorship: Function as a technical resource and mentor for less experienced Sales Solutions personnel.

Key Responsibilities

  1. Technology assessment: Analyze a client's technology stack, considering data ingestion, storage, processing, analytics, security, governance, access, and visualization needs.
  2. Solution Design: Create customized architectures, including data ingestion, storage, processing, data warehousing, data pipelines, reporting & dashboards, and data governance strategies.
  3. Technical Demonstrations: Conduct direct presentations showcasing proposed solutions, and highlighting features and functionalities.
  4. Proof-of-Concept Development: Build small-scale prototypes to demonstrate the feasibility and potential impact of BI and data engineering solutions.
  5. Responding to RFIs / RFPs: Craft comprehensive technical responses to requests for information and proposals, outlining proposed solutions and pricing.
  6. Collaboration with Sales Team: Work closely with sales representatives to qualify leads, address technical concerns, and articulate the business value of the solutions.
  7. Customer Interaction: Engage with prospective clients to assess their data needs, identify pain points, and translate business requirements into technical solutions.
  8. Sales Support: Collaborate with sales representatives to answer technical questions, address concerns, and qualify potential leads.

Core Skills

  1. AI / ML: Develop customized AI / ML solution architectures, across all major AI platforms including ML Ops, AI Ops and AI delivery not limited to data pipeline setup, deployment, training, testing, model selection, and infrastructure considerations based on customer needs. Familiarity with AI / ML-related technologies and tools such as MLFlow, KubeFlow, Kubernetes, TensorFlow, PyTorch, AWS SageMaker, Azure MLStudio, DataRobot, and Databricks ML flow, Snowflake ML.
  2. Gen AI: Evaluate and select suitable generative AI models (like GPT-3, BERT, PaLM) based on project requirements. Design the overall system architecture for integrating LLMs into existing applications or building new AI-powered products.
  3. Programming Proficiency: Familiarity with programming languages (e.g., SQL, Python, Java, Scala) and data manipulation techniques.

Qualifications

  1. Bachelor’s degree or equivalent combination of education and experience.
  2. Overall Experience in Data and Analytics of more than 12 years.
  3. Experience in client interaction as a presales solutions architect of more than 5 years.
  4. Effective communication, written, presentation, interpersonal, and listening skills.
  5. Must be legally authorized to work in the United States without requiring sponsorship now or in the future.
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