Role Description This is not a slide-making or prompt-engineering role. We are looking for someone who has built multi-agent AI systems that run in production - not demos, not pilots that died after a sprint. You will anchor AI delivery programs end-to-end, work directly with global clients, and stay sharp on a field that changes every few weeks. You will report into and replicate the function of a senior AI delivery leader - which means you need both the depth to architect solutions and the presence to walk a CXO through what you built and why it works. Qualifications - Experience in building multi-agent AI systems in production - Ability to anchor AI delivery programs end-to-end - Experience working directly with global clients - Strong architectural skills to design solutions - Ability to communicate effectively with CXOs Requirements - Depth in AI solution architecture - Presence to engage with senior leadership Benefits - Inclusive workplace culture - Equal employment opportunity (EEO) - Affirmative action employer

Role Description As Power Architecture Lead for PMIC, you will own the IVR architecture end-to-end — power conversion topology, digital control engine and analog subsystems. You will work directly with the Head of Engineering, digital architecture leads, and analog design team, and engage foundry partners and key customers at the architecture level. This role requires equal fluency in power electronics and mixed-signal IC design. You will define the architecture, validate the tradeoffs across topology, packaging, and thermal constraints, and drive execution through tape-out. Key Responsibilities - Architecture & Definition - Define IVR architecture: multi-phase interleaved buck converter topology, phase count configurability, switching frequency selection, and efficiency targets across load conditions. - Architect the digital control engine: per-phase duty cycle control, current balance, DVFS sequencing, and transient response optimization for AI workload dynamics. - Define the control and telemetry interface. - Establish power domain architecture for multi-domain compute targets: phase allocation, rail sequencing, and cross-domain coordination. - Define input power spec, inrush management, and integration requirements for in-package passive components including integrated inductors. - Mixed-Signal & Analog Oversight - Define requirements for analog subsystems: gate drivers, current sensing (DCR / integrated sense), on-chip thermal diodes, and oscillator / clock generation. - Oversee integrated inductor evaluation and selection — saturation current, DCR, Q-factor, and co-design with converter switching frequency. - Establish PVT corner strategy and margin targets across process, voltage, and temperature for all analog blocks. - Drive analog-digital co-design: ensure digital control loop stability across all PVT corners with defined phase margin and gain margin targets. - Define ESD and latch-up protection strategy for high-current power bumps. - Implementation Oversight - Guide process node selection for Gen 1 and roadmap generations — evaluate tradeoffs between power density, analog capability, and cost. - Lead IP evaluation for gate driver, ADC, and reference blocks; define custom vs. licensed IP strategy. - Drive DFT strategy for power chiplet: stuck-at fault coverage, analog BIST for converter calibration, and production test requirements. - Define packaging integration requirements. - Customer & Ecosystem Engagement - Translate AI compute platform power delivery requirements into product specifications — engage customers at the architecture level to validate rail counts, current targets, and transient profiles. - Interface with foundry partners on process capability, passive integration options, and packaging design rules. - Support technical due diligence for strategic partnerships and customer evaluations. - Roadmap & IP - Define the multi-generation architecture roadmap — establish a clear migration path from initial process node to advanced nodes with improved power density and packaging integration. Qualifications - 15+ years in power IC architecture; 5+ years at Principal level or higher in a fabless, IDM, or PMIC-focused semiconductor environment. - Deep expertise in multi-phase synchronous buck converter design — topology selection, loop compensation, stability analysis, and efficiency optimization across load. - Mixed-signal IC design fluency: gate driver design, current sensing techniques, analog control loops, and ADC/DAC integration in CMOS processes. - Hands-on experience with integrated passive components — on-chip or in-package inductors, capacitors, and their interaction with converter performance. - Advanced packaging familiarity: flip-chip, 2.5D/3D integration, bump map design, and thermal/electrical co-design for power-dense applications. - Experience driving power IC tape-outs from architecture definition through silicon bring-up and characterization. - Proficiency in power converter simulation: SPICE-level transient analysis, AC loop stability, and PVT corner sweeps. Preferred Qualifications - Experience with kilowatt-class power delivery for AI accelerators, GPUs, or high-performance CPUs is a big plus. - Familiarity with in-package voltage regulator architectures (FIVR, LEGO-style VR, or substrate-embedded passives). - Background in PMBus / I2C / proprietary digital power management interfaces — experience migrating from legacy interfaces to die-to-die control fabric is a plus. - Prior startup experience or comfort with early-stage technical ambiguity and fast-paced execution.

Role Description We are looking for an experienced Resident Solution Architect with strong expertise in Databricks, Modern Data Platforms, Cloud Architecture, and AI-driven solutions. The ideal candidate will play a key role in designing scalable enterprise data ecosystems, leading modernization initiatives, and enabling advanced analytics and AI transformation programs for global clients. Key Responsibilities - Design and implement enterprise-scale data and analytics platforms using Databricks Lakehouse architecture - Lead end-to-end solution architecture for data engineering, cloud modernization, and AI initiatives - Collaborate with business stakeholders, engineering teams, and leadership to define scalable and secure data solutions - Drive data platform governance, security frameworks, and best practices across cloud environments - Architect high-performance ETL/ELT pipelines and streaming data solutions - Support migration from legacy data warehouses and Hadoop ecosystems to modern cloud lakehouse platforms - Enable AI/ML and Generative AI use cases leveraging modern Databricks capabilities - Provide technical leadership, estimation, architecture reviews, and client presentations Qualifications - Strong experience in Spark, PySpark, Delta Lake, Structured Streaming - Expertise in ETL/ELT design and data pipeline optimization - Experience with performance tuning and scalable distributed processing - Hands-on expertise with Unity Catalog and Databricks workspace architecture - Experience designing governance frameworks, security models, RBAC, and cluster policies - Knowledge of enterprise-grade platform administration and governance controls - Strong understanding of Medallion Architecture and Lakehouse concepts - Experience with Databricks SQL and dimensional data modeling - Expertise in enterprise data modeling and warehouse modernization - Strong fundamentals in AWS, Azure, or GCP - Understanding of networking, IAM, storage services, compute services, and cloud security architecture - Experience designing scalable and secure cloud-native solutions - Experience integrating with SAP systems and enterprise applications - Knowledge of REST APIs, Kafka/Event Streaming, and Snowflake connectivity - Experience integrating analytics platforms like Power BI and Tableau - Experience in legacy DWH modernization and Hadoop migration projects - Expertise in ETL migration, CDC patterns, and migration frameworks - Ability to define migration strategies and execution roadmaps - Experience with Git, Terraform, Databricks Asset Bundles - Hands-on exposure to Azure DevOps and GitHub Actions - Strong understanding of deployment automation and DevOps practices - Exposure to AI/ML, Generative AI, Agentic AI, Vector Databases, and RAG architectures - Knowledge of Mosaic AI and Lakehouse AI capabilities - Understanding of enterprise AI adoption patterns and modern AI frameworks - Conduct discovery workshops and solution assessment sessions - Strong experience in solution architecture documentation and estimation models - Excellent client communication and executive presentation skills - Ability to engage with senior stakeholders and drive strategic discussions Requirements - Experience working in enterprise consulting or global delivery environments - Databricks and cloud certifications are highly preferred - Strong problem-solving and stakeholder management skills

Role Description We are seeking a dynamic and experienced Solution Architect to join our team. We value strong communication and relationship-building skills in addition to technical proficiency in modern development methodologies and cloud architectures. - Client Collaboration: Work closely with clients to understand their requirements and translate them into detailed architecture and design, focusing on cloud-native approaches and best practices. - Solution Development: Develop comprehensive technical solutions leveraging cloud services and technologies, ensuring scalability, reliability, and cost-effectiveness. - Problem Analysis: Analyze both business and technical challenges, identifying functional and non-functional needs within a cloud environment to design optimal solutions that meet client objectives. - Specification and Delivery: Provide precise specifications for the definition, management, and delivery of cloud-based solutions, incorporating IaC principles and automation techniques to drive efficiency and consistency. - MVP and POC Leadership: Lead the delivery of Minimum Viable Product (MVP) and Proof of Concept (POC) implementations on cloud platforms, demonstrating the feasibility and value of proposed solutions to customers. - Technical Troubleshooting: Demonstrate expertise in troubleshooting complex technical problems within cloud environments, leveraging automation and scripting to streamline resolution processes and minimize downtime. - Automation Initiatives: Drive automation initiatives across cloud infrastructure, scripting routine tasks and workflows using languages like Python, PowerShell, or Bash to enhance operational efficiency and reduce manual intervention. - Infrastructure as Code: Implement IaC methodologies using tools such as Terraform, CloudFormation, or Azure Resource Manager to provision and manage cloud resources efficiently and reliably. - Security Best Practices: Incorporate best practices for security and compliance into cloud-based solutions, leveraging native security features and third-party tools to protect data and applications against emerging threats. - Continuous Learning: Stay abreast of emerging technologies, trends, and best practices in cloud computing, infrastructure automation, and DevOps, continuously refining solutions to meet evolving business needs and industry standards. Qualifications - 5 years of experience in one or more areas of the IT industry. - Experience building complex solutions on AWS or Microsoft Azure. - A Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field is preferred. - Solid understanding of containers and serverless architecture. - Experience designing relational or non-relational databases (e.g., MySQL, MariaDB, MongoDB, Aurora, DocumentDB, DynamoDB). - Experience with agile approaches and experience in DevOps or DevSecOps. - Proficiency with infrastructure automation using tools such as Terraform, CloudFormation, Ansible, or similar tools. - Strong communication and presentation skills. Requirements - Only Thais may apply; we are not supporting for any Visa. Benefits - By submitting your resume/CV, you consent and agree to allow the information provided to be used and processed by or on behalf of Xtremax Pte Ltd for purposes related to your registration of interest in current or future employment with us and for the processing of your application for employment. - You also represent to us that you have obtained the consent of your referees when you disclose to us their personal data for the purpose of conducting reference checks. - The personal data held by us relating to your application will be kept strictly confidential and in accordance with the PDPA. You may also refer to our Privacy Policy for more details. - We regret to inform you that should you not consent to providing the necessary data required for us to process your application, your application will be considered void.