Dream job? Let's make it happen

Job Description

The role involves optimizing non-performing loan (NPL) recovery, AI-based financial data analysis, and debtor financial management model planning. Responsibilities include:

• Developing data-driven strategies for maximizing NPL recovery rates.
• Designing financial products and services based on data analysis.
• Utilizing AI and machine learning for debtor behavior analysis and risk assessment.
• Collaborating with engineering and data teams to implement product plans.

Qualifications

• Proficiency in Python, SQL, and R for data analysis.
• Experience in AI/machine learning for financial data optimization.
• Ability to formulate business hypotheses and conduct experiments.
• Experience in financial data and risk management.

Preferred Skills

• Experience in startups or fintech industry.
• Knowledge of NPL and financial risk management.
• Experience with credit scoring models and alternative data strategies.

Ideal Candidate

The ideal candidate is a versatile player capable of leading AI-driven financial innovation, solving problems autonomously, and executing strategies from planning to implementation.

Position Overview

The organization is committed to providing a comprehensive 'Life Event Integrated Solution' that assists with home transformations globally. The Data Platform team offers reliable real-time data and solutions, supporting various data processing needs.

Key Responsibilities

• Collect and refine data from various sources, designing and operating efficient ETL/ELT pipelines.
• Design and manage data warehouse models, ensuring data consistency and integrity.
• Verify and monitor data accuracy, completeness, and consistency, establishing processes for quality improvement.
• Enhance data accessibility and quality by organizing and updating metadata.
• Support query performance improvement and data accessibility for analysts and scientists.
• Learn and integrate the latest data technologies and AI to enhance performance and efficiency.

Qualifications

• Experience in designing and implementing data pipelines (SQL-based, 4+ years).
• Experience in operating and optimizing ETL/ELT pipelines.
• Experience in data processing and automation using Python.
• Experience in data modeling and schema design.
• Experience in identifying and resolving data quality issues.
• Ability to structure and analyze complex data issues, identifying root causes and solutions.
• Ability to explain technical requirements in business terms and negotiate effectively.
• Ability to automate and optimize data tasks using AI-based development tools and prompt engineering.

Preferred Qualifications

• Experience in data warehouse project participation.
• Experience or interest in data quality management, governance, and metadata management.
• Experience in large-scale data processing using Apache Spark.
• Experience with workflow orchestration tools like Airflow or Dagster.
• Background in computer science or equivalent professional knowledge.

Application and Process

• Application documents: Resume (required), portfolio, and cover letter (optional) in PDF format recommended.
• Exclude sensitive personal information such as salary, physical information, family details, and social security numbers.
• Process: Document screening > Job interview > Cultural interview and reference check > Compensation negotiation > Final acceptance.
• Job interviews may span 1-2 days depending on the applicant's resume and experience.
• AI capability assessment will be included in the interview process.
• Detailed interview process will be individually communicated at the time of the interview.

Additional Information

• This is an ongoing recruitment, and the position may close early upon hiring completion.
• Any false information found in the application documents may result in cancellation of employment.
• A 3-month probationary period with an onboarding program (Move in Program) is conducted post-employment.
• Preference is given to veterans and individuals with disabilities in accordance with relevant laws.

Compensation and Benefits

• Generous compensation for talent.
• Stock options granted to all new hires and high contributors.
• Company-wide incentives based on performance.

Work Environment

• Flexible working hours (6 AM to 10 PM).
• Freedom to use vacation without approval.
• Support for meals (breakfast, lunch, dinner).
• Free access to all menu items at the in-house cafe.
• Support for books, conferences, and education.
• High-end massage chairs available in the break room.

Welfare

• Health check-up support (for self/spouse/parents).
• Group insurance support (for self/spouse/children).
• Refresh leave and long-term service awards.
• Mental care program support.
• Annual support of 1.5 million KRW for home decoration.
• Upgrade to VIP membership for home services.

Responsibilities

• Define, plan, and implement block and system level verification strategies.
• Write and review test plans, develop test harnesses and test sequences.
• Drive the design verification process to successful closure by meeting defined verification metrics across the test plan, functional coverage, and code coverage.
• Collaborate closely with the Design team to debug, root-cause, and resolve functional failures within the design.
• Work collaboratively with cross-functional teams, including Design, Model, Emulation, and Silicon Validation, to ensure the highest standards of design quality.

Basic Qualifications

• Bachelor's degree in Electrical Engineering, Computer Science, or a closely related technical field.
• 5+ years of experience in block and system level verification utilizing SystemVerilog/UVM-based methodologies.
• Proven experience with Electronic Design Automation (EDA) tools and proficiency in scripting languages (Python, Perl, Shell) for developing verification tools and flows.
• Experience in architecting and deploying Design Verification infrastructure, including executing the complete verification cycle from planning to closure.

Preferred Qualifications

• Master’s degree in Electrical Engineering, Computer Science, or a closely related technical field.
• Expertise in developing UVM-based verification environments from initial setup.
• Expertise in developing Python-based verification environment such as cocotb.
• Experience in IP or integration verification for high-speed interfaces such as PCIe, UCIe, UALink, and Ethernet.
• Experience verifying ARM/RISC-V-based sub-systems or SoCs.
• Strong Python programming skills.
• Excellent written and verbal communication skills.

Responsibilities

• Equipment Integration:
• Define and implement standard interface protocols (e.g., OPC UA, SECS/GEM, MQTT, REST API) between production equipment and middleware systems.
• Design robust and scalable data collection architecture to capture real-time machine data, alarms, and statuses.
• Collaborate with vendors to validate and commission equipment communication readiness.
• Create and integrate web APIs to facilitate seamless data exchange between SCADA systems, MES platforms, and third-party applications.
• PAC Middleware Framework
• Design, deploy, and manage PAC Middleware pipelines to:
• Collect, filter, transform, and route raw equipment data.
• Enrich data with context (e.g., product ID, operator, recipe).
• Handle protocol transformations (e.g., OPC-UA to REST, MQTT to JSON).
• Ensure secure and reliable data delivery to downstream systems (MES, data lake, SPC, etc.).
• Monitor data flows and performance metrics using PAC provenance tracking and backpressure handling.
• Equipment Automation SCADA Integration:
• Configure Ignition SCADA tags, UDTs, and gateway scripts for real-time equipment monitoring and control.
• Develop interactive HMI screens for operators and engineers.
• Implement alarming, historical trends, and system diagnostics via Ignition.
• Connect Ignition to MES and PAC to support bi-directional communication (e.g., recipe download, status sync).
• Transaction Management System (TMS)
• Design logic to manage complex equipment-MES transactions with guaranteed consistency: Start/End process, Recipe load verification, Lot tracking and material movement, Equipment status updates, Implement retry, queuing, and error-handling mechanisms to prevent data loss.
• Integrate with NiFi for transaction orchestration and rollback handling if failures occur.
• Governance & Support :
• Maintain a centralized interface documentation and version control for all integration flows.
• Support troubleshooting and root cause analysis for integration failures.
• Ensure compliance with cybersecurity and audit requirements for all integrated components.
• Coordinate with OT/IT stakeholders to align architecture and security policies, and change management processes.
• Support manufacturing operations by troubleshooting and resolving automation-related issues.
• Collaborate with cross-functional teams to gather requirements and deliver tailored automation solutions.
• Optimize system performance, reliability, and scalability to meet production demands.
• Monitor and maintain SCADA systems to ensure uninterrupted manufacturing support.
• Develop intuitive dashboards, reports, and KPIs to support decision-making in manufacturing.
• Train and mentor junior engineers on Inductive Automation tools and best practices.
• Support SPC Operations, Including:
• SPC System Development & Maintenance
• Manufacturing process monitoring
• Facilitating technical support between the SPC vendor, IT, and local users.
• Ensuring SPC configuration and functionality align with manufacturing process requirements and end-to-end operational workflows.
• Support CMMS operations, including:
• Acting as a primary point of contact for the CMMS vendor.
• Facilitating technical support between the CMMS vendor, IT, and local users.
• Assisting with troubleshooting, upgrades, and maintenance of the CMMS.
• Ensuring CMMS solutions align with manufacturing needs and workflows.
• Lead automation projects, including planning, development, testing, and deployment.

Skills

• Expertise in Ignition by Inductive Automation, including Perspective, Vision, and scripting with Python.
• Strong SQL skills for database management and data analysis.
• Experience with web API development and integration (RESTful APIs, JSON).
• Knowledge of industrial communication protocols (e.g., OPC-UA).
• Basic knowledge of PLC programming and industrial IoT devices.
• Proficiency in troubleshooting and optimizing SCADA systems.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.
• CMMS-related skills:
• Basic understanding of CMMS platforms and workflows.
• Ability to liaise effectively between vendors, IT teams, and users.
• Experience with troubleshooting and resolving CMMS- system related issues.

Qualification

• Bachelor’s degree in Electrical Engineering, Computer Science, or a related field.
• 5+ years of experience in industrial automation, including SCADA system development.
• Demonstrated experience in supporting manufacturing environments.
• Experience in cross-team communication.
• Familiarity with standard SDLC practices, including testing, documentation, and version control.
• Experience in Statistical Process Control (SPC).
• Preferred:
• Certifications in industrial Equipment automation platforms.
• Experience with MES, SPC, CMMS systems, or manufacturing solutions.

Job Description

We are seeking a highly technical and strategic Senior Developer Relations Manager to join our team, with a focus on engaging with developers across Enterprise, Public Sector, Startups, and Independent Software Vendors (ISVs). In this role, you’ll drive the integration of our organization's GPU-Accelerated Computing platforms, with a strong emphasis on the Manufacturing industry. The ideal candidate brings a blend of deep technical expertise and project management experience, combined with a passion for developer advocacy and a talent for presenting how our technology can tackle sophisticated, real-world challenges.

What You'll Be Doing

• Serve as the trusted technical advisor, problem solver, and champion for researchers who are using our platform to drive adoption of our technologies.
• Identify and accelerate critical workloads by demonstrating groundbreaking solutions that integrate the core software stack into developer’s platforms and pipelines.
• Advise on the technical enablement resources—such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems in HPC and AI for the manufacturing sector across semiconductor design to automotive.
• Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.
• Collaborate cross-functionally with solution architects, engineering, product management, and marketing to drive researcher engagement.
• Plan and lead workshops and hands-on training to promote understanding of our technologies, striving to expand and deepen the developer ecosystem.
• Represent and advocate for researcher technical needs and feedback to our internal product and engineering teams, supplying actionable insights from research collaboration to influence product roadmaps.

What We Need To See

• BS/MS degree in Computer Science, Material Science, Engineering, or a related field (or equivalent experience).
• A minimum of 5+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, direct hands-on development experience in accelerated computing.
• Significant technical proficiency in manufacturing, vision inspection, digital twin in factory, high-performance computing, AI/ML.
• Excellent communication skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers to executives.
• Experience leading technical collaborations with engineering and product teams including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops.
• Proven ability to structure and complete complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external collaborators (across sales, legal, product or marketing teams as needed).

Ways To Stand Out From The Crowd

• Hands-on experience optimizing HPC and AI algorithm, Experience Accelerated Computing and Data Science Training, Industrial Digital Twins Training courses of our Deep Learning Institute, plus certification.
• Familiarity with advanced GPU computing, AI, and/or GPU acceleration platforms such as Metropolis SW Stack (Deepstream, TAO, Visual Search and Summarization Blueprint), PINN (PhysicsNemo), Omniverse, EDA Tools, Gen AI, computational lithography.
• Successful history of building and scaling developer communities and delivering impactful technical enablement programs.

Our organization is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you!