G

General Motors

Builds cars, trucks and SUVs for drivers

Global Purchasing & Supply Chain New Grad

Full-TimePosted on 10/20/2026Deadline 11/2/26
No salary listed
Entry
Bachelor's
Incheon, South Korea
In PersonOnsite; selected candidate reports to the designated location full time.
Operations & LogisticsSupply Chain Management

About the job

Requirements
  • AI Tool Lead: Experience identifying AI, automation, data analytics, or digital transformation opportunities and applying them to real work.
  • AI Tool Lead: Understand the business value, data requirements, and implementation feasibility of AI and automation technologies.
  • AI Tool Lead: Ability to diagnose underperforming technology initiatives and develop feasible improvement and operational transition plans.
  • AI Tool Lead: Project management, stakeholder coordination, communication, and change leadership capabilities.
  • AI Tool Lead: Ability to collaborate with business functions, technology and data teams, and external technology partners.
  • AI Tool Lead: English communication ability for collaboration with global and cross-functional organizations.
  • AI Tool Lead: Ownership, structured problem-solving, willingness to learn and apply new technologies, and strong ethics in responsible technology use.
  • Machine Learning/Deep Learning Expert: Ability to design, develop, validate, and apply machine-learning or deep-learning solutions in a supply-chain environment.
  • Machine Learning/Deep Learning Expert: Ability to use cloud-based AI/ML platforms and understanding of Google Cloud Platform or equivalent enterprise technology.
  • Machine Learning/Deep Learning Expert: Ability to automate processes using programming languages and tools such as Python, JavaScript, and Excel VBA.
  • Machine Learning/Deep Learning Expert: Flexibility in responding to new system migrations, including Google Cloud migration, process changes, and continuous improvement.
  • Machine Learning/Deep Learning Expert: Strong understanding of supply-chain operations, processes, and material flows in manufacturing.
  • Machine Learning/Deep Learning Expert: Leadership, ownership, and accountability for work.
  • Machine Learning/Deep Learning Expert: Strong English communication skills.
  • Machine Learning/Deep Learning Expert: Ability to analyze data, identify issues and improvement opportunities, and develop practical solutions.
  • Machine Learning/Deep Learning Expert: Ability to collaborate effectively with related departments and openness to new challenges and change.
  • Automation Specialist: Project-management capability covering capital investment, budgets, schedules, quality, risk, commissioning, and validation.
  • Automation Specialist: Understanding of manufacturing processes, automation safety, quality, and applicable laws and regulations.
  • Automation Specialist: Ability to analyze technical and commercial issues and develop effective solutions.
  • Automation Specialist: Ability to negotiate with suppliers and coordinate projects with diverse stakeholders.
  • Automation Specialist: English communication ability to lead collaboration with global stakeholders.
  • Automation Specialist: Analytical ability, ownership, and change-management capability.
  • Automation Specialist: Ability to use Microsoft Office applications, including Excel, PowerPoint, and Word.
  • Applicants must have graduated from a regular four-year university or higher with less than two years of experience, or be expected to graduate in February 2027.
  • Applicants must have an overall academic grade of at least B (3.0/4.5).
  • Applicants must have a TOEIC score of at least 750, OPIc level IM2 or higher, or TOEIC Speaking score of at least 130; only scores obtained within two years of the application deadline are accepted. Graduates of English-speaking overseas universities are exempt from submitting a standardized language score.
  • Applicants must have completed military service or be exempt from it.
  • Applicants must have no impediment to domestic or international business travel and must be legally eligible to work in South Korea.
  • Applicants must be available to participate full time during the training period.
Responsibilities
  • AI Tool Lead: Identify enterprise AI, automation, data analytics, and digital-transformation initiatives and prioritize them by business value and feasibility.
  • AI Tool Lead: Convert workplace problems into specific AI opportunities and assess expected value, data readiness, implementation difficulty, risks, and required resources.
  • AI Tool Lead: Analyze supplier quotations and cost data to identify negotiation and cost-saving opportunities, and develop and operate an AI-based purchasing analytics system to support purchasing decisions.
  • AI Tool Lead: Track purchasing analytics results and cost-saving performance and drive ongoing data-based improvement.
  • AI Tool Lead: Diagnose root causes of stalled initiatives or those failing to achieve expected results, and develop recovery, relaunch, or alternative plans.
  • AI Tool Lead: Coordinate business requirements, data, user needs, and technical designs with business functions, technology and data teams, and external technology partners.
  • AI Tool Lead: Establish standards for safe and responsible AI development and use, including data protection, information security, model performance, and human review and control.
  • AI Tool Lead: Establish training, change-management, and operating practices to transition AI pilots into sustainable workplace use.
  • AI Tool Lead: Measure AI adoption and business outcomes and report progress, key decisions, results, and lessons to executives.
  • AI Tool Lead: Share validated best practices and scale successful solutions across organizations.
  • Machine Learning/Deep Learning Expert: Design, develop, validate, and deploy deep-learning solutions for GSC AI/ML initiatives, including FASSt and S&OP, reflecting regional business environments and requirements.
  • Machine Learning/Deep Learning Expert: Adapt global supply-chain systems to local business needs and drive local implementation and continuous innovation of scalable GSC AI/ML solutions.
  • Machine Learning/Deep Learning Expert: Use Google Cloud Platform to improve systems supporting GSC AI/ML, including system monitoring, data-quality management, and workflow automation.
  • Machine Learning/Deep Learning Expert: Develop standard processes and reports to improve data accuracy, visibility, operational reliability, and execution.
  • Machine Learning/Deep Learning Expert: Independently maintain system inputs through part registration and system-data updates.
  • Machine Learning/Deep Learning Expert: Perform work in line with leadership strategy and direction and team goals and priorities.
  • Machine Learning/Deep Learning Expert: Contribute to overall supply-chain performance.
  • Automation Specialist: Establish automation strategies, medium- and long-term roadmaps, and standards aligned with manufacturing goals.
  • Automation Specialist: Develop strategic sourcing plans for automation technologies, including AMRs, AFTs, AGVs, ASRS, collaborative robots, and humanoid robots.
  • Automation Specialist: Lead RFQ preparation, supplier evaluation, negotiations on technical and commercial terms, supplier selection, and contract execution.
  • Automation Specialist: Assess OAMI (Overall Automation Maturity Index) at plants and suppliers.
  • Automation Specialist: Manage training, feedback, benchmarking, and improvement initiatives to raise automation maturity.
  • Automation Specialist: Manage automation concepts, feasibility studies, technical specifications, design reviews, installation, system startup, and commissioning.
  • Automation Specialist: Validate automation equipment and ensure a stable handover to plant operations.
  • Automation Specialist: Manage project scope, schedule, budget, quality, risk, production readiness, and performance.
  • Automation Specialist: Lead collaboration among manufacturing, engineering, purchasing, quality, safety, IT, finance, plant operations, supply chain, and global organizations.
  • Automation Specialist: Benchmark automation technologies and suppliers, standardize scalable solutions, and share global best practices.
  • Automation Specialist: Strengthen supplier and internal capabilities through governance, training, sharing improvements, and equipment lifecycle management.
  • Automation Specialist: Report project status, key decisions, and issues, and lead resolution of technical, commercial, and implementation problems.
Desired Qualifications
  • AI Tool Lead: Experience analyzing supplier quotations, costs, and purchasing data to identify cost-saving opportunities.
  • AI Tool Lead: Experience developing and operating AI-based purchasing analytics systems or workplace automation solutions.
  • AI Tool Lead: Experience implementing or operating data and AI solutions in cloud environments.
  • AI Tool Lead: Experience leading training, change management, and adoption of AI initiatives in business operations.
  • AI Tool Lead: Experience establishing or operating data governance, information security, or responsible-AI standards.
  • Machine Learning/Deep Learning Expert: Academic, internship, or project experience applying machine learning or deep learning to supply chains, demand forecasting, production planning, manufacturing optimization, or operational decision support.
  • Machine Learning/Deep Learning Expert: Experience using Excel VBA, Python, Power BI, TensorFlow, scikit-learn, or equivalent programming or analytics languages and frameworks.
  • Machine Learning/Deep Learning Expert: Experience with workflow automation, data pipelines, system monitoring, and data-quality management to improve operational reliability.
  • Machine Learning/Deep Learning Expert: Understanding of cross-functional innovation involving supply chain, manufacturing, IT, engineering, finance, sales, and external partners.
  • Machine Learning/Deep Learning Expert: Interest in identifying and implementing improvements in forecast accuracy, production-plan stability, production continuity, cost performance, and enterprise S&OP decision-making.

About the company

G

General Motors

View
Website

General Motors designs, builds and sells cars, trucks and SUVs for individual drivers and commercial fleets, with gasoline and electric models across mainstream and luxury markets. Its Chevrolet and GMC brands cover pickups and utility vehicles, while Cadillac focuses on luxury and Buick sells passenger vehicles. The group sells vehicles and replacement parts mainly through independent dealers, which handle customer sales, maintenance and repairs. Its captive finance subsidiary, GM Financial, earns revenue from vehicle loans and leases and also finances dealer inventories. General Motors traces its roots to 1908 and is headquartered in Detroit, Michigan.

Company Size

10,001+

Company Stage

IPO

Headquarters

Detroit, Michigan

Founded

1908

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Simplify Jobs

Simplify's Take

What believers are saying

  • Subscriptions extend GM revenue beyond car sales: OnStar One bills monthly or yearly for safety and connectivity.
  • Systems engineers get architecture ownership: GM's Core OS staff role shapes foundations across Linux, Android and QNX.
  • Affordable SUVs find buyers: GM reported record quarterly small-SUV sales in October 2026, led by Trax and Envista.

What critics are saying

  • China profits depend on partners: GM shares its vehicle ventures with SAIC amid excess capacity and domestic competition.
  • Demand is uneven: GM reported U.S. sales down 6% in October 2026, citing EV weakness and discontinued vehicles.
  • IT jobs face restructuring: GM confirmed global role cuts in May 2026, with reports estimating 500 to 600 employees.

What makes General Motors unique

  • GM shares battery production with LG: their Ultium Cells venture operates plants in Ohio and Tennessee.
  • GM controls Super Cruise map delivery: its own vehicle software and servers send location-specific road tiles.
  • GM sells backup power alongside cars: GM Energy connects compatible EV batteries to properly equipped homes.

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Benefits

  • Paid Vacation
  • Paid Sick Leave
  • Paid Holidays
  • Parental Leave
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • 401(k) Company Match
  • 401(k) Retirement Plan
  • Tuition Reimbursement
  • Student Loan Assistance

Company News

Yahoo Finance
Oct 21st, 2026
GM unveils $20B buyback as higher truck prices test buyers, despite earnings beat

General Motors (GM) approved a new $20 billion multi-year share buyback on October 20, after finishing an earlier $6 billion programme. The new programme has no expiry date. Chief financial officer Paul Jacobson told CNBC the stock trades at one of the lowest price-to-earnings multiples on the street, with a double-digit free cash flow yield. GM has cut its diluted share count by 37% over three years. Third-quarter revenue rose 2.9% to $50.02 billion, beating forecasts of $48.21 billion. Adjusted earnings per share rose 32.2% to $3.70. The stock still fell 8%. Investors worry about a cut of roughly 37,000 pickup trucks in fourth-quarter output and $1 billion to $1.5 billion in cost pressure. The average transaction price rose above $52,000, from $50,500 a year earlier.

TechCrunch
Oct 21st, 2026
GM bets on AI and a 40x faster central computer to take on Chinese automakers

GM unveiled a fourth-generation EV platform at its annual GM Forward event in New York, centred on new battery chemistries, revamped electric motors, and a new central computing architecture. The overhaul debuts in 2028 with the Cadillac Escalade IQ, alongside a hands-off, eyes-off autonomous highway driving feature. The Central Compute Unit (CCU) is 40 times more powerful than GM's current systems. Removing smaller chips cuts wiring by 30%, saving weight and simplifying assembly. GM aims to halve its four-to-five-year development timeline to match Chinese rivals, which work in two to three years. Engineers tested 300,000 virtual designs of a battery pack before building a prototype, and the concept became an approved program in one month. GM's capitalised software amortisation expense in 2025 was $866 million.

CNBC
Oct 21st, 2026
GM targets two-year vehicle development with AI push, eyes-off driving by 2028

General Motors plans to cut vehicle development time to roughly two years from concept to production, down from a traditional four to five years. The automaker will rely on artificial intelligence (AI), simulation, and concurrent engineering to shorten development and reduce physical testing. It gave no timeline for reaching the goal. The push comes as Chinese automakers move faster. AlixPartners says they bring vehicles to market twice as fast as traditional rivals, with 40% to 50% less investment. GM said it virtually tested more than 300,000 battery designs before building a single prototype. Its next-generation vehicles will have 40 times the computing power, debuting on the $130,000 Cadillac Escalade IQ in 2028, alongside eyes-off highway driving. An OnStar AI assistant will launch in the coming months on the 2027 Cadillac Lyriq.

TechCrunch
Oct 21st, 2026
GM gives OnStar an AI makeover, debuting in the 2027 Cadillac Lyriq

General Motors is adding a personal AI assistant to OnStar, the subscription-based connected car service it launched 30 years ago. The OnStar AI Assistant will debut in the 2027 Cadillac Lyriq EV in the coming months, with more GM vehicles to follow, the company said Wednesday at its GM Forward event in New York. GM will launch a new OnStar mobile app in 2027 that syncs with the in-car software. It will replace the OnStar Guardian app and the Buick, Cadillac, Chevrolet, and GMC brand apps. Unlike Google-powered earlier efforts, the assistant is built in-house. Drivers can use voice to control functions such as climate, ask about vehicle features, and set connected cameras to record events such as an aggressive horn honk. GM said customers can decide what data is shared, and that it cannot access camera recordings.

Wired
Oct 21st, 2026
GM unveils OnStar AI assistant to make drivers' car time more productive

General Motors (GM) wants to make drivers' time in the car more useful, relaxing, and engaging. At its annual GM Forward event in New York City on Wednesday, the company outlined its AI-driven plans. GM will launch an AI assistant called OnStar AI, starting with 2027 Cadillac Lyriq models. The name comes from the 30-year-old roadside assistance and security service, which has 12 million subscribers. Paired with a new app, the system will first let drivers turn on the air conditioning by voice, without using a menu. Chief product officer Sterling Anderson says it may later coordinate kid pickups and drop-offs based on which spouse's car is closer.