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Micron Technology

Makes memory and storage chips for AI and PCs

Full-Stack AI Engineer

Full-TimeUpdated on 10/15/2026
No salary listed
Senior, Expert
Bachelor's, Master's
Singapore
In Person
Software EngineeringAI Application Engineering, Full-Stack Engineering

About the job

Requirements
  • A Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent industry experience.
  • At least 8 years of experience building and shipping production web, software, machine learning, or artificial intelligence applications end-to-end.
  • A track record of delivering solutions in complex cross-functional environments spanning software engineering, data science, robotics, manufacturing, automation, and infrastructure teams.
  • Experience designing and deploying scalable artificial intelligence applications, application programming interfaces, and data-driven solutions in production environments.
  • Expert programming skills in Python and modern JavaScript/TypeScript, with experience designing scalable software architectures.
  • Strong SQL proficiency and experience designing data ingestion and feature engineering pipelines for artificial intelligence and machine learning workloads at scale.
  • Experience with Docker, Kubernetes/OpenShift, cloud platforms such as AWS, Azure, or GCP, and continuous integration and continuous delivery pipeline ownership.
  • Experience with machine learning, deep learning, statistical modeling, predictive analytics, and large-scale computing frameworks.
  • Strong knowledge of generative artificial intelligence technologies, including prompt engineering, function and tool calling, Retrieval-Augmented Generation, large language model integration, agentic artificial intelligence patterns, model evaluation, and Responsible AI practices.
  • Experience working with distributed data processing platforms, enterprise artificial intelligence systems, and production artificial intelligence operations.
  • Experience with 3D modeling, simulation environments, robotics software stacks, or spatial artificial intelligence applications.
  • Ability to apply artificial intelligence literacy and digital fluency to use AI-enabled tools responsibly and effectively for research, analysis, content creation, problem-solving, operational tasks, automation, and achieving business outcomes.
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management skills.
  • Ability to influence technical decisions across cross-functional teams.
  • Strong collaboration, ownership, and execution mindset.
Responsibilities
  • Design, architect, and build end-to-end AI products, including data ingestion pipelines, feature engineering, model training and inference, APIs, web applications, and observability frameworks.
  • Develop responsive front-end applications using React, Angular, or Streamlit, backed by Python/FastAPI services, with strong type-safe development and test coverage practices.
  • Architect and maintain scalable, modular application layers that bridge real-time sensor, robotics, and manufacturing data with enterprise-facing dashboards and decision-support systems.
  • Design and develop full-stack integration of robotics platforms, Autonomous Mobile Robots, tool automation systems, and control systems with smart manufacturing applications and the Micron smart manufacturing ecosystem.
  • Design and implement digital twin environments, including 3D representations of fab layouts, AMR fleets, and tool stations, using platforms such as NVIDIA Omniverse, Gazebo, Unity Robotics Hub, or equivalent technologies.
  • Interface with Smart Manufacturing systems to integrate structured operational data into AI pipelines and digital twin environments.
  • Design and integrate large language models and agentic AI frameworks into production workflows for manufacturing and engineering users.
  • Develop AI-assisted robotics orchestration capabilities and 3D-aware AI features that leverage spatial data, equipment positioning, robot trajectories, and fab maps to improve anomaly detection, route optimization, and predictive maintenance.
  • Containerize AI and robotics services using Docker and deploy solutions through Kubernetes, OpenShift, and modern cloud-native platforms.
  • Package and deploy robotics software stacks, AI services, and 3D rendering workloads as containerized microservices supporting cloud, on-premises, and edge manufacturing environments.
  • Manage GPU-accelerated inference workloads and real-time simulation environments supporting AI, robotics, and digital twin applications.
  • Optimize AI application performance and cost through caching, batching, GPU utilization, model quantization, and inference optimization strategies.
  • Validate digital twin and simulation scenarios against real-world operational constraints before production deployment to support safe and reliable autonomous operations.
  • Lead implementation of continuous integration and continuous delivery, automated software releases, monitoring, model evaluation, drift detection, and AI application lifecycle management for production AI applications.
  • Apply Responsible AI practices, including input validation, prompt-injection defense, personally identifiable information and intellectual property protection, model governance, auditability, and compliance requirements.
  • Design and implement improvements to AI platform scalability, reliability, maintainability, performance, and cost efficiency.
  • Develop and communicate descriptive, diagnostic, predictive, and prescriptive analytics to support manufacturing and operational decision-making.
  • Develop, implement, and optimize machine learning, deep learning, and statistical models for structured and unstructured data.
  • Perform code reviews, provide technical mentorship, and drive software engineering best practices across project teams.
  • Lead testing, debugging, technical documentation, installation procedures, and maintenance strategies for AI and software solutions.
  • Integrate AI-assisted tools and insights into daily work to improve efficiency, quality, and effectiveness while complying with organizational standards, legal requirements, and governance policies.
  • Contribute to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one's scope of work.
Desired Qualifications
  • Experience in semiconductor manufacturing, industrial automation, robotics, or smart manufacturing environments.
  • Hands-on experience with digital twin platforms such as NVIDIA Omniverse, Gazebo, Unity Robotics Hub, Siemens Tecnomatix, Unreal Engine, or similar technologies.
  • Experience with MLOps, LLMOps, enterprise AI platforms, or large-scale AI deployment environments.
  • Familiarity with MES, Industrial IoT, advanced automation systems, or regulated high-reliability environments.
  • Experience with 3D modeling, simulation environments, robotics software stacks, or spatial AI applications.

About the company

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company Size

10,001+

Company Stage

IPO

Headquarters

Boise, Idaho

Founded

1978

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Simplify Jobs

Simplify's Take

What believers are saying

  • Demand is surging: in September 2026, Micron reported fiscal 2026 revenue of $133.19 billion, up from $37.38 billion.
  • Boise is hiring: in August 2026, Micron planned about 3,500 direct jobs at two Idaho fabs opening from 2027.
  • Sales are locked in early: by October 2026, most of Micron's 2027 HBM supply was contracted at higher prices.

What critics are saying

  • Revenue is concentrated: about half of Micron's sales came from its top ten customers in each of three years.
  • Departing engineers face scrutiny: in September 2026, Micron sued rival YMTC for hiring away at least 20 engineers.
  • Boise is feeling the strain: an August 2026 report found the $50 billion Idaho buildout straining local infrastructure.

What makes Micron Technology unique

  • AI memory is a three-player club: only Micron, SK hynix and Samsung make HBM, the stacked memory inside AI servers.
  • It owns its factories: Micron makes chips in Taiwan, Singapore, Japan, the U.S., Malaysia, China and India.
  • Data centers drive the business: its two data center units made $34.28 billion of quarterly revenue reported September 2026.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Disability Insurance

Parental Leave

Unlimited Paid Time Off

Paid Holidays

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

7%

1 year growth

7%

2 year growth

7%
Yahoo Finance
Oct 13th, 2026
AMD and SK Hynix could overtake Micron's $1.12T market cap within five years

Micron Technology has become the 11th largest company in the world, with a market cap of $1.12 trillion, driven by demand for memory chips in AI data centres, smartphones, and PCs. One analyst argues two rivals could overtake it within five years. Advanced Micro Devices (AMD), valued at $970 billion, saw second-quarter revenue rise 50% year over year to $11.5 billion. Data centre revenue jumped 107% to $6.7 billion, and AMD's share of the server processor market rose to 34.5% from 27.3%. SK Hynix, valued at $780 billion, holds 50% of the high-bandwidth memory market against Micron's 18%. It trades at 11 times earnings against Micron's 25, and analysts expect long-term earnings-per-share growth of 82%, versus 65% for Micron.

Yahoo Finance
Oct 13th, 2026
Five low-leverage stocks to buy as tech pullbacks and oil prices rattle Wall Street

Wall Street opened the week mixed. The Dow Jones edged higher, while the S&P 500 and Nasdaq slipped on rising oil prices and technology pullbacks. With geopolitical tensions fuelling uncertainty, Zacks recommends low-leverage stocks for risk-averse investors. These companies carry little debt, which helps them weather interest rate shifts and economic downturns. Its screen of debt-to-equity ratios, earnings growth, and Zacks Rank produced 19 stocks. Five picks stand out: Micron Technology, Casey's General Stores, Ganesco, Plains Group, and Vince Holding. Micron's quarterly revenue rose 266.3% year over year to $41.46 billion. Plains Group agreed to buy Silver Creek for $585 million in cash.

Yahoo Finance
Oct 13th, 2026
Micron's HBM4 ramp-up lifts gross margin to 87% on $54.23B quarterly revenue

Micron Technology is set to gain from rising demand for high-bandwidth memory (HBM) as AI companies build more powerful data centres. Fourth-quarter fiscal 2026 revenue jumped 379.3% year over year to $54.23 billion, while non-GAAP gross margin reached 87%, up from 45.7%. Full-year revenue rose 256.3% to $133.19 billion. Micron has agreed terms covering most of its 2027 HBM supply at significantly higher prices. Its 12-high HBM4 ramp-up is advancing twice as fast as HBM3E did, and it has shipped more than $1 billion in HBM4 revenue. The company expects a first-quarter fiscal 2027 non-GAAP gross margin of about 86.25%, though sustaining it depends on execution and continued AI spending. Micron shares have risen 246.5% this year.

Yahoo Finance
Oct 13th, 2026
Micron stock averages 19% Q4 gains, and $61.5B revenue outlook backs the pattern

Micron Technology shares have gained about 19% on average in the fourth quarter from 2016 through 2025, almost twice the 10% of the next-best quarter. The stock rose in seven of those 10 years. This year's quarter has started weakly. Shares are near $983, down about 8% from the September 30 close and about 19% below the record close of $1,213.56 on June 25. The three down years followed weak outlooks from the company. This year looks different: fiscal fourth-quarter revenue hit a record $54.2 billion, up 379% from a year earlier, and Micron expects about $61.5 billion next quarter. Memory prices are still rising, though more slowly. At $983, the stock trades at about 13 times fiscal 2026 earnings of $74.33 a share, and about six times analysts' fiscal 2027 estimates.

Yahoo Finance
Oct 13th, 2026
Memory selloff wipes $108B off Micron, SK Hynix and SanDisk as Musk says China scales fast

Elon Musk said China can often scale a product it has mastered beyond the rest of the world combined, but advanced memory "will be harder to solve." He cited lithium batteries and solar, and called SpaceX a rare exception. His comments on X came as memory stocks slid. The selloff erased a combined $108 billion from the market values of Micron, SK Hynix, and SanDisk after ChangXin Memory Technologies (CXMT) reported chip-design advances. Musk said low-power memory for phones and laptops follows a common standard that China "seems to be solving fast." High-bandwidth memory and stacked designs are tougher. TrendForce data put CXMT's share of global DRAM revenue at 9.5% in the second quarter, up from 7.6% in the first. Micron fell 3.88% to $989.04 on Monday and lost another 1.40% after hours.