Data Infrastructure Engineer
About the job
- A Master’s degree or PhD in computer science, electrical engineering, mechanical engineering, applied mathematics, or a related field.
- Expertise and an exceptional track record in data engineering and operations, including SQL and NoSQL databases, system security, and access control.
- Familiarity with the advantages and disadvantages of data warehouses, data lakes, data pipelines, and batch and stream processing.
- A strong understanding of fundamentals and problem-solving skills.
- Understanding of software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.
- Expertise in at least one of C, C++, Java, Python, JavaScript, or Go.
- Strong verbal and written communication skills.
- Design and implement resource-efficient, low-latency data pipelines.
- Explore, evaluate, and select suitable frameworks for data science and big data processing.
- Provide tools and best practices for data access control, data versioning, and migration strategies for other teams.
- Write clean, maintainable, and well-commented source code.
- Proactively address problems using a research-oriented mindset and critically assess the advantages and disadvantages of different approaches.
- Independently read relevant literature and share insights and knowledge with stakeholders.
- Work in a cross-functional team that owns the full software lifecycle.
- Collaborate with other teams to make optimal software architecture decisions.
About the company
ASUS designs and sells computer hardware including motherboards, laptops, desktops, monitors, and smartphones, plus gaming gear under the Republic of Gamers (ROG) brand. Its products combine essential components and systems: motherboards connect CPU, memory, storage and cards; laptops and desktops integrate processing, graphics, storage, and display; monitors show visuals with gaming-focused features; and mobile devices provide portable computing. ASUS differentiates itself through a long history of engineering-led success (helping Intel with early motherboard designs), a strong focus on gaming performance via ROG, and past innovations like the Eee PC netbook that broadened access to laptops. The company aims to deliver reliable, high-performance computing and gaming experiences and to expand into AI-powered computing and other new technologies.
Company Size
10,001+
Company Stage
IPO
Headquarters
Taipei, Taiwan
Founded
1990
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Simplify's Take
What believers are saying
- Q2 2026 revenue reached TWD 241 billion, up 39%, with record profits.
- Server sales doubled on AI demand, with HGX and GB300 racks generating about 90%.
- September 2026 launches expanded ASUS AI servers, ProArt RTX Spark PCs, and Zenni Claw.
What critics are saying
- Q2 2026 inventory hit TWD 339.9 billion, tying up cash and working capital.
- Management said TWD 2.5 billion bonds fund growth because current resources cannot satisfy orders.
- Lenovo's 2023 patent fight ended September 17, 2026, but future IP attacks remain likely.
What makes ASUS USA unique
- ASUS spans AI infrastructure, PCs, gaming, creator, education, and healthcare in 2026.
- Computex 2026 introduced NVIDIA Vera Rubin racks, HGX Rubin, and RTX Spark systems.
- ASUS sells ruggedized long-life enterprise platforms with Intel and AMD partnerships across edge and cloud.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Unlimited Paid Time Off
Hybrid Work Options
401(k) Retirement Plan
401(k) Company Match
Wellness Program
Mental Health Support
Phone/Internet Stipend
Growth & Insights and Company News
6 month growth
9%1 year growth
9%2 year growth
9%ASUS has launched the XA P2N-E2, a 2U server built on NVIDIA's MGX architecture and powered by NVIDIA Vera CPUs. It targets agentic AI and reinforcement learning workloads, and was unveiled at OCP Global Summit 2026 in San Jose on October 12, 2026. The server handles tasks that sit outside the AI model itself, such as code execution, tool use, sandboxing, data processing, and orchestration. It supports up to two dual-slot NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. ASUS also showed a rack-scale AI POD, the XA VR721-E3, which combines 36 NVIDIA Vera CPUs and 72 NVIDIA Rubin GPUs with full liquid cooling. Its booth also features Intel Xeon 6 and AMD EPYC systems. ASUS servers are available worldwide, though availability varies by region.
ASUS has launched the Googlebook 14, a 14-inch ultraportable laptop designed for Gemini Intelligence. Priced at $1,299.99, the device is now available for pre-order through the ASUS Store and Best Buy. The laptop weighs 2.18 pounds with a 0.43-inch frame and features a magnesium-aluminium alloy chassis. It runs on an Intel Core Ultra 5 325 processor with 16GB memory and up to 512GB storage. The device includes a 14-inch 3K OLED touchscreen with 120Hz refresh rate and delivers up to 18 hours of battery life. The Googlebook 14 integrates Gemini Intelligence features, including Magic Pointer for on-screen object interaction and proactive suggestions. It comes with 12 months of Google AI Pro, offering expanded Gemini access and 5TB cloud storage. Connectivity includes two Thunderbolt 4 USB-C ports and WiFi 7 support.
ASUS and Poesis completed a week-long experiment deploying autonomous AI agents to trade in live financial markets. The system ran entirely on the ASUS ExpertCenter Pro ET900N G3 deskside supercomputer, powered by NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip. Eight AI portfolio-manager agents independently conducted investment research, managed risk, and executed trades using live capital. Each agent ran a different investment strategy, from long-only value to market-neutral quant. All agents used NVIDIA Nemotron 3 Super and operated on a single machine. The experiment demonstrated that autonomous investment workflows can function without relying on cloud-based AI infrastructure. The supercomputer features up to 20 petaFlops of AI performance and 748GB of coherent memory. "This was an early-stage experiment, but it showed that agents can operate continuously in live markets whilst remaining within clearly defined constraints," said Alex Popa, founder and chief executive officer of Poesis.
ASUS has expanded its AI infrastructure ecosystem through partnerships with Intel and AMD, alongside technology collaborators including Aleria, Foxlink, IBM, Samsung, Schneider Electric, and WD. The announcement was made at ASUS AI Tech 2026 in Seoul. The company unveiled several new servers powered by Intel Xeon 6 processors and AMD EPYC 9006 Series CPUs, designed for AI, high-performance computing, and data-intensive workloads. Notable models include the RS700-E12-RS4U, RS720-E12-RS12U, and ESC8000A-E13P, which features AMD Instinct MI350P PCIe accelerators. ASUS also introduced industrial edge computing solutions, including the Industrial Edge Server and RUC-2000 series embedded computer. The latter is powered by Intel Core Ultra Series 3 processors with up to 180 AI TOPS, targeting applications in factory automation, video surveillance, and healthcare. The servers are available worldwide, with regional availability subject to local requirements.
ASUS has unveiled its new ProArt lineup at IFA 2026, featuring the P16 and P14 laptops and GR1X mini PC powered by NVIDIA RTX Spark technology. The devices deliver up to 1 petaflop of AI performance with unified memory up to 128GB. The RTX Spark architecture combines a Blackwell RTX GPU with 6,144 CUDA cores and a 20-core NVIDIA Grace CPU. The systems can run 120-billion-parameter language models, render 3D scenes exceeding 90GB, and generate 4K AI video locally. The P16 measures 12.9mm thick and weighs 1.77kg, whilst the P14 is 13.9mm thick and weighs 1.48kg. Both feature ASUS Lumina Pro OLED displays with Delta E less than 1 colour accuracy and up to 1,600 nits peak brightness. The compact GR1X mini PC measures 150 x 150 x 51mm.