Jobs at Nvidia in Taiwan, Taipei

What you’ll be doing:

• You will work with ground breaking technologies for the Tegra SoC and various NVIDIA embedded platforms

• Implement power and thermal management software features in Linux Kernel and user space

• Collaborate with power architects, hardware and software engineers on usecase power estimation, power and performance optimization

What we need to see:

• MS in CS, CE, EE, Systems Engineering or related software/hardware engineering major

• Software development experience with a significant focus on Linux

• Excellent Cprogramming/debuggingskills within Linux kernel and user space software

• Background with working on embedded systems and ARM processor specific

• System-level debugging experience and problem-solving skills

• Excellent communication skills

Ways to stand out from the crowd:

• Experience in working with the Linux and open-source software communities

• Understanding of the Linux power management features (scheduler, dynamic frequency scaling, runtime power management, suspend to RAM), factors influencing power efficiency at chip and platform.

What you’ll be doing:

• Develop in-house software to enable advanced testing on NVIDIA hardware.

• Create automation flows to support ATPG and DFT requirements.

• Optimize software performance and drive quality improvements.

• Collaborate closely with Design, DFT, and Test Engineering teams to ensure test quality, improve efficiency, and support silicon bring-up.

What we need to see:

• Master’s degree in Electrical Engineering, Computer Engineering, or Computer Science.

• Strong programming skillsin Python and C++ (required).

• Experience with TCL, Perl, Java, or other programming languages is a plus.

• Strong communication skills with the ability to work effectively in a team environment.

• Fluency in English (spoken and written).

Ways to stand out from the crowd:

• Knowledge of Design for Testability (DFT) concepts, including Scan, ATPG, and JTAG.

What you'll be doing:

• Develop automation test infrastructure-based data center

• Work closely with AI infrastructure engineer to develop FW/OS feature testing

• Strong ability to work independently, given requirements

• Strong Linux development and debugging experience

• Demonstrable comprehension of Information Security, including malware, emerging threats, charges, and vulnerability management

What we need to see:

• Master’s degree in computer science or electrical engineering

• Experienced in effectively bringing to bear AI and knowledgeable in CI/CD tools

• Strong Python/C++ programming skills

• Excellent communication and social skills

• Excellent data analysis skills and the ability to resolve issues involving sophisticated systems

• Good at English read/write/speak

What you’ll be doing:

• Work with customers to provide deep technical assistance in NVIDIA requirements into customer platforms and rack solutions in the datacenter.

• Assist to achieve fully optimized design with NVIDIA products and provide customer feedback as to product features and software enhancement.

• Work for customers Datacenter platform brings up, issues analysis and root cause till mass production.

• Required tools development focus on NVIDIA Datacenter product segments needed.

• Provide tech training to customers for new Datacenter product engagement.

• Domestic and overseas travel will be required if needed.

What we need to see:

• BS or MS degree (or equivalent experience) in Computer Science/ComputerEngineering/ElectricalEngineering or a related field.

• 5+ years of significant software development experience.

• The Server System Architecture skill.

• Experience in developing server BIOS features, including security and UEFI implementation. Additionally, having BMC implemented will be another plus.

• Familiar with Linux/BMC skills/operations.

• Skills in C/C++ and Python will be a plus.

• Excellent communication skills, flexibility in task assignments, and working under pressure.

Ways to stand out from the crowd:

• Strong oral & written communication skills (both English and Chinese).

• Self-motivated and aggressive to learn.

What you'll be doing:

• Be part of an analog team developing high-speed chip interfaces and complex analog functions that enable our graphics processing units (GPU) and SoC products (Tegra)

• Design state-of-the-art mixed-signal circuits in deep sub-micron CMOS technologies.

• Work closely with physical/layout engineers to floorplan and implement physical design of these functions.

• Support debug, characterization and support product through high-volume production.

• If you have the dream to learn and explore new technologies and have good analytical skills, this is the ideal position for you.

What we need to see:

• You have a MSEE or PhD in Electrical Engineering.

• Proven understanding of analog circuit layout concepts in submicron CMOS technologies

• You have interests in more than one of the following areas: digital links for display interfaces (such as HDMI, LVDS, DVI, MIPI PHY, Display Port), USB, low-jitter clock synthesis using PLL techniques, IO pads, high-speed serial links, and ADC.

• Able to communicate in spoken and written English

• Work effectively in a team, good communication skills, enthusiasm and positive energy.

• Proficiency in scripting languages like perl, python, skill etc.

• Experience with design and verification tools (Cadence's IC design environment, analog circuit simulation tools like HSpice, Finesim, XA)

• You are an expert with Cadence custom circuit design tools - particularly virtuoso

• Experience running and debugging DRC and LVS with verification tools

doing:

• Drive and architect GFN cloud services and frameworks that form to build GeForce NOW. These services have requirements for low latency and high availability and throughput to support millions of gamers.
• Design, build and implement scalable cloud-based systems for SaaS/PaaS.
• Work closely with other teams on new products orfeatures/improvementsof existing products.
• Support, maintain and document software functionality.

see:

• Pursuing a Master's or Doctorate degree in Computer Science or related field.
• Experience with Go and building RESTful web services.
• Proven understanding of cloud design in the areas of virtualization and global infrastructure, distributed systems, load balancing and security.
• Working with Docker and Containers

crowd:

• Demonstrate previous usage of Kubernetes and Prometheus
• Exposure to AWS (Fargate, EC2, IAM, ECR, EKS, Route53 etc.)
• Experience with Infrastructure as Code
• Continuous Integration and Continuous Delivery (CI/CD).
• Exposure with Redis or Memcached
• Usage of pub sub models and message queue
• Familiarity with NoSQL DBs such as Cassandra