Software Program Manager jobs at Nvidia in Taiwan, Taipei

What you’ll be doing:

• Designing and developing test and framework that can most efficiently validate and stress SOC/System and to see them through the full software development lifecycle. This can include working in user-space, kernel, firmware or boot software of SOC.

• Architecting and driving new diagnostic software solutions that cater to all phases of the product life cycle - bring up, manufacturing, hardware qualification, failure analysis and custom platforms.

• Spearhead various initiatives to improve efficiency, robustness and user friendliness of the software we deliver for design validation, thermal & power characterization, manufacturing screening, and external customers bring up

• Understand and participate in the debug /root cause analysis of very complex board/system level failures.

• Communicate optimally with various teams throughout the company, as well as customers and partners.

What we need to see:

• BS/MS in EE/CS or equivalent experience.

• Strong C/C++ programming skills.

• Experience with low level / driver level programming.

• Familiarity with SOC architecture, and ability to work close to the hardware.

• Strong problem-solving and debugging skills.

• Expert communication, interpersonal and planning skills.

Ways to stand out from the crowd:

• Solid understanding of ARM platform and Linux Kernel internals

• Experience in Pre-Silicon / Post-Silicon bringup planning, system validation testing, and execution of complex SoCs and platforms.

• Consistent record of learning new technologies on the job in a time-bound manner

• Experience working in teams on large SW projects as well as an understanding of SW product release lifecycle

What You’ll Be Doing:

• Design, develop, and maintain automated test frameworks and pipelines for server firmware and software.

• Implement and enhance end-to-end test automation to improve coverage, efficiency, and reliability.

• Collaborate closely with PM, development, tools, and AE teams to understand requirements and ensure comprehensive test coverage.

• Complete tests for server firmware and software to ensure high product quality and meet project schedules and customer needs.

• Support factory test processes to ensure firmware is robust enough for manufacturing.

• Analyze test results, debug failures, and provide actionable insights to improve product quality and reliability.

• Contribute to the continuous improvement of testing strategies, tools, and processes to drive innovation and quality.

• Work with AI tools to faciliate the automation process.

What We Need to See:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

• 5+ years of hands-on experience in test development, firmware development, automation, or software engineering.

• Strong experience with server firmware and corresponding test methodologies.

• Proven understanding of server hardware, BIOS/UEFI, BMC, and related firmware components.

• Experience with AI coding tools (e.g., Cursor, Windsurf, GitHub Copilot) and integrating them with MCP to test workflows.

• Excellent problem-solving, communication, and collaboration skills.

• Passion for quality, automation, and innovation in a fast-paced, dynamic environment.

Ways to Stand Out from the Crowd:

• Track record of driving automation initiatives or process improvements within a technical team.

• Ability to communicate technical findings and recommendations clearly to both technical and non-technical collaborators.

• Experience with multi-functional collaboration and working in distributed or global teams.

• Demonstrated ability to apply AI/ML techniques to optimize or innovate test automation workflows and improve testing efficiency.

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

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

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