Senior Embedded System Software Engineer - Hypervisor and Virtualization
NVIDIA is hiring a Senior Embedded System Software Engineer - Hypervisor and Virtualization in Taipei, Taiwan. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
- The posting mentions Linux, Qnx and Android among its tools and skills.
- Level classes it as a senior role.
- NVIDIA has 2,700+ other open roles on Level.
AI in this role
Develop and integrate automotive and embedded software technologies, hypervisors, and virtualization for Tegra platforms.
NVIDIA has continuously reinvented itself over two decades. NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
This is our life’s work — to amplify human imagination and intelligence. NVIDIA Tegra platform is at the forefront of the computing revolution and providing powerful solutions for embedded and automotive markets. Now, we are now looking for a System Software Engineer in Automotive or Embedded field! You will work directly in developing or integrating NVIDIA software technologies into various NVIDIA Tegra platforms, including platform bring up, driver porting and integration, use case development, and problem solving. The candidate might work with the other team to provide deep technical assistance and also assist HW to achieve fully optimized design with NVIDIA products and provide HW feedback as to product features and software improvements.
What you’ll be doing:
Work directly in developing or integrating NVIDIA automotive or embedded software technology into various NVIDIA automotive or embedded platforms.
Create and implement software features.
Might work with customers to provide deep technical assistances.
Assist customers to achieve fully optimized design with NVIDIA products.
Provide partner feedback as to product features and software improvements.
What we need to see:
BS, MS, PhD in CS, CE, EE, Systems Engineering and 5 years of experience in a related software or hardware engineering position.
Good English language skills to work effectively with global teams.
Full experience at Linux.
Excellent knowledge with Hypervisor Software stack.
Experience working on embedded systems and ARM processor specific.
Excellent C skills.
Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, embedded system, RTOS, etc).
Ways to stand out from the crowd:
Excellent complex system-level debugging and problem-solving skills.
Self-managing and ability to break down complex problems into manageable tasks.
Experience working in following areas is a plus: QNX, Android, device drivers, multimedia, CUDA, Deep Learning, or AI.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
How we rate this
Senior Embedded System Software Engineer - Hypervisor and Virtualization at NVIDIA rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a project where embedded systems was part of your work. What did you do?
- Tell me about a project where hypervisor was part of your work. What did you do?
- Tell me about a project where virtualization was part of your work. What did you do?
- Tell me about a project where c programming was part of your work. What did you do?
- Tell me about a project where device drivers was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Embedded Systems, Hypervisor, Virtualization, C Programming, and Device Drivers. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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