Senior System Software Engineer - Github
NVIDIA is groundbreaking on a variety of fronts, including artificial intelligence, deep learning, robotics, autonomous vehicles, computing and, of course, bringing GPU to cloud. It is a very exciting time to be at NVIDIA! NVIDIA is searching for a highly motivated, creative engineer with experience in system software to join the GPU Virtualization team. As a member of this core team, you will be working with highly motivated and hardworking engineers. As someone who is hardworking and passionate about their work, you must be proactive, able to work independently & multi-functionally, multi-task and thrive in a multifaceted work environment.
What you’ll be doing:
Work closely with passionate engineers to design, develop, optimize, debug, unit test, document and maintain next-generation graphics and computing features for NVIDIA GPUs.
We work on next-generation GPU hardware and software features through all phases of development, and you will get an opportunity to work across user and kernel stacks.
Also work on customer issues and provide timely root cause of the problem and resolution.
Collaborate with many internal teams (software, hardware, architecture, QA and OEM support), partners and customers to define new products and features, and resolve issues.
What we need to see:
BS degree or higher or equivalent experience (computer science or related).
5+ years of industry experience.
In depth understanding of Windows or Linux device drivers, PC architecture and ability to work close to the hardware.
Proficient in C/C++ with strong software development, optimization and analytical skills.
Strong debugging skills and extensive experience using gdb/kgdb/windbg to analyze complex pieces of software.
Strong articulation skills for crafting and improving technical documents, and to engage globally distributed engineering team.
Ways to stand out from the crowd:
Understanding of Virtualization concepts and system software for ESX, Hyper-V or KVM.
Knowledge of DX/OGL graphics technologies, WDDM model.
Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.).
If you are driven to envision, define and deliver what’s next for the industry and your career while unlocking your full potential, come to NVIDIA. You will have the opportunity to grow in our flexible and multifaceted environment, challenge your thinking, and influence the future of technology. NVIDIA is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
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