NVIDIA's Silicon Solutions Group seeks a Senior System Integration Engineer to develop and validate system-level features for various markets (notebook, desktop, embedded, automotive, professional solutions).  Responsibilities include prototyping features on existing silicon, analyzing ROI, creating bring-up plans for new silicon, leading debug efforts (HW/SW interaction issues), crafting solutions, supporting manufacturing/customer teams, and collaborating with cross-functional teams. This role requires strong EE fundamentals, expertise in post-silicon bring-up and debug, and proficiency with various hardware and software tools.

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<div data-automation-id="jobPostingDescription" class="css-4r17ng"><div><p>NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence. Make the choice to join us today.</p></div><div><p></p><p>NVIDIA Silicon Solutions Group is seeking engineers to join our post silicon HW team. As a member of this team, you will be developing and validating system level features based on product needs that will be delivered to notebook, desktop, embedded, automotive and professional solution markets.</p><p></p><p><b>What you’ll be doing</b>:</p><ul><li><p>Develop and prototype system-level features on existing silicon, analyze return on investment, create/maintain feature bring-up plans for new silicon, and participate in bring-up execution.</p></li><li><p>Lead debug efforts from the HW side to root cause feature sequence bugs, silicon bugs, and complex system-level issues caused by interactions between multiple HW and SW features.</p></li><li><p>Craft creative solutions and WARs through lab experimentation and effective use of debug tools to achieve high product quality at a speed of light schedules.</p></li><li><p>Support manufacturing and customer-facing teams to expertly address production needs and issues with relevant features.</p></li><li><p>Work closely and proactively with other engineering teams such as system architects, chip and board designers, software/firmware engineers, HW/SW QA teams, and Applications engineering teams to drive design, development, debug, and release of next-generation products.</p></li></ul><p></p><p><b>What we need to see:</b></p><ul><li><p>BS or MS degree in Electrical or Computer engineering or equivalent experience.</p></li><li><p>8+ years of experience with system-level post-silicon bring-up and debug.</p></li><li><p>Strong EE fundamentals, knowledgeable in digital design, computer architecture, power analysis, timing analysis, fault analysis, sampling, statistics, and scripting.</p></li><li><p>Deep understanding of firmware/driver structures and their interaction with hardware.</p></li><li><p>Working knowledge of PVT dependencies and binning methodologies.</p></li><li><p>Knowledgeable in performance and power management techniques such as DVFS, clock and power gating, clock sequencing, binning, and power throttling.</p></li><li><p>Hands-on validation experience with lab debugging and tools (oscilloscopes, multimeters, logic analyzers).</p></li><li><p>Effective in a collaborative environment.</p></li><li><p>Excellent problem-solving, teamwork, and interpersonal skills.</p></li></ul><p></p><p><b>Ways to stan</b><b>d out from the cr</b><b>owd</b>:</p><ul><li><p>Bringup experience with GPU/SOC architecture is a plus.</p></li><li><p>Experience as a Silicon Bringup Lead.</p></li><li><p>Experience in succeeding in a highly matrix organization.</p></li><li><p>Driven process/methodology improvements.</p></li></ul><p></p><p>NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.</p><p></p><p>#LI-Hybrid</p></div><p style="text-align:inherit"></p><p style="text-align:inherit"></p>The base salary range is 168,000 USD - 310,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.<div><div><div><div><div><div><div><p><span>You will also be eligible for equity and <a rel="noopener noreferrer" target="_blank" href="https://www.nvidia.com/en-us/benefits/">benefits</a>. </span><span><i><span>NVIDIA accepts applications on an ongoing basis.</span><span> </span></i></span></p><p></p></div></div></div></div></div></div></div>NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.<p style="text-align:inherit"></p><p style="text-align:inherit"></p></div>