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As a Senior Product Marketing Manager at NVIDIA, you will develop go-to-market plans and content (web pages, blogs, presentations) to promote NVIDIA AI technologies on cloud platforms.  You'll build customer success stories, manage events, integrate software solutions with marketing strategies, and review partner materials.  This role requires strong communication, storytelling, and a deep understanding of the NVIDIA AI platform and its value proposition.  Experience in a technology company and a passion for AI are essential. Responsibilities include collaborating with CSPs, creating marketing content, coordinating events, and ensuring alignment of messaging across different teams.

<p>Explore gaming industy jobs in one of the leading Game Studios.</p>

System Software Engineering Intern, Autonomous Vehicles - 2026

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<div data-automation-id="jobPostingDescription" class="css-4r17ng"><p>NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Join our team as a Senior Product Marketing Manager enthusiastic about AI and deep learning. Be part of innovating AI technologies, supporting cloud service providers.</p><p></p><p><b>What You’ll Be Doing:</b></p><ul><li><p>Develop go-to-market plans and content such as web pages, blogs, news, social media, and presentations to help CSPs promote NVIDIA technologies on their cloud platforms</p></li><li><p>Build customer success stories about end-users and ISVs using NVIDIA technologies on cloud platforms</p></li><li><p>Coordinate and manage events to showcase NVIDIA technologies and partnerships</p></li><li><p>Integrate software solutions with marketing strategies</p></li><li><p>Review partner marketing materials for value proposition and overall messaging alignment</p></li><li><p>Develop messaging and strategies to support partner and campaign marketing teams</p></li><li><p>Travel to trade shows, conferences, or technical sales training as needed</p></li></ul><p></p><p><b>What We Need To See:</b></p><ul><li><p>Undergraduate degree or equivalent experience in computer science, computer engineering, or relevant technical field</p></li><li><p>Experience developing content and speaking publicly to different audiences, with solid storytelling abilities. Please provide samples of public-facing content (blogs, decks, ebooks, etc.)</p></li><li><p>Demonstrated conceptual understanding of the NVIDIA AI platform and its value proposition</p></li><li><p>5+ years of combined experience in a product marketing or technical role at a technology company</p></li><li><p>Passion for getting things done quickly</p></li><li><p>Ability to prioritize multiple projects and work independently with minimal direction</p></li></ul><p></p><p><b>Ways To Stand Out From The Crowd:</b></p><ul><li><p>Direct experience in a marketing role at a CSP</p></li><li><p>Strong knowledge and understanding of the cloud computing and AI markets</p></li><li><p>Experience working with players in the AI and deep learning ecosystem</p></li><li><p>MBA or Master’s degree or equivalent experience in Engineering or Computer Science from a leading university</p></li></ul><p style="text-align:inherit"></p><p style="text-align:inherit"></p>The base salary range is 124,000 USD - 230,000 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>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

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Zoox is seeking a Senior/Staff Software Engineer, ML Performance Optimization to lead our ML Performance Optimization initiatives and make our Training and Inference platform that enables autonomous driving as fast and efficient as possible. You will get to work across all ML teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance, and Advanced Hardware Engineering group and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox. You will develop and execute a strategic vision for the ML Performance Optimization team, lead the design, implementation, and operation of cutting-edge ML Training and inference performance optimization techniques, and collaborate closely with x-functional teams, including ML researchers, software engineers, data engineers, and hardware engineers.

Offline Perception Internship/Co-op

<div class="section page-centered" data-qa="job-description"><div>Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in ML and CV to make autonomous driving as seamless as possible.&nbsp;</div><div><br></div><div><b>The Opportunity</b></div><div>Are you excited to lead our ML Performance Optimization initiatives and make our Training and Inference platform that enables autonomous driving as fast and efficient as possible? You will get to work across all ML teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance, and Advanced Hardware Engineering group and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox.</div><div><br></div><div>We build and operate the base layer of ML tools, deep learning frameworks, and inference systems used by our applied research teams for in- and off-vehicle ML use cases. You will lead a team of strong software engineers and act as a force multiplier for our internal customers. This team has a lot of growth opportunities as we expand our robotaxi deployments and venture into new ML domains. If you want to learn more about our stack behind autonomous driving, please look <a rel="noopener noreferrer" class="postings-link" href="https://zoox.com/autonomy/">here</a>.</div></div><div class="section page-centered"><div><h3>In this role, you will:</h3><ul class="posting-requirements plain-list"><ul><li>Develop and execute a strategic vision for the ML Performance Optimization team to unlock ML innovation in autonomous driving and rider experience.&nbsp;</li><li>Lead the design, implementation, and operation of cutting-edge ML Training and inference performance optimization techniques.</li><li>Collaborate closely with x-functional teams, including ML researchers, software engineers, data engineers, and hardware engineers, to define requirements and align on architectural decisions.</li><li>Enable the engineers in the team to grow their careers by providing technical guidance and mentorship.</li></ul></ul></div></div><div class="section page-centered"><div><h3>Qualifications</h3><ul class="posting-requirements plain-list"><ul><li>Strong experience with training frameworks like PyTorch, leveraging GPUs efficiently for distributed model training.</li><li>Experience with GPU-accelerated inference using TensorRT, Ray Serve, or similar frameworks.</li><li>Experience using profiling tools like NVIDIA's Nsight or PyTorch's Profiler for identifying model training and serving bottlenecks.</li><li>Proficient in Python and C++</li><li>Experience with model compression techniques to reduce model size and improve performance.</li></ul></ul></div></div><div class="section page-centered" data-qa="closing-description"><div><b>Compensation</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $200,000 to $332,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.</div><div>&nbsp;</div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a class="postings-link" href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><i><b>A Final Note:</b></i></div><div><i>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</i></div></div>