Senior Ai Computer Vision Engineer Jobs

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. We are seeking a Senior IT Auditor passionate about SOX and internal examination. The role supports the Senior Manager of IT SOX Compliance to strengthen NVIDIA’s internal control environment over financial reporting (ICFR). It involves collaborating with IT and accounting/finance groups to evaluate and build efficient business and IT controls that mitigate financial reporting risk. What you'll be doing: Plan, scope, and implement the end-to-end SOX 404 lifecycle, including walkthroughs, risk-control matrices, testing, deficiency evaluation, remediation, and reporting. Partner with process owners to assess risks in new and changing business processes,-identify the key IT controls, and build out narrative, flowchart and control description. Drive continuous improvement and automation by seeking opportunities to streamline, standardize, and automate controls, reducing operational friction while maintaining control effectiveness. Provide guidance and training to control owners to promote awareness and understanding of SOX compliance requirements. Serve as the primary point of contact for external auditors, and ensure a seamless, efficient audit process. Coach

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team , which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you’ll build identify graph to enrich unified customer profile and also identify high purchase value users to drive ROAS by machine learning model. What You’ll Work On Leverage scientific methods to build identify graph and identify high-value users Drive online experiments to continuously improve ROAS Own the project independently. Partner with product stakeholder, backend and frontend to provide measurement solution for our customers. What We’re Looking For Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, or related field. 3+ years of industry experience on identify graph, ID mapping and cross-device mapping in digital Ads related fields, and generate mapping and profile under large-scale data. Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.). Strong ownership and collaboration skills. #LI-AK1

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Open to overseas candidates/Visa Support This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan. The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team , which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you'll measure ads incrementality on different type of traffic, creative, users, and also improve campaign efficiency on combination having good incrementality by machine learning model and AI automation. What You’ll Work On Leverage scientific methods to improve ads measurement . Drive online experiments to continuously improve ads effectiveness. Own the project independently. Partner with product stakeholder, backend and frontend to provide measurement solution for our customers. What We’re Looking For Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, Econometrics, or related field. 3+ years of industry experience on causal inference, incrementality, marketing mix modeling or other measurement solutions on digital Ads related fields, and understand the

About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team , which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you'll measure ads incrementality on different type of traffic, creative, users, and also improve campaign efficiency on combination having good incrementality by machine learning model and AI automation. What You’ll Work On Leverage scientific methods to improve ads measurement . Drive online experiments to continuously improve ads effectiveness. Own the project independently. Partner with product stakeholder, backend and frontend to provide measurement solution for our customers. What We’re Looking For Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, Econometrics, or related field. 3+ years of industry experience on causal inference, incrementality, marketing mix modeling or other measurement solutions on digital Ads related fields, and understand the assumption and difference across methods. Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.). Strong ownership and collaboration skills. #LI-AK1

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Open to overseas candidates/Visa Support This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan. The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team , which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you’ll further improve bidding strategies, audience targeting and creative optimization by deep-diving RTB ecosystem including SSP/DSP/MMP to design the strategy, enhancing user signals or applying advanced deep learning model What You’ll Work On Deep-dive the RTB ecosystem to identify the potential direction and decide the bidding strategy Leverage advance deep learning model to improve bidding/audience model performance Co-work with teams to improve real-time/long-term user interaction signal collection and to further improve model performance What We’re Looking For Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, or related field. 3+ years of industry experience on RTB ecosystem Proficiency in Python and SQL experience with modern ML frameworks and deep learning model (PyTorch, TensorFlow, etc.). Strong ownershi

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 NVIDIA as a Senior 3rd Party Events Manager EMEA, where you will manage our third-party event presence across Europe. This role bridges strategy and practical application, ensuring NVIDIA achieves a strong presence at important industry events throughout the region. You will be part of a dynamic and ambitious team, driving smooth event coordination and presenting NVIDIA's world-class innovation. What you'll be doing: Lead and coordinate NVIDIA's third-party event activities across Europe, including prominent industry conferences, trade shows, partner events, and regional activations. Lead end-to-end event execution: from event vetting and selection through production, on-site management, and post-event reporting. Build and maintain positive connections with European venues, agencies, and third-party event organizers. Partner closely with regional marketing, product, and communications teams to ensure NVIDIA's presence reflects brand priorities and business goals. Manage event bud

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. We are hiring a talented Sales Operations Analyst based in Santa Clara, CA to support NVIDIA’s North America and Latin America (NALA) Enterprise Sales division. This role partners with Regional Industry Sales Leaders (RISLs), Regional Industry Sales Managers (RISMs), Account Managers (AMs), and senior sales leadership. Responsibilities include improving business visibility, facilitating effective resource use, and developing scalable operational procedures throughout the organization. What you'll be doing: Manage the NALA resource and headcount-planning process by collecting requests and business reasons from sales leaders. Facilitate prioritization, monitor approved and open roles, and prepare executive materials for leadership reviews. Support Zoom onboarding and enablement for the sales organization, including coordinating user access, training, office hours, adoption activities, communications, usage reporting, and issue resolution. Own the operating process for industry and territory reviews, including developing standardized templates, coordinating inputs, preparing performance analyses, scheduling leadership discussions, documenting decisions, and tracking follow-up actions. Analyze territory and account

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Identify and recruit partners aligned with our core markets in the logistics and automation space who can benefit from adding autonomous inventory monitoring. Work alongside our sales team to navigate complex enterprise deals, ensuring the value proposition of real-time warehouse visibility is clearly communicated. Lead technical and commercial workshops to ensure partners can confidently pitch, demo, and support Kargo's platform. Collaborate with partners to ensure Kargo's data feeds seamlessly into their customers' existing Warehouse Management Systems (WMS) and ERP platforms. Collaborate with our customer success and deployment teams to ensure successful partner-led implementations. Enable partners to successfully position, sell, implement and support Kargo's solutions. Establish partner success metrics, track performance, and continuously optimize the ecosystem. Experience 5+ years experience in channel sales, partnerships or business development, specifically within B2B Supply Chain Tech, Robotics, or Industrial AI. Deep understanding of warehouse operations, inventory accuracy challenges (shrinkage, misplacements), and the 3PL landscape. Experience discussing AI concepts like Computer Vision, Edge Computing, and API integra

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. About the Role: AI models reshaping how our community creates, plays, and connects, all run on Compute Platform. As Senior Product Manager, Compute Platform , you'll set the strategy and roadmap for Roblox's next-generation AI infrastructure: the rapidly growing fleet of GPUs and AI accelerators spanning Roblox core and edge data centers, and public cloud that decides how fast we can train, serve, and scale every model on the platform. You'll own the products that turn raw GPU hosts into reliable, production-ready AI compute - driver and firmware management, fleet-wide health and performance, and the abstractions product teams across Roblox build on. You Will: Drive strategy and roadmap for Compute Platform spanning Managed Kubernetes (Roblox Kubernetes Service), Managed Compute Services and other critical distributed systems, and our fleet of GPU and CPU machines managed via unified Fleet APIs - all across on-prem and cloud. Drive the evolution of our Compute infrastructure to support Roblox’s most critical workloads - from AI to Storage to Data Analytics and more - each with their own distinct requirements. Build and scale our GPU infrastructure to support training and inferen

At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. Applying to Render We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and

NVIDIA is leading 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 groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We build communication libraries like NCCL, NVSHMEM, and UCX that are crucial for scaling Deep Learning and HPC. We're seeking a Senior Software Architect to help co-design next-gen data center platforms and scalable communications software. DL and HPC applications have a huge compute demands and already run at scales of up to tens of thousands of GPUs. GPUs are connected with high-speed interconnects (e.g. NVLink, PCIe) within a node and with high-speed networking (e.g. InfiniBand, Ethernet) across nodes. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize NVIDIA's vision? What you will be doing: Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems. Design and implement new communication technologies to accelerate AI and HPC workloads. Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects. Build proofs-of-concept, conduct experiments,

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: We are looking for a Product Manager to join our Product team. You will own Vercel's compute platform — Fluid compute, Vercel, Functions, Sandbox, and more — the layer that runs every workload our customers deploy. You will set the direction for how developers configure, scale, and run code on Vercel, from a single function, to multi-service architectures, to agents. You will report to the Product Lead and will be located in San Francisco, CA (hybrid). Vercel invested in its own microVM-based compute infrastructure externally called “Fluid compute”. Fluid changed what’s now possible to run on Vercel. For example, we’ve delivered Sandboxes, a new primitive to run untrusted and agent-generated code. We are just scratching the surface of what Fluid is can deliver. This is a senior role with wide latitude: you'll decide where that platform goes next. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What You Will Do: Own the product vision, strategy, and multi-year roadmap for Vercel's compute platform. Define how Vercel serves AI and agent workloads, where long-running, I/O-bound, and code-executing tasks have a fundamentally different compute profile than traditional request/response traffic. Shape the developer experience of running workloads on Vercel: resource model

At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. Applying to Render We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and

At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 6.5 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $257M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. Applying to Render We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, an

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team Through our multi-dimensional imaging program, we build imaging tools that capture life across scales — from single proteins to whole organisms — revealing how proteins and cells function, communicate, and assemble into living systems. These observations are laying the groundwork for a new generation of AI models that can predict cellular behavior and guide the development of better treatments for widespread diseases. You can learn more about our work here . Our work brings together three powerhouse universities - Stanford, UC Berkeley, and UC San Francisco - into a single collaborative technology and discovery engine. Our Vision Pursue large scientific challenges that cannot be pursued in conventional environments Enable individual investigators to pursue their riskiest and most innovative ideas Facilitate research by scientists and clinicians at our home institutions and beyond We are a team of passionate individuals powered by technology, guided by scientific research, and driven by collaboration, working toward a mission to cure or prevent all disease. The Opportunity We are looking for a self-motivated individual with a scientific background to join the Lab Management team. This role will report to the Senior Lab Manager and support group leaders, platform leaders, and scientists within the Biohub to carry out their role(s). The Lab Management team is responsible for the day-to-day operations and implementation of processes to ensure smooth operation of the laborat