Generative AI Graphics Engineer

Join Meshy as an AI Infrastructure EngineerLocated in the heart of Silicon Valley, Meshy is a pioneering force in the realm of 3D generative AI. Our mission is to Unleash 3D Creativity, revolutionizing the content creation process. We empower both professional artists and enthusiastic hobbyists to effortlessly craft extraordinary 3D assets, converting text a…

Join us at Meshy as a Machine Learning Systems Intern, where your passion for AI, graphics, and innovative product development will thrive in a collaborative environment.What We're Looking For:Commit to a full-time internship for a minimum of 12 weeks.Aiming to transition to a full-time role at Meshy post-graduation (ideal candidates graduating between September 2026 and September 2027 are preferred).Open to candidates pursuing undergraduate, master's, or PhD degrees.A solid foundation in technical skills, coupled with a drive for innovation and a willingness to tackle challenges.Your RoleAs a key contributor to our team, you will assist in developing the most extensive end-to-end 3D native machine learning systems. This role encompasses the entire ML framework, from pretraining to fine-tuning and inference. We seek individuals with robust hands-on engineering capabilities, a thirst for knowledge, and the ability to excel in a dynamic, ownership-driven setting.About UsAt Meshy, we envision a world where 3D creation knows no limits. Our mission is to unleash creativity by offering a comprehensive 3D content pipeline, which includes transforming text and images into 3D models, texturing, editing, and animation rigging. We have cultivated a thriving community for creators, providing a platform to share work, draw inspiration, and utilize assets across projects. Recognized as the leader in 3D generative AI (top-ranked in the 2024 A16Z Games survey), our technology is embraced by industry giants like Meta, Square Enix, and Deepmind, impacting sectors like gaming, film, 3D printing, and robotics.Your Next Challenge3D is at the forefront of Generative AI, presenting unique challenges in training and inference. Your journey with Meshy will involve a full stack of AI responsibilities, including debugging and monitoring hardware platforms, creating training frameworks, scaling high-throughput 3D data pipelines, and collaborating on innovative model architectures with our research team.

Who You AreAs a driven and innovative researcher, you thrive in dynamic environments and possess a self-starter mentality. A true collaborator, you excel at executing tasks efficiently. With a profound understanding of transformer architectures, you are proficient in Python and tensor programming. Your vision for AI extends beyond traditional linear sequences, and you embrace the concept of 'the scaling law'. You are adept at converting abstract ideas into tangible research objectives and implementation strategies. When communicating complex technical concepts, you provide clarity and insight. You welcome new ideas and eagerly share your expertise with the team. Your contributions are aimed at delivering real-world advantages for our researchers, engineers, and millions of users, as you help propel our mission to enhance AI's capabilities in understanding and generating 3D environments.Who We AreAt Meshy, we envision a limitless and accessible landscape for 3D creation. Our mission is straightforward: to unleash creativity. We have developed a comprehensive pipeline for 3D content creation, spanning from text/image inputs to 3D modeling, texturing, texture editing, animation rigging, and more. Additionally, we foster a vibrant community for creators, facilitating the sharing of works, drawing inspiration, and utilizing our platform as an asset marketplace for games and prototypes. Recognized as the top choice among 3D generative AI tools (per the 2024 A16Z Games survey), we generate substantial value used by enterprises, including Meta, Square Enix, and DeepMind, as well as millions of users. Meshy is instrumental in game and film production, 3D printing, industrial design, and enhancing features such as user-generated content and training simulations for robotics and physical AI.Your Next ChallengeAs a pivotal member of our team of research scientists and machine learning engineers, you will spearhead the development of our core 3D-native generative foundational model. In this role, you will engage in foundational research to elevate 3D AI, apply insights from various ML domains, and advance the state of the art. You will also pursue long-term ambitious research objectives while establishing intermediate milestones.Key responsibilities include:Designing, training, and refining large-scale 3D generative models, encompassing pre-training, post-training, and emerging paradigms in diffusion, flow matching, and multi-modal learning.

Who You AreWe are seeking talented Machine Learning Systems Engineers to contribute to the development of the world's largest end-to-end 3D native machine learning systems. You will collaborate on our comprehensive ML framework tailored for 3D applications, encompassing pretraining, fine-tuning, inference, and more. We value strong hands-on engineering skills, a passion for learning, and an ability to excel in a dynamic, high-responsibility environment.Who We AreAt Meshy, we envision a world where 3D creation is limitless and accessible to all. Our mission is clear: unleash creativity. We have developed a comprehensive pipeline for 3D content that spans text/image to 3D, texturing, texture editing, animation rigging, and beyond. Additionally, we foster a vibrant community for creators to share their work, draw inspiration from others, and utilize our platform as an asset marketplace for their games and prototypes. Recognized as the No.1 in popularity among 3D AI tools (according to the 2024 A16Z Games survey), Meshy delivers real value to enterprises such as Meta, Square Enix, and DeepMind, as well as millions of end-users. Our technology powers game and film production, 3D printing, industrial product design, user-generated content features, and even training simulations for robotics and physical AI.Your Next Challenge3D is the exciting new frontier of Generative AI, and your role at Meshy will present unique challenges in both training and inference. You will engage with the full stack of AI, from debugging and monitoring hardware platforms, building training frameworks, scaling high-throughput 3D data pipelines, collaborating with researchers on novel model architectures, to developing efficient inference engines for diffusion models and more. Here are some specific challenges on the training side:Collaborate closely with researchers to co-design the next frontier of 3D & Spatial AI.Develop and refine modern PyTorch solutions for maximum parallelism and efficiency, establishing a clean and intuitive training infrastructure for our foundational models.Identify bottlenecks and optimize for high throughput & efficient distributed model training across hundreds to thousands of GPUs.Implement and maintain 3D-specific custom operators in Triton or CUDA.Design and uphold novel data-loading frameworks and libraries.

About the Role Meshy is looking for a Fullstack Engineer Intern in Sunnyvale. This internship offers practical experience building web applications and services alongside a collaborative team. Interns contribute to different stages of the development lifecycle, from planning to implementation. What You Will Do Develop and maintain web applications and backend services Work with team members across the development process Gain hands-on experience with modern technologies

At Coram AI, we are transforming the landscape of video security in the digital age. Our innovative cloud-native platform leverages advanced computer vision and artificial intelligence to empower businesses with enhanced safety, smarter decision-making capabilities, and accelerated operational efficiency through features like real-time alerts, effortless clip sharing, and comprehensive multi-site visibility.Join our dynamic and agile team that prioritizes clarity, craftsmanship, and impactful contributions. Every team member plays a crucial role, delivering significant results and shaping the future of AI-driven security solutions.We are seeking an experienced Engineering Manager to lead our talented AI team at Coram. This team, although small, is exceptionally skilled and operates at the forefront of real-time systems, computer vision, and generative AI.In this hands-on leadership role, you will blend technical guidance, architectural oversight, recruitment, and team management. The ideal candidate will possess up-to-date knowledge of modern deep learning and generative AI, along with substantial experience in building and leading high-performance teams.

Cerebras Systems is revolutionizing the AI industry by developing the world’s largest AI chip, 56 times the size of traditional GPUs. Our innovative wafer-scale architecture delivers the computational power of dozens of GPUs on a single chip, while simplifying programming to the ease of a single device. This unique approach enables Cerebras to achieve unmatched training and inference speeds, empowering machine learning professionals to seamlessly operate large-scale ML applications without the complexities of managing multiple GPUs or TPUs. Our esteemed clientele includes leading model labs, global corporations, and pioneering AI-native startups. Recently, OpenAI announced a multi-year partnership with Cerebras, aiming to leverage 750 megawatts of scale to transform critical workloads through ultra high-speed inference. With our groundbreaking wafer-scale architecture, Cerebras Inference provides the fastest Generative AI inference solution globally, achieving speeds over 10 times faster than GPU-based hyperscale cloud inference services. This unprecedented speed enhances the user experience of AI applications, enabling real-time iterations and increased intelligence through advanced computation capabilities. About The RoleThe AI Infrastructure Operations Engineer (SiteOps) is an entry-level position focusing on the deployment, initialization, monitoring, and first-response troubleshooting of Cerebras AI infrastructure within data center settings. This role plays a critical part in supporting Cerebras systems, cluster server hardware, networking hardware, and monitoring tools.Your responsibilities will include ensuring the reliable operation and scalability of Cerebras AI clusters by executing established hardware initialization and validation protocols, monitoring telemetry data, performing initial troubleshooting, and escalating issues according to predefined workflows.

Cerebras Systems revolutionizes the AI landscape with the creation of the world’s largest AI chip, a remarkable 56 times larger than conventional GPUs. Our innovative wafer-scale architecture delivers the computational power of numerous GPUs on a single chip, simplifying programming efforts for users. This unique approach enables Cerebras to achieve unparalleled training and inference speeds, empowering machine learning practitioners to seamlessly execute large-scale ML applications without the complexities of managing hundreds of GPUs or TPUs.Our clientele includes leading model laboratories, global enterprises, and pioneering AI-native startups. Notably, OpenAI recently announced a multi-year partnership with Cerebras to deploy 750 megawatts of scale, significantly enhancing key workloads with ultra-high-speed inference.Thanks to our groundbreaking wafer-scale architecture, Cerebras Inference provides the fastest Generative AI inference solution globally, exceeding the performance of GPU-based hyperscale cloud inference services by over ten times. This significant speed enhancement transforms the user experience of AI applications, facilitating real-time iterations and augmented intelligence through additional agentic computation.About The RoleWe are on the lookout for a highly skilled and experienced AI Infrastructure Operations Engineer to oversee and manage our state-of-the-art machine learning compute clusters. In this role, you will have the unique opportunity to work with the world’s largest computer chip, the Wafer-Scale Engine (WSE), and the systems that leverage its extraordinary power.You will play a pivotal role in ensuring the health, performance, and availability of our infrastructure, maximizing compute capacity, and supporting our expanding AI initiatives. This position requires an in-depth understanding of Linux-based systems, expertise in containerization technologies, and experience in monitoring and troubleshooting complex distributed systems. The ideal candidate is a proactive problem-solver with a strong background in large-scale compute infrastructure who is reliable and committed to customer success.

Join Our Team at MeshyBased in Silicon Valley, Meshy stands at the forefront of 3D generative AI, dedicated to Unleashing 3D Creativity by revolutionizing the content creation process. Our platform enables both professional artists and enthusiasts to effortlessly craft extraordinary 3D assets, transforming text and images into beautiful 3D models in mere minutes. What once required weeks and substantial financial investment can now be achieved in just two minutes for only $1.Our exceptional team comprises leading experts in computer graphics, AI, and art, including alumni from prestigious institutions such as MIT, Stanford, and Berkeley, along with seasoned professionals from Nvidia and Microsoft. Our global workforce spans North America, Asia, and Oceania, cultivating a diverse and innovative culture aimed at tackling global 3D challenges. Supported by top venture capital firms like Sequoia and GGV, Meshy has successfully raised $52 Million to fuel our growth.As the market leader recognized as the No.1 platform among 3D AI tools (2024 A16Z Games) and the top site in traffic analytics (SimilarWeb, with 3 Million monthly visits), Meshy boasts over 5 Million users and has facilitated the creation of 40 Million models.Our founder and CEO, Yuanming (Ethan) Hu, earned his Ph.D. in graphics and AI from MIT, where he developed the renowned Taichi GPU programming language (27K stars on GitHub, utilized by over 300 institutions). His influential work has garnered multiple accolades, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations.Position OverviewWe are excited to welcome our inaugural Senior Data Scientist to the US team. In this pivotal role, you will design, construct, and implement advanced analytical and machine learning solutions that will significantly influence our product direction, growth strategies, and monetization efforts.Key projects will include:Developing recommendation systemsConducting user segmentation and behavioral modelingPerforming churn analysis, including NLP-based parsing of text feedbackForecasting lifetime value (LTV) and revenue predictionsBusiness and growth forecastingThis position necessitates a robust technical foundation, keen business acumen, and the capability to translate analytical models into actionable insights.

At Coram AI, we are revolutionizing video security for the contemporary landscape. Our innovative cloud-native platform leverages computer vision and artificial intelligence to empower businesses to enhance safety, make informed decisions, and accelerate operations, featuring real-time alerts, effortless clip sharing, and multi-site visibility.Joining our dynamic and agile team means becoming part of a culture that prioritizes clarity, quality, and impactful contributions. Every team member has a voice, delivers significant work, and plays a crucial role in shaping how AI can foster a safer and more interconnected world.We seek an exceptionally skilled software engineer to develop high-performance, real-time software that operates on edge devices while adhering to stringent latency and memory limitations. This position emphasizes deterministic execution, distributed system architecture, and low-level performance enhancements. You will focus on constructing the infrastructure and runtime systems that enable real-time robotics applications.

Join Wayve as a Cloud Infrastructure Engineer and play a pivotal role in shaping the future of autonomous driving technology. In this dynamic position, you will design, implement, and maintain scalable cloud infrastructure solutions that support our innovative projects. You will collaborate with cross-functional teams to ensure high availability and performance of our cloud services.

Join Coram AI, where we are redefining video security for a modern landscape. Our innovative, cloud-native platform harnesses computer vision and artificial intelligence to empower businesses with enhanced safety, informed decision-making, and rapid operational responses, ranging from real-time alerts to effortless clip sharing and comprehensive visibility across multiple sites.As a member of our dynamic and agile team, you will embrace clarity, craftsmanship, and impactful contributions. Every team member's voice matters, they deliver significant results, and collectively shape the future of AI in making the world safer and more interconnected.About the Role:At Coram AI, our infrastructure transcends the conventional cloud-based stack. Alongside our AWS and Kubernetes framework, we manage an extensive array of IoT devices remotely. We are seeking a skilled engineer to take charge of a substantial segment of our edge and cloud architecture that supports our IoT product line—responsible not only for infrastructure but also for developing and maintaining our proprietary in-house software.Joining our team means tackling intriguing challenges at the crossroads of user experience, machine learning, and infrastructure. It embodies a commitment to excellence, continuous learning, and delivering exceptional products to our clients in a high-energy startup environment.Key Responsibilities:Develop and maintain production-grade software for our custom edge infrastructure stack.Provision and manage resources within AWS.Oversee provisioning and management for hundreds of thousands of deployed connected IoT devices.Create CI/CD and automation pipelines for various components of the stack.Implement observability and telemetry across our cloud applications and edge devices.Assist in maintaining compliance with various security standards (e.g., SOC2, HIPAA).Enhance developer productivity by optimizing development workflows.This is an onsite role located in Sunnyvale.Qualifications:Minimum of 3 years of experience in developing production infrastructure on AWS using infrastructure as code tools like Pulumi or Terraform.Proficient in Docker and Kubernetes, especially EKS.At least 3 years of experience with programming languages such as Python, Go, or similar.

At Coram AI, we are revolutionizing video security for the contemporary landscape. Our innovative cloud-native platform leverages computer vision and artificial intelligence to empower businesses with enhanced safety, insightful decision-making, and accelerated operations; featuring real-time alerts, effortless clip sharing, and comprehensive visibility across multiple sites.Join our dynamic and agile team that prioritizes transparency, craftsmanship, and impactful results. Every individual’s voice is heard, contributing to meaningful projects that shape how AI fosters a safer and more interconnected world.Your Role:As the Sales Manager, you will spearhead and cultivate a team dedicated to defining Coram AI's market expansion strategies. You will be responsible for recruiting and mentoring Account Executives targeting mid-market and enterprise multi-site businesses globally. You will also own a significant Annual Recurring Revenue (ARR) target and collaborate with your team to close strategic deals.This hands-on role requires a builder’s mindset. You will report directly to executive leadership, establish a scalable sales motion, and influence product and go-to-market strategies based on field insights.Key Responsibilities:Recruit, lead, and mentor a high-performing team of full-cycle Account Executives focused on mid-market and enterprise business development.Own and surpass a multi-million-dollar new ARR target through disciplined pipeline management, forecasting, and execution.Lead proactively: build relationships with key stakeholders in strategic accounts and participate in team calls weekly.Establish a repeatable go-to-market strategy for mid-market across both SLED and corporate sectors.Collaborate closely with Executive Leadership, Marketing, and Product teams to refine Ideal Customer Profile (ICP), messaging, and pricing based on active deals.Develop the operational framework for the team: including territories, outbound strategies, qualification standards, deal reviews, and performance management.Set a high standard for team culture: encompassing preparation, call management, follow-ups, forecasting, and celebrating successes.In Your First Year, You Will:Recruit, onboard, and ramp up a team of Account Executives targeting mid-market and enterprise accounts.Generate pipeline to achieve 3x–4x coverage on your team’s ARR target while consistently exceeding expectations.Secure key customers that will serve as references and design partners for future growth and product enhancements.

At Coram AI, we are revolutionizing video security for an increasingly complex world. Our innovative cloud-native platform utilizes advanced computer vision and artificial intelligence to empower businesses to enhance safety, optimize decision-making, and accelerate operations. We offer real-time alerts, effortless clip sharing, and comprehensive multi-site visibility.Joining our agile and dynamic team means becoming part of a culture that prioritizes transparency, excellence, and substantial impact. Each team member has a voice, contributes meaningful work, and plays a crucial role in harnessing the power of AI to create a safer and more interconnected society.We are seeking a highly skilled Strategic Finance Analyst who will delve into our business operations and drive faster, smarter decision-making. This is not a traditional reporting position; rather, you will take ownership of the financial model, key performance indicator (KPI) framework, and performance insights, collaborating closely with the Head of Finance as a strategic partner. You will translate concepts and strategies into quantifiable metrics and bring your own insights to the forefront. If you thrive in ambiguous environments, desire true ownership, and prioritize meaningful impact over mere presentation, this role is tailored for you.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI. Established in 2017 and currently valued at $15 billion, this Silicon Valley-based company is developing critical digital infrastructure aimed at integrating intelligence into every moving machine worldwide. Serving industries such as automotive, defense, trucking, construction, mining, and agriculture, Applied Intuition excels in three primary areas: tools and infrastructure, operating systems, and autonomy. The company’s solutions are trusted by 18 of the top 20 global automakers, along with the United States military and its allies. With its headquarters in Sunnyvale, California, Applied Intuition has additional offices in key locations including Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.We operate primarily in-office, with a standard expectation for employees to work from their Applied Intuition office five days a week. However, we value flexibility and trust our employees to manage their schedules responsibly, which may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when necessary to accommodate family commitments.Role OverviewAs a key member of our cloud platform team, you will play a vital role in the development and improvement of our large-scale simulation infrastructure. Modern autonomous system development heavily relies on realistic, large-scale simulations to test ongoing software updates. Your focus will be on ensuring the efficiency and reliability of systems that manage these extensive workloads. The scale of our product workloads challenges the limits of conventional cluster deployments, and you will be instrumental in building and maintaining this infrastructure, while ensuring interoperability with various custom autonomy software used globally.You will collaborate closely with the entire engineering team to ensure operational success across our backend systems and various customer deployments at Applied Intuition.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technology. Since our inception in 2017, we have grown to a valuation of $15 billion, providing essential digital infrastructure that enhances intelligence across every moving machine worldwide. Our services cater to a variety of sectors, including automotive, defense, trucking, construction, mining, and agriculture, focusing on three primary areas: tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by 18 of the top 20 global automakers, along with the U.S. military and allied forces. Our headquarters is located in Sunnyvale, California, with additional offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.We prioritize in-office collaboration, expecting employees to work from our offices five days a week while also valuing flexibility. Employees can manage their schedules to accommodate remote work as needed, such as starting the day with morning meetings from home or adjusting hours for family commitments.About the RoleWe are seeking a dedicated Senior Software Engineer to take ownership of our HD maps infrastructure. Our innovative product suite leverages HD maps to meet diverse customer needs, including localized information calculation, global data querying, and map visualization and inspection. This role offers an exciting opportunity to shape the future of our mapping solutions through collaboration with both engineering teams and customers.Your Responsibilities at Applied Intuition:Manage and enhance our maps infrastructure across all products.Define the map storage format to support additional features and facilitate the distribution of map data, focusing on user interfaces, data pipelines, and SDKs.

Join CoreWeave, The Essential Cloud for AI™, where innovation meets performance. As a Full-Stack AI Engineer, you'll develop advanced AI applications and solutions that empower our clients to harness the full potential of artificial intelligence. Collaborate with diverse teams to create cutting-edge technologies that drive efficiency and growth. Our hybrid work environment in Sunnyvale, CA, or Bellevue, WA, allows you to blend in-office collaboration with remote flexibility. Learn more about us at www.coreweave.com.Responsibilities:Design and implement AI-driven applications using platforms such as LangChain, LangGraph, ChatGPT API, and Glean API.Create responsive web and mobile applications with React (TypeScript) and other modern front-end frameworks.Build robust backend services using Node.js and Go for efficient data processing and automation.Develop internal AI agents and copilots for Finance, Billing, and Supply Chain, integrating with various systems like ERP and HRIS.Implement APIs and microservices to facilitate modular and event-driven architectures.Utilize GenAI tools (Cursor, Claude, Copilot, ChatGPT Codex) to streamline development processes.Ensure the application stack maintains high observability, security, and maintainability.Work closely with Finance, Accounting, Security, and Engineering teams to create intelligent, user-focused workflows.About You:As a Full-Stack AI Engineer, you will play a crucial role in enhancing CoreWeave's internal ecosystem by designing and developing intelligent applications that offer automation and exceptional user experiences across various domains.

About the Institute of Foundation Models At the Institute of Foundation Models, we are on a mission to innovate and enhance the development of foundation models. Our research lab is committed to advancing AI through understanding, utilization, and effective risk management of these models. We aim to empower the next generation of AI developers and contribute significantly to a knowledge-driven economy.Joining our team means you will work at the forefront of foundation model training, collaborating with elite researchers, data scientists, and engineers. You will tackle pivotal challenges in AI development and contribute to the creation of revolutionary AI solutions that could transform various industries. Your strategic and innovative problem-solving skills will play a key role in establishing MBZUAI as a global leader in high-performance computing for deep learning, fostering impactful discoveries that will inspire future AI visionaries.The Role We are in search of a Foundation Model DevOps Engineer who will focus on Operational Stability to support our AI research infrastructure. You will be responsible for creating an efficient environment that facilitates model development. Your role involves building tooling, release pipelines, and storage policies that alleviate burdens on our research team. You will manage the foundational layer, ensuring that researchers have immediate, secure, and reliable access to essential tools, data, and computational resources.Key Responsibilities Model Release Engineering High-Fidelity Release Management: You will uphold the standards of our public presence, ensuring that all releases (weights, code, training logs, data) are reproducible, comprehensively documented, and presented with the professionalism of a leading open-source product.CI/CD for Research: You will design and implement pipelines that automate the testing and packaging of intricate model releases, transitioning us from manual procedures to automated validation.Repo Administration: You will administer the organization’s Git repositories, ensuring optimal performance and accessibility.

At Coram AI, we are revolutionizing video security for the contemporary landscape. Our innovative cloud-native platform leverages advanced computer vision and artificial intelligence to empower businesses to enhance safety, facilitate informed decision-making, and accelerate operations. This includes features such as real-time alerts, effortless clip sharing, and comprehensive visibility across multiple locations.Joining our agile and dynamic team means being part of a collaborative environment that prioritizes clarity, excellence, and impactful contributions. Every team member has a voice, delivers significant work, and plays a crucial role in shaping how AI can foster a safer and more interconnected world.We are seeking engineers who thrive at the nexus of robotics, real-time systems, and deep learning. This position focuses on implementing high-performance vision and multimodal models on robotic platforms, where factors such as latency, reliability, and hardware limitations are paramount.