Graphics Designer Jobs

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. We are seeking an experienced Senior Software Engineer with a deep background in 3D computer graphics and engine development to join the ML Data Pod within the Foundation AI team. In this role, you will build the foundational infrastructure that powers our next-generation AI capabilities. As the AI landscape rapidly shifts toward spatial and 3D generation, high-quality data has become the ultimate bottleneck. You will be instrumental in solving this challenge by unlocking the Roblox engine as a massive, scalable platform for synthetic data generation. This is a unique opportunity to bridge the gap between cutting-edge AI research and low-level engine architecture. You will be navigating unmapped territory—shaping how we represent and structure complex 3D data (such as meshes, materials, lighting, and scene graphs) to effectively train state-of-the-art 3DGen models. Ultimately, the synthetic pipelines you architect will directly fuel the frontier AI models that will define the future of immersive 3D content creation for millions of creators worldwide. Responsibilities Synthetic Data Generation: Spearhead initiatives to leverage the Roblox engine to procedurally generate the massive, hi

About VSCO For years, we've helped photographers create their work. Now we're building what comes next. VSCO exists for photographers. Not as a side feature, not as an afterthought, but as the whole point. We build the connected system photographers rely on, and we've spent over a decade earning the trust of a global creative community that takes the craft seriously. Photography is at an inflection point. AI is reshaping what's possible for creative work, and that's where our mission shines. VSCO is building the full photographer's workflow: from creating and editing your work, to delivering it to clients, to running your business. All of it built thoughtfully, with photographers leading the way. We believe the future of photography tools creates more space for creativity, handling the busy work so photographers can focus on the craft. If you care about craft, community, and what technology can unlock for creative people, this is the work. We're a mission-driven and focused company where your work ships quickly, is meaningful, and reaches tens of millions of people worldwide. You'll have a real say in what we build and how we build it. We hire people who don't wait to be asked, naturally connect the dots, care about the quality of what they ship, and believe the best outcomes come from building together. About The Role VSCO is hiring a Senior Software Engineer to be a primary contributor on Reflex, our production GPU image-processing engine, and significantly guide the path it takes into Studio Pro on iOS and macOS. You will deepen a stack that is already in customers’ hands: new capabilities (RAW, large-image export, desktop), production quality (color correctness, memory, performance), and the contracts that let product engineers ship on top of the engine without becoming graphics programmers. In This Role, You Will Be a primary contributor on the Reflex imaging engine: DAG execution, WGSL operators, GPU resource/memory budgets, and color management (linear workin

About VSCO For years, we've helped photographers create their work. Now we're building what comes next. VSCO exists for photographers. Not as a side feature, not as an afterthought, but as the whole point. We build the connected system photographers rely on, and we've spent over a decade earning the trust of a global creative community that takes the craft seriously. Photography is at an inflection point. AI is reshaping what's possible for creative work, and that's where our mission shines. VSCO is building the full photographer's workflow: from creating and editing your work, to delivering it to clients, to running your business. All of it built thoughtfully, with photographers leading the way. We believe the future of photography tools creates more space for creativity, handling the busy work so photographers can focus on the craft. If you care about craft, community, and what technology can unlock for creative people, this is the work. We're a mission-driven and focused company where your work ships quickly, is meaningful, and reaches tens of millions of people worldwide. You'll have a real say in what we build and how we build it. We hire people who don't wait to be asked, naturally connect the dots, care about the quality of what they ship, and believe the best outcomes come from building together. About The Role VSCO is hiring a Senior Staff Engineer to own Reflex, our production GPU image-processing engine, and the path it takes into Studio Pro on iOS and macOS. This is a critical technical leader. You will deepen a stack that is already in customers’ hands: new capabilities (RAW, large-image export, desktop), production quality (color correctness, memory, performance), and the contracts that let product engineers ship on top of the engine without becoming graphics programmers. You will also lead company-wide engineering mentorship and force-multiplication — tools, workflows, and AI-assisted development that make the rest of the team more effective. In This

Job Details: Job Description: About the Role The Client Computing and Physical AI Group (CCG) is shaping the future of AI-enabled computing experiences. We are seeking a highly motivated Senior Customer Solutions Architect, Graphics & AI to drive customer adoption of Intel's graphics and AI technologies across next-generation client platforms. In this role, you will serve as a trusted technical advisor to strategic customers and ecosystem partners, helping define, architect, validate, and optimize innovative graphics and AI solutions. You will work across hardware, firmware, software, and platform teams to translate customer requirements into scalable product solutions while influencing future technology roadmaps. This position blends deep technical expertise, customer engagement, cross-functional leadership, and innovation to accelerate the deployment of Intel AI and graphics technologies. What You’ll Do Key responsibilities will include but not limited to: Be the center point of contact for technical collaborations with the customer and with various internal teams. Own end to end architecture of customer solution in alignment with product and IP architectures, and its translation to product requirements. Co define test vehicle and validation strategy, and collaboratively manage the execute schedule and resource negotiation. Drive technology tradeoff decisions ensuring customer needs are met, along with satisfying standards and specifications, and execution reality. Be the customer voice and collaborate heavily with internal execution teams and manage customer dashboards. Participate and contribute in identifying critical technology solutions for future product needs and influence roadmap.

Principal Program Manager, PMO – Graphics & Compute — Boise, ID - Main Site. Apply via Workday.

Director, Product Management, Graphics Platforms — 3 Locations. Apply via Workday.

NVIDIA has advanced computer graphics, PC gaming, and accelerated computing for more than 25 years. We are developing the next era of computing through AI, supported by dedicated people and a diverse, collaborative environment. We are seeking a SWQA Test Developer Engineer to join the Mobile QA Group and help deliver high-quality products built on NVIDIA Tegra systems on a chip (SoCs). You will be validating Nvidia Shield TV supporting AI-enhanced upscaling, 4K HDR, GeForce NOW cloud gaming, built in Google Assistant, which also supports Dolby Vision, Dolby Atmos, etc. You will work on AI platforms running Linux, Android, and proprietary operating systems, collaborating with engineers, workstream leads, and release managers. What you will be doing: Apply AI-powered tools and agents throughout the test development lifecycle to accelerate test generation, code development, test analysis, coverage improvement, log analysis, regression triage, root-cause analysis, and code reviews. Build and use an E2E AI Agentic Workflow with existing and custom agents and skills for every SDLC phase. This will expedite key objectives and important metrics of test and quality engineering. Develop AI framework for test strategies, plans, and detailed test cases from customer requirements; regularly implement tests for software features on Tegra-based platforms using AI-powered tools. Review product requirements, specifications, and technical designs, and provide feedback to improve testability and coverage. Develop applications, test tools, and automated tests using NVIDIA test frameworks for Tegra platforms. File clear bug reports, investigate failures, and work with engineers to triage issues and verify fixes. Collaborate with project management, hardware, and software teams; analyze priority bugs and share periodic quality metrics and reports with collaborators. Improve testing processes and

NVIDIA has transformed computer graphics, PC gaming, and accelerated computing for more than 25 years through exceptional technology and the people who build it. In semiconductor manufacturing, our role is to enable the ecosystem, not compete within it. We partner with fabs, equipment manufacturers, and software providers to make inspection, metrology, and manufacturing intelligence dramatically faster on the NVIDIA platform. Our team builds the software that makes this possible: models, adaptation and evaluation workflows, and deployable inference capabilities that partners integrate into their own tools. We work in environments where labeled data is limited and proprietary, distributions shift across tools and fabs, production budgets are tight, and software must operate inside air-gapped facilities. We’re seeking a Principal Systems Software Engineer for Semiconductor Inspection in Santa Clara. This is a hands-on architect role: you will define the approach, build it, evaluate it, and demonstrate the results. You will work across computer vision, time-series modeling, multimodal AI, anomaly detection, model adaptation, evaluation, and production inference. Success means technology that a fab or equipment vendor can integrate, operate, and trust—not only a successful internal demonstration. What you’ll be doing: Define and prototype AI system architectures spanning optical and e-beam inspection, wafer and mask inspection, metrology, defect review, equipment signals, and process data. Advance world foundation model capabilities for semiconductor manufacturing, including vision, time-series and multimodal representation learning, model adaptation, domain transfer, and data-scarce defect understanding. Develop workflows for defect detection, classification, localization, segmentation, nuisance filtering, ADC, AD

NVIDIA pioneers computer graphics, gaming, AI, and accelerated computing. We are looking for a Technical Platform Operations Lead to join our team and play an important role in scaling Sales AI applications and platforms. This position offers the opportunity to shape how these solutions operate after launch and help ensure they remain reliable, secure, well governed, widely adopted, and continuously improved. You will collaborate with Sales, Product, Engineering, Data, Security, and IT teams to strengthen platform health, improve the user experience, and increase business impact. What you’ll be doing: Lead end-to-end post-launch operations for Sales AI applications, including availability, performance, support readiness, releases, upgrades, and lifecycle planning. Develop effective processes for incident response, problem management, changes, and issue resolution. Coordinate timely recovery and lasting improvements. Analyze service-level indicators and objectives, adoption metrics, dashboards, alerts, and user feedback to identify risks, performance degradation, and usage gaps. Collaborate with partner teams to translate operational signals and user needs into prioritized improvements and roadmap inputs. Improve adoption and business value through usage analytics, enablement, feedback loops, and user experience enhancements. Establish governance practices for security, access controls, compliance, documentation, and platform support. Develop automation, observability, and self-service capabilities that simplify operations and reduce repetitive work and recurring incidents. Prepare new AI capabilities and releases for production with runbooks, monitoring, rollback plans, support models, and partner enablement. What we need to see: 8+ years of experience in technical operations, pl

NVIDIA pioneers computer graphics, gaming, AI, and accelerated computing. We are looking for a Senior Solution Architect with full-stack software engineering experience to join our team and play an important role in developing Sales AI applications. This position offers the opportunity to design, build, and evolve solutions that bring generative AI and intelligent workflows into everyday sales experiences. You will work across the application stack and collaborate with Product, AI and machine learning, Data, Security, Solution Architecture, and Engineering teams to deliver secure, reliable, and scalable solutions used globally. What you’ll be doing: Collaborate with application teams to design, develop, and maintain scalable full-stack solutions for enterprise sales workflows. Guide technical solutions across front-end, back-end, APIs, data services, integrations, and cloud infrastructure. Translate product requirements and business needs into secure, maintainable solutions and intuitive user experiences. Integrate generative AI models, AI services, APIs, retrieval systems, and agentic workflows into production applications. Design application architectures that support performance, availability, observability, security, scalability, and long-term maintainability. Lead technical design discussions, compare implementation approaches, make informed architecture decisions, and evaluate emerging technologies. Improve engineering practices for testing, code quality, continuous integration and delivery, monitoring, documentation, and production readiness. Investigate complex issues and develop solutions that improve reliability and user experience. Mentor engineers, share technical knowledge, and contribute to engineering standards and collaborative team practices. What we need to see: <

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 looking for a Senior GPU Networking Architect to join our networking software group, bringing strong GPU architecture and programming skills to build and improve GPU communication kernels. This role links GPU computing with networking by making sure communication primitives are carefully developed alongside GPU hardware capabilities. Join our team of engineers developing the software foundation for the largest AI systems globally. What you will be doing: Build, implement, and optimize GPU communication kernels that underpin collective and point-to-point operations in large-scale AI systems. Leverage deep knowledge of GPU architecture—thread scheduling, memory hierarchy, execution pipelines—to improve kernel efficiency, minimize latency, and overlap computation with communication. Develop GPU-resident communication primitives and device-side APIs that enable fine-grained, kernel-initiated data movement across nodes and accelerators. Profile and tune GPU kernels end-to-end, identifying bottlenecks at the intersection of compute, memory, and network, and driving targeted optimizations. Collaborate with network software, hardware, and AI framework teams to co-design commun

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. NVIDIA is seeking a Sr. Systems Software Engineer for the Apache Spark Acceleration group. Over the past five years GPU accelerated data processing has moved from proof of concept to production deployments. Many enterprises recognize accelerated computing is vital to handle their large data processing needs. Multi-node GPU deployments will reduce cloud computing costs and lower latency in batch ETL workloads. Apache Spark is the most popular data processing engine in data centers. At NVIDIA, we are developing an open source plugin to accelerate Spark applications on GPUs without any code changes. What you'll be doing: Enable C&#43;&#43; native execution of Spark operations on CUDA Develop CUDA/C&#43;&#43; libraries to accelerate DataFrames and I/O operations on common file formats such as Parquet, ORC and JSON Collaborate with distributed systems teams to craft solutions to distributed processing problems challenges at large scale Work with open source communities to enhance libraries like RAPIDS, CCCL and UCX through technical discussion and code contributions Provide recom

NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. As a Software Engineer in the GPU Networking Architecture team, you’ll lead advanced development and POC efforts for AI infrastructure solutions. You'll be collaborating with experts across distributed AI, deep learning, networking OS, virtualization, storage, and more. Come and join us for the cutting edge in GPU Networking! What you’ll be doing: Drive advanced development and POCs for AI infrastructure solutions in cutting-edge AI networks, integrating innovative software and hardware. Demonstrate team architectural concepts with larger NVIDIA AI software stacks. Work closely with various groups within NVIDIA to bring AI network technologies to reality, including GPU and Switch HW and SW teams, Product as well as fellow architects. What we need to see: A current student pursuing a B.Sc./M.Sc./PhD in Computer Science, Electrical Engineering, or Computer Engineering Proficient in C/C&#43;&#43; over Linux OS Development Skilled with gen-AI coding tools A teammate with a can-do attitude, high energy and excellent interpersonal skills. Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment. Stellar communication skills Please share your availability as part of your application. Ways to stand out from the crowd: Experienced in virtualization, networking Experience in development of Linux drives and networking stack Knowledge in AI communication libraries (NCCL, UCX, MPI and equivalents) Experience in Kubernetes NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world work

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. This role combines project leadership, compelling content creation, and creative storytelling. You’ll lead communications projects supporting HR, IT, Finance, Facilities, and Legal, creating content that connects NVIDIANs to our mission, priorities, and culture. Does this sound like an exciting challenge? If so, come show us what you've got! What you'll be doing: Lead employee communications projects supporting HR, IT, Finance, Facilities, and Legal, from planning through execution. Create compelling content across emails, intranet articles, newsletters, executive messages, and videos. Partner with central functions to ensure clear, aligned, and consistent messaging. Manage project timelines, editorial calendars, and review and approval processes. Measure communications effectiveness and identify opportunities to better engage employees globally. What we need to see: 8&#43; years of experience or equivalent demonstrated impact in internal communications, or related roles. Bachelor's degree in Business, Marketing, Communications, or related field, or equivalent experience. Outstanding writing and editing skills, with the ability to translate

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. Our team builds AI-driven software systems for Circuit Design: combining automation algorithms, DL models and agentic workflows to accelerate end-to-end design automation. Come join this integral team in our Circuit Solutions Group! What you'll be doing: Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon custom circuit design and related data, Circuit/Layout Optimization and Spice correlation Research and implement techniques on frontier solutions of electronic design automation. Build and innovate agentic AI solution for VLSI design problem. Responsible for analyzing the problem or datasets, raise and validate hypotheses, design and build models and algorithm until they reach the desired QOR. What we need to see: MS (or equivalent experience) with 3&#43; years’ experience or PhD with 1&#43; years’ experience in Electrical/Computer Engineering degree Experience in the following fields is a strict requirement for this role: Combinatorial Optimization, Agentic AI and large language models, Machine Learning for Chip Design & EDA Experience in Algorithms/Data Structures/