Graphics Designer Jobs

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a Video Specialist, you will contribute to SpaceXSI's mission by training and refining Grok's ability to interpret and generate video content with precision and technical depth. Key to this role is expertise in video editing, motion graphics, or VFX, a track record of producing high quality video work, and a strong understanding of how moving images are constructed in post-production. RESPONSIBILITIES: Use proprietary software to provide labels, annotations, and inputs on projects involving video and multimedia elements. Deliver high-quality curated data that captures the nuances of motion, timing, transitions, and visual effects, enhancing Grok's understanding of video as a medium. BASIC QUALIFICATIONS: Portfolio displaying excellence in video work - edited shorts, motion graphics, VFX breakdowns, compositing reels, or similar (personal website, YouTube, Vimeo, X account, ArtStation, etc.). Strong skills in video editing, pacing, color grading, and narrative flow. Hands-on proficiency with tools such as Premiere Pro, DaVinci Resolve, After Effects, Nuke, or similar. Ability to critically analyze and articulate what makes a video sequence work or fail at a tec

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to seek, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. What you’ll be doing: Working closely with product design engineers, you'll perform PCB layout of high speed/high-density value-conscious PCBs for all business units at NVIDIA (GPU Desktop, Notebook, Automotive, Professional, Data Center, Deep Learning, and AI), all using Cadence PCB design tools. Focus will be on the complete development of CAD layout from symbol creation, floor planning, and detailed component placement, constraints management, with a concept of topology and signal/trace integrity. You will be responsible for the design releases required generation of artwork files, ODB++, and electronic PCB documentation. Your designs will need to follow SI constraints, EMI/RFI control and FCC, UL and European regulations, IPC specifications and NRC regulations. What we need to see: B.Sc. in Electronic Engineer degree or equivalent experience. 5+ years of experience in high-speed design. Having a detailed knowledge of circuit design and consideration for layout, routing, and timing constraints, DFM, DFA, DFT constraints in volume manufacturing is needed for this role. Be an authority in using Cadence Allegro PCB design tools. Have a deep understanding of High-Density Interconnect PCB layout and PCB Signal Integrity. Knowledge in PCB ma

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We're looking for a Senior Performance Compiler Engineer to join our team and work on the open-source Triton compiler project. This opportunity involves working with new technologies and using compilers to improve AI performance on NVIDIA GPUs. Your work will enable breakthroughs in large language models, agents, and other high-impact AI applications, accelerating both training and inference. You will be immersed in a diverse, supportive environment where everyone is inspired to do their best work, pushing the limits of what's possible. What you’ll be doing: Investigating the latest and future NVIDIA GPU hardware architecture and programming models. Working on the frontier of AI by understanding advanced algorithms (like attention sinks and MoEs) and numerics (like block-scaled floating point) to identify new opportunities for optimization. Designing and implementing compiler technology using MLIR to optimize high-level kernel descriptions (written in Triton's Python DSL), with a focus on generating efficient, low-level GPU code. When vital, you'll also be able to use inline PTX to hand-tune critical code paths and extract peak performance from the hardware. Engaging in a dynamic, iterative process of optimization—sometimes starting with the kernel, sometimes with the compiler—to find the most efficient path to peak performance. Collaborating with teams across NVIDIA, including hardware architects and the CUDA compiler team, t

For three decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass gaming, artificial intelligence, media and entertainment, product design, healthcare and many other areas of scientific research. Today, visual computing is becoming increasingly central to how people interact with technology, and there has never been a more exciting time to join our team. Our Event Tech Ops team powers the technology behind hundreds of NVIDIA events worldwide each year—from major moments like CES and GTC to CEO Keynotes, product launches, demos, and everything in between. We provide the hardware, infrastructure, and hands-on technical support that brings every experience to life. We are now looking for an Event Tech Ops Engineer: A cool, fun, technical individual who will be working with various teams on NVIDIA’s latest products. This unique role requires a person who thrives in a fast-paced, highly dynamic environment and can adapt to a variety of challenges. What you'll be doing: Lab and Event Support: Manage, drive and autonomously provide event and tradeshow technical support for Marketing events such as CES, GPU Tech Conference and product launch events Conduct system builds, maintenance, imaging, testing and benchmarking for various OS and HW platforms Perform QC and maintenance of inventory and equipment Collaborate with multiple business orgs such as Marketing, Engineering and Sales for product testing, demos and coordination Maintain and update as

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join us! NVIDIA is redefining what’s possible with AI, and our Relational Foundation Model team is at the forefront of that mission. We’re building a single, unified foundation model that understands the structure and relationships within any relational database or heterogeneous graph — a fundamentally new approach to enterprise AI. As an engineer on this team, you won’t just be fine-tuning existing models; you’ll be designing and experimenting with novel Transformer and GNN architectures that generalize across diverse relational schemas. Your work will directly impact real-world applications spanning recommendation systems, demand forecasting, fraud detection, and predictive maintenance — all powered by one extensible model. You’ll collaborate closely with researchers and engineers across the full ML lifecycle, from architecture exploration and large-scale training to post-training optimization and inference acceleration. This is a rare opportunity to contribute to foundational research that ships into production and shapes the modern data stack. If you’re excited about graph learning, relational reasoning, and building AI systems that go far beyond single-table benchmarks, this is the team for you. What you’ll be doing: Collaborate with researchers/engineers to

Job Details: Job Description: The Role and Impact As a GPU Logic Design Engineer, you will contribute to the design and validation of cutting-edge graphics IPs, including compute, display, and media units. You will be immersed in the creation of register transfer level (RTL) coding, simulation, and optimization strategies to meet power, performance, area, and timing goals. By leveraging your expertise, you will play a pivotal role in enabling high-quality integration of GPU blocks into larger system-on-chip (SoC) designs, directly impacting Intel's future graphics technologies. Business Group You will be joining Intel's Data Center Group (DCG), a team dedicated to driving innovation and delivering high-performance solutions for data-centric workloads. The group focuses on developing advanced graphics hardware that powers data center GPU solutions, supporting Intel's broader mission of creating world-changing technology that enriches lives. It offers an exciting environment where collaboration and technical excellence intersect to shape the future of visual computing. Key Responsibilities - Develop logic design, RTL coding, and simulation for graphics IPs, ensuring compliance with power, performance, area, and timing requirements. - Participate in defining architecture and microarchitecture features for GPU blocks. - Optimize logic design to support physical implementation while maintaining design integrity. - Review and implement verification plans to ensure design features are accurately tested across verification hierarchies. - Drive unit-level verification and resolve RTL test failures to ensure feature correctness. - Support SoC customers in integrating GPU blocks effectively for high-quality results. <p style="text-align:inhe

Job Details: Job Description: Performs functional verification of graphics logic components, including 3D graphics, media, and display, to ensure design will meet specification requirements. Defines and develops scalable and reusable IP verification plans, test benches, and architecture for verification environment to ensure coverage to confirm to graphics microarchitecture specifications. Executes verification plans and defines and runs system simulation models to verify the design, analyze power and timing, and uncover bugs. Replicates, root causes, and debugs issues in the presilicon environment. Finds and implements corrective measures to resolve failing tests. Collaborates with GPU architects, RTL developers, and physical design teams to improve verification of complex architectural and microarchitectural features and to meet functional, performance, and power goals. Documents test plans and drive technical reviews of plans and proofs with design and architecture teams. Maintains and improves existing functional verification infrastructure and methodology. Participates in the definition of verification infrastructure and related TFMs needed for functional design verification. Qualifications: You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications: Bachelor Degree in Electronics, Computer Engineering or related engineering with 4&#43; year experience in silicon design development OR Master's Degree in Electronics, Com

Job Details: Job Description: Performs functional verification of graphics logic components, including 3D graphics, media, and display, to ensure design will meet specification requirements. Defines and develops scalable and reusable IP verification plans, test benches, and architecture for verification environment to ensure coverage to confirm to graphics microarchitecture specifications. Executes verification plans and defines and runs system simulation models to verify the design, analyze power and timing, and uncover bugs. Replicates, root causes, and debugs issues in the presilicon environment. Finds and implements corrective measures to resolve failing tests. Collaborates with GPU architects, RTL developers, and physical design teams to improve verification of complex architectural and microarchitectural features and to meet functional, performance, and power goals. Documents test plans and drive technical reviews of plans and proofs with design and architecture teams. Maintains and improves existing functional verification infrastructure and methodology. Participates in the definition of verification infrastructure and related TFMs needed for functional design verification. Qualifications: You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications: Bachelor Degree in Electronics, Computer Engineering or related engineering with 3&#43; year experience in silicon design development OR Master's Degree in Electronics, Com

Job Details: Job Description: Are you passionate about computer graphics? Working with leading engineers on Intel's latest GPU architecture? Now is the time to make your education count and work at Intel. As a PEY student, you can contribute to Intel's technology innovation. At Intel, we have a dynamic work environment with a team of experts and unique opportunities for your career development. You can enjoy your work at Intel with managers and colleagues who are eager to mentor you and help you to grow. The Thermal Mechanical group is part of the Platform Design Engineering team and is responsible for thermal, mechanical, and acoustic design & validation of Intel's AI & discrete graphics cards. The team is an essential part of delivering Intel's 3D graphics, media, display GPU, and AI inference technology. We are looking for a highly motivated, passionate individual who would contribute to the design and validation of our next generation of discrete graphics hardware and work with cutting edge design technologies. What You’ll Do Depending on project and team needs, you may have the key responsibilities will include but not limited to: Mechanical, thermal, and acoustic testing of graphics cards. Thermal management firmware validation using Python. Building computer systems and server-grade test setups. Developing scripts to automate test procedures and test reports. Preparing test reports. Mid to high volume dat

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence. We are now looking for a motivated Senior ASIC Physical Design Engineer, Netlisting to join our dynamic and growing team. If you want to challenge yourself and be a part of something great, join us today! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing! More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence. What you'll be doing: You will drive physical design of high-frequency and low-power CPUs, GPUs, SoCs at block level, cluster level, and/or full chip level, with a focus on netlist-related aspects such as equivalence checking, asynchronous checking including clock domain crossing checks and MTBF analysis, logic synthesis, netlist quality checks, etc. Help in all aspects of physical design, such as driving timing convergence, timing constraints generation and management, and ECO generation and implementation. What we need to see: BS (or equivalent experience) in Electrical or Computer Engineering with 5&#43

NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. NVIDIA data center systems have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA Networking, NVIDIA Data Center CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are seeking an excellent Senior System Engineer to work on bring up, integration, validation and troubleshooting for compute tray platforms of GPU Racks — ensuring servers are fully functional and validated as per requirement before mass deployment in data centers. What you’ll be doing: Working with a global team of architects and developers on NVIDIA AI server system (CPU, GPU, Memory, NIC, PCIe, NVMe SSD, Cooling, etc.) designs. Working closely with hardware teams to influence hardware system design, reviewing schematics and board design to ensure speed of light execution. Using simulation and emulation to left-shift early design and initiate new concepts and innovations. Hands on debug and support of early server prototypes bring-up and power on test debug in datacenter system labs. Factory and Manufacturing support: Support manufacturing flows, firmware updates, and diagnostic procedures. Ensure BOM change signoff and proc

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work , to amplify human imagination and intelligence. Make the choice to join us today. Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most complex semiconductor chips. What you'll be doing: As a member in our team, you will own and work with cross functional teams, implementing state-of-the-art designs in test access mechanisms, IO BIST, memory BIST and scan compression. In addition, you will help develop and deploy DFT methodologies for our next generation products. You will have the chance to define, prototype and deploy next generation DFX architectures and methodologies across all our products. This includes high speed test access architectures, the in-system-test architecture, ISO26262 functional safety diagnostic for in-field testing and beyond, silicon debug & bring-up, productization, and silicon life-cycle management among others As a member on our DFX Architecture team, your responsibility will be to craft key DFX architecture and methodologies to meet system level safety diagnostic test quality, in-field test quality, advanced defect screening and diagnosis to enable SLM for automotive, industrial, and robotics safety platforms etc. Collaborate with multi-functional teams like system architecture, chip architecture, ASIC design, verification, CAD, VLSI,

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. Design-for-X Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions in AI for Chip Design and AI for Predictions in various use cases in manufacturing testing on some of the industry's most complex semiconductor chips. What you'll be doing: As a senior member in our team, you will work on innovating in the DFT Power, Thermal & Voltage Noise Methodology areas. This will include working on groundbreaking low power & thermal solutions for our manufacturing tests to be enabled at conditions that push the boundaries for our datacenter GPUs. Partner with multi-functional teams including Product Development & Power Architecture, implementing brand-new methodologies on hard-to-solve problems for improving our outgoing quality of chips. You will work on post-silicon data analysis for power to architect the next-gen solutions. In addition, you will help develop and deploy DFT methodologies for our next generation products using Applied ML & Gen AI solutions. Help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: BSEE (or equivalent experience) with 12&#43;, MSEE with 10&#43;, or PhD with 6&#43; years of experience in DFT design & power

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. NVIDIA’s DFX team is looking for an exceptional DFT Engineer to help shape the future of compute. As stewards of the entire Scan Test Lifecycle, we drive innovation for the most advanced silicon in the world—spanning 2.5D/3D AI data center platforms, Gaming and Enterprise GPUs, and complex SOCs powering Autonomous Machines, Robotics, and Industrial systems. You will innovate at scale, designing and prototyping breakthrough Test Architectures for reticle sized, multi-chiplet products—from RTL to verification to post-silicon ATE bring-up. Join a globally recognized team that consistently delivers breakthrough performance across multiple high-impact tape-outs each year. What you'll be doing: Develop and deploy Industry-leading test methodologies on NVIDIA’s next-generation silicon platforms. Collaborate with leading EDA vendors to shape tool capabilities that meet NVIDIA’s ambitious design goals, and partner with internal CAD teams to drive scalable, automated solutions. Co-architect novel DFT strategies alongside VLSI and Product Engineering teams to push the boundaries of silicon test innovation. Own the full ATPG lifecycle—verification, coverage analysis, pattern generation, and ATE bring-up—across NVIDIA’s full product portfolio. Guide and mentor junior engineers, helping them navigate complex design

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. We are looking for an excellent engineering manager to own and deliver an end to end manageability stack for Data Center Systems. We are seeking an experienced manager who is deeply technical, hands-on, and has a wide system view. You will manage a team of experts, design & build OpenBMC based manageability software stack for NVIDIA’s next generation Data Center Compute Systems. We want to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you! What you’ll be doing: Own and deliver OpenBMC based manageability stack for next generation Data Center Compute Systems. Own firmware delivered to data centers in terms of quality, reliability and telemetry performance. Manage and lead a distributed team of software engineers to deliver firmware stack with high quality. Work with data center architects and cloud customers for correct requirements and scope implementation to ensure speed of light product development. Work closely with cross functional teams to ensure scalable manageability architecture for all data centers products Drive efficiency, reliability and optimization in firmware architecture from a data center view point. Work closely with customers and internal teams to resolve issues at Speed of Light. What we need to see: BS, MS, or PhD in EE/CS or related field o