Computer Generated Image Producer Jobs

About the Team The Safety Training research team aims to fundamentally advance our capabilities for precisely implementing safe behavior in AI models, and to leverage these advances to make OpenAI’s deployed models safe and beneficial. This requires a breadth of new ML research to address the growing set of safety challenges as AI becomes more powerful and used in more settings. Key focus areas include how to train nuanced safety behaviors, how to make the model robust to bad actors, how to address privacy and security risks, and how to make the model trustworthy in safety-critical situations. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. About the Role We’re seeking a researcher to train and evaluate models for U.S. government use, with a focus on national security applications. You’ll advance safety post-training and robustness, helping models follow nuanced policies while preserving their usefulness and capabilities. In this role, you will: Research and implement methods for safety training, reinforcement learning, and adversarial robustness. Develop evaluations, identify model failure modes, and use findings to improve training. Work with research, engineering, security, and policy partners to support safe, reliable deployment. You might thrive in this role if you: Bring 4+ years of relevant AI safety research experience, including RLHF, adversarial training, or robustness. Have a degree in computer science, machine learning, or a related field, and strong deep learning research or engineering skills. Have experience improving model safety for deployment and enjoy collaborative research. Are motivated by OpenAI’s mission and the responsible use of AI in safety-critical settings. Security Requirements Active TS/SCI clearance or equivalent. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefi

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's NIM team and be part of an exceptionally ambitious project in Santa Clara, CA! As a Senior Software Engineer, NIM Tools, you will have the remarkable opportunity to build a groundbreaking model customization and deployment lifecycle platform from inception. This isn't just another feature team—you will be defining the structure for a new product surface accessed by ISVs and CSPs internationally. Your work will empower customers to take models from selection through fine-tuning, evaluation, deployment, and compliance flawlessly. What you'll be doing: Compose and build the fine-tuning handoff pipeline, including LoRA adapter repackaging, re-quantization, and re-validation into NIM. Develop the evaluation harness, ensuring models meet our high standards. Implement the observability and attestation layer to produce auditable compliance artifacts. Work in close partnership with ISVs and CSPs to roll out NVIDIA NIMs on a large scale. Define and improve durable platform APIs, steering clear of one-off integrations. Ensure flawless completion of projects through strict attention to detail and proven methodologies. Wha

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 the 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 a Developer Technology Engineer you will be at the forefront of innovation, working with leading industry partners and exciting OSS projects to accelerate RTX & DGX SoC performance for agentic use. This role offers an outstanding opportunity to collaborate with world-class talent and make a significant contribution to the next era of enterprise and consumer AI. What you'll be doing: Own key engagements with our fast-paced developer ecosystem partners, optimizing their applications to deliver outstanding end-to-end performance on RTX and DGX SoCs. Take ownership of performance optimization for compute-intensive CPU, AI, and 3D graphics workloads, working with domain experts to identify bottlenecks and implement effective solutions. Work across system software, GPU driver, architecture, and NVIDIA Research teams to influence next-generation, high-performance SoC platforms by bringing real-world workflows and actionable insights from partner and customer needs. Provide technical guidance and mentorship to junior engineers while contributing to an inclusive and high-performing team environment. What we need to see: BS or MS degree in Computer Science, Engineering, Mathematics or related degree (or equivalent experience) 5+ years of respective work experience as software developer Proficiency in C/C++, Python, software

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by great technology—and outstanding 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. Our team is looking for Senior System Engineers specializing in self-driving vehicle technology. As a senior member you will be responsible for integrating and maintaining end-to-end software with Sensing/Perception/Localization/Planning/Control included, ensuring its stable and safe deployment in the field. What you'll be doing: Develop and maintain the application as well as vital tools for autonomous driving Diagnose and tackle real exciting problems to provide the world with the best driving experience Vertical stack performance optimization What we need to see: BS/MS or higher in computer science or a related engineering field Excellent C and C++ programming 5+ years of relevant proven experience Experienced in developing system software in user space with capability digging into kernel and even low-level hardware Good understanding of Operating Systems, threading, synchronization and parallel computing to build highly efficient applications Familiar with underlying parallel architectures, CPU/GPU/DLA/DSP Excellent analytical, communication and collaboration skills in international organization Ways to stand out from the crowd: Software development experience with CUDA Prior experience in: Autonomous vehicles, Robotics, Computer Vision and/or ML Understa

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's GPU Performance Infrastructure team and be part of a brand-new journey in validating and shipping next-generation GPU architectures. At NVIDIA, we empower our engineers to innovate and drive powerful performance through innovative infrastructure and workflows. This role is uniquely positioned to influence the entire lifecycle of GPU performance verification, from early-stage modelling to post-silicon validation. With our bold standards and extraordinary team, you'll have the chance to define a significant impact on the future of computing! What you'll be doing: Build and develop end-to-end performance verification infrastructure. Build scalable data pipelines to surface performance metrics from simulation, emulation, and silicon environments. Coordinate with GPU architects to craft infrastructure for performance verification of upcoming architectures. Work closely with HW teams to automate and accelerate verification workflows, enabling faster GPU build iteration. Empower GPU architects by providing insights to understand current performance and model industry-leading performance for future builds. Improve the daily workflows of the wo

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. What you’ll be doing: As part of Operations Engineering team that plays a key role in developing new IC products, you will design, develop, and implement cost-effective methods of ATE testing. Offer creative solutions to improve test methodology of existing solution. ATE test method code debugging and development Scripting tools debugging and development Web-based tools debugging and development Help to solve production issues or throughput issues that might be related to test methodology What we need to see: Master/Bachelor degree in Engineering or Science 5+ years related working experience In-depth knowledge and hands-on experience in Advantest 93K ATE or other ATE platform Good skills in programming languages such as C/C++ or Java Strong problem-solving capability English communication capability is required Strength in presenting to technical audiences and generating content for developers Critical thinking, solution focused and attention to detail Ways to stand out from t

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by phenomenal technology – and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. 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 Site Reliability Engineer – Storage, you will own the reliability, performance, and scalability of our global NAS, SAN, and Object Storage platforms that power critical internal and external services. You will combine deep storage expertise with strong automation and SRE practices to design, build, and operate highly available storage systems at scale. What you will be doing: Lead design, deployment, and operations of production NAS, SAN, and Object Storage platforms, ensuring reliability, performance, and security. Capture requirements from partner teams, architect storage solutions, and drive end‑to‑end implementation for new and existing services. Develop, maintain, and improve automation for provisioning, configuration, monitoring, incident response, and lifecycle management of storage infrastructure. Participate in on‑call and incident response, lead troubleshooting of complex storage and performance issues, and drive root cause analysis and preventive actions. Define and track SLOs/SLIs and error budgets for storage services, using observability and analytics to continuous

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 an AI Native Startup Partner Managers to join NVIDIA for Startups — NVIDIA’s business got startups building on NVIDIA technologies across AI, accelerated data science, high-performance computing, and advanced visual computing. What you’ll be doing: Identify, engage, technically assess, and recruit the most relevant and promising startups across Europe building on NVIDIA-accelerated platforms, with a focus on Media & Entertainment, LegalTech, AI Developer Tools, Data Science, and Generative AI Evaluate startup technical maturity, architecture decisions, and platform alignment, including usage of CUDA libraries, NVIDIA SDKs, AI frameworks, GPU-accelerated data pipelines, and training/inference stacks Share ecosystem, technology, and developer-level insights with internal partners, translating startup feedback into actionable input for NVIDIA platform, SDK, and product teams Act as the voice of NVIDIA Inception members by developing a deep understanding of their technical roadmaps, research foundations, system architectures, and platform dependencies Provide AI Native priori

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIAN, you will address challenges spanning architecture, silicon, firmware, software, and production — and excellent judgment matters as much as technical depth! Every major NVIDIA silicon product family—from the chips powering AI and datacentre systems to gaming, professional, embedded, and automotive platforms—passes through our productization work on its way to production. NVIDIA’s Silicon Co-Design Productization team works from pre-silicon strategy and feature development through bring-up, characterization, correlation, and optimization. Our charter spans power & performance modelling, bring up & tuning of low-power features, power & thermal controllers , and system-level optimization that ultimately shape how NVIDIA products are configured, binned, specified, and shipped. What you'll be doing Drive silicon power productization from pre-silicon planning through bring-up and production, including test strategy, feature readiness, characterization, and optimization. Partner with architecture and design teams to identify improvements, validate features, and help translate them into production-ready solutions. Correlate measured silicon behaviour with pre-silicon expectations, investigate gaps, and drive complex issues to root cause. Build power and performance models and characterization methodologies that decide silicon binning, product specifications, productization decisions, and customer guidance. Use AI/ML and data-driven methods to analyse characterization & telemetry data, identify anomalies & trends , and accelerate issue debug across silicon, board, power delivery, firmware,

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's Nemotron Harness team. We are leaders in AI research, exploring machine learning, reinforcement learning, computer vision and natural language processing. As a Research Scientist, you will work on projects that seek to redefine general intelligence. This Zürich, Switzerland position offers an outstanding platform to participate in innovative research and impact the future of AI. What you will be doing: Conduct groundbreaking research to advance the science and technology of intelligent machines. Co-develop models with harnesses, increasing task horizon, improving memory and general intelligence capabilities in VLM/LLM systems. Work towards daring long-term research goals, while identifying and achieving immediate achievements. Influence the research community through high-quality publications and collaborative efforts. Open source high-quality code and ensure the reproducibility of your research. What we need to see: PhD or equivalent 6+ years of experience in Computer Science, relevant technical field, or similar, completed prior to joining NVIDIA. Research background in machine l

Work Flexibility: Hybrid What you will do: Work with product development team and help them with requirements management and system engineering. Assist in the deployment of tools such as JAMA etc. Work closely as administrator with functional leaders, organizational units, and subject matter experts on use case for projects and their processes. Train people, execute day-to-day configuration, support, maintenance and improvement of the tools, qualification of the tools and associated processes. Perform and own tasks including, but not limited to: User account maintenance, create filters and custom reports or dashboards for each project, as needed. Write script/ software to customize workflows and create configurations. Manage release cycles and validate the software tools and upgrade, backup, and baseline the project folders within each software tool. What you need: Required Qualifications: Bachelor’s degree in computer science, Computer Engineering or related field is preferred 2 – 7 years of experience Understanding of engineering lifecycle phases and design control processes and knowledge of Requirement Management and Test Management, Traceability. Experience with software and hardware defect tracking process and develop software using Python or any other scripting language & ability to understand and interpret electrical design and systems. Preferred Qualifications: Knowledge of JAMA workflows or similar tools like JI

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Want to create technology that matters while building your future and your professional network? If you’re getting your degree in Computer Science or a related technology area and looking to get hands-on, skill-building experience with a leader in the financial technology industry, Freddie Mac’s Technology Summer Internship program is for you! Through this internship, you’ll build on the knowledge and skills you’ve acquired in your undergraduate education – while getting real-world technology and innovation experience and making lifelong connections. Upon successful completion of the internship and your undergrad degree, you may be extended an opportunity to join our Technology Analyst Program – a 12-month cohort experience that springboards you into a fulltime technology career with the industry leader in the housing/finance industry! Our Impact Enterprise Operations + Technology (EO+T) helps run and transform Freddie Mac’s business — from building applications and modernizing cloud and data platforms to protecting systems from cyberthreats and keeping critical operations resilient. As an intern, you can contribute to work that improves how we serve customers and help make home possible for millions of families. We are accepting applications for this position until 10/16/2026 Your Impact As an intern, you will support exciting projects, including: Software Development/Application Support Participate on project teams to develop innovative, high-quality software solutions in an Agile development environment Help d

AI Solution Engineer Description - We are seeking an innovative and results-driven AI Solution Engineer to design, develop, and deploy next-generation AI-powered solutions that transform document workflows, business processes, and customer experiences. This role will leverage technologies such as Artificial Intelligence (AI), Large Language Models (LLMs), Natural Language Processing (NLP), AI Agents, Computer Vision, and Edge AI to create intelligent solutions for enterprise customers. As a key member of the imaging team, you will work closely with product management, imaging and software architects, and development partners to prototype, develop, integrate, and deploy imaging algorithms and scalable AI solutions that deliver measurable business value. You will help identify emerging technology opportunities, translate customer and business requirements into innovative products, and bring new imaging and AI-enabled capabilities to market. The ideal candidate combines strong software engineering skills with hands-on experience in AI application development, image science, machine learning technologies, and cloud-based services. You are passionate about innovation, thrive in a collaborative environment, and enjoy solving complex business challenges through technology. Responsibilities: Design, develop, and deploy AI-powered applications and solutions that improve productivity, automate workflows, and enhance customer experiences. Prototype and evaluate emerging technologies, including Large Language Models (LLMs), Natural Language Processing (NLP), AI Agents, Computer Vision, and Edge AI solutions. Develop intelligent document workflow solutions that leverage AI to extract insights, automate decisions, and streamline business processes. Collaborate with product managers, architects, and engine

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 owns the EMEA go-to-market motion for NVIDIA's Agentic AI Platform, helping customers and partners adopt, deploy, secure, and scale agentic AI on NVIDIA. The role works across enterprise, AI-native, ISV, cloud provider, public sector, defense, and regulated environments, translating NVIDIA software into practical adoption motions for priority workloads. The person should bring strong breadth across open and sovereign models, Nemotron, NVIDIA Agent Toolkit, NeMo, NIM, secure agent runtimes, evaluation harnesses, guardrails, confidential computing, cybersecurity, legal/commercial guidance, and AI Factory reference architectures What you'll be doing: Execute the EMEA Agentic AI Platform GTM plan across open models, Nemotron adoption, regulated software hardening, confidential computing, cybersecurity, and secure AI deployment. Position NVIDIA Agent Toolkit, NeMo, Nemotron, NIM, Dynamo, CUDA-X libraries, evaluation harnesses, guardrails, DGX OS, and AI Enterprise as one adoption path. Refine the sales toolkit across technical, commercial, legal, support, and terms-and-conditions tracks so field teams and partners can confidently position

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, a groundbreaking leader in computer graphics, AI, and accelerated computing, as a Segment Sales Lead in the United Kingdom. This role offers an outstanding opportunity to work with modern technology and collaborate with world-class teams dedicated to innovation. As part of the EMEA Leadership team, you will play a crucial role in driving growth by leading teams responsible to dedicated technology segments. We are looking for someone who is ready to compete in a dynamic environment and make a significant impact! What you'll be doing: Driving segment sales team in EMEA to support sales across selected products Developing and implementing sales strategies in collaboration with wider organisation. Collaborating closely with cross-functional teams to determine the best approaches for market penetration and expansion. Building and maintaining positive relationships with key collaborators and clients. Analyzing market trends and providing insights that drive strategic decisions. Reporting on sales performance and providing actionable recommendations for improvement.</s