NVIDIA Gruppe

NVIDIA is seeking engineers to develop algorithms and optimizations for our LPX inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. What you'll be doing Build, develop, and maintain high-performance runtime and compiler components, focusing on end-to-end inference optimization. Define and implement mappings of large-scale inference workloads onto NVIDIA's systems. Extend and integrate with NVIDIA's SW ecosystem, contributing to libraries, tooling, and interfaces that enable seamless deployment of models across platforms. Benchmark, profile, and monitor key performance and efficiency metrics to ensure the compiler generates efficient mappings of neural network graphs to our inference hardware. Collaborate closely with hardware architects and design teams to feedback software observations, influence future architectures, and codesign features that unlock new performance and efficiency points. Prototype and evaluate new compilation and runtime techniques, including graph transformations, scheduling strategies, and memory/layout optimizations tailored to spatial processors. Publish and present technical work on novel compilation approaches for inference and related spatial accelerators at top tier ML, compiler, and computer architecture venues. What we need to see MS or PhD in Computer Science, Electrical/Computer Engineering, or related field, or equivalent experience, with 6 years of relevant experience. Strong software engineering background with proficiency in systems level programming (C/C++ and/or Rust) and solid CS fundamentals in data structures, algorithms, and concurrency. Hands on experience with compiler or runtime development, including IR design, optimization passes, or code generation. Experience with LLVM and/or MLIR, including building custom passes, dialects, or integrations. Familiarity with deep learning frameworks such as TensorFlow and PyTorch, and experience working with portable graph formats such as ONNX. Solid understanding of parallel and heterogeneous compute architectures, such as GPUs, spatial accelerators, or other domain specific processors. Strong analytical and debugging skills, with experience using profiling, tracing, and benchmarking tools to drive performance improvements. Excellent communication and collaboration skills, with the ability to work across hardware, systems, and software teams. Ideal candidates will have direct experience with MLIR based compilers or other multilevel IR stacks, especially in the context of graph based deep learning workloads. Ways to stand out Prior work on spatial or dataflow architectures, including static scheduling, pipeline parallelism, or tensor parallelism at scale. Contributions to opensource ML frameworks, compilers, or runtime systems, particularly in areas related to performance or scalability. Demonstrated research impact, such as publications or presentations at conferences like PLDI, CGO, ASPLOS, ISCA, MICRO, MLSys, NeurIPS, or similar. Experience with large-scale AI distributed inference or training systems, including performance modeling and capacity planning for multi rack deployments.

NVIDIA is a world leader in AI computing. Our innovations are transforming industries and powering the era of AI and accelerated computing. At NVIDIA, we believe in creating solutions that improve lives and contribute to a more sustainable future. Solutions Architects are trusted technical advisors to our customers; we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence! We are looking for an individual who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end user solutions. Your duties will vary from working on proof of concept demonstrations to driving relationships with key technical leads and developers to ensure successful adoption of NVIDIA based AI technology. Engaging with developers, quants, data scientists, and senior leaders is a significant part of the Solutions Architect role. What you'll be doing: FSI Strategic Engagement: Work with financial institutions and their technology ecosystem to leverage NVIDIA's advanced technologies. Algorithmic & SDK Guidance: Guide customers in implementing next generation model distillation, domain adaptation, reinforcement learning (RL), and post training algorithms by helping them adopt NVIDIA AI SDKs and APIs. Collaborative Innovation: Work closely with product management, engineering, applied research, and sales teams to develop and deliver comprehensive solutions. Technical Advocacy: Improve NVIDIA products and build creative solutions to overcome scaling challenges at the intersection of computer architecture, libraries, and AI applications. Knowledge Sharing: Contribute to the wider organization and community by sharing your expert knowledge, contributing to open source projects, or delivering hands on training. Enterprise Impact: Be part of the team that helps bring NVIDIA technology to life in the Enterprise, acting as the face and trusted expert advisor that our customers and partners rely on. What we need to see: BS, MS, or PhD degree in Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related technical field. Financial Services Background: Proven experience working within Financial Services firms. AI Framework Expertise: 5+ years of experience with AI frameworks such as PyTorch, JAX, or TensorFlow, and libraries like Hugging Face Transformers. Programming Proficiency: Strong Python programming, software design, and debugging skills. Parallelism & CUDA: Deep understanding of distributed computing and parallelism methodologies (model and data parallelism) coupled with a good understanding or hands on experience with CUDA. Model Lifecycle: Experience with AI model lifecycle components, including pre training, supervised fine tuning, and model evaluation. Adaptability: Capable of working in a constantly evolving environment and quickly adapting to change. Communication: Clear written and oral communication skills with the ability to effectively collaborate with executives and engineering teams. Ways to stand out from the crowd: Advanced CUDA: Deep expertise in writing and optimizing code for training and/or inference specifically for NVIDIA GPUs. NVIDIA AI Enterprise: Experience with or contributions to NVIDIA deep learning frameworks, particularly NeMo, Megatron Core, or NeMo RL. Financial Workloads: Demonstrated understanding of how GPU acceleration can be applied specifically to financial workloads (e.g., algorithmic trading, risk modeling). Large Scale Training: Hands on experience in large scale foundation model training, accuracy, and performance profiling. Tooling & Orchestration: Experience with distributed computing tools like SLURM and Kubernetes for training large models on GPUs. NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.

NVIDIA Gruppe is searching for a Solution Architect for its AI Technology Centre in London, UK. This role involves engaging with top university research labs on Robotics and Physical AI initiatives. You'll work closely with academic partners while fostering strategic relationships to advance cutting-edge research. The ideal candidate will have a Ph.D. in a relevant field and significant experience in AI research, demonstrating exceptional communication and collaborative skills. NVIDIA values diversity and is an equal opportunity employer.

NVIDIA's Worldwide Field Operations (WWFO) team is looking for a Solution Architect with deep expertise in AI solutions and scalable data center infrastructure. Our innovations are powering the era of AI, and we need a technical leader to drive the design and deployment of cutting edge compute platforms. In this role, you will be the first line of technical expertise between NVIDIA and our customers, supporting and implementing solutions that address complex deployment challenges. You will work closely with customers, partners, and internal teams to deliver high-performance, scalable, and efficient data center architectures. We are looking for someone who can maintain alignment in a fast paced environment and build lasting relationships within the financial sector. What you'll be doing Financial Services Engagement: Work directly with trading firms and banks to leverage NVIDIA's advanced technologies for financial workloads. Infrastructure Design: Implement sustainable data center architectures that optimize energy efficiency and reduce environmental impact. Technical Specialist: Serve as a technical specialist for GPU and networking products, collaborating closely with account managers to secure design wins. Collaboration: Work closely with product management, engineering, and sales teams to develop and deliver comprehensive AI and accelerated computing solutions. Industry Interaction: Dynamically engage with developers, industry researchers, data scientists, and IT managers to solve a range of technical challenges. RA Reviews: Lead technical project aspects of complex data center deployments, including the review and validation of Reference Architectures (RA) for large scale financial infrastructure. What we need to see BS, MS, or PhD degree in Machine Learning, Computer Science, or a related technical field. Financial Firm Experience: Proven experience working within Financial Services firms. Accelerated Computing: Minimum of 8 years of experience in AI and accelerated technologies. Pre-Sales Expertise: Proven experience driving the technical pre sales process and engaging with customer engineers and architects. Large-Scale Systems: Proven experience with large scale systems management and infrastructure automation. GPU Stack: Experience with NVIDIA GPUs and related software stacks, such as cuDNN and NCCL. Core Infrastructure: Strong knowledge of AI and data center technologies, including proficiency in Operating Systems and Linux kernel drivers. Communication: Solid written and oral communication skills with familiarity in collaborative environments. Ways to stand out from the crowd Cloud Platforms: Proficiency in cloud platforms (AWS, Azure, Google Cloud) and hybrid cloud solutions. Orchestration & Tooling: Knowledge of software defined infrastructure, Kubernetes, and MLOps technologies. Advanced Cooling: Experience with liquid cooling technologies and practices. Systems & Networking: Hands on experience with InfiniBand, NVIDIA Networking technologies (DPU, RoCE), and ARM CPU solutions. Programming: Experience with Python or C/C++ programming and AI workflow development (training/inference). Benefits We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.

NVIDIA Gruppe is seeking a Solution Architect based in Reading, England, to drive the design and deployment of advanced AI solutions and scalable data center infrastructures. The role involves collaborating with financial services firms and delivering high-performance architectures to meet complex needs. The ideal candidate will have a relevant degree and significant experience in AI technologies, demonstrated pre-sales capability, and familiarity with NVIDIA's GPU stack. NVIDIA offers competitive salaries and promotes a diverse and inclusive workplace.

NVIDIA Gruppe is seeking a Solution Architect for the AI Technology Centre in the UK. This role involves high-impact research in Generative AI, collaborating with leading university research teams and utilizing NVIDIA's platforms to solve complex scientific challenges. The ideal candidate will hold a Ph.D. and possess significant research credibility in AI, with over 5 years of relevant experience. NVIDIA promotes a diverse work environment and values equal opportunity.

NVIDIA Gruppe is seeking a Software Sales Specialist in the United Kingdom to drive software revenue growth in EMEA. The ideal candidate will have at least 2 years of high technology sales experience, along with strong customer relationship skills and knowledge of AI. This role involves collaborating with account teams and partners to manage opportunities and ensure sales success. A Bachelor's degree is desirable, and international travel may be required. NVIDIA offers highly competitive salaries and a comprehensive benefits package.

NVIDIA Gruppe is seeking a Senior Deep Learning Engineer in the United Kingdom. In this role, you will optimize and deploy Cosmos World Foundation Models for high-performance inference on diverse GPU platforms. The position involves collaborating with research scientists and software engineers to enhance model efficiency. The ideal candidate will have strong backgrounds in deep learning and programming, with experience in inference optimization techniques. A salary range based on experience and location will be provided.

As Quality Assurance and Test Development Manager for NVIDIA's CUDA SW group, you will lead a team of engineers to develop test plans and highly efficient automated testing for GPU Cloud Computing products, ensuring accurate behavior, robustness, and performance criteria. Key Responsibilities Drive quality assurance and test development on GPU cloud computing products. Identify strategies and metrics for leading initiatives to continuously improve product quality and your team's capabilities. Guide your team to acquire AI skills, train on new technologies for quality assurance, and drive adoption and innovation of using AI to make the work perfect. Collaborate with development, program management, marketing, and engineering teams, negotiating requirements and deriving test solutions and proposals. Drive a "Zero Defect" culture by constantly striving for test plan improvement and perfection. Innovate to create new tools and processes to accelerate development and improve quality. Cultivate leadership in others. Qualifications BS or higher degree in CS/EE/CE or equivalent practical experience. 8+ years in SW development, SW QA or testing background, and at least 6 years' experience in a managerial role with a good track record. Ability to use AI to develop test cases, automation, and improve efficiency and performance. Proficiency in software and/or operating systems environments. Strong software development and verification process fundamentals. Experience using a quality mindset to drive improvements, passionate about quality, and demonstrating high standards. Organizational and interpersonal skills for driving complex issues to closure. Expertise in mentoring and coaching skills. Preferred Qualifications Familiarity with NVIDIA GPU hardware, CUDA, and DGX Cloud is a strong plus. Experience with Linux on compute clusters.

NVIDIA Gruppe is seeking a Quality Assurance and Test Development Manager for its CUDA SW group in Belfast. The role involves leading a team to enhance the testing processes of GPU Cloud Computing products, ensuring high performance and robustness. The ideal candidate should have a strong background in software development and QA, with significant experience in leadership. Familiarity with NVIDIA hardware and AI tools is advantageous. Join us in cultivating innovations that drive excellence in product quality.

We are looking to hire a CPU Compiler Engineer for an exciting and fun role at NVIDIA. We craft outstanding compilers that realise the potential of NVIDIA's CPUs designed for the world's largest AI and HPC workloads. Our compiler organization makes its mark on every CPU, GPU, DPU and SoC product that NVIDIA builds. Would you like to be part of this outstanding organization? We need you to design, develop and help improve the upstream GNU Toolchain for NVIDIA's CPUs. These compilers are key for the performance of AI, HPC and other performance critical software deployed on NVIDIA Data Centres, on the cloud and at super computing centres around the world. In this role you will solve critical problems working alongside an outstanding engineering team with vision in Compiler technology and systems software, doing what you enjoy! You will also be collaborating with the relevant upstream projects and improving the state of the art. If this sounds like a fun challenge, we would be delighted to hear from you. What you will be doing: Work with a geographically distributed partner organization to understand, modify and improve CPU Compiler SW at NVIDIA. Contribute new features and optimisation techniques targeting NVIDIA Grace CPUs engaging with upstream and open source communities. Develop compiler SW that is optimised for performance. Be part of a team that is at the centre of AI, HPC and data centre technologies. Help in the development of next generation CPU micro-architecture. What we need to see: BS or MS degree in Computer Science, Computer Engineering, or related field or equivalent experience More than 12 years of experience with compiler development in a production environment. Knowledge of Language Front-Ends or Compiler optimisation techniques and code generation modules. Strong hands on C++ programming skills Excellent verbal and written communications skills Ways to stand out from the crowd: Familiarity with CPU architectures such as Arm Architecture (AArch32, AArch64), RISC-V, x86_64, PowerPC or DSPs and engaging with pre-silicon compiler and toolchain contributions. A track record of working with industry standard compiler infrastructure such as GNU Toolchain and familiarity with LLVM Knowledge of AI algorithms, scientific HPC applications and related code optimisations. Meaningful contributions to free software and open source compiler communities. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most innovative and talented people on the planet working for us and, due to unprecedented growth, our world-class engineering teams are expanding fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

NVIDIA Gruppe is seeking a CPU Compiler Engineer to join their innovative team. This role involves designing and developing GNU Toolchain improvements for NVIDIA's CPUs, essential for AI and HPC performance. Ideal candidates have at least 12 years of compiler experience, strong C++ programming skills, and a degree in Computer Science. The position offers a competitive salary and extensive benefits in a diverse work environment. If you are passionate about technology and eager to contribute to groundbreaking projects, we would love to hear from you.