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Senior AI Infrastructure Software Engineer
You will collaborate closely with researchers to design and scale agents – enabling them to reason, plan, call tools and code just like human engineers. You will work on building and maintaining the core infrastructure for deploying and running these agents in production, powering all our agentic tools and applications and ensuring their seamless and efficient performance. If you’re passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation.
What you’ll be doing:
- Design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agentic tools.
- Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear LLMs and advanced agent frameworks at scale.
- Collaborate across hardware, software, and research teams, mentoring and supporting peers while encouraging best engineering practices and a culture of technical excellence.
- Stay informed of the latest advancements in AI infrastructure and contribute to continuous innovation across the organization.
What we need to see:
- Master or PhD or equivalent experience in Computer Science or related field, with a minimum of 5 years in large-scale distributed systems or AI infrastructure.
- Advanced expertise in Python (required), strong experience with JavaScript, and deep knowledge of software engineering principles, OOP/functional programming, and writing high-performance, maintainable code.
- Demonstrated expertise in crafting scalable microservices, web apps, SQL, and NoSQL databases (especially MongoDB and Redis) in production with containers, Kubernetes, and CI/CD.
- Solid experience with distributed messaging systems (e.g., Kafka), and integrating event-driven or decoupled architectures into robust enterprise solutions.
- Practical experience integrating and fine-tuning LLMs or agent frameworks (e.g., LangChain, LangGraph, AutoGen, OpenAI Functions, RAG, vector databases, timely engineering).
- Demonstrated end-to-end ownership of engineering solutions, from architecture and development to deployment, integration, and ongoing operations/support.
- Excellent communication skills and a collaborative, proactive approach.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD – 287,500 USD for Level 4, and 224,000 USD – 356,500 USD for Level 5.
Applications for this job will be accepted at least until November 17, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Solutions Architect – Data Center Infrastructure
Do you feel exited about taking a strategic product from launch to go to market at scale across the world’s largest customers? NVIDIA is searching for a skilled Solutions Architect to drive the collaborative effort of achieving Hyperscalers scale up for our innovative data center offerings.
As part of the NVIDIA Solutions Architecture team, you will navigate uncharted waters and gray space to drive successful market adoption by balancing strategic alignment, data-driven analysis, and tactical execution across engineering, product, and sales teams. You will serve as a critical liaison product strategy and large-scale customer deployment.
What you’ll be doing:
- Lead the end-to-end execution for key Hyperscalers customers to optimally and rapidly go-to-market at scale with NVIDIA data center products (e.g., GB200).
- Partner with Hyperscalers Product Customer Lead to understand strategy, define metrics, ensure alignment.
- Data-Driven Execution: Collect, maintain, and analyze sophisticated data trends to assess the product’s market health, identify themes, challenges, and opportunities, and guide the customer to resolution of technical roadblocks.
- Problem Solving & Navigation: Navigate complex issues effectively, embodying a productive leader who balances short-term unblocks with long-term process and product improvements.
- Executive Communication: Deliver concise, direct executive-level updates and regular status communications to multi-functional leadership on priorities, progress, and vital actions.
- Process Improvement: Integrate insights from deployment challenges and customer feedback into future developments for processes and products through close partnership with Product and Engineering teams.
What we need to see:
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
- 8+ years of combined experience in Solutions Architecture, Technical Program Management, Product Management, System Reliability Engineer or other complex multi-functional roles.
- Proven track record to lead and influence without direct authority across technical and business functions.
- Proven analytical skills with experience in establishing benchmarks, collecting/analyzing intricate data, and redefining data into strategic themes, action items, and executive summaries.
- Skilled in reviewing logs and deployment data, and aiding customers in resolving technical concerns (e.g., identifying performance issues associated with AI/ML and system architecture).
Ways to stand out from the crowd:
- Lead multi-functional teams and influence interested parties to address challenges in customer datacenter deployments, ensuring cluster health and performance at scale.
- Established track record of driving a product from the pilot phase to at-scale deployment in a data center environment.
- Hands-on experience with NVIDIA hardware (e.g., H100, GB200) and software libraries, with an understanding of performance tuning and error diagnostics.
- Knowledge of DevOps/MLOps technologies such as Docker/containers and Kubernetes, and their relationship to data center deployments.
- Confirmed capacity to align, adopt, and disseminate insights among various internal teams (e.g., collaborating with other program leads).
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 working for us. If you’re creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD – 287,500 USD for Level 4, and 224,000 USD – 356,500 USD for Level 5.
Senior Solutions Architect, Data Processing
NVIDIA is currently seeking a Solutions Architect for High-Performance Databases! Would you enjoy researching new algorithms and memory management techniques to accelerate databases on modern computer architectures? Do you like investigating hardware and system bottlenecks, and optimizing performance of data intensive applications? Are you excited about the opportunity to work on the top tier edge of technology with both visibility and impact to the success of a leader like NVIDIA? If so, the Solution Architecture Team invites you to consider this opportunity.
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, revolutionized parallel computing, and 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; join our team today!
What you will be doing:
- In this role, you will research and develop techniques to GPU-accelerate high performance database, ETL and data analytics applications.
- Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex data intensive workloads to ensure the best possible performance of current GPU architectures.
- Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA
- Influence partners (industry and academia) to push the bounds of data processing with NVIDIA’s full product line
What we need to see:
- Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree or equivalent experience.
- 8+ years of experience.
- Programming fluency in C/C++ with a deep understanding of algorithms and software design.
- Hands-on experience with low-level parallel programming, e.g. CUDA (preferred), OpenACC, OpenMP, MPI, pthreads, TBB, etc.
- In-depth expertise with CPU/GPU architecture fundamentals, especially memory subsystem.
- Domain expertise in high performance databases, ETL, data analytics and/or vector database.
- Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.
Ways to stand out from the crowd:
- Experience optimizing/implementing database operators or query planner, especially for parallel or distributed frameworks (e.g. production database or Spark).
- Background with optimizing vector database index build and/or search.
- Experience profiling and optimizing CUDA kernels.
- Background with compression, storage systems, networking, and distributed computer architectures.
Data Analytics is one of the rapidly growing fields in GPU accelerated computing. Data preprocessing and data engineering are traditionally CPU based and are becoming the bottleneck for Machine Learning (ML) and Deep Learning (DL) applications, as performance of the frameworks and core ML/DL libraries has been highly optimized leveraging GPUs. Many of today’s applications have complex data analytics pipelines that can benefit from optimizations in memory management, compression, parallel algorithms like sort, search, join, aggregation, groupby, scaling up to multi GPU systems, and scaling out to many nodes. Take a look at some of the open-source projects that NVIDIA employees have worked on: RAPIDS cuDF, NVIDIA nvcomp, NVIDIA Distributed join, NVIDIA cuCollections .
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you’re creative and autonomous, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD – 287,500 USD for Level 4, and 224,000 USD – 356,500 USD for Level 5.
Senior Solutions Architect, Physical AI and Omniverse
We are looking for a Solutions Architect, Physical AI & Omniverse, passionate about the ground-breaking potential of operationalized industrial digital twins for 3D simulation, generative AI, and synthetic data generation. This is the era of physical AI, and at NVIDIA, through the Omniverse libraries and SDKs, alongside the Cosmos world foundation models and Omniverse RTX rendering, is pioneering advancements in AI by enabling systems to be designed, simulated, trained, and tested in physically based realistic virtual environments. This role offers a unique chance to shape the rapid growing field of physical AI & GPU accelerated simulation by driving adoption of NVIDIA’s pioneering technologies with our key customers and partners. Join us in revolutionizing physical AI!
What you’ll be doing:
- Help our customers integrate and develop accelerated 3D simulation and AI pipelines for physical AI applications.
- Act as technical authority to guide customers on solving sophisticated technical challenges by implementing end-to-end solutions using NVIDIA products, platform SDK’s and libraries.
- Engage with clients to guide them developing solutions for industrial digital twins, to generate synthetic data for AI training, integrate generative AI workflows within their software, and enhance workflows applying NVIDIA’s Omniverse Kit SDK and Cosmos.
- Partner with Sales, NVIDIA Engineering, Product and other Solution Architect teams to drive NVIDIA full stack adoption. Develop a deep understanding of customer workflows and requirements, lead proof-of-concepts evaluations and provide internal feedback to drive continuous product improvements.
- Share domain expertise with the NVIDIA Solutions Architect community and stay updated on advancements in physical AI, generative AI, 3D simulation and computer graphics.
What we need to see:
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience.
- 12+ years of work experience in development for real time graphics applications, simulation, and/or AI.
- Strong programming skills in Python and a high-performance language such as C++ for efficient system development.
- Practical knowledge on one or more 3D workflows and tools (e.g., Unity, Unreal Engine, Blender) and 3D simulation frameworks (e.g., NVIDIA PhysX and Isaac SIM, Gazebo, MuJoCo, PyBullet, Drake).
- Excellent interpersonal skills to convey technical concepts to diverse audiences.
- Self-starter with passion for growth, learning, and multi-functional teamwork.
Ways to stand out from the crowd:
- Familiarity with NVIDIA Omniverse, Omniverse template applications like USD Composer, Isaac Sim or Isaac Lab and with relevant data formats like Pixar’s OpenUSD and URDF
- Experience with control and actuator modeling in simulation frameworks like MuJoCo for Sim2Real experiments.
- Knowledge of industrial workflows (eg layout planning, motion planning and navigation, control, localization & collision avoidance, computer vision, point cloud processing) and past exposure to robotics software frameworks like ROS/ROS2 is a plus.
- Knowledge of deep learning principles as they apply to robotics and familiarity with NVIDIA’s AI technologies like TensorRT, TAO or NeMo platforms.
- Possess a Master’s or PhD in Computer Science, Robotics, Engineering, or related field. Lead tech teams and guide projects.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD – 356,500 USD.
Senior Manager, Finance – Operations and Manufacturing
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 Finance Manager to support NVIDIA’s Operations and Manufacturing for its Data Center, Automotive, and Embedded businesses. As part of NVIDIA’s Finance organization, the overarching responsibilities will be to build and maintain a collaborative partnership with Operations and Finance leaders to strategically manage financial planning and analysis of product costs, inventory, and supply to provide reliable, relevant information. This is a critical position within the Finance organization that directly contributes to the product, requiring strong analytical skills with big data, as well as accuracy and attention to detail.
What you’ll be doing:
- Collaborate with Sales Finance, Corporate Finance, Business Operations, and Manufacturing teams in leading a business unit’s financial performance from the perspective of product costs, inventory, and supply management.
- Lead analysis and financial modeling of inventory costs, supply, and purchase commitments for quarterly and multi-year forecasts, as well as effective decision-making of manufacturing volumes and timing.
- Identify/support automation, and transform legacy processes to support business growth and product portfolio expansion.
- Develop performance measures for major cost drivers, including the financial impacts of new product roadmaps, partners, or other supply-related agreements, to provide insightful business information to improve our financial performance.
- Partner with Finance and other team members for all required activities related to the Company’s monthly and quarterly financial close processes and related earnings releases.
- Drive other relevant ad-hoc analyses of manufacturing or supply-related data for executive communication of business insight.
What we need to see:
- 10+ overall years of experience in finance within a global hardware technology company, supporting manufacturing operations and/or business units,
- 4+ years of leadership experience.
- Bachelor’s degree in Finance, Accounting or Economics (or equivalent experience). MBA and/or advanced Accounting or Finance a plus.
- General understanding of inventory manufacturing, supply chain, and operational flows and processes. Semiconductor experience is a plus.
- Advanced proficiency with Excel. Experience with SAP, Power BI, Tableau, or other finance applications or visualization tools is a plus.
- Detail-oriented with the highest regard for accuracy and completeness.
- Experience in redefining systems and processes, with the ability to influence at all levels of the company.
- Strong analytical and organizational skills in big data and processes that enable translation into business insights.
- Ability to develop and mentor a team to work collectively towards objectives and meet deadlines promptly.
Ways to stand out from the crowd:
- Business unit experience with emphasis on product costing and inventory management at a global semiconductor company.
- Advanced technology skills and experience with visualization tools a plus, SQL, Power BI, Tableau.
- Excellent communication and interpersonal skills, with demonstrated ability to build successful partnerships.
- Creative and innovative teammate with a positive approach and a focus on business solutions.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
