NVIDIA

Architect

• Modeling of GPU architecture, baseboard components and other features
• Work in a matrixed environment, across the different modeling teams, to document, design, develop tools to analyze and simulate, validate and verify models
• Familiarize with different functional and performance simulation models across Nvidia and work through modeling features
• Develop tests, test plans and testing infrastructure for new architectures/ features
• Guide the improvement of the simulation platform and expand other resources to support future GPU architectures
• Develop or use AI to help with day-to-day tasks

Senior GPU Functional Modeling Architect

Engineer

• Design and develop new scheduling features and add-on services to improve GPU compute clusters across many dimensions, such as resource usage fairness, GPU occupancy, GPU waste, application resilience, application performance and power usage.
• Design and develop batch workload management and orchestration services
• Provide support to staff and end users to resolve batch scheduler issues
• Build and improve our ecosystem around GPU-accelerated computing
• Performance analysis and optimizations of deep learning workflows
• Develop large scale automation solutions
• Root cause analysis and suggest corrective action for problems large and small scales
• Finding and fixing problems before they occur

Senior GPU Scheduler Engineer

Frontend Engineer

• Design and implement enhancements to the CUDA C++ compiler driver and front-end, ensuring tight integration with industry-leading third-party compiler software
• Contribute to the CUDA C++ programming language specification and its evolution factoring in support for new GPU hardware capabilities
• Drive language conformance, front-end robustness, and compile-time improvements that benefit a wide range of users, from deep learning researchers to safety-critical software developers
• Provide engineering support for the compiler and deliver targeted changes for production customer releases
• Establish strong customer/partner relationships and trust through excellent execution and high-quality software development

Senior Compiler Engineer – Compute Front-End

Full-stack Engineer

• Design and develop innovative AI-driven web products to solve big data challenges in chip design
• Build high performance API's, data pipelines and backend services in a distributed systems environment
• Own technical strategy for broad and complex challenges
• Collaborate closely with product and engineering teams to translate high-level requirements into actionable deliverables
• Handle multiple tasks and adapt to changing priorities
• Be an engineering generalist

Senior Software Engineer, AI Web Products

AI Engineer

• Research and develop techniques to GPU-accelerate high-performance workloads at the intersection of AI and financial markets
• Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC workloads to ensure the best possible performance on modern CPU and GPU architectures
• Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community
• 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

AI Developer – Financial Sector, New College Grad

• Be responsible for creation of "state of the art" UVM based verification test benches and methodologies to verify complex IP's and Sub-systems.
• Work on System level verification using C/C++.
• Architect the testbenches and craft verification environment using UVM methodology.
• Define test plans, tests and verification infrastructure for modules, clusters and system.
• Build efficient and reusable bus functional models, monitors, checkers and scoreboards.
• Implement functional coverage and own verification closure.
• Work with architects, designers, FPGA and post-silicon teams to ensure that your unit is robust.

Verification Engineer – Hardware

Senior Verification Engineer – Hardware

Mechanical Engineer

• Responsible for implementing BOOT, functional safety and power management architecture
• Make architectural trade-offs based on feature/performance/power requirements
• Analyze system implications, implement RTL, drive verification
• Close timing and support silicon validation

ASIC Design Engineer, Functional Safety, Power Management

• Be responsible for making architectural trade-offs based on feature/performance/power requirements
• Analyze system implications, come up with the micro-architecture, implement RTL, drive the verification, close timing, and support silicon validation
• Own micro-architecture and RTL development of design modules
• Micro-architect features to meet performance, power and area requirements
• Work with HW architects to define critical features
• Work with verification teams to verify the correctness of implemented features
• Partner with timing, VLSI and Physical design teams to ensure design meets timing, interface requirements and is routable.

ASIC Design Engineer, High Speed IO

• Design, develop, and operate distributed systems that manage data, compute, and networking for large-scale AI workloads.
• Build software and automation to orchestrate workloads across thousands of GPUs and petabytes of storage in multi-region clusters.
• Collaborate with AI/ML research teams to understand their requirements and translate them into scalable, high-performance solutions.
• Drive improvements in system reliability, performance, and observability to meet exascale standards.
• Partner with security, networking, and platform teams to ensure that MARS infrastructure meets the highest standards of robustness and compliance.
• Participate in design reviews, contribute to system architecture discussions, and influence the evolution of NVIDIA’s AI infrastructure stack.
• Stay current with advances in distributed systems, large-scale computing, and AI frameworks to help shape the future direction of MARS.

Senior Software Engineer – Storage

Artificial Intelligence

• Lead a team developing next generation system designs and integrating new compute, networking, storage, and software systems
• Work closely with teams throughout the company on the cluster architecture, at-scale bringup, and integration of new technologies and products
• Collaborate closely with partners and customers to support deployment and validation of clusters based on NVIDIA reference architectures

Manager, Next-Gen AI Cluster Validation

• Collaborate closely with our AI/ML researchers to make their ML models more efficient leading to significant productivity improvements and cost savings
• Build tools, frameworks, and apply ML techniques to detect & analyze efficiency bottlenecks and deliver productivity improvements for our researchers
• Work with researchers working on a variety of innovative ML workloads across Robotics, Autonomous vehicles, LLM’s, Videos and more
• Collaborate across the engineering organizations to deliver efficiency in our usage of hardware, software, and infrastructure
• Proactively monitor fleet wide utilization patterns, analyze existing inefficiency patterns, or discover new patterns, and deliver scalable solutions to solve them
• Keep up to date with the most recent developments in AI/ML technologies, frameworks, and successful strategies, and advocate for their integration within the organization.

Senior AI Performance and Efficiency Engineer

• Lead a team developing next generation system architectures for future HPC and AI clusters using the latest NVIDIA technologies
• Build full-stack systems crafted for high-performance machine learning applications
• Author reference architectures which influence future supercomputing systems for AI and HPC both inside and outside NVIDIA
• Collaborate with teams throughout the company on the cluster architecture, at-scale bringup, and integration of new technologies and products

Manager – Next-Generation AI Cluster Architecture

Digital Marketing

• Develop multi-stage digital journeys tailored for developers and IT decision-makers.
• Support adoption of SDKs, frameworks, and containers.
• Translate business priorities into cohesive digital strategies.
• Partner with product and campaign teams for high-value technical content.
• Collaborate across teams for optimized content visibility.

Integrated Digital Marketing Manager – Developer and Enterprise

Systems Engineer

• Own the data platform that is used to collect and analyze performance data that is critical to understanding hardware, driver, and software performance.
• Discover compelling data-driven stories that will lead to improvements in our performance analysis process.
• Build and develop intuitive, high-performance data visualization tools to display AI system efficiency, utilization, and bottlenecks across large-scale GPU clusters.
• Build automated analytics pipelines to transform and visualize performance data into actionable insights.
• Collaborate with software engineers, GPU architects, and AI researchers to build visual interfaces that reveal system-level performance patterns and opportunities for optimization.
• Establish visualization guidelines and approaches to interpret complex numerical and profiling data for diverse technical audiences.
• Drive innovation in user experience for AI performance dashboards through user research, prototyping, and iteration.