NVIDIA

Architect

• Driving Performance analysis of current and next generation Cloud Gaming Hardware and finding bottlenecks
• Improving Gaming performance by driving optimizations at different levels of the Software stack including but not limited to Hypervisor, Driver and Firmware
• Influencing future system design
• Engaging with ODM and driving design reviews
• Enhancing Performance analysis tools and simulators

Platform Performance Architect

• Work with RAS Architects to develop architecture and methods to detect faults
• Work with software, design verification and silicon validation teams to develop tests
• Assist in Failure Analysis to debug failing parts in the field
• Create Hardware specifications, testplans, and architectural models in System C
• Planning and Executing Architectural validation plans
• Post-Silicon production support with silicon debug and publishing of customer documentation
• Follow Industry standards and best-practices related to RAS

Senior SoC Architect, RAS Analysis and Diagnostics

Graphics Designer

• Teaming up with creative directors, art directors, graphic designers, copywriters, and account managers designing presentations and other assets using provided templates, renderings, photography, illustrations, and icons that best tell the story.
• Collaborating at times with our top executives, you’ll help us create amazing keynotes and campaigns for our most important communications in the areas of Artificial Intelligence, Self-Driving Cars, Robotics, Gaming, and more.
• From campaigns and product launches to events, we build it all in-house with our internal creative team.

Presentation Graphic Designer

Mechanical Engineer

• Build thermal solutions for engineering characterization and validation of next-gen GPU/SOC products, ensuring flawless delivery from concept to lab.
• Drive end-to-end development and deployment of thermal solutions, collaborating with internal teams and external vendors on build requirements, prototype evaluation, test system integration, and software automation.
• Improve thermal design processes by incorporating feedback and findings, developing workflow and maintaining our world-class standards.
• Work closely with system architects, chip and board designers, and software/firmware engineers in a dynamic and high-energy environment to bring industry-defining products to market.
• Apply AI-enabled approaches and AI tools to accelerate design iteration, test planning, and characterization/validation triage (e.g., requirements/spec summarization, experiment prioritization, log/telemetry summarization, anomaly/outlier detection), improving cycle time, coverage, and traceability while validating outputs against physics, specs, and lab measurements.
• Partner with AI/tooling teams as the thermal domain SME to define use-cases, success criteria, and evaluation methods; provide feedback to improve tool reliability and usability.

Senior Thermal Solutions Design Engineer

Full-stack Engineer

• Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems
• Design and implement new communication technologies to accelerate AI and HPC workloads
• Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects
• Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations
• Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs)

Senior Software Architect – Deep Learning, HPC Communications

Solutions Engineer

• Evangelize NVIDIA CPU platforms, including Grace, Vera, and future generations, as well as LPU-based systems and LPX-class platforms, with a strong focus on AI software stacks and workload efficiency.
• Help customers design and optimize AI workloads across CPU, GPU, and LPU, improving latency, throughput, utilization, and overall cost efficiency.
• Analyze and tune LLM and generative AI pipelines across serving, runtime, memory, I/O, batching, scheduling, and orchestration layers.
• Build proof-of-concepts, reference architectures, and technical guidance in partnership with Engineering, Product, and Sales teams.
• Establish trusted technical relationships with customer architects, infrastructure teams, and senior leaders, becoming a strategic advisor for heterogeneous AI system design.

Solutions Architect – CPU, LPU

Technical Program Manager

• Hands on driving software programs and processes.
• Leading multi-functional team members in a matrix organization to deliver projects on time.
• Leading projects in both Waterfall and Agile methodologies.
• Authoritatively presenting project status to multi-functional teams as well as executive management.
• Working independently, take-charge and influence with minimal mentorship.
• Working with global partners across multiple time zones, geographies, and diverse technical fields to define work you're doing, report on status, and deliver projects to expectations.
• Influencing other teams by creating an efficient/accountable development environment through process development and process improvement.
• Observing and following defined processes for escalation if the execution of planned work product tasks is not on track.
• Thinking strategically and tactically. Someone who can distill sophisticated projects down to manageable tasks and landmarks and optimally disseminate them to the multi-functional teams.

Senior Software Technical Program Manager, DL

• Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers.
• Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations.
• Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning/deep learning models to ensure the best performance on current- and next-generation GPU architectures.
• Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues to drive success using NVIDIA technology.
• Facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction.
• Build collateral (notebooks/ blogs) applied to Finance industry use-cases such as ML/DL, recommender systems, GNN, monte-carlo simulations, Quantitative Finance, etc. by working closely with customers.

Senior Solutions Architect, Financial Services – Banking

Program Manager

• Capture program requirements from NVIDIA Commercial customers, team members to create proposals and agreements required to complete projects for HPC, Data Center or Cloud-based Deployments.
• Prioritize and schedule projects; track and report project delivery; and communicate results to keep program aligned to strategy and mitigate risk.
• Implement the plan you craft by: scoping the project, identifying and assembling the core support team, formally kicking off the project with customers, developing a joint project timeline, supporting the project and account teams by providing technical collateral/tools, leading engineering design reviews, ensuring the implementation of any customer-required features, driving resolution of any blocking issues/bugs, and ensuring timely customer acceptance and production deployment.
• Coordinate and lead Program discussions and clearly and accurately communicate requirements, issue status to the customer and internal (including executive) teams.
• Work closely with engineering, operations, quality, product management, and sales teams to resolve technical and logistical issues, set accurate expectations and keep the scope of the projects on a track to successful execution.
• Define the strategy and tactics for efficiently implementing GPU-based product solutions, and integration of these solutions, from evaluation/proof-of-concept to design/development/qualification/validation, through customer acceptance for a wide variety of NVIDIA customers.
• Travel up to 10%

Principal Program Manager, PMO Cloud Data Center

• Establish groundbreaking performance benchmarking methodologies and analysis workflows and identify performance issues and opportunities for NVIDIA’s inference ecosystem (e.g. TensorRT/TensorRT-EdgeLLM/Torch-TensorRT)
• Contribute features and code to NVIDIA/OSS inference frameworks including but not limited to TensorRT/TensorRT-EdgeLLM/Torch-TensorRT.
• Develop new model pipelines for NVIDIA’s inference ecosystem with optimized performance including but not limited to areas like quantization, scheduling, memory management, and distributed inference to set the gold standard for Gen AI performance.
• Work with cross-collaborative teams inside and outside of NVIDIA across generative AI, automotive, robotics, image understanding, and speech understanding to set directions and develop innovative inference solutions.
• Scale performance of deep learning models across different architectures and types of NVIDIA accelerators.

Deep Learning Software Engineer, TensorRT Performance

Product Manager

• Define and drive the product strategy for on-prem AI Factory solutions, delivered through our ecosystem of ISV and OEM partners.
• Architect and design differentiated, full-stack solutions by defining how our software is integrated into partner software offerings and hardware platforms.
• Engage deeply with strategic partners, including leading enterprise software vendors (ISVs) and major server manufacturers (OEMs), to align on joint roadmaps and go-to-market priorities.
• Develop and maintain clear reference architectures that serve as the foundation for partners to efficiently build, certify, and ship powered enterprise solutions.
• Guide the end-to-end hardware and software lifecycle for certified partner solutions, ensuring alignment between our roadmap and partner product launches.
• Create and execute strategies to drive the adoption and activation of our software components through the partner ecosystem.

Product Manager, AI Partner Solutions, OEM Ecosystem

• Use design abilities, coding expertise, and creativity to deliver the best compute platform in the world
• Craft elegant solutions to exciting problems
• Shape the future direction of CUDA by collaborating with peers across NVIDIA
• Architect and implement new features
• Coordinate development efforts across multiple teams
• Help define forward-looking improvements to the CUDA APIs and programming model
• Write effective, maintainable, and well-tested code
• Focus on developing code targeting Microsoft Windows OS

Senior System Software Engineer, CUDA Driver for Windows

• Performance optimization, analysis, and tuning of LLM, VLM and GenAI models for DL inference, serving and deployment in NVIDIA/OSS LLM frameworks
• Scale performance of LLM models across different architectures and types of NVIDIA accelerators
• Scale performance for max throughput, minimum latency and throughput under latency constraints
• Contribute features and code to NVIDIA/OSS LLM frameworks, inference benchmarking frameworks, TensorRT, and Triton
• Work with cross-collaborative teams across generative AI, automotive, image understanding, and speech understanding to develop innovative solutions

Deep Learning Software Engineer, LLM Performance

Account Manager

• Responsible for all aspects of strategy creation and implementation, forecasting, sales account management, training and education to a select list of AI Native customers
• Be the key point of contact and relationship owner for a defined set of customers
• Build key accounts into strategic partners, and drive sustaining revenue, market share growth and product footprint
• Work closely with partners, OEMs, and ecosystem partners to build and implement go-to-market plans to accelerate growth and adoption of the enterprise product family, as well as building winning capabilities and leading change
• Contributing to the long-term success of US Enterprise by being a collaborative leader amongst your peers
• Consistently striving to improve and reinvent yourself
• Evangelize the use of NVIDIA's platform, products and technologies to your customers and partners

Senior Account Manager, Hyperscale, AI Natives

• Assisting field business development in guiding the customer build/extend their GPU infrastructures for AI.
• Help customers build their large-scale projects, especially Large Language Model (LLM) projects.
• Engage with customers to perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems.
• This includes support in optimization of both training and inference pipelines.
• Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers.
• Enable development and growth of product features through customer feedback and proof-of-concept evaluations.
• Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures.