NVIDIA

Full-stack Engineer

• Working on backend and frontend design and development of web applications targeting VLSI design and modeling
• Collecting requirements and provide consultation to end users about their needs and use cases
• Analyzing performance bottlenecks
• Supporting and maintaining large scale data platform with high QoS
• Building infrastructure and microservices for various big-data scenarios

Senior Full-Stack Software Engineer – VLSI Tools

Systems Engineer

• Architect, design and deliver robust implementable solutions for complex supply chain requirements using SAP IBP Supply Planning, Demand Planning, Optimization and Fulfillment Techniques involving SAP IBP utilizing both order-series and time-series planning.
• Demonstrate process improvement techniques to streamline business process and architect solutions.
• Lead projects to implement new and improved existing functionalities that are already implemented at NVIDIA in IBP.
• Build prototypes and proof of concepts for business requirements and translate them into effective operational solutions.
• Apply industry-best practices for data analysis and share across the teams.
• Build business and product scenarios to help the BU improve NVIDIA's profitability and market share.
• Perform testing to support system implementations and upgrades, and drive system design analysis, testing, and training
• Collaborate with cross functional teams in business and IT to deliver comprehensive supply chain planning solutions, and Influence senior leadership in business to adopt scalable solutions and systems/tools.

Senior Business Systems Analyst, SAP IBP Planning

Research Scientist

• Research and develop advanced physics-based models and scalable simulation frameworks.
• Build physics-informed synthetic data generation pipelines that leverage quantum device models, noise channels, and Hamiltonian characterization to produce high-quality datasets.
• Develop detailed noise models of quantum hardware that capture device physics, decoherence, and drift behavior, enabling accurate performance prediction and parameter inference without full experimental overhead.
• Develop GPU-accelerated implementations to ensure the full simulation and modeling pipeline scales.
• Communicate research findings and collaborate with academic and industry partners to advance the field, while championing rapid innovation, technical depth, and creative problem solving.

Senior Quantum Applied Research Scientist, Physics Modeling

• Research and develop open AI models for quantum system calibration to advance the state of the art and empower the quantum community to build on shared foundations.
• Build physics-informed synthetic data generation pipelines that leverage quantum device models, noise channels, and Hamiltonian characterization to produce high-quality training data for upstream calibration and decoding model development.
• Develop surrogate models of quantum hardware that capture device physics and drift behavior, enabling rapid performance prediction and parameter inference without full experimental overhead.
• Architect performant real-time AI systems that jointly account for calibration state and decoding requirements, co-designing model latency, throughput, and update cadence to meet the demands of fault-tolerant feedback loops.
• Apply reinforcement learning and online learning methods to calibration policy optimization, enabling models that improve continuously from hardware feedback and generalize across device families and modalities.
• Develop GPU-accelerated implementations to ensure the full pipeline scales.
• Communicate research findings and collaborate with academic and industry partners to advance the field, while championing rapid innovation, technical depth, and creative problem solving.

Senior Quantum Applied Research Scientist, Calibration and Decoding

• Join the Developer Tools team as a senior software engineer to work on profiling tools within the growing Nsight family.
• Design and implement product features that would help make it possible and easy to collect, analyze, and visualize performance profiling data in cluster and cloud environments.
• Communicate across multiple teams to collect and understand the requirements, user needs, and expectations.
• Understand how the underlying hardware and software works, and use that knowledge to deliver valuable features to the users.
• Collaborate with team members across multiple time zones in a dynamic, high-energy work environment.
• Interact with internal and external users, help them get the maximum value out of our products, and deliver their feedback to the product team.

Senior Software Engineer, Developer Tools for Cloud

Solutions Engineer

• Support Business Development and Sales teams as part of a Team of 4, partnering with Industry Business leads, Account Managers, and Developer Relations managers to drive our developers’ ecosystem success.
• Work directly with developers and customers in a customer-facing setting.
• Support developers in adopting NVIDIA libraries and software frameworks as the foundation for modern AI and data platforms.
• Analyze application architectures and find opportunities for acceleration.
• Provide feedback and collaborate with engineering, product and research teams.
• Deliver trainings, hackathons and technical demonstrations on NVIDIA solutions and platforms.

Senior AI Solutions Architect

Technical Program Manager

• Collaborate with outstanding engineers and architects to build and deploy large scale GPU computing systems based on NVIDIA's reference supercomputing architectures
• Lead the integration of new AI clusters with datacenter facilities with demanding requirements on power, cooling, and instrumentation
• Coordinate design and fit-out of new datacenter builds, working with both internal engineering teams and external contractors
• Own and produce detailed documentation for the end-to-end process for datacenter fit-out and integration
• Communicate internally with engineering leadership to prioritize and address key issues essential to the success of our largest customers

Senior Datacenter Technical Program Manager – At-Scale AI Clusters

Computer Vision Engineer

• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.
• Foster collaborative partnerships with our researchers and engineers, transforming innovative research into robust, industrial-strength machine learning models.
• Taking approaches from initial evaluation and experimentation all the way to shipping.
• Defining and collecting training datasets.
• Building training pipelines and real-time inference run-times (PyTorch, TensorFlow, TensorRT, Python, C++).

Senior Deep Learning and Computer Vision Engineer – Autonomous Vehicles

Account Manager

• responsible for all aspects of demand creation, co-selling, forecasting, sales leadership, training, and education to end users, OEMs, and partners
• Grow revenue and market share for NVIDIA Data Center, Edge, and Cloud products across the USAF and USSF
• Be the key point of contact and relationship owner for USAF and USSF customers, program offices, and mission partners
• Build key accounts into strategic partners and drive sustained, long-term growth within these organizations
• Collaborate closely with OEMs, software providers, system integrators, and research partners to craft and implement go-to-market plans
• Champion the use of NVIDIA’s accelerated computing platforms in support of USAF and USSF missions

Senior Account Manager – DoD

DevOps Engineer

• Manage a team of Software and Site Reliability engineers, including program development, task planning and code reviews.
• Define team strategy and roadmap, and drive adoption of scalable SDLC practices, test infrastructure, and modern practices.
• Drive technical projects and provide leadership in an innovative and fast-paced environment.
• Be responsible for the overall planning, tracking and success of technical projects.
• Work closely with project and product management teams to ensure best-in-class product development.
• Contribute technically to the technical projects for DGX Cloud Computing Services.
• Interact with key internal stakeholders to provide operational and financial clarity on technical spend.
• Lead efforts related to executive reporting, dashboards, and operational CTO metrics focusing on continuous improvement and evolution to maximize decision making and executive visibility.

Director, Site Reliability and Software Engineering

• Guiding partners in their adoption of end-to-end Agentic AI solutions, using NVIDIA's compute, networking, and software stacks.
• Delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs.
• Collaborating with executives and engineering to solve complex problems and help bring NVIDIA's premiere technologies to life in the cloud and in the datacenter.
• Solving problems that nobody else has solved yet and being an instrumental part of that.

Solutions Architect

Artificial Intelligence

• Develop and extend C++ and Python simulators that model system-level network and compute traffic for agentic LLM workloads in datacenter environments
• Characterize real-world LLM serving workloads and distill them into representative simulator inputs
• Run simulations at scale and apply statistical techniques to post-process and interpret results
• Identify performance bottlenecks and translate findings into concrete architectural recommendations
• Collaborate with hardware, software, and research teams to influence the design of future AI systems

Systems Performance Engineer – Agentic AI Workloads

• Lead initiatives to transform IT Compute platform architecture to build new service offerings across On-Prem & Cloud.
• Define and implement metrics to measure the efficiency of compute platforms & services and drive efficiency.
• Collect and review system data for capacity and planning purposes, analyze capacity data and develop plans for appropriate level enterprise-wide systems, and coordinate with management personnel in implementing changes.
• Develop and maintain tools for collecting, analyzing, and visualizing data for reporting, alerting, monitoring.
• Collaborate with NVIDIA leadership, senior engineers, program managers, and product managers to develop compelling IT products and services that meet customer needs.

Senior Staff Software Engineer

• Work together with our partners and customers to identify, analyze, and resolve complex performance bottlenecks across interconnected GPU, CPU, and networking systems.
• Complete and maintain robust performance benchmarking suites to stress-test high-performance clusters and establish performance baselines.
• Apply industry-standard performance tools to monitor hardware performance counters and extract deep system telemetry.
• Deeply investigate system and software configurations to find and fix subtle discrepancies that impact peak performance.
• Partner closely with internal engineering units and outside collaborators and customers to collectively develop solutions and boost infrastructure performance.

Senior Solutions Architect, AI Cluster Performance, Telemetry

• Drive planning and execution of multidisciplinary programs for AI Enterprise Workstation Solutions
• Support external OEM System Partners through system integration and production readiness
• Collaborate with multi-functional teams for Hardware/Software integration
• Lead and improve product development and software release processes