NVIDIA

Full-stack Engineer

• Build real-time, high-load data collection services
• Drive architectural decisions for shared infrastructure components: metrics, distributed tracing, and configuration management
• Collaborate with multi-functional teams on integration points and API contracts
• Ensure operational perfection: monitoring, and performance optimization

Senior Software Engineer, Real-Time Data Platform

Technical Program Manager

• Partnering with IT, Marketplace, SAP Ops, and Platform teams to ensure store transactions are accurately processed into SAP so Tax and Finance can reconcile sales, refunds, and revenue recognition.
• Assisting operational teams with product launch workflows, including prioritizing inputs for SKU setup, coordinating final pricing approvals, and ensuring timely SAP price list and configuration updates (orders, inventory, and hub settings).
• Coordinating marketplace backend optimization efforts by aligning collaborators, clarifying requirements, and driving progress on process improvements and tooling enhancements.
• Assisting operations teams in confirming the correct product configuration and data consistency across SAP, the NVIDIA Marketplace, and regional hubs, including tracking changes and facilitating communication.
• Supporting revenue and payout reconciliation cycles by orchestrating reviews of SAP vs. payout data across Store Ops and Finance teams, and tracking follow-ups through quarter-end close.

Solutions Engineer

• Providing Ethernet and routing expertise to customers during project delivery to design, architect and test Ethernet networking AI solutions
• Work on multi-functional teams to provide Ethernet network expertise to server infrastructure builds, accelerated computing workloads and GPU enabled AI applications
• Crafting and evaluating DevOps automation scripts for network operations, crafting network architectures, and developing switch fabric configurations.
• Implementing tasks related to network configuration and validation for data centers.
• Create Methods of Procedure and deployment documents
• Validate network architectures and configs in the lab
• Interact with customers to obtain required information to design and build an optimal solution
• Use software tools to validate and monitor network performance

Senior Solutions Architect, Ethernet Networking

Engineer

• Develop and productize NVIDIA’s autonomous driving solutions
• Work on building world-class 3D obstacle perception solutions based on multi-sensor fusion
• Applied research and development of innovative deep learning and multi-sensor fusion algorithms
• Identify and analyze the strength and weakness of developed solutions using large scale benchmark data
• Productize the developed solutions by meeting product requirements for safety, latency, and SW robustness
• Drive data-driven development by working with large data collection and labeling teams

Parking Perception DNN Engineer

• Building AI/HPC infrastructure for new and existing customers.
• Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting.
• Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement.
• Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.
• Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

Senior Solutions Architect – Networking, Ethernet

Mechanical Engineer

• Design innovative analog/mixed-signal circuits for power delivery solutions in deep submicron technologies.
• Responsible for transistor-level and system-level design of voltage regulation solutions.
• Drive the design and physical implementation of analog/mixed-signal circuit IPs.
• Perform detailed analysis to ensure good reliability and performance of the design.
• Collaborate with multi-functional teams to understand challenges and benefits of integrated power delivery solutions.
• Develop prototypes of patentable ideas on test chips and drive them to be deployed across the entire line of products.

Senior Circuit Design Engineer – Power Delivery

• Play a pivotal role in defining of a modular, scalable platform to seamlessly bridge training and deployment workflows—enabling tight integration of deployment tooling with training frameworks such as Megatron and Nemo
• Leverage and build upon the torch 2.0 ecosystem (TorchDynamo, torch.export, torch.compile, etc...) to analyze and extract standardized model graph representation from arbitrary torch models for our automated deployment solution
• Develop support for inference optimization techniques such as speculative decoding and LoRA
• Collaborate with teams across NVIDIA to use performant kernel implementations within the automated deployment solution
• Analyze and profile GPU kernel-level performance to identify hardware and software optimization opportunities
• Continuously innovate on the inference performance to ensure NVIDIA's inference software solutions (TRT, TRT-LLM, TRT Model Optimizer) can maintain and increase its leadership in the market.

Senior Deep Learning Software Engineer

Product Manager

• Crafting industry-leading enterprise software for the AI industry
• Work with Program Management, Product Architects, Engineering, and other teams to define the vision for NVIDIA products
• Writing product requirements and features
• Collecting, analyzing and processing customer feedback
• Prioritizing features with product stakeholders
• Developing and managing a feature backlog

Senior Product Manager

• Evaluating, explaining, and improving deep learning workloads for both training and inference, contributing to advancements in throughput, latency, and efficiency across NVIDIA GPU platforms.
• Collaborating across NVIDIA with researchers, engineers, and hardware specialists to recognize bottlenecks and achieve performance improvements.
• Developing production-quality software across the deep learning platform stack, from frameworks to deployment.
• Building automation and diagnostics that enable reproducible, scalable, and backend-agnostic performance improvements.

Deep Learning Algorithm Engineer, New College Grad

• Architecting the clock domain to satisfy functional, physical and testing design requirements
• Engage with multiple teams and design the GPU or CPU clocks to satisfy architectural/design/physical constraints
• Improve Power, Performance, and Area (PPA) of innovative NVIDIA chips
• Collaborate with Physical design and timing team to evaluate Clocking concerns and develop solutions
• Get involved in end-to-end cycle of ASIC execution starting from micro-architecture to Silicon bringup

ASIC Clocks Design Engineer, New College Grad

• 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

• Drive the software end-to-end architecture for NVIDIA's rack-scale products
• Maintain deep understanding of the product portfolio and roadmap; translate forward-looking plans into clear, formal software requirements that anchor execution across the organization.
• Ensure high quality & reliable software; serving as a trusted architectural partner to teams requiring guidance or oversight.
• Work directly with major customers to understand their requirements and work to align their roadmap with NVIDIA’s roadmap.
• Using strong communication skills, present the team vision to senior NVIDIA and external leaders.
• Provide technical leadership and career mentorship to the team
• Make key technical decisions even when faced with ambiguity

Director, Rack Scale Software Architecture

• Define and implement tools and methodologies for efficient data generation from post layout netlists to feed into data movement power analytical model.
• Develop tools and infrastructure to sanitize each metric in the model to achieve high correlation accuracy.
• Define and implement tools and methodologies for efficient integration of power models with performance tools.
• Identify runtime and memory limitation of existing flows and tools to speedup model delivery process.
• Mine data from pre- and post-silicon performance runs to find important data paths and bottlenecks.
• Give feedback to design teams and improve power efficiency.
• Work with floorplan, performance, verification and emulation methodology and infrastructure development teams to integrate data movement power models.
• Experiment with various ML techniques to answer what-if design questions and set proper power/energy targets for next generation chips.
• Enable efficient storage and retrieval of data from database.
• Enable easy visualization of data using platforms such as PowerBI, OpenSearch.

Senior Power Methodology and Modeling Engineer

• Collaborating with solutions architects, engineering or product teams
• Developing skills relevant to AI Factory deployments
• Developing proof of concept projects with NVIDIA technologies

Solutions Architect Intern

Marketing

• Develop and implement the strategic marketing plan and go-to-market strategies for NVIDIA consumer products within DACH and Benelux
• Work closely with internal and external partners to build quarterly marketing plans that support our consumer business units including GeForce Desktop and Laptop, SHIELD, G-Sync and GeForce Now
• Develop extraordinary integrated digital marketing campaigns that include advertising, promotions, social, community and PR/influencer activities that raise awareness of NVIDIA products and technologies within the region and drive consumers through the sales funnel
• Align your regional marketing team with other internal partners, including the sales teams and marketing services teams to deliver integrated marketing plans that meet NVIDIA corporate campaign objectives
• Lead the regional marketing budgets and quarterly budget planning, execution and reporting process within the region
• Lead, encourage and support the Northern Europe consumer regional marketing team including talented PR or equivalent experience, Community & Social, Brand and Partner Marketing Managers
• Define and run the regional channel marketing strategy including co-marketing with OEMs, System Builders, Retailers and Etailers including Marketing Development Fund programs for key partners
• Analyse and report on local market trends, opportunities for growth and competitive threats
• Lead and develop marketing relationships with key partners within the NVIDIA PC gaming ecosystem including games publishers and partners that bring NVIDIA technologies to market