NVIDIA

Systems Engineer

• Drive rack-scale SW/FW architecture alignment across CSP engagements — including fabric management software, link health monitoring, GPU/NVSwitch error handling, SW/FW serviceability features (e.g., hot-plug support, component isolation, firmware-driven recovery), and multi-component firmware orchestration
• Drive technical work streams with CSP engineering teams on rack-scale system software — ensuring they deeply understand fabric management, NVSwitch behavior, error handling and recovery policies, health telemetry APIs, and SW/FW-controlled recovery operation
• Capture and synthesize CSP engineering feedback on rack-scale system software — health monitoring APIs, SW-driven serviceability workflows, firmware update orchestration, and error recovery behavior — champion that feedback into NVIDIA's architecture decisions
• Collaborate with multi-functional teams to ensure customer operational requirements are reflected in system software and firmware development
• Identify cross-CSP patterns in rack-scale SW/FW issues, error handling behavior, and system configuration practices — drive documentation, tooling, and test strategy improvements as a result
• Collaborate with execution teams on left-shift strategy — ensuring customer-side SW/FW integration work is identified early and completed ahead of hardware availability
• Make critical technical decisions on rack-scale system SW/FW tradeoffs and mitigate execution risks through early engagement with CSP engineering teams

Principal Software Engineer – Rack-Scale System Software

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 Engineer – Computer Vision, Autonomous Vehicles

Operations

• Evaluate and prioritize incoming requests to distribute NVIDIA documentation and collateral to external parties.
• Validate contracts, external party type, contact/account information, and document-level sharing permissions before any materials are released.
• Apply NVIDIA policies governing document access for customers, partners, and other external audiences.
• Advance ambiguous or exception-based requests to the appropriate cross-functional teams for review and approval.
• Fulfill approved requests accurately and in a timely manner while maintaining strong auditability.
• Maintain request records, approvals, rationale, and distribution history.
• Serve as the operational subject matter expert for the sharing process across internal collateral systems, contacts management, and partner portal workflows.
• Identify recurring request patterns, bottlenecks, manual steps, and policy gaps.

Partner Enablement Operations Specialist

Data Analyst

• Define, own, and drive the product strategy for analytics in the agentic datacenter, connecting agent workflows, text-to-SQL, semantic context, query execution, and intelligent workload routing
• Engage deeply with customers, partners, and open-source communities to discover underlying needs, owning the voice of the customer and incorporating insights into roadmaps and priorities
• Establish success metrics and requirements for agentic analytics workflows where latency, throughput, cost, correctness, and infrastructure utilization all matter
• Collaborate with Engineering, Research, DevRel, Field, and Enterprise teams to create agentic analytics architectures and reference blueprints
• Serve as the point person for presenting vision, opportunities, and progress, setting expectations and managing internal and external collaborators

Senior Product Manager – Agentic Data Analytics

Platform Engineer

• Ability to resolve sophisticated customer concerns and technical issues through meticulous research, reproduction, and solving problems for customers installing our products and supporting systems
• rapid debugging and response to user-reported issues via telephone, email or conference calls on the DGX Platform (hardware and software) stack including but not limited to resolving customer issues during installation, operation, maintenance or product application or interoperability with other vendors.
• ability to apply industry standard AI Tools to efficiently share debugging results, create internal/external knowledge base articles & analyze customer issues thereby helping to develop, re-define and document standard methodologies to provide to internal teams (Support/R&D) for support process and improvements.
• participate in multi-functional team meetings and giving feedback to engineering and marketing regarding product requirements, customer experience, support tools, etc.

Senior HPC Support Engineer – Compute and GPU Platform

Full-stack Engineer

• Design, develop, and execute tests and simulations for the features, as part of the SW releases working with a world-wide team.
• Execute tests in different scopes: regression, performance, functional, security; report the progress of testing and provide summary reports of testing activity.
• Develop and maintain networking simulations for the development and testing of NVIDIA NetQ capabilities.

Software Engineering Student

Executive Assistant

• Provide executive support to the extended leadership team as needed within the revenue leading organization
• Planning, organizing, and balancing multiple global calendars with appropriate attention to detail and confidentiality
• Coordinate all travel arrangements and itineraries
• Handling and balancing expense reports and purchase requisitions submissions
• Develop and manage meeting agendas, cadence activities, communications
• Manage cross-functional projects and track progress against milestones
• Analyse business data and prepare executive reports and insights
• Prioritize and manage content collection and contribution for presentations, meetings, and communications

Executive Assistant, EMEA

Solutions Engineer

• Primary responsibilities will include 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 – Infiniband, Networking, Ethernet

• 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

Technical Program Manager

• Engage with cross-company partners to plan programs and coordinate teams to meet key business objectives
• Guide engineering programs in all aspects of program management – planning, forecasting, documenting, scheduling, effective meetings, multi-faceted prioritization, management of dependencies, reporting, and effective handling of critical and blocking issues
• Develop and implement metrics for measuring program effectiveness and improvement areas, collect and analyze data in support of planning and data driven decisions
• Report on overall program status, providing insights and recommendations to senior management and drive organizational alignment and efficiency by coordinating with multi-functional leads and streamlining processes
• Work with multi-functional matrixed teams, guide teams designing for advanced, complex, competing and often conflicting customer requirements and moderate technical discussions to successful conclusions
• Act as liaison between developers and customers, between technical and non-technical audiences and cultivate a culture of continuous improvement, finding opportunities for process enhancements

Senior Technical Program Manager, ML Software

• Engage with cross-company partners to plan programs and coordinate teams to meet key business objectives
• Guide engineering programs in all aspects of program management – planning, forecasting, documenting, scheduling, effective meetings, multi-faceted prioritization, management of dependencies, reporting, and effective handling of critical and blocking issues
• Guide engineering teams in the use of agile methodologies
• Develop and implement metrics for measuring program effectiveness and improvement areas, collect and analyze data in support of planning and data driven decisions
• Report on overall program status, providing insights and recommendations to senior management
• Drive organizational alignment and efficiency by coordinating with multi-functional leads and streamlining processes
• Work with multi-functional matrixed teams
• Guide teams designing for advanced, complex, competing and often conflicting customer requirements
• Moderate technical discussions to successful conclusions
• Act as liaison between developers and customers, between technical and non-technical audiences

Senior Technical Program Manager, AI Software

Engineer

• Build and evolve AIConfigurator's core optimization engine for LLM serving, including configuration search, SLA-aware ranking, efficiency and latency estimation, and Pareto frontier analysis.
• Build production-quality Python/Rust APIs, CLIs, SDK surfaces, and web workflows that help users generate strong deployment configurations for NVIDIA GPU clusters.
• Develop configuration generation systems that emit backend-specific artifacts for Dynamo, Kubernetes, TensorRT-LLM, vLLM, and SGLang deployments.
• Collaborate with inference runtime, performance, benchmarking, and product groups to ensure simulated results correspond with actual deployment performance on H100, H200, B200, GB200, and upcoming NVIDIA platforms.
• Improve model, hardware, and backend support by integrating performance databases, profiling data, support matrices, and validation tools.
• Drive software quality through maintainable architecture, schema development, tests, documentation, and automation suitable for open-source and production users.
• Convert intricate inference ideas like prefill/decode disaggregation, tensor parallelism, pipeline parallelism, expert parallelism, batching, and KV cache behavior into dependable software abstractions.

Senior Inference Engineer, AIConfigurator

Mechanical Engineer

• Participate in innovative Processor design in deep submicron technologies.
• Work as part of a global circuits team to design innovative power delivery and power management solutions.
• You'll model and simulate analog and digital circuits and systems in a variety of environments with different degrees of abstraction and complexity.
• Model and simulate power delivery networks (PDN) from die level all the way to platform level.
• Perform detailed block-level and system-level simulations to ensure good reliability, performance, and stability of the designs.
• Be a mentor/technical lead for junior team members.

Senior Circuit Design Engineer – Power Modeling, Simulation

• Manage the complete custom layout process for SRAM bitcell arrays, memory periphery, test structures, and memory macros in advanced CMOS technologies.
• Develop and improve floorplans for SRAM and memory blocks, covering array layout, periphery positioning, power grid design, routing channels, and macro assembly.
• Carry out, debug, and complete DRC, LVS, ERC, antenna, and associated physical verification checks with tools such as Calibre, ICV, or similar workflows.
• Support EM/IR review, power integrity, density/fill, DFM, dummy insertion, layout-dependent effects, and other requirements for tapeout.
• Collaborate with circuit designers to convert schematics into layouts, ensuring matching, symmetry, shielding, parasitic targets, and reliability constraints are maintained.
• Collaborate with PnR and integration teams to resolve top-level DRC/LVS, pin access, boundary, routing, power-grid, and macro-integration issues.
• Implement and advance layout methodology, checklists, reusable practices, and quality standards for consistent memory IP delivery.
• Collaborate with foundry, CAD, and methodology teams on rule interpretation, deck behavior, waivers, and advanced-node process constraints.
• Review layouts, mentor junior engineers, and help raise layout quality and execution rigor across the team.

Senior SRAM Layout Design Engineer

LLM Engineer

• Define the resilience platform, own the product roadmap and delivery for specific platform features
• Collaborate with the open-source developer community — prioritizing GitHub issues, gathering feedback, supporting contributors, and channeling community signal back into the roadmap
• Collaborate with engineering on feature design, prioritization, execution, and architecture tradeoffs
• Align cross-functionally with other Product, Engineering, Product Marketing, and Field teams on requirements, roadmaps, messaging, and engagements