NVIDIA

Machine Learning Engineer

• Design, build, and maintain Dynamo integrations for open source frameworks vLLM, SGLang, and TRTLLM
• Partner with open source communities to improve latency, throughput, reliability, and efficiency
• Showcase NVIDIA token/watt leadership on public and private benchmarks
• Find and remove bottlenecks across runtimes, kernels, networking, routing, and orchestration
• Develop inference optimizations for scheduling, disaggregation, KV caching, and autoscaling
• Collaborate across research, software, systems, and hardware teams
• Engage with the broader ecosystem and external partners to advance AI inference deployment

Senior Deep Learning Algorithm Engineer

Support Engineer

• Provide Tier 3 support for InfiniBand and Ethernet fabrics in large AI/HPC and storage clusters
• Install, support, and resolve complex technical issues in demanding data center, AI, storage, and HPC environments
• Troubleshoot end-to-end InfiniBand fabrics, including subnet management, routing topology, and congestion control
• Develop and present comprehensive technical solutions to customer problems
• Manage complex fabric installation projects
• Report problems, replicate issues, and manage resolutions
• Respond to customer technical inquiries
• Conduct site visits and conference calls with customers and partners
• Develop and refine internal processes to improve support efficiency and productivity
• Collaborate with Engineering, Marketing, and Support teams on complex technical issues
• Support NVIDIA's AI infrastructure, which powers global intelligence and transforms industries

Senior Technical Support Engineer, Network

Account Manager

• Design, build and execute the revenue strategy within the healthcare and life sciences ecosystem
• Collaborate closely with product teams to develop and package healthcare-specific solutions
• Develop partnerships with pharma, biotech and life science organizations, defining mutual performance objectives, targets, and breakthroughs
• Lead and support sales execution in partnership with regional sales teams
• Discover, develop and nurture key customer relationships and Light House Accounts
• Engage, enable, and energize channel sales teams, including global system integrators and public cloud service providers, to deliver joint go-to-market initiatives
• Support sales-critical issues, partner/channel conflicts, and related business issues
• Drive NVIDIA revenue growth with global pharma and biotech companies
• Build healthcare-specific solutions based on NVIDIA hardware and software stacks with ISV and partner ecosystem collaboration
• Establish NVIDIA’s leadership in the healthcare and life sciences segment and execute plans for revenue and pipeline growth
• Collaborate with senior business development, product, sales, and cross-functional teams to drive alignment and build pipeline

Enterprise Sales Account Manager – HCLS, DACH

Full-stack Engineer

• Own HSIO IP unit-level verification for automotive chips and systems
• Develop UVM-based verification test benches and methodologies
• Verify in-house ARM architecture-based distributed fabric for transporting control, sidebands, and data
• Architect testbenches and craft verification environments using SystemVerilog and UVM
• Define test plans, tests, and verification infrastructure for modules, clusters, and systems
• Build efficient and reusable bus functional models, monitors, checkers, and scoreboards
• Implement functional coverage and coordinate verification closure for the unit
• Collaborate with architects, designers, FPGA, and post-silicon teams to ensure unit robustness

Senior Verification Engineer – ARM Fabric Unit Level

Solutions Engineer

• Own and maintain Continuous Integration pipelines
• Monitor, complete, and fix daily and nightly CI flows for Lint, Synthesis, Equivalence Checking, and Simulation
• Build, develop, and maintain automation scripts to integrate EDA tools into automated build pipelines
• Maintain multi-IP Perforce branch/stream strategies and workspace specifications
• Complete hardware build drops and manage release labels/tags in Perforce Helix Core
• Support RTL and verification engineers by debugging flow crashes, bottlenecks, environment setups, and CI failure reports
• Implement automated check-in and change-list triggers for sanity checks, linting, and style enforcement
• Monitor LSF compute-farm resources and storage usage to reduce pipeline runtime and improve execution efficiency

Front-End Integration Engineer

Mechanical Engineer

• Join the accelerators IP group in Beer-Sheva
• Work on RISC-V processor IP verification for chip blocks according to specifications
• Contribute to chip development, including verification and design
• Work under challenging constraints with focus on power, area, and performance
• Collaborate closely with Firmware and other groups around the globe
• Help design and verify high-speed communication devices and innovative chips

Chip Design Engineer

Product Manager

• Lead product management for NVIDIA Enterprise Reference Architectures and the Enterprise AI Factory program
• Translate strategy and customer needs into product requirements, priorities, roadmaps, and release plans
• Guide development and publication of reference architecture documentation, deployment guides, solution overviews, and executive-level materials
• Collaborate with OEM partners and teams across architecture, engineering, storage, software, technical marketing, product marketing, and campaigns
• Capture requirements, evaluate tradeoffs, and deliver validated reference architectures through a predictable release process
• Help OEM partners adopt NVIDIA Reference Architectures through design endorsement
• Support partners with system bring-up, technical reviews, and expansion across key cluster configurations
• Develop and manage the Enterprise Reference Architecture configuration tool
• Improve solution sizing accuracy and consistency for sellers, account teams, and partners
• Equip worldwide field and OEM sales teams with software and solution roadmaps, presentations, and technical stories
• Build program awareness, strengthen field confidence, and support customer adoption
• Define success metrics and use customer, partner, and field feedback to guide priorities and improvements

Senior Product Manager – Enterprise Reference Architecture

Manager

• Drive growth in NVIDIA-managed Cisco EMEA channel business through partner development, enablement, pipeline acceleration, and strategic business initiatives
• Build and complete joint business growth plans with Cisco partner networks
• Develop and scale enablement programs for Cisco channel teams and partners to position, sell, and attach NVIDIA platforms, solutions, and technologies
• Identify growth opportunities, accelerate pipeline creation, and improve partner engagement across EMEA
• Implement regional programs connecting Cisco sellers, channel partners, distributors, and NVIDIA teams
• Support go-to-market activities that increase awareness, demand generation, and sales readiness for NVIDIA solutions
• Engage partner sales and technical teams to improve understanding of NVIDIA hardware, software, AI, accelerated computing, and datacentre solutions

Channel Development Manager

AI Engineer

• Define how storage for AI clusters should look like
• Research and analyze AI storage workloads
• Develop proof-of-concept ways to optimize AI storage workloads
• Design the storage software stack for AI, including APIs and offloads
• Lead hands-on proofs of concept
• Drive hardware features for next-generation DPUs and NICs
• Work closely with hardware architects, software architects, external customers, and partners
• Define programming interfaces, protocols, and management for storage systems

Senior AI Storage Software Architect

Business Development Rep

• Drive account strategy, senior leadership involvement, and business results for a portfolio of Global Public Sector ISVs and ecosystem collaborators including System Integrators (SIs), Global System Integrators (GSIs), OEMs, and Sophisticated Technology Partners.
• Foster meaningful interactions with C-level executives, product leaders, architects, developers, data scientists, sales leaders, government-industry leaders, systems integrators, and public-sector decision-makers.
• Speed up partner uptake of NVIDIA tools, SDKs, libraries, frameworks, models, blueprints, reference architectures, and AI acceleration technologies on ISV platforms and packaged solutions.
• Adapt NVIDIA platform features into tailored partner solutions for public safety, traffic and mobility, smart infrastructure, digital government, records and case management, computer vision, conversational AI and agentic systems.
• Develop collaborative go-to-market strategies with ISVs, SIs, GSIs, OEMs, and ATPs alongside field sales teams, and establish repeatable co-sell processes.
• Guide pilots, proofs of value, software validation, marketplace readiness, licensing, deployment architecture, and production transition while maintaining executive-level access to risk and progress.
• Identify trends in the ISV portfolio and transform effective integrations into reusable solution plays that can be expanded across countries, agencies, and Global Public Sector segments.

Senior Business Development Manager – State and Local Government

• Architecting the clock domain to satisfy functional, physical and testing design requirements
• Engage with multiple teams and design the GPU or CPU clocks
• Improve Power, Performance, and Area (PPA) of NVIDIA chips
• Collaborate with Physical design and timing team to evaluate Clocking concerns
• Deliver clock RTL information to GPU, CPU and SOC verification team
• Get involved in end-to-end cycle of ASIC execution

Senior ASIC Design Engineer – Clocks IP

• Architect Agentic Systems: Lead the design and implementation of sophisticated coding agents and agentic platforms capable of multi-step reasoning, self-correction, and autonomous code generation.
• Scale Distributed Systems: Build and maintain high-performance, large-scale production systems that handle the compute-intensive nature of agentic workflows and AI evaluation.
• Develop Evaluation Frameworks: Create and implement rigorous AI evaluation methodologies to measure the accuracy, safety, and efficiency of generated code and agentic logic.
• Optimize for Performance: Collaborate with hardware and software teams to ensure agent-generated code and the underlying platforms are optimized for the latest NVIDIA GPU architectures.
• Establish Engineering Standards: Drive best practices for code quality, testing, and deployment within the agentic AI ecosystem to ensure reliable, production-grade output.

Senior Software Engineer, Agentic AI

Architect

• Driving development of architecture and micro-architecture to improve the state-of-the-art in memory systems optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.
• Performance modeling and simulation of features to improve memory system performance and efficiency.
• Implementing and maintaining detailed and high-level performance models.
• Analyzing benchmarks, application workloads, and performance simulation results to identify tradeoffs in areas of micro-architectural optimizations.
• Debugging performance and functional issues with high-level models, RTL simulation, and silicon.

Senior Memory System Architect

• Engage with customers in academia and industry to understand their technical environment & challenges, design tailored NVIDIA-powered solutions that address their needs and demonstrate value , and gain hands-on field experience through customer visits and on-site engagements across EMEA.
• Be the catalyst driving the adoption and scaling of cutting-edge AI solutions by delivering hands-on workshops, demonstrations, and training sessions using NVIDIA hardware and software , empowering users to become NVIDIA champions.
• Take ownership of proof-of-concept implementations that showcase NVIDIA's capabilities in real customer environments, driving product adoption through technical evaluation, documentation, and handoff into production IT infrastructures.
• Collaborate with Sales Account Managers ; Developer Relations Managers and Customers as a trusted technical advisor, helping large enterprises understand the value of NVIDIA and painting the vision for how they can successfully integrate and deploy our solutions , and securing design wins.
• Identify gaps between customer needs and NVIDIA's current offerings, propose and develop prototypical solutions, and communicate requirements directly to NVIDIA Engineering , turning front-line field insights into product improvements that shape our roadmap.

Solutions Architect – Graduate Program

• Thoroughly understand networking solutions across performance-related aspects.
• Develop a C++ simulation model for architectural options.
• Collaborate and lead technical solutions within architecture and hardware teams.
• Analyze communication patterns of key DL, GAI, inference, and training applications.
• Explore innovative ideas to improve chip systems performance.