NVIDIA

Cloud Engineer

• Design, build and implement SDKs and CLIs to interact with Cloud GPU Services
• Engage with partners, backend engineers and cross-functional teams around the globe to define requirements and implement solutions and improvements of new/existing products
• Help drive the underlying technology stack and the implementation methodology
• Ensure high-quality code through unit testing and integration testing
• Drive performance tuning, usability improvements and test automation
• Support, maintain and document software functionality

Senior Cloud Software Engineer

Systems Engineer

• develop open source software to serve inference of trained AI models running on GPUs
• contribute to the development of disaggregated serving for Dynamo-supported inference engines (vLLM, SGLang, TRT-LLM) and expand these capabilities to support agentic inference workloads
• innovate in inference-state management for long-running agents
• build and evolve Dynamo’s distributed inference frontend across vLLM, SGLang, and TensorRT-LLM
• balance a variety of objectives: build robust, scalable, high performance software components to support our distributed inference workloads

Senior System Software Engineer, Agentic Inference - Dynamo

Infrastructure Engineer

• Build and develop end-to-end performance verification infrastructure.
• Build scalable data pipelines to surface performance metrics from simulation, emulation, and silicon environments.
• Coordinate with GPU architects to craft infrastructure for performance verification of upcoming architectures.
• Work closely with HW teams to automate and accelerate verification workflows, enabling faster GPU build iteration.
• Empower GPU architects by providing insights to understand current performance and model industry-leading performance for future builds.
• Improve the daily workflows of the world's top chip architects, contributing to the creation of the next greatest generation of GPUs!

System Software Engineer – Performance Verification Infrastructure

• Act as the lead engineer for developing agent frameworks natively on Windows environments
• Build the technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs and laptops
• Lead engineering efforts to optimize agent runtimes for Windows
• Ensure autonomous agents operate within detailed, policy-based privacy and security frameworks
• Partner closely with internal AI research teams, driver teams, and the open-source OpenClaw community
• Ensure consumer hardware provides an excellent ecosystem for autonomous agents
• Foster a collaborative engineering culture by mentoring other engineers and writing reliable, production-ready code

Principal Engineer – Local AI, Agents and Systems

• Act as the lead engineer for developing the agent frameworks natively on Windows environments.
• You will build the technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs and laptops.
• Lead the engineering efforts to optimize the agent runtimes for Windows.
• You will ensure that autonomous agents operate within detailed, policy-based privacy and security frameworks (e.g., handling filesystem access, secure inference routing, and network egress).
• Partner closely with internal AI research teams, driver teams, and the open-source OpenClaw community.
• Ensure our consumer hardware provides an excellent ecosystem for autonomous agents.
• Foster a collaborative engineering culture by mentoring other engineers, establishing guidelines for AI agent deployment, and writing reliable, production-ready code.

Senior Engineer, Local AI – Agents and Systems

Mechanical Engineer

• As a key member of the Design team, you will be responsible for the implementation of GPU sub-system modules.
• Make architectural trade-offs based on features, performance requirements and system limitations.
• You are expected to own micro-architecture, implement RTL, and deliver a fully verified, synthesis/timing clean design.
• Support post-silicon validation activities.
• Work with architects, other designers, pre- and post-silicon verification teams, synthesis, timing and back-end teams to accomplish your tasks.

Senior ASIC Design Engineer

Full-stack Engineer

• Work as a team to build reliable, scalable and high performance software that are easy to use by hundreds of engineers worldwide.
• Working on backend and frontend design and development of web applications.
• Develop web tools in Golang, typescript, and javascript to manage our product definitions at the hardware level.
• Research and develop software solutions to allow greater efficiency in architecture, hardware and software teams.
• Optimize the daily workflows of the world's top chip modelers and designers.

Senior Fullstack Software Engineer

Performance Marketing

• Own and drive integrated EMEA campaign strategies for key verticals
• Plan and execute field and industry partner activations
• Build integrated B2B campaigns targeting enterprise decision-makers
• Lead the integrated GTC campaign for EMEA
• Work with regional ISV partners to co-create go-to-market plans
• Collaborate with field sales and partner teams to translate global objectives
• Manage end-to-end campaign execution across digital, events, content, and email
• Track and report performance for optimization

Manager, Campaign Marketing – Integrated Campaigns, Industries

AI Engineer

• Engage the HCLS AI Startup Community in APAC region
• Build and scale programs that connect regional HCLS startups to NVIDIA technologies
• Engage regional Venture Capital firms and funding entities at scale
• Drive Regional Strategy, Execution, and Operational Excellence
• Act as Regional Interface and SME

Healthcare AI Lead – APAC

Controller

• Owning firmware development for embedded controllers
• Designing, implementing, and delivering Embedded Controller (EC) firmware
• Integration of EC firmware with other platform firmware
• Providing technical support to the EC Chip vendors and OEMs/ODMs
• Partnering with EC Chip vendors to ensure products work best with NVIDIA products
• Working with hardware teams to review HW architecture & schematics
• Collaborating with QA/Test architects to produce proper test tools and automation
• Developing collaterals for EC chip vendors and OEMs/ODMs

Senior System Software Engineer, Client Embedded Controller

• Define the next generations of Spectrum-X, InfiniBand and NVLink SW architecture.
• Research of various solutions by defining and running POCs, evaluate SW and HW impact and conveying the solution architecture to the relevant teams.
• The solutions can span over various layers: from algorithms and high level software to firmware and HW.
• Collaborate with multi-functional teams, including other architecture teams, VLSI logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

Senior System Software Architect, AI Networking

Solutions Engineer

• Provide hands-on technical mentorship to partners and customers on Nvidia GenAI stack.
• Guide customers to develop and deploy Agentic AI workflows on our platforms, quantifying the benefits of our accelerated computing software and hardware.
• Build demonstrations and POCs for solutions that address critical business needs of our customers.
• Help in draft requirements for missing features to unblock progress at customers/partners.
• Educate customers on new NVIDIA GenAI technologies and platforms.
• Prepare and deliver technical training presentations and workshops.
• Build collateral (notebook/blog) applied to the industry use-cases.
• Partner with NVIDIA engineering, product, sales teams to secure design wins at customers.
• Enable development and growth of NVIDIA product features through customer feedback and POC evaluations.

Senior Solutions Architect, Gen AI

• Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks.
• Design and execute rigorous performance studies to establish baselines, diagnose regressions, and quantify bottlenecks.
• Define performance and efficiency evaluation methodologies, benchmarks, and success metrics for AI workloads.
• Use profiling, observability, and data analysis to turn performance measurements into actionable optimization plans.
• Partner with deep learning engineers, platform teams, and GPU architects to validate and deliver performance improvements.
• Communicate performance findings, trade-offs, and recommendations clearly to influence system and software design decisions.

Senior Performance Engineer – DGX Cloud

• Partnering with NVIDIA software, research, architecture, and product teams to align strategies and technical needs for fostering the ecosystem of AI on RTX and DGX PCs.
• Collaborate closely with industry partners to advance AI across critical domains—including graphics, web browsers, and edge devices—by driving innovation in both open and closed source technologies with emphasis on system level support.
• Improving performance on current and next-generation GPU architectures by conducting in-depth analysis and end-to-end optimization of AI models, data processing pipelines, and inference runtime features.
• Identifying, evaluating, and implementing compute and memory optimization techniques—such as quantization, distillation, and pruning—for large AI models; fine-tuning and compressing models to fit edge devices.

Senior Software Engineer – Local AI

• Design and deploy AI systems that make post-silicon validation faster, smarter, and more scalable across semiconductor environments.
• Work directly with multi-functional engineering teams across the organization to identify where AI can eliminate friction, and then build the solution.
• Evaluate emerging AI frameworks and architectures before the rest of the industry catches on.
• Build the data systems that prove what's working and establish clear, quantitative indicators of AI impact, close performance gaps, and drive iteration across the org to turn insight into lasting improvement!