NVIDIA

Developer Relations

• Establish trusted partner relationships with top 6G and AI-RAN researchers in network vendors, academia and startups
• Be the subject matter expert on key 6G topics, identifying and engaging researchers working on these topics
• Conduct simulation studies, develop algorithms and benchmark the results
• File intellectual properties and write papers for publication in reputed journals
• Follow and attend 3GPP and AI-RAN alliance proceedings, develop contributions, drive ecosystem of partnerships at these bodies
• Collaborate with cross-functional teams, including NV Research, engineering, and solution architects, to drive tasks aligned with our mission
• Analyze sophisticated challenges in realization of AI-native RAN, develop strategies, and implement solutions to achieve project objectives
• Maintain up-to-date knowledge of industry trends and new technologies to drive innovation and ensure project deliverables meet or exceed quality benchmarks that align with NVIDIA’s standards of excellence

Developer Relations Manager, Telecom

Research Engineer

• Design and evaluate routing policies for LLM traffic to best use mixture of model systems.
• Build and run agentic benchmarks (e.g., Terminal-Bench ) to measure algorithm quality, and turn results into calibration data and routing profiles.
• Ship to an open-source repo: design docs, code review, docs, and community contributions.
• Collaborating with engineering teams across all of NVIDIA to ensure our software integrates seamlessly up and down the NVIDIA accelerated serving stack.

Senior Research Engineer – Enterprise Products

Solutions Engineer

• Working with Cloud Providers and Hyperscalers to develop and demonstrate networking solutions based on NVIDIA groundbreaking networking hardware.
• Partner with Sales Account Managers to identify and secure business opportunities for NVIDIA networking products and solutions.
• Work with customers on POCs for AI fabric solutions to address critical business needs.
• Conduct regular technical customer meetings for intro to new technologies and products, feature discussions, workshops and performance debugging sessions.
• Provide recommendations to business and engineering teams on product strategy.

Senior Solutions Architect

SDET

• Define ICT capability, hardware design requirements, and board debug capabilities, enabling structural testing at Texas CM sites
• Optimize structural test plans to identify SMT, PCB, and component issues early
• Collaborate with board designers, layout engineers, tester vendors, and fixture providers, offering DFM guidance to meet ICT requirements
• Support production bring-up and debugging, including offshore tester platform bring-up involving ICT, BSI, FCT universal testers, and more
• Coordinate test fixtures and platform automation with suppliers, contract manufacturers, and global teams
• Develop procedures, documentation, and provide technical support as needed.

Senior Structural Test Engineer

Backend Engineer

• Design and implement foundational CUDA C++ libraries, parallel algorithms, utilities, and runtime abstractions
• Compose and optimize GPU algorithms from high-level generic interfaces through low-level implementation
• Design stable interoperability boundaries that allow core C/C++ functionality to be consumed efficiently from Python and Rust
• Balance performance, compile time, portability, compatibility, usability, and long-term API evolution
• Own features throughout their lifecycle: design, implementation, testing, profiling, benchmarking, documentation, release, and maintenance
• Improve developer productivity through diagnostics, examples, build integration, tests, benchmarks, and continuous integration
• Collaborate with Python, Rust, compiler, and runtime engineers during architecture, design, and code reviews
• Engage with users on performance investigations, API feedback, and correctness issues.

Senior Software Engineer, CUDA C++ Core Libraries

Engineering Manager

• Lead the Isaac Manipulation team
• Recruit, grow, and mentor a high-performing team of robotics software engineers; set direction, raise the technical bar, and manage the team’s health, velocity, and delivery
• Collaborate with Product Management to define and drive the strategy and roadmap for grasping, motion planning and control, perception-for-manipulation, and learned manipulation policies — from research to productized, supported platform capabilities
• Translate the hardest contact-rich manipulation tasks in manufacturing, logistics, assembly, and machine tending into robust capabilities that work in the real world, not just the lab
• Partner with NVIDIA Research, the Isaac Sim/Lab teams, and foundation-model teams (e.g., Isaac GR00T, Cosmos) to bring sim-to-real, imitation, and reinforcement learning approaches into the platform and onto physical arms
• Serve as a technical face of Isaac Manipulation to robot-arm OEMs, system integrators, and the developer community — gathering requirements, running joint engineering, and ensuring our APIs and tools meet real workflows
• Drive architecture and execution that fully uses NVIDIA GPUs, CUDA, and the accelerated-computing stack across simulation, training, and on-robot inference on Jetson and edge platforms
• Drive planning and execution of complex, multi-functional programs; own quality, performance, and the real-world deployment of learned policies and manipulation stacks on physical robots
• Represent manipulation in platform-level technical and business decisions, and help shape where NVIDIA invests across the robotics stack

Senior Manager, Software Engineering – Robotics Manipulation

Security Operations

• Responsible for ASIC design verification of fabric and interconnect IP blocks as well as full chip integration, covering DMA, routing, arbitration, ordering, flow control, and protocol compliance.
• Develop and implement test plans for fabric and interconnect verification of SoCs using UVM-based environments, targeting both IP-level and system-level scenarios.
• Design and implement constrained-random and directed SystemVerilog testbenches targeting interconnect fabrics, network-on-chip (NoC) topologies, and multi-agent SoC integrations.
• Collaborate extensively with Architecture, SW/FW, Design, Modeling, Emulation, and Post-Silicon Validation teams to ensure comprehensive first-time right verification plans and execution.
• Drive the development of silicon and platform verification strategies and methodologies for fabric and interconnect subsystems.

Custom SOC IP Verification Engineer

Cloud Engineer

• Work with NVIDIA internal customers
• Design and build scalable software systems to manage NVIDIA’s cloud infrastructure.
• Building network and systems automation software for managing a multi-tenant cloud infrastructure
• Participate in open-source communities of software we leverage and build.
• Present to internal stakeholders and NVIDIA leadership on roadmaps, vision, & demos

Senior Software Engineer, Cloud Platform

Sales

• Define strategy and day-to-day segment sales operating cadence for DPU, NIC and SuperNIC demand generation, outlining the priority workloads, customers, ISVs, use cases, business reviews, and adoption motions where DOCA builds differentiated value.
• Identify, develop and close workload-led builds that attach NVIDIA NIC and SuperNIC products to leading AI, cloud, and enterprise customers deploying agentic workloads.
• Build deep relationships with end customers, ISVs, platform providers, and ecosystem partners to secure integration, validation, launch, and deployment commitments.
• Lead a matrixed group including product management, sales, developer relations, solution architects, engineering, and marketing to prioritize integrations, enablement, field plays, and roadmap feedback.
• Emphasize the ways DOCA-enabled DPU, NIC, and SuperNIC functionalities boost agentic workloads' performance, efficiency, security, observability, and operational scale.
• Build a robust opportunity pipeline with segment sales and account teams, including target account mapping, workload qualification, ISV integration achievements, executive engagement, and partner alignment.
• Lead short-term and long-term NIC business forecasts, evaluate potential risks and opportunities, and collaborate with operations, finance, product, and account groups to coordinate supply, allocation, and customer ramp plans.
• Track and drive quarterly business reporting, forecast accuracy, design-win progress, integration status, revenue influence, supply-demand alignment, customer blockers, and competitive insights.

Director, Host Networking Segment Sales

Electrical Engineer

• Support technical analysis of returned networking products, including switches, adapters, cards, and related hardware.
• Perform or guide troubleshooting, diagnostics, and failure verification at the CM/service location.
• Analyze return data to identify recurring failure modes, quality trends, and potential systemic issues.
• Work with repair technicians and CM teams to improve debug accuracy, repair flow, and root-cause identification.
• Review test logs, diagnostic results, failure symptoms, and repair history to determine next steps.
• Call out complex technical issues and failure trends to global support engineers, product engineering, quality, and design teams.
• Document failure analysis findings, debug steps, corrective actions, and technical recommendations.
• Support containment actions for high-impact or repeated failures.
• Help improve service procedures, test coverage, repair instructions, and diagnostic documentation.
• Collaborate with cross-functional teams across operations, quality, supply chain, customer support, and engineering.
• Ensure returned products are handled according to quality, ESD, and process requirements.
• Provide regular reporting on top failure modes, return trends, unresolved issues, and escalation status.

Senior Electrical Product Engineer – Networking Products

• Support all SLT NPI manufacturing and engineering activities in production floor, from product bring-up through mass production.
• Develop and improve automated test systems and thermal solutions for System-Level Testing (SLT).
• Perform test station setup, hardware configuration, qualification, and maintenance for NPI and production.
• Collaborate with cross-functional teams and vendors on the design, development, and validation of test equipment.
• Plan and execute Design of Experiments (DOE) to identify root causes and resolve production issues.
• Collect, analyze, and interpret manufacturing data to drive yield and productivity improvements.
• Provide frontline engineering support to production operations and troubleshoot test-related issues in real time.
• Develop and maintain test programs and tools for system-level and chip-level debugging, validation, and failure analysis.
• Leverage the latest AI technologies to improve testing efficiency, automate workflows, enhance data analysis, and drive quality improvements.

Test Engineer

LLM Engineer

• Develop and advance speech, audio, and multimodal LLMs that power next-generation voice-first agentic AI experiences
• Leverage AI-native and agentic workflows to accelerate research, development, evaluation, and deployment of AI systems
• Design and deploy AI models and platforms with strong consideration for AI safety, security, privacy, and Sovereign AI requirements
• Establish and drive benchmarking frameworks for voice agents, including speech quality, reasoning, tool use, latency, reliability, and user experience
• Lead technical initiatives, mentor engineers, and foster a One Team culture through close collaboration across research, engineering, product, and customer teams

Speech LLM Engineer, Voice-First AI

Full-stack Engineer

• Build, roll out, and uphold system software that allows for efficient communication between GPUs.
• Participate in the architecture and build of next-generation communication hardware and software that support large-scale computing platforms.
• Drive platform bring-up, feature enablement, end-to-end software validation, and debugging for next-generation NVLink-based GPU and rack-scale systems.
• Triage and resolve complex software, firmware, networking, and platform issues across validation, deployment, and production environments.
• Contribute to software quality, performance optimization, reliability, and scalability across the GPU networking software stack.
• Collaborate with cross-functional engineering teams to understand business and technical requirements and deliver software solutions that meet those needs.

Senior Software Engineer, Fabric Networking - GPU

• Build, lead and scale world-class engineering teams in Vietnam, collaborating with global counterparts across system software, data science, and AI platforms.
• Drive the design, architecture, and delivery of high-performance system software platforms that power NVIDIA’s AI products and services.
• Partner with global teams across Machine Learning, Inference Services, and Hardware/Software integration to ensure performance, reliability, and scalability.
• Oversee the development and optimization of AI delivery platforms in Vietnam, including NIMs, Blueprints, and other flagship NVIDIA services.
• Engage with open-source and enterprise data and workflow ecosystems (e.g., Temporal, Gitlab DevOps Platform, RAPIDS, NeMo Curator, Morpheus) to advance accelerated AI factory, data science and data engineering workloads.
• Champion continuous integration, continuous delivery, and engineering best practices across multi-site R&D Centers.
• Collaborate with product management and cross-functional stakeholders to ensure enterprise readiness and customer impact.
• Develop and deploy standard processes for large-scale, distributed system testing, encompassing stress, scale, failover, and resiliency testing.
• Ensure security and compliance testing aligns with industry standards for cloud and data center products.
• Mentor and develop talent within the organization, fostering a culture of quality and continuous improvement.

Director, Engineering – Software Engineering

DevOps Engineer

• Build tools that make program execution clearer, more reliable, and less manual.
• Work with program managers, engineering managers, software teams, operations teams, and leaders to turn recurring operational pain into durable software.
• Build internal tools, dashboards, scripts, automations, and lightweight applications for program and engineering teams.
• Automate status reporting, risk tracking, dependency tracking, action item follow-up, release readiness, roadmap visibility, and executive reporting.
• Integrate data from Jira, GitHub, spreadsheets, Slack, Teams, Outlook, CI dashboards, internal databases, and other engineering systems.
• Debug stale dashboards, inconsistent data, fragile automations, access issues, and unclear ownership flows.
• Keep tools healthy after launch through documentation, data hygiene, user support, adoption work, and lightweight runbooks.