NVIDIA

Full-stack Engineer

• Track the cutting edge: How are agentic systems evolving? You'll follow research in tool use, planning, memory, evaluation, self-improvement, multi-agent workflows, runtime infrastructure, and agent safety/security.
• Bridge research and product: Identify research ideas that can meaningfully improve OpenShell and translate them into concrete product opportunities.
• Benchmark and adapt: Reproduce and test promising methods from papers, open-source projects, industry work, and internal NVIDIA research.
• Build rapid prototypes: Create hands-on proof-of-concepts using OpenShell, including agent harnesses, evaluation loops, self-improving workflows, and runtime-native developer experiences.
• Red-team systems: Design evaluation and red-team harnesses that measure agent reliability, usefulness, scalability, safety, security, and developer experience.
• Secure the workflow: Help us design secure-by-default workflows for agents operating with tools, code, files, credentials, and enterprise systems.
• Partner across teams: Collaborate closely with engineering, product, design, research, solutions, and developer-facing teams to move ideas from prototype to product.

Software Engineer, OpenShell

• Designing and implementing new features for high-performance CPUs and GPUs
• Working with application teams to tackle interesting and meaningful compilation problems
• Partnering with team members on projects as related to high-performance computing and optimizations
• Interacting directly with teams in the open source community

Senior CPU Compiler Engineer – HPC

Production Engineer

• Build and operate automation for large-scale GPU clusters across NVIDIA Cloud Partners (NCP) and on-prem environments
• Develop tools and services for provisioning, validation, upgrades, monitoring, repair, and cluster lifecycle operations
• Improve Day 0 / Day 1 / Day 2 workflows for cluster bringup, handoff, and production operations
• Reduce manual production touches through APIs, GitOps, automation, and agent-assisted workflows
• Participate in on-call, incident response, debugging, and durable follow-up work
• Partner with platform, storage, networking, security, and workload teams to make infrastructure production-ready

Senior Software Engineer, DGX Cloud Production Engineering

Solutions Engineer

• Working with NVIDIA AI Native and Consumer Internet customers on large data center GPU server and networking system deployments as Solution Architect Engineer.
• Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments.
• Demonstrate subject matter expertise in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers.
• Bring customer-specific requirements to product teams to guide product roadmap features.
• Identify new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications.
• Work closely with the GPU/Network Systems Engineering, Product management and Sales teams
• Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster issues debug, feature discussions and introduction to new technology solutions
• Build custom product demonstrations and POCs for solutions that address critical business needs of our customers
• Analyze and debug compute/network configuration, performance issues to deliver performant clusters

Senior Solutions Architect, AI Infrastructure

AI Engineer

• Design, build and optimize agentic AI systems for the CUDA ecosystem.
• Co-design agentic system solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available.
• Develop reproducible, high-fidelity evaluation frameworks covering performance, quality and developer productivity.
• Collaborate across the AI stack—from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving—and with model/agent teams.

High Performance AI Engineer

Product Manager

• Take full responsibility for the strategic direction and roadmap of the break-fix automation system.
• Define automation confidence thresholds, blocking issue criteria, and human-in-the-loop intervention points.
• Build the operator UX for repair queues, workflow transparency, and audit trails.
• Drive the integration between failure attribution and automated repair actions.
• Define repair SLOs and own the metrics framework for time-to-drain, time-to-healthy, and overall fleet availability.
• Collaborate with NCP operators, SRE teams, and hardware vendor partners to integrate RMA processes and optimize repair workflows at scale.

Principal Product Manager

DevOps Engineer

• Develop and support CI processes of various products.
• Coordinate with various teams across the globe to promote and improve CI practices.
• Build infrastructure for effective, high-quality development and release efforts.
• Be a part of an experienced team with a great atmosphere.

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

• 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