NVIDIA

Full-stack Engineer

• Develop and advance the inference microservice framework: OpenAI-compatible API endpoints, inference backend integrations (vLLM, SGLang, TensorRT-LLM, Dynamo), middleware, observability instrumentation, and production hardening across cloud, on-prem, and Kubernetes environments
• Architect significant new features in open-source codebases, shepherding them through project acceptance and into production
• Build and optimize high-performance model download and caching pipelines across multiple cloud storage backends (NGC, HuggingFace, S3, GCS) - parallel transfers, integrity verification, and seamless multi-cloud operability
• Implement the model profile and manifest system that ensures NIMs are optimized for every NVIDIA GPU platform - profile selection, validation, and multi-GPU configuration
• Develop and refine cloud microservice patterns - service discovery, health checking, graceful degradation, API gateway integration, and end-to-end request lifecycle management - to ensure NIMs operate reliably at scale in diverse cloud deployment environments
• Be a role model for high-quality code across Python, Rust, and C/C++, and model guidelines in test-driven development, agentic AI-assisted development, code review, and cross-team collaboration
• Mentor teammates and establish high engineering standards for container quality, security, and operability

Senior Software Engineer – NIM Platform SDK and Framework

Security Engineer

• Delivering security features required for the success of NVIDIA’s Data Center business
• Engaging with NVIDIA teams and partners to drive implementation and deployment of security features and systems
• Designing, implementing, and delivering innovations to secure AI Data Center systems with focus on Root of Trust (RoT) for boot, attestation, recovery, Out-of-Band management, debug, and overall security firmware development
• Designing and developing optimized security solutions using and following industry standards such as OpenBMC, UEFI, TCG DICE, SPDM, PLDM, Redfish, NIST SP800-193 and CNSA2.0

Senior Systems Software Security Engineer – Data Center Systems

Backend Engineer

• Design industry grade C++ testsuite, focusing on modern C++ standards C++23/26.
• Identify potential gaps in current test procedures and leverage modern LLM technologies to increase quality of C++ testing.
• Automate compiler testing using NVIDIA test frameworks and programming. This includes test execution, test reporting, results analysis, and automation of build and test environments.
• Apply current iterative planning and test development processes in existing test coverage and work on closing test gaps.

Verification Engineer – Compilers, C++

Developer Relations

• Develop developer and ISV strategy with cross-functional teams in Product and Engineering.
• Lead strategic relationships with key opinion leaders, leading ISVs, and influential researchers.
• Evangelize and directly engage target applications, academic, and ISV collaborators.
• Drive early adoption of new products and support launch and go-to-market activities.

Developer Relations Manager, Core CUDA Math Libraries

Mechanical Engineer

• Working with architects, design leads, physical design leads and package leads, you will develop and to craft and optimize floorplans during early chip development.
• Drive the area review process and collaborate with the ASIC design team to identify area, interconnect and floorplan improvement opportunities
• Solve timing and routing congestion issues with physical and ASIC design teams by influencing early design and physical implementation decisions.
• You will build tools and improve existing infrastructure to optimize chip area and speed of execution.

Senior ASIC Floorplan Design Engineer

• Design and implement end-to-end integrations of Grove with open-source AI frameworks (e.g., Dynamo, llm-d, Ray, PyTorch, and related ecosystem projects)
• Build and maintain adapters, plugins, operators, and/or runtime components that enable Grove features to work smoothly across training and inference stacks
• Partner with framework owners to upstream changes, contribute patches, and ensure long-term maintainability of integrations
• Develop reference workflows, sample apps, and best-practice guides that accelerate adoption by users and partners
• Optimize performance, scalability, and reliability for distributed training/inference, including multi-node and multi-GPU environments
• Improve observability and operational readiness (metrics, logging, tracing, debugging tools) for Kubernetes-based deployments
• Participate in technical design reviews, define APIs/contracts, and ensure compatibility across versions of frameworks and dependencies
• Diagnose complex issues spanning containers, networking, scheduling, CUDA/GPU utilization, and framework runtime behavior.

Senior Software Engineer, AI Frameworks

Product Manager

• Defining and refining product strategies and roadmaps for CUDA-Q
• Collaborating with research and engineering teams to build tools, APIs, and libraries
• Engaging with quantum hardware partners to validate technical approaches
• Evangelizing NVIDIA's accelerated computing platform through presentations and papers
• Identifying untapped opportunities at the intersection of AI, HPC, and quantum

Product Manager, CUDA-Q

Director

• Lead the global channel strategy for driving NVIDIA AI platform adoption through OEM, distribution, VAR, SI, and GSI partners into enterprise accounts
• Build and deepen executive-level relationships with Channel leaders from Dell Technologies, Hewlett Packard Enterprise, Cisco, and other partners
• Build and launch global and regional partner programs, incentives, and sales plays that make it easier and more profitable for partners to sell NVIDIA’s artificial intelligence offerings
• Lead a high-performing distributed team dedicated to OEM engagement, distribution strategy, and partner development
• Partner with product, marketing, and regional sales leaders to build differentiated AI solution offerings and repeatable enterprise sales motions
• Establish clear benchmarks and operating rhythms for pipeline generation, partner-sourced and partner-influenced revenue, and program value
• Represent NVIDIA at key partner and industry events, articulating our AI vision and value proposition to executive audiences across the ecosystem

Senior Director, Global Channel Development

Engineer

• Build and implement dataflow pipelines and streaming architectures.
• Develop host-side software, drivers, and runtimes that collaborate with our accelerator hardware.
• Partner with compiler and hardware groups to allocate dataflow graphs onto hardware resources.
• Build tooling and methodologies for debugging, profiling, and validating dataflow behavior in hardware.

Senior Dataflow Development Engineer

Architect

• Design new hardware features for future graphics and parallel processing architectures.
• Develop or enhance graphics or parallel processing algorithms and advance the state of parallel computation.
• Be knowledgeable about future parallel programming models and their impact to hardware.
• Develop software for various hardware simulators, test infrastructures or metrics systems including databases.
• Work in a team to document, design, develop tools to analyze and simulate, validate, and verify functional or performance models.
• Develop tests, test plans, and testing infrastructure for new graphics or parallel processing architectures.
• Be hungry to learn and work on simulators, RTL and real silicon.

Senior GPU Architect

Application Engineer

• Be a technical specialist on GPU and networking products, directly supporting sales account managers to secure build wins.
• Actively establish and nurture technical relationships with engineers, management, and architects at key customer accounts.
• Identify customer architectures and key product requirements in the CSP/ODM AI market to successfully implement NVIDIA's solutions.
• Provide onsite support to solve hardware and software problems, with a focus on deep learning training and inference.
• Lead the product through its entire lifecycle, from the design-in phase to end-of-life, ensuring flawless execution and customer happiness.
• Develop technical solutions including hardware & software demos and example system builds.
• Offer technical and sales training to direct sales teams and channel partners.
• Establish strong communication channels and collaborative relationships with internal teams to ensure a positive customer experience.

Senior Field Application Engineer

Technical Program Manager

• The Technical Program Manager will have strong skills and experience in program management and engineering operations.
• Encourage analytical, meticulous, effective communication.
• Ability to work across multiple engineering teams to understand product roadmap and limitations.
• Use historical trends, generate meaningful metrics, and stay tuned into rapid changes in product development plans.
• Lead coordination, planning and execution activities for Datacenter Server product deployments in internal development data centers.
• Develop and lead end-to-end project plans to improve infrastructure stability, observability, and uptime; help define and drive KPIs.
• Be at the intersection of engineering, operations and lab administration teams helping streamline overall engineering operations.
• Provide hands-on program management during analysis, design, development, testing, implementation, and post implementation phases.

Senior Technical Program Manager, Data Center – Engineering Operations

• Act as the technical point of contact for startups and developers building agentic, multi-modal applications—or adding AI agents to existing platforms.
• Engage with developers to use NVIDIA’s Agentic AI stack—including Nemo Microservices, Nemo Agent Toolkit, Dynamo, Nemotron models, and CUDA-accelerated pipelines—to improve performance and scalability.
• Build and deliver sample applications, tutorials, and technical content that showcase protocols for LLMs and agentic workflows.
• Represent the voice of the developer by gathering feedback and influencing NVIDIA’s product roadmap and developer experience.
• Support startups through integration and certification within NVIDIA partner programs.
• Represent NVIDIA at industry events, developer meetups, VC forums, and hackathons to identify emerging startups and evangelize our Agentic AI strategy.
• Partner with the Retail team to support startup go-to-market through strategic partnerships and participation in NVIDIA-led events.

Senior Retail Developer Relations Manager, Digital Commerce

Hardware Engineer

• Work closely with the architecture and different software design teams
• Implement new features in the core of Mellanox NIC firmware
• Develop verification tests for advanced features in a highly complex and sophisticated Firmware testing environment
• Gain a deep understanding of system debug, networking technology and stacks, as well as the HW/FW/SW relationship
• Learn how a big software project is operated, maintained, qualified and released, and how Hardware and Firmware are developed

Senior Firmware Engineer, NIC Firmware

• Define product, technical vision and architecture.
• Develop platform strategy across supply chain, stores, and e-commerce
• Architect and build systems hands-on, using existing blueprints Retail and Agentic Commerce, and supply chain blueprints, as well as other key components of NVIDIA Retail used for hyper-personalization, new formulation discovery with NVIDIA ALCHEMI and CuOpt supply chain optimization solvers.
• Create reusable reference architectures for industry adoption.
• Define the product, technical vision, and architecture for the Retail & CPG platform using NVIDIA’s existing blueprints and workflows.
• Use NVIDIA technologies like NeMo, NIM, RAPIDS, and cuOpt to contribute code, debug systems, and make key technical decisions.
• Deliver a production-ready platform together with NVIDIA engineering, focusing on latency, throughput, and cost efficiency.
• Ensure system reliability through monitoring, evaluation, and fallback strategies.
• Work together with Solution engineers and developer relations engineers to present the platform to ISVs, GSIs, and customers.
• Contribute to technical thought leadership and engage with the industry.