NVIDIA

Engineer

• Develop benchmarks, end to end customer applications running at scale, instrumented for performance measurements, tracking, sampling, to measure and optimize performance of important applications and services;
• Construct carefully designed experiments to analyze, study and develop critical insights into performance bottlenecks, dependencies, from an end to end perspective;
• Develop ideas on how to improve the end to end system performance and usability by driving changes in the HW or SW (or both).
• Collaborate with AI researchers, developers, and application service providers to understand internal developer and external customer pain points, requirements, project future needs and share best practice.
• Develop the necessary modeling framework and the TCO (total cost of ownership) analysis to enable efficient exploration and sweep of the architecture and design space
• Develop the methodology needed to drive the engineering analysis to Inform the architecture, design and roadmap of DGX Cloud

Senior DGX Cloud Performance Engineer

Security Engineer

• Lead and drive alignment and ownership of cybersecurity specific product motions
• Work across internal teams, software ecosystem partners, and the open-source community to outline shared initiatives
• Maintain technical knowledge of ecosystem and areas for collaboration
• Author requirements documents for products in cybersecurity ecosystem
• Provide technical leadership and mentorship across teams

Director, Technical Product Management – Cybersecurity

Business Operations

• Drive automation across the procurement lifecycle.
• You'll build on existing automations and identify new opportunities to improve efficiency within internal operations and supplier interactions.
• Improve and develop reporting mechanisms for procurement activities, such as order status by project, equipment lead times, contract statuses (SOW, PSA, MSA), and data center capacity lease activities.
• Apply excellent analytical skills to identify trends and patterns, build models, and present findings and recommendations.
• You'll expose business exceptions and unfavorable outcomes through data analysis and develop strategies to mitigate these issues.
• Foster strong business partnerships across a highly matrixed environment, collaborating with Finance, Procurement, Engineering, Vendors, Legal, Business Analysts, Business Owners, and Service Owners.

Technical Program Manager – Business Operations, Procurement Management

Full-stack Engineer

• Drive next generation fleet management solutions for scaling AI infrastructure using GPUs and Grace solution from Nvidia
• Work with customers, product management and other architects to narrow down on requirements for implementation
• Bring up clarity on architecture for fleet health monitoring and fault-remediation solution at scale
• Work with customers and other architects, understand their requirements on health monitoring
• Detailed architecture, do POCs to validate architecture
• Educate customers about product architecture and take feedback
• Write architecture specs, design documents and own end to end delivery of product
• Do code review for the code produced because of architecture specs
• Ensure product is properly tested by working with the development team
• Drive product life cycles with QA teams to productize the code and be responsible as a product owner
• Articulate requirements as part of Jira and bug management tools and work out an end-to-end execution plan
• Contribute to all phases of product development, from product definition, architecture, and design, through implementation, debugging, testing and early customer support.

Principal Platform Software Engineer – RAS

Solutions Engineer

• Primary responsibilities will include deploying, managing and maintaining AI/HPC infrastructure in Linux-based environments for new and existing customers.
• Be the domain expert with customers during planning calls through implementation.
• Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world!
• Provide feedback into internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

Senior Solution Architect, HPC

• Responsible for verification of high-speed coherent interconnect design, architecture, golden models, and micro-architecture using sophisticated verification methodologies
• You'll understand the design & implementation, define the verification scope, develop the verification infrastructure (Testbenches, BFMs, Checkers, Monitors), complete test/coverage plans, and verify the correctness of the design
• Collaborate with architects, designers, emulation, and silicon verification teams to accomplish your tasks

Senior ASIC Verification Engineer, Coherent High Speed Interconnect

Designer

• Responsible for verification of the ASIC design, architecture, golden models and micro-architecture of PCIE controllers at IP/sub-system levels using state-of-the-art verification methodologies such as UVM.
• Build reusable bus functional models, monitors, checkers and scoreboards following coverage driven verification methodology.
• Understand the design specification and implementation, define the verification scope, develop test plans, tests, and the verification infrastructure and verify the correctness of the design.
• Collaborate with architects, designers, and pre and post silicon verification teams to accomplish tasks.

Design Verification Engineer – PCIE

• Emulation and prototyping of complex chip designs
• Defining the methodology and crafting infrastructure for hardware emulation platforms
• Close collaboration with design, verification, and software engineers
• Enabling embedded and application software development
• Connecting emulator/FPGA based solutions to real external H/W or virtual targets
• Managing complex testbench and different protocols

Senior Chip Design Engineer – Hardware Emulation

Account Manager

• Identify, engage, and recruit the most relevant and promising startups in Japan for the NVIDIA Inception program
• Share Japan ecosystem trends and opportunities with the wider organization
• Be the voice of NVIDIA Inception members and become a specialist in their needs
• Establish relationships with technical business leaders within the startup community
• Evangelize NVIDIA’s portfolio of technologies and accelerate its adoption
• Collaborate directly with the VC ecosystem in Japan

Startup Inception Partner Manager

• Design and develop advanced features for our world-class embedded processing
• Write clean, efficient, and maintainable code using advanced AI-based tools
• Collaborate with team members, SW R&D, Architects, compiler team, and FW

Senior Software Engineer – Embedded CPU SDK

DevOps Engineer

• Architect and refine automated deployment Jenkins pipelines to ensure seamless, zero-downtime releases
• Design, build, and maintain enterprise-scale infrastructure using Terraform
• Establish modular, reusable patterns for AWS resources
• Optimize and manage sophisticated AWS environments with a focus on cost-efficiency and security
• Transition our monitoring from reactive to proactive using AI-powered observability tools (e.g., Datadog Watchdog) for automated root cause analysis (RCA) and anomaly detection
• Define and monitor SLOs and SLAs
• Lead incident response and conduct thorough post-mortems to improve system resilience

Senior DevOps Engineer

Artificial Intelligence

• Analyze full‑chip and unit‑level power using internal and industry‑standard RTL and gate‑level power tools, and translate data into concrete design and architectural improvements.
• Develop and productionize power‑aware models and flows, including ML/RL‑based techniques for anomaly detection, dynamic power management, and design‑space exploration.
• Design and train new LLMs that “learn the art” of power analysis from design data, power reports, bug histories, and best practices—so they can:
• Assist engineers in interpreting complex power data
• Propose likely root causes and candidate fixes
• Recommend architectural and micro‑architectural optimizations for power
• Perform comparative power analysis across workloads, products, and design options to identify trends, anomalies, and optimization opportunities that aren’t obvious from first principles alone.
• Partner closely with Architects, Performance, Software, ASIC Design, and Physical Design teams to interpret power data, root‑cause power bugs, and drive fixes and design changes.
• Prototype and evaluate new architectural features in Verilog, with a strong focus on their power and energy implications.
• Automate and scale flows (Python/Perl/C++), and define new pipelines that fast‑track power anomaly detection and close the loop between power data, AI models, and design decisions.
• Apply AI to power optimization: build and deploy data‑driven models—using machine learning, reinforcement learning, data analytics, and custom LLMs—to recommend or automatically tune power‑efficient configurations and policies.

Senior Power Analysis and Optimization Engineer, AI-LLM Systems

AI Engineer

• Research, implement, and validate model architecture and algorithm changes that improve video generation fidelity, with emphasis on human-centric quality (identity preservation, anatomy, motion coherence, and interaction realism)
• Explore and prototype improvements across spatial multimodal modeling, modality alignment, flow-based or diffusion-based video generation, and neural rendering-inspired representations to improve controllability and long-horizon consistency
• Improve training and inference efficiency through architectural and post-training techniques (compute/memory optimizations, distillation, pruning, and compression)
• Define model training objectives that improve sim-to-real and real-to-sim generalization, especially for human motion, contact, and interaction dynamics across real-world and synthetic/simulation data
• Develop detailed, domain-specific benchmarks for evaluating world foundation models, especially generation and understanding world models that reason about video, simulation, and physical environments
• Translate research results into robust implementations like training code, production-grade checkpoints, model integrations, and demos that clearly showcase capability gains across teams

Senior AI Engineer – World Foundation Models

• Partner with researchers and scientists to develop a keen understanding of their goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs.
• Staying up on the state of the art in the production AI and HPC for scientific applications while helping architect and scale high-performance, distributed, AI HPC deployments built on the latest NVIDIA GPU supercomputers.
• Be an industry leader with a vision of integrating NVIDIA technology into AI and HPC architectures for advanced applications in scientific computing.
• Building, running, and deploying large scale workloads on NVIDIA Supercomputers.

Senior Solutions Architect – Healthcare, Life Sciences

• Develop diagnostic systems for NVIDIA data center platforms, which involve hardware and software tools to develop the worst case stress workloads for CPUs, GPUs, memory, storage, and interconnects.
• Lead platform bring-up and integration, ensuring diagnostics are embedded early and effectively across the server lifecycle.
• Drive hardware validation strategy in collaboration with architecture and hardware teams, crafting robust validation plans for new server generations.
• Analyze root causes of complex failures, acting as a Level 2 engineering contact for critical issues and offering scalable solutions across the stack.
• Develop diagnostics software to ensure quality and performance at scale across ODM and partner production lines.
• Mentor and grow engineering teams, providing technical leadership and encouraging a culture of innovation and excellence.
• Influence the long-term strategy by developing diagnostic architecture and roadmaps for the upcoming products of NVIDIA and its partners.