NVIDIA

AI Research Scientist

• Design and architect AI/ML models for quantum error correction and logical operation synthesis
• Develop AI techniques for quantum computing
• Create high-quality, large-scale datasets
• Collaborate with quantum hardware teams

Senior Quantum AI Research Scientist, Applied Research

Designer

• Develop innovative HW, GPU and system designs to extend the state of the art performance and efficiency
• Understand the design and implementation, develop methodology and infrastructure to drive Performance, Power and Area (PPA) improvements
• Execute and deliver fully verified, high performance, area and power efficient RTL to achieve design targets
• Collaborate with architects, designers, verification and VLSI teams to craft the industries' top performing GPUs

ASIC Design Efficiency Engineer

Research Scientist

• Developing automated quantum error correcting code discovery protocols and pipelines.
• Using AI and automation to identify novel quantum error correcting codes that achieve high-performance across encoding rate, error suppression, and system realizability.
• Integrating various classical machine learning methods for identifying high-performance code constructions, building bespoke machine learning models tailored to high-performance code design, and developing machine learning-based decoders for topological and/or QLDPC codes, with an emphasis on improving decoding accuracy, scalability, and adaptability to quantum logic settings.
• Building out methods to identify and evaluate high-performance error correcting codes and decoders that directly incorporate hardware constraints of various types of physical systems.
• Analyzing and evaluating the performance of fault-tolerant circuits implementing quantum error correcting logic and memory using analysis and simulation tools.

Quantum Error Correction Research Scientist Intern

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

Data Engineer

• Architect event-driven pipelines (Kafka) and develop new data models that ensure transactional integrity (ACID) for commercial events like invoices, payments, and adjustments
• Automate scalable ETL processes and refactor next-generation data architectures to improve quality, security, and coverage for rapidly growing business demands
• Collaborate across teams to codify business processes into self-measuring systems, debugging complex challenges to ensure the reliability of financial operations

Senior Data Engineer – Financial Transactions, Automation

Solutions Engineer

• Work on our EMEA M&E Solution Architects Team to drive NVIDIA technology adoption at key M&E customers.
• Secure builds in Data Center, Edge, and Cloud Deployments.
• Become a trusted technical advisor for our EMEA-based customers, helping them architect end-to-end agentic pipelines like video analytics, archive analysis, and automated metadata extraction, etc.…
• Lead customer proof-of-concepts (PoCs) using next-generation AI platforms to solve complex M&E use cases, including automated video summarization, agentic and Generative AI workflows for image and video synthesis.
• Design and implement scalable inference solutions that manage the transition from Edge-based processing to massive Cloud clusters, addressing the unique throughput and latency challenges of VLMs and Diffusion models.
• Partner with NVIDIA Engineering, Product, and Sales teams to optimize AI techniques bridging algorithms and systems, providing critical field feedback to influence NVIDIA’s future M&E software and hardware roadmaps.
• Drive adoption of NVIDIA’s Accelerated Compute Platforms, focusing on growing our customers’ capabilities in deploying modern AI architectures, from traditional CNNs to transformer-based generative models.

Solution Architect, Computer Vision – Media and Entertainment

Security Engineer

• Outline the security architecture strategy for cloud authentication, authorization, workload identity, and agent identity across NVIDIA cloud platforms, AI-enabled systems, enterprise connectors, services, and automation.
• Outline processes for establishing, linking, authorizing, delegating, auditing, and retiring human, workload, service, and autonomous agent identities, including attestation-supported identity issuance and certificate-based or temporary credentials.
• Develop authorization and delegation frameworks for AI agents and enterprise connectors, encompassing consent, token exchange, prioritized authority, sensitive-action approval, revocation, and protections against confused-deputy behavior.
• Lead architecture reviews and threat modeling for high-risk identity and access flows, turning ambiguous scenarios into practical controls that engineering teams can build and verify.
• Establish identity lifecycle, telemetry, and emergency-disablement patterns for token issuance, policy decisions, privilege elevation, tool invocation, data access, credential rotation, grant revocation, and compromised or untrusted identities.
• Convert emerging AI security risks into authentication, authorization, audit, and execution-boundary requirements.
• Partner with identity, cloud, platform, application, AI security, governance, detection, and incident response teams to align architecture decisions with risk strategy and operational reality.
• Build reusable architecture patterns, decision records, exception criteria, and implementation mentorship, staying engaged through adoption, validation, and residual-risk closure.

Senior Security Architect, Cloud Authentication and Authorization

Controller

• Develop verification infrastructure (testbenches, BFMs, checkers, monitors, randoms)
• Review and drive test plan execution for planned features
• Ensure code and functional coverage of all RTL
• Work with FPGA and software teams for testing
• Plan for and be involved with post-silicon verification and debug

Senior Memory Controller Verification Engineer

Full-stack Engineer

• Join the Developer Tools team as a senior software engineer to work on profiling tools within the growing Nsight family.
• Design and implement product features that would help make it possible and easy to collect, analyze, and visualize performance profiling data in cluster and cloud environments.
• Communicate across multiple teams to collect and understand the requirements, user needs, and expectations.
• Understand how the underlying hardware and software works, and use that knowledge to deliver valuable features to the users.
• Collaborate with team members across multiple time zones in a dynamic, high-energy work environment.
• Interact with internal and external users, help them get the maximum value out of our products, and deliver their feedback to the product team.

Senior Software Engineer, Developer Tools

Manager

• Establish and maintain effective working relationships with all collaborators
• Understand the high and low-level technical architecture and be able to facilitate debate and drive decisions on appropriate solutions
• Ensure that company requirements are produced to standard promptly
• Develop & present comprehensive technical solutions to customers
• Communicate and hold conference calls with internal teams, customers, and partners
• Lead complex installations
• Handle the communication of project changes and release notices to customers
• Document technical and operational procedures clearly and concisely
• Be willing to work irregular hours as required

Senior Project Delivery Manager

• Coordinate Technical Engagements: Oversee and prioritize the workflow of OEM technical teams supporting NVIDIA product integration, ensuring alignment with sales strategy and design win objectives.
• Lead NPI activities: Plan and coordinate efforts, guide teams to integrate NVIDIA technologies into platforms with OEMs.
• Orchestrate End-to-End Solution Development: Lead the prioritization and sequencing of workstreams that deliver complete hardware and software solutions, ensuring cross-functional alignment and timely execution.
• Address OEM Partner Concerns and Provide Support: Resolve intricate customer issues, handle partner concerns, and uphold strong technical relationships to ensure satisfaction and swift problem-solving.
• Coordinate Large-Scale Deployments: Lead technical execution for major customer deployments, coordinating internal and external resources to ensure successful implementation.
• Recruit and Build Talent: Participate in the recruitment process, lead interview panels, and prepare executive-level hiring justifications for new team members.
• Influence Strategy and Policy: Provide input to business units, recommend procedural improvements, and contribute to OEM account strategy and roadmap planning.

Manager, OEM Solution Architecture

• Design and implement platform workflows, including firmware and software extensibility for product designs, debug and production security.
• Collaborate with SW/FW architects, HW Designers, ISV and IHV partners to define platform requirements to create scalable and reusable designs for NVIDIA platforms.
• Champion reliability, debuggability and optimization in firmware, diagnostic and deployment tool design.
• Engage in pre-silicon platform design all the way through product production.
• Mentor architects and engineering teams to grow them into future leaders.
• Make key technical decisions even when faced with ambiguity.

Principal Software Engineer

Cloud Engineer

• Crafting RESTful cloud services and frameworks to create GeForce NOW
• Design, build, and implement scalable cloud-based systems for SaaS/PaaS
• Help drive the underlying technology stack
• Work closely with other teams on new products or features/improvements of existing products
• Drive performance tuning and automation
• Support, maintain, and document software functionality

Senior System Software Engineer, Cloud Services

Program Manager

• Act as the primary, authentic voice of NVIDIA Developer Marketing within targeted communities, forums, and social channels.
• Nurture daily conversations and foster a welcoming, inclusive environment to help those communities accelerate integration.
• Identify, onboard, and build deep relationships with community champions, open-source contributors, and brand advocates.
• Serve as the internal advocate for the community, synthesizing daily sentiment and product feedback.
• Partner with technical teams to ensure the community has the right resources and highlight community-generated projects.

Program Manager, Developer Marketing – Community

• Develop and maintain outstanding DirectX Graphics Drivers for NVIDIA GPUs, with a focus on supporting single-GPU system architectures
• Development of new OS and new chip graphics features for upcoming operating systems and GPU architectures
• Developing and driving quality improvement initiatives to deliver the best possible gaming experience on NVIDIA GPUs
• Advancement of graphics and AI-based post-processing features and graphics algorithms for high-end rendering
• Development of fundamental software stacks and features to use AI in graphics
• Exploring methods to automate engineering workflows using AI agents, involving activities such as debugging, testing, triage, code analysis, documentation, and boosting developer efficiency
• Building, deploying, and continuously improving agent-based automation solutions that help engineering teams move faster and with higher quality
• Collaborating with teams across the company to plan and drive software objectives for the team