NVIDIA

Solutions Engineer

• Primary responsibilities will include building AI/HPC infrastructure for new and existing customers.
• Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting.
• Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement.
• Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.
• Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

Senior Solutions Architect – Infiniband, Networking, Ethernet

• Making AI Startups successful, helping accelerate their apps/platforms using the latest SDKs and technologies.
• Collaborating deeply with NVIDIA deep learning engineers, SDK product and framework teams, Deep Learning Institute (DLI), and NV Research to ensure developer enablement materials are best-in-class and fully aligned with technology roadmaps.
• Championing the use of DL (deep learning) and Data Science across the growing portfolio of AI startups.
• Developing world-class materials to educate developers. Assets include sample applications, tutorials, white papers, technical blogs, trainings and presentations to help developers adopt NVIDIA’s SDKs and key technologies.
• Contributing to the development of hands-on training materials and exercises used in DLI courses and becoming a certified instructor.

Solutions Architect, Industry Accounts

• Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers.
• Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations.
• Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning/deep learning models to ensure the best performance on current- and next-generation GPU architectures.
• Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues to drive success using NVIDIA technology.
• Facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction.
• Build collateral (notebooks/ blogs) applied to Finance industry use-cases such as ML/DL, recommender systems, GNN, monte-carlo simulations, Quantitative Finance, etc. by working closely with customers.

Solutions Architect, Financial Services, Capital Markets

Developer Relations

• Develop and maintain deep technical expertise in software products (Splunk, AppDynamics, ThousandEyes, AI Defense).
• Serve as the trusted technical advisor, problem solver, and champion for developers in observability, security operations, and AI platforms.
• Partner with cross-functional teams to drive adoption of libraries within those technologies.
• Accelerate critical workloads by demonstrating and integrating the NVIDIA software stack (APIs, SDKs, data integrations, apps, and reference architectures) into partner products, platforms, and pipelines.
• Guide partners and developers through onboarding and integration by providing technical resources—such as sample code, guides, and demo pipelines—to accelerate adoption across NVIDIA’s platform and foster co-innovation of next-generation solutions.
• Map and monitor the developer ecosystem to identify growth opportunities, collaborating with engineering, product management, and marketing to inform roadmaps and optimize partner adoption strategies.
• Engage partner technical leaders to drive best-practice integrations and resolve technical challenges, using regular syncs to track adoption, surface new workflows, and channel critical field insights back to NVIDIA product teams.
• Grow and activate developer communities around accelerated software — representing co-engineered products at conferences, meetups, and hackathons and delivering technical talks and hands-on workshops.
• Drive API, SDK, and integration adoption across Splunk and the broader software ecosystem, championing the developer experience end-to-end.
• Surface developer sentiment and ecosystem trends, translating them into actionable intelligence that informs product direction and platform strategy.

Senior Developer Relations Manager – Security, AI Software

Engineer

• Work with a geographically distributed partner organisation to understand, modify and improve CPU Compiler SW at NVIDIA
• Contribute new features and optimisation techniques targeting NVIDIA Grace CPUs engaging with upstream and open source communities
• Develop compiler SW that is optimised for performance
• Be part of a team that is at the centre of AI, HPC and data centre technologies
• Help in the development of next generation CPU micro-architecture

Senior Compiler Engineer

• Invent new methods to enable parallel, graph-based RTL traversal, analysis, and manipulation.
• Devise strategies for rapidly analyzing the impact of RTL changes on data path latency, power, and impact to DFT, clocking, and power delivery.
• Explore use of LLMs (Large Language Models), GNNs (Graph Neural Networks), GANs (Generative Adversarial Networks), and Reinforcement Learning for suggesting or automatically implementing RTL modifications.
• Explore high performance algorithms for clustering, min cost tree covering (technology mapping), datapath implementation and other details of logic synthesis, especially that efficiently incorporate human insight.
• Drive the roadmap of increasing hardware design productivity across the design teams.

Software R&D Engineer, RTL Optimization Tools

Product Designer

• Lead and grow a team of formal verification engineers focused on pre-silicon FV of complex digital designs.
• Define and drive strategies and methodologies across multiple projects to prove design correctness and ensure quality.
• Collaborate closely with Architecture, Design, and DV teams to identify verification needs and drive closure.
• Provide technical guidance, mentoring, and support to engineers on the team.
• Own planning and execution of verification deliverables to ensure high quality and timely tapeouts.

Chip Design Manager

• Understand China researcher and developer communities
• Analyzing the technical requirement, identify needle moving projects
• Bridge NVIDIA tools with communities' requirements
• Promote NVIDIA tools, libraries, and SDK’s with China researcher and developer communities, ISV and Service Providers
• Deep understanding of AI algorithms, datasets, and benchmarks, including reinforcement learning for post-training;
• Discover new workflows, identify blockers to ISV adoption, and report back to the product teams
• Drive early adoption of new products and support launch and go-to-market activities
• Collaborate with NVIDIA business development managers, solution architects, developer technology engineers, developer marketing, product teams to engage with customers and communities

Senior Developer Relations Manager – AI Algorithms, Datasets, Benchmarks

Manager

• Build and maintain trusted, long-term working relationships with customers, internal stakeholders, and partner teams
• Understand high-level and detailed technical architectures, facilitate technical discussions, and drive decision-making for optimal solution design
• Ensure project requirements, deliverables, and documentation adhere to NVIDIA quality standards and are completed on schedule
• Develop, present, and defend comprehensive technical solutions and deployment plans to executive and technical customer audiences
• Lead regular syncs, governance calls, and status updates with global internal teams, customers, and third-party partners
• Own delivery of complex on-site or remote data center installations, escalate issues appropriately, and drive resolution with cross-functional partners
• Manage project change requests, release communications, and customer notifications in a clear and timely manner
• Create clear, concise technical and operational runbooks, procedures, and post-implementation documentation
• Demonstrate flexibility to support on-call, off-hours, or global time zone requirements as needed for critical deployments

Senior Project Delivery Manager

• Understand China researcher and developer communities
• Analyze the technical requirements
• Identify needle moving projects
• Promote NVIDIA tools, libraries, and SDK’s
• Discover new workflows, identify blockers to ISV adoption
• Drive early adoption of new products and support launch activities
• Collaborate with internal teams and stakeholders

Senior Developer Relations Manager – Database, Data Processing

Full-stack Engineer

• Collaborate with Hardware and Software Engineers to craft the next generation CPUs and SoCs
• Bring a deep understanding of Software Architecture, system software technologies, and modern OSes to drive hardware architecture decisions
• Provide direction and advice for designing optimized solutions to various software engineering organizations
• Collaborate with key partners to customize solutions to meet their requirements
• Research upcoming industry directions for NVIDIA's key markets and provide engagement advice to Sr. Management

Principal CPU Software Architect

Technical Program Manager

• Hands on driving software programs and processes.
• Leading multi-functional team members in a matrix organization to deliver projects on time.
• Leading projects in both Waterfall and Agile methodologies.
• Authoritatively presenting project status to multi-functional teams as well as executive management.
• Working independently, take-charge and influence with minimal mentorship.
• Working with global partners across multiple time zones, geographies, and diverse technical fields to define work you're doing, report on status, and deliver projects to expectations.
• Influencing other teams by creating an efficient/accountable development environment through process development and process improvement.
• Observing and following defined processes for escalation if the execution of planned work product tasks is not on track.
• Thinking strategically and tactically.
• Distilling sophisticated projects down to manageable tasks and landmarks and optimally disseminating them to the multi-functional teams.

Senior Software Technical Program Manager

• You will be the person in charge for all interaction with our partners in the field of Automotive Safety for NVIDIA’s DRIVE programs incl. DRIVE OS, NDAS and the Alpamayo software stacks
• You will support our partners to architect, design, integrate and release their automotive ADAS products
• You will interface with our partners' safety experts, safety managers, engineering, and test teams to ensure that their integration of our products follows NVIDIA’s recommendations and is compliant with the industry’s state of the art, as well as all relevant safety standards (ISO26262, ISO21448, etc.)
• Contribute to the creation and continuous update of NVIDIA’s safety analysis documents (Hazard and Risk Analysis, Development Interface Agreements, FMEAs, Fault Tree Analyses, Safety Cases, etc.) as well as related Safety Plans
• You will feed our partners’ requirements and feedback into the development of our new product generations
• Align on timelines and contents for NVIDIA’s safety deliveries (incl. requirements exchange, impact analyses, safety manuals, product releases) towards our partners
• You will as well track and coordinate their actual deliveries and will align on potential mutual safety assessment scopes and schedules
• Act as a point of entry for any safety related technical enquiries into our products, and if necessary, connect our partners and our internal experts to clarify any questions requiring deeper insight
• You will interface with NVIDIA’s HW, DriveOS, NDAS safety and process compliance teams

Senior Automotive Customer Safety Engineer

• Lead the technology strategy for next generation wireless infrastructure spanning systems, platforms, and software architecture
• Seek and apply AI/ML approaches for key functions and pipelines of 6G radio access network (RAN)
• Transform the wireless core into an agentic AI based packet core architecture
• Drive rapid prototyping of new algorithms to establish value proposition and benefits of GPU accelerated platforms
• Work with industry ecosystem - partners and customers - to rapidly drive innovations into deployable products and solutions
• Work with the industry standards and consortiums - 3GPP, AI-RAN and O-RAN - for a transformational next-G technology with AI Native approaches
• Drive development of new applications in Integrated Sensing and Communications (ISAC), Semantic Communications, Physical AI at the Edge and more
• Drive system architecture, requirements, design, development, performance optimizations, and benchmarks for AI-for-RAN software stack
• Identify, pathfind, and develop new acceleration technologies into next generation NVIDIA hardware

Distinguished Engineer – Wireless Infrastructure

• Create and integrate AI agents to enhance the efficiency, productivity, and quality of VLSI design flows
• Collaborate on the design and implementation of algorithms and models that can optimize VLSI design processes
• Contribute to the development of software tools and frameworks that support the integration of AI in VLSI design
• Analyze and interpret data to identify patterns and insights that can inform the development of AI-driven design methodologies
• Stay ahead of the latest advancements in machine learning, deep learning, and VLSI build to continuously improve our solutions