NVIDIA

QA Engineer

• Participate/lead conference calls and F2F meetings with Customers related to quality weekly/monthly
• Track Customer quality metrics with regular reporting to the customer and internal management
• Coordinate and participate in Customer audits for NVIDIA HQ and contract manufacturers
• In crisis/customer critical issue situations, quickly assimilate technical details to: (a) Understand the critical elements of the issue and provide direction to the working team (b) Comprehend the significance of results from various technical activities and formulate responses to customers
• Interface with Customers, Integrators and Partners onsite at their location to support problem solving and issue resolution as needed
• Craft customer presentations covering statuses of root cause, risk assessments, corrective actions, preventative actions and recovery plans for complaints
• Work cross functionally among internal organizations, coordinating activities to assess product risk, drive problem solving and achieve continuous improvement, increasing customer satisfaction

Senior Hardware Customer Quality Engineer

Architect

• Leading multi-functional initiatives to define safety architecture and requirements for autonomous vehicles.
• Delivering safety concepts and analysis to enable continuous and safe software deliveries.
• Defining and improving safety metrics in collaboration with experts in perception, AI, motion planning, and safety architecture.
• Improving processes and tools for safety analysis and data-driven evaluation.
• Sharing safety analysis and readiness results with colleagues and management.

Lead Safety Architect – Autonomous Vehicles

Software Engineer

• Research and develop techniques to accelerate large scale applications running on NVIDIA’s family of advanced CPU platforms.
• Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex data intensive and compute intensive workloads to ensure the best possible performance on modern hardware architecture focused on CPU performance.
• Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community.
• Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

Developer Technology Engineer, CPU Performance

• Develop innovative architectures to extend the state of the art in deep learning performance and efficiency
• Analyze performance, cost and power trade-offs by developing analytical models, simulators and test suites
• Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications
• Develop, analyze, and harness groundbreaking Deep Learning frameworks, libraries, and compilers
• Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW

Deep Learning Performance Architect

Full-stack Engineer

• Drive CI and infrastructure capabilities that make deep learning compiler development fast, reliable, and scalable.
• This includes improving signal-to-noise (flake reduction, reproducibility, and richer diagnostics), accelerating iteration cycles, scaling capacity and coverage across models/hardware/software configurations, and building strong observability (metrics, logging, tracing, dashboards) so failures are easy to understand and fix.
• Explore practical uses of AI to enhance CI workflows—such as smarter test selection, automated triage/summarization, and faster issue isolation—ultimately increasing the quality and speed of deep learning compiler development, testing, and release.

Senior Software Engineer – Deep Learning Compiler Verification, Infrastructure

Backend Engineer

• Guide the design and implementation of a new LLVM based backend JIT compiler targeting NVIDIA GPUs
• Design and develop new compiler passes and optimizations required to meet the high performance and low compilation time requirements of the compiler
• Work with global compiler, hardware, and application teams to oversee improvements and problem resolutions
• Apply and adapt the latest compiler technologies to produce premier, robust, supportable compiler and tools
• Get a chance to influence and work on new GPU architectures

Senior Compiler Engineer – Backend GPU

Product Manager

• Collaborating with customers to build the software component products, early access collaboration, and go-to-market alignment.
• Supervising emerging trends in the AI Infrastructure space and assess technical differentiators and ecosystem impact of new releases.
• Supporting product marketing in crafting software component-specific messaging and documentation - including blogs, whitepapers, case studies, and presentations, highlighting NVIDIA’s optimizations and software tools.
• Collaborating closely with internal engineering, infrastructure, and developer experience teams to enable outstanding support to enable the NVIDIA ecosystem to grow.
• Facilitating feedback loops between our platform and model builders to continuously improve performance, usability, and compatibility.

Product Manager, DSX Software – DGX Cloud

• Work closely with compiler developers to verify new deep learning related features
• Implement and execute functional and performance testing and benchmarking software solutions
• Author and review verification plans, implementing verification programs, scripts, and libraries
• Apply deep learning and other techniques to implement compiler verification solutions
• Identify weaknesses in processes and suggest improvements; participate in quality initiatives

Senior Engineer – Deep Learning, Compiler Verification, Infrastructure

• Develop innovative high-performance processor and system architectures
• Develop architecture and micro-architecture features to improve GPU memory systems
• Participate in performance and power simulation of features to analyze energy per byte
• Analyze benchmarks, application workloads, and performance/power simulation results
• Debug power, performance, and functional issues with high-level models
• Collaborate with outside partners on system infrastructure

Senior GPU Memory Architect

Engineer

• Innovate and develop new machine learning compiler and systems technologies
• Design, implement, and optimize compilers for high impact AI workloads
• Building strong kernel and domain specific language solutions for state of art kernels in LLM inference workloads
• Developing AI-driven solutions to automate the overall development flow.
• Co-design learning system solutions with current and future ML compiler and algorithm technologies.
• Collaborate closely with other engineering teams at NVIDIA to build high impact solutions for machine learning acceleration

Senior ML Compiler Engineer

Account Manager

• Accountable for every facet of strategy development and application
• Forecasting, sales account oversight, training, and education for chosen US Tier 1 and Tier 2 Telecom accounts
• Be the key point of contact and relationship owner for a defined set of customers
• Building key accounts into strategic partners and drive sustaining revenue
• Working closely with partners to build and complete go-to-market plans
• Evangelizing the use of NVIDIA's platform, products and technologies to customers and partners
• Ability to travel as needed

Senior Account Manager – Telecom, MSO, Satellite, Cloud Providers

Security Engineer

• Understand, modify, and improve GCC, LLVM, and NVIDIA proprietary compilers with respect to code hardening and security
• Address vulnerabilities by crafting countermeasures as well as implementing common industry solutions
• Review, coordinate, and implement security solutions
• Analyze source and assembly code for vulnerabilities
• Work with global compiler, hardware and application teams to oversee improvements and problem resolutions

Software Security Engineer

• Completing all aspects of demand creation, co-selling, forecasting, sales leadership, training, and education for end user customers, OEMs, and partners.
• Grow revenue and market share for NVIDIA Data Center products in assigned territory.
• Be the key point of contact and relationship owner for a defined set of customers, agencies, and surrounding ecosystem.
• Build key accounts into strategic partners, and drive sustaining revenue.
• Collaborate with OEMs, GSIs, NPNs, and research partners to develop and execute go-to-market strategies for promoting the growth and adoption of the NVIDIA product family, both Software and Hardware, in your assigned accounts.
• Define, drive, and communicate product strategy for products and features specific to your customer's needs back into the Data Center Business Unit.
• Ability to travel as business requirements require.

Supercomputing Account Manager, Public Sector

Content Marketing Manager

• As a key member of the Content Team, actively build the next generation of vital systems.
• Solve complex challenges by applying problem-solving skills in a constantly evolving gaming environment.
• Drive system excellence by combining expertise in development, testing, and operations to maintain a highly-available, fault-tolerant system.
• Deliver world-class gaming by playing a direct role in making top-tier games and other content instantly accessible to customers on the GeForce NOW service.

Content Engineer

• Leading the developer experience and API roadmap for Infrastructure ISVs
• Collaborating with engineering teams to build multi-tenancy features, telemetry, and metering tools
• Orchestrating the creation of standardized, pre-validated 'Blueprints' that demonstrate performance and cost-efficiency of ISV software
• Identifying strategic opportunities in the AI software stack