NVIDIA

QA Engineer

• Collaborate with CEMs to ensure quality standards are maintained and improved.
• Conduct CEM audits and assessments to evaluate their quality systems and processes.
• Develop and implement quality control plans and procedures for supplier products.
• Work closely with the procurement and engineering teams to resolve any supplier-related issues.
• Monitor supplier performance and provide feedback to drive continuous improvement.
• Lead root cause analysis and corrective action initiatives for supplier quality issues.
• Ensure compliance with industry standards and regulatory requirements.
• Well get hold of process and quality guideline and related documents for supplier quality management.
• Maintain accurate documentation and records of supplier quality activities.

Senior Supplier Quality Engineer

Manager

• Leading and developing existing inventory and materials management staff, ensuring consistent training, compliance to standardized processes, tools, and reporting across regions and driving continuous improvement.
• Material planning to support existing infrastructure, including Grace Blackwell and Vera Rubin product lines.
• Strategically position and size materials across infrastructure, including monitoring consumption, supply chain variability, material changes, and inventory accuracy.
• Ensuring robust media security, chain-of-custody, for hardware movements.

Manager, Data Center Infrastructure Materials

Technical Account Manager

• Work with NVIDIA enterprise customers to resolve sophisticated technical issues
• Own and resolve customer issues during installation, operation, maintenance
• Collaborate with internal teams for support processes and improvements

Technical Account Manager – HPC

• Handle and lead all aspects of the factory quality onsite of manufacturers, including NPI and mass production with cross function teams.
• Ensure manufacturers stay in sync with quality requirements of NVIDIA products.
• Conduct regular supplier audits to assess compliance with quality standards and identify areas for improvement.
• Lead and facilitate problem-solving and root cause analysis activities to address quality issues with manufacturers.
• Establish and maintain supplier performance metrics and scorecards to track and supervise supplier quality performance.
• Drive continuous improvement initiatives with suppliers, implementing process improvements and collaborating on corrective actions.
• Work closely with multi-functional teams, including Engineering, Procurement, and Operations, to ensure effective supplier quality management.

AI Research Scientist

• Propose and implement engineering solutions to ensure delivery of functional, reliable, secure, and performance-optimal GPU clusters to internal researchers.
• Design, develop and maintain engineering solutions to understand the pain points of validating, monitoring and operating GPU clusters at scale.
• Research in traditional AIOps and the emerging Agentic AI, and leverage it to further reduce the operation toil.
• Participate in on-call support for systems, platforms built and owned by the team.

Senior Software Engineer – AI Research Clusters

Developer Relations

• Build and maintain deep technical expertise in autonomous drone mission workloads
• Embed with federal autonomy ISVs, drone OEMs, and prime contractors to architect, prototype, and integrate the NVIDIA software stack into flight-ready autonomy pipelines
• Lead partner engineering teams through onboarding and integration
• Deliver reference architectures, optimized perception and planning pipelines, sample code, and production-grade autonomy workflows
• Observe the autonomy ecosystem to spot new opportunities in collaborative combat aircraft, loitering munitions, counter-UAS, ISR, and human-machine teaming
• Provide insights to NVIDIA engineering and product teams to guide roadmaps for Jetson Thor, Isaac, and Holoscan
• Engage senior technical leaders—including Chief Architects, CTOs, and autonomy platform leads—across the Aerospace & Defense sector
• Run technical workshops, hackathons, and hands-on enablement programs that rapidly onboard autonomy engineers to the NVIDIA stack

Developer Relations Manager – Federal Government

• Establish AlpaSim and AlpaDreams as the open-source standard for neural simulation in AV, and scale the team and community to get there.
• Integrate the most recent findings in neural rendering, simulation, and learning into a modular architecture that allows for quick investigation of this field.
• Own product and engineering excellence — performance, scalability, reliability, developer experience, CI/CD, release management.
• Partner with research teams to translate breakthroughs into production-ready platform capabilities.
• Lead the research-to-production pipeline: transform delicate prototypes into reliable tools that developers can rely on.

Senior Manager, AlpaSim, AlpaDreams Production

Engineer

• Work on custom CEF and Chromium code for NVIDIA products with focus on performance, reliability, cross-platform compatibility, and security
• Define and Upstream parts of that work to share it with the rest of the community, when applicable
• Maintaining and improving related CI/CD, patching infrastructure, and improving it to take the latest changes from upstream more quickly
• Define, review, and improve quality, reliability, and performance indicators for the applications
• Review code and designs across the team and contribute actively to the evolving team methodologies

Principal Engineer, Chromium, CEF – GeForce NOW Client Platforms

Backend Engineer

• Understand, modify, and improve an NVIDIA proprietary GPU compiler backend written in C++
• Design and develop new register allocation compiler passes and optimizations to produce best-in-class, robust, supportable compiler and tools
• Work with global compiler, hardware and application teams to oversee improvements and problem resolutions
• Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through functional languages

Senior Compiler Engineer – Backend

Full-stack Engineer

• Architect Agentic Systems: Lead the design and implementation of sophisticated coding agents and agentic platforms capable of multi-step reasoning, self-correction, and autonomous code generation.
• Scale Distributed Systems: Build and maintain high-performance, large-scale production systems that handle the compute-intensive nature of agentic workflows and AI evaluation.
• Develop Evaluation Frameworks: Create and implement rigorous AI evaluation methodologies to measure the accuracy, safety, and efficiency of generated code and agentic logic.
• Optimize for Performance: Collaborate with hardware and software teams to ensure agent-generated code and the underlying platforms are optimized for the latest NVIDIA GPU architectures.
• Establish Engineering Standards: Drive best practices for code quality, testing, and deployment within the agentic AI ecosystem to ensure reliable, production-grade output.

Senior Software Engineer – Agentic AI

Solutions Engineer

• Set up, adjust, and verify AI factory environments across multi-GPU and multi-node Linux clusters.
• Ensure configurations align with guidelines for NCCL, collectives, and distributed training frameworks.
• Own the execution of key AI/LLM benchmarks, including setup, orchestration, result collection, and analysis.
• Investigate and resolve issues when training jobs or benchmarks fail, hang, or underperform.
• Build and improve observability for AI factories (metrics, logs, traces, dashboards) to understand workload behavior and system health.
• Develop automation (Python, Shell) for running benchmarks, collecting results, and performing regression checks.
• Examine communication patterns and NCCL usage for AI/LLM workloads, concentrating on collectives such as AllReduce and AllToAll.
• Recommend changes to job configuration, parallelism strategies, and cluster settings to improve throughput, latency, and scaling efficiency.
• Work closely with hardware, software, networking, datacenter, and product teams to prepare AI factories for customer use.
• Contribute to documentation, guidelines, and readiness collateral that support internal collaborators and customer-facing teams.

Senior Solutions Architect – AI Factory Deployment

• Build, maintain, and improve CI infrastructure that supports development, verification, and release of NVIDIA’s deep learning compiler stacks across GPU and accelerator environments
• Improve CI reliability and signal quality by reducing flakes, improving reproducibility, strengthening diagnostics, and making correctness and performance failures easier to understand and act on
• Apply automation, AI, and agent-based workflows to reduce manual CI operations, speed up failure triage, and improve developer efficiency
• Build reusable and self-service CI platforms that support multiple products, projects, model suites, hardware targets, and software configurations while partnering closely with compiler, infrastructure, and release teams

Senior Software Engineer – Deep Learning Compiler CI Infrastructure

• Design and build systems to reason about correctness in deep learning compilers
• Work with deep learning compiler and architecture teams to validate optimizations
• Engineer test generation systems that use deep learning solutions to drive testing
• Define and improve how we measure and guarantee functional quality and performance

Senior Deep Learning Compiler Verification Engineer

Data Engineer

• Own and drive end-to-end delivery of large-scale data infrastructure programs (ex: data lake, data platforms, pipelines, etc)
• Partner with Hardware engineering and data engineering teams to define roadmaps, scope, and technical requirements
• Translate ambiguous business needs into structured plans with clear milestones, risks, and dependencies
• Manage cross-team coordination, program governance, status tracking, reporting, and stakeholder communication
• Identify and mitigate risks, resolve blockers, and drive timely decisions across all initiatives
• Improve operational efficiency by introducing scalable processes, tools, and best practices
• Ensure reliability, scalability, performance, data quality, observability, and governance standards are embedded in all initiatives
• Drive post-launch evaluations, retrospectives, and continuous improvement

Senior Technical Program Manager, Data Platform

Account Manager

• Lead customer engagement and business development activity with a major CSP organizations
• Develop strategic relationships with R&D teams for customers' software needs
• Partner with technical teams on GPU application acceleration
• Be the link between product team and customer for roadmap updates and tech communications

Senior Supplier Quality Engineer

Manager, Data Center Infrastructure Materials

Technical Account Manager – HPC

Senior Supplier Quality Engineer

Senior Software Engineer – AI Research Clusters

Developer Relations Manager – Federal Government

Senior Manager, AlpaSim, AlpaDreams Production

Principal Engineer, Chromium, CEF – GeForce NOW Client Platforms

Senior Compiler Engineer – Backend

Senior Software Engineer – Agentic AI

Senior Solutions Architect – AI Factory Deployment

Senior Software Engineer – Deep Learning Compiler CI Infrastructure

Senior Deep Learning Compiler Verification Engineer

Senior Technical Program Manager, Data Platform

Strategic Account Manager – CSP