NVIDIA

Engineering Manager

• Lead, mentor, and scale a high-performing engineering team focused on deep learning inference and GPU-accelerated software
• Guide the strategy, roadmap, and execution of NVIDIA's OSS inference frameworks engineering
• Partner with internal compiler, libraries, and research teams to deliver end-to-end optimized inference pipelines across NVIDIA accelerators
• Oversee performance tuning, profiling, and optimization of large-scale models for LLM, multimodal, and generative AI applications
• Guide engineers in adopting best practices for CUDA, Triton, CUTLASS, and multi-GPU communications (NIXL, NCCL, NVSHMEM)
• Represent the team in roadmap and planning discussions, ensuring alignment with NVIDIA’s broader AI and software strategies
• Foster a culture of technical excellence, open collaboration, and continuous innovation

Engineering Manager, Deep Learning Inference

Product Marketing

• Take a leadership role in defining product launch strategy and delivering go-to-market plans
• Be the most passionate advocate for your product by energizing sales, channel partners, and customers
• Bring ideas to life through crisp, clear marketing content
• Deliver ideas clearly with confidence using slides, whiteboards, and other creative approaches, both internally and to cloud partner sales and marketing teams to articulate the accelerated computing value proposition
• Implement marketing plans by tapping into product management, marketing teams, campaign marketing, and engineering

Senior Product Marketing Manager

Account Manager

• Engage with leading startups focusing on platform adoption, co-selling opportunities and go-to-market initiatives
• Scout, identify, and recruit top Public Sector Tech, Energy, and CAE (computer-aided engineering) startups to join NVIDIA Inception program
• Expand the NVIDIA Inception program ecosystem by aligning with leading research labs, venture capital firms, government agencies, and industry software vendors (ISVs)
• Collaborate with developer relations managers and account managers to develop strategies and resources that provide full support for startups and execute go-to-market activations with cross-functional teams
• Report on data-driven key business metrics to show impact on startup ecosystems
• Generate reports on relevant trends and perform market analysis

Inception Partner Manager – Public Sector, Energy, CAE

Architect

• Define the multi-generation strategy for application scaling across DRAM, NVLink, C2C, compute, and the supporting software stack.
• Translate the behavior of important AI, HPC, and accelerated computing applications into architectural requirements, performance targets, and investment priorities.
• Build a clear view of how bottlenecks shift as workloads scale across dies, GPUs, nodes, model sizes, data sets, and communication patterns.
• Evaluate system-level trade-offs across bandwidth, latency, capacity, topology, coherence, power, area, cost, programmability, and resiliency.
• Establish common workload scenarios, scaling metrics, models, and decision frameworks.
• Identify architectural discontinuities and emerging technology opportunities.

Distinguished Engineer – End-to-End Scaling Performance Architecture

Technical Program Manager

• Lead multi-functional programs across training frameworks, evaluation environments, agent and model runtimes, datasets, verifiers, and distributed training infrastructure.
• Partner with AI researchers, engineering leaders, product, infrastructure, and QA teams to define roadmaps, achievements, release plans, and measurable success criteria.
• Coordinate large-scale RL training and evaluation experiments, including handling GPU resources, dependency tracking, run scheduling, results reporting, release readiness, technical decisions, integration plans, and program updates.

Senior Technical Program Manager, GenAI and Models

• Lead AI initiatives spanning research, software, hardware, infrastructure, product, quality, security, legal, operations, marketing, and developer relations.
• Build roadmaps, achievements, ownership models, governance plans, risk tracking, and success metrics.
• Partner with technical teams to align model development, training, inference, evaluation, GPU capacity, and production deployment.
• Support architecture and integration decisions while resolving cross-team dependencies.
• Share clear updates with leaders on progress, tradeoffs, risks, and recommendations.

Senior Technical Program Manager, Deep Learning Initiatives

Data Scientist

• Lead positioning, messaging and launches for key data processing products
• Capture practitioner feedback and test messaging through community activities such as live-streams, hackathons and meetups
• Carry out ecosystem analysis to guide our positioning and assist campaigns that convey our key messages
• Develop technical content including blogs and videos to support data engineers in using NVIDIA’s SDKs
• Develop presentations aimed at educating industry and business analysts and PR on our positioning and value proposition
• Support market introduction for NVIDIA hardware platforms for data processing as part of cross-functional teams
• Interact directly with the data engineer and database community and showcase key technologies at events

Senior Product Marketing Manager – Data Processing

Systems Engineer

• Diagnosing GPU and CPU performance bottlenecks in Vulkan and Proton titles
• Identifying changes to API usage to improve performance and communicating via appropriate channels with third-party developers
• Implementing driver performance improvements and resolving driver defects
• Collaborating with engineers on the team and across NVIDIA
• Developing a driver that leads the industry in quality and performance

Senior System Software Engineer, Vulkan Performance

QA Automation Engineer

• Lead the design and development of infrastructure, automation frameworks, and internal engineering tools.
• Build scalable services, APIs, dashboards, workflow engines, and integrations that improve developer efficiency and operational visibility.
• Develop LLM-based workflows for triage, summarization, code and log analysis, test workflow assistance, report generation, and knowledge retrieval.
• Integrate tooling with CI/CD systems, source control, issue tracking, test infrastructure, dashboards, and internal engineering services.
• Define architecture, coding standards, evaluation methods, and reliability practices for automation and LLM-enabled systems.
• Mentor engineers, review designs, and provide technical leadership across infrastructure and tooling projects.

Senior Software Engineer – Infrastructure and Tooling Lead, Automation

Full-stack Engineer

• Owning the eval flywheel's strategy and architecture: how road and simulation driving data becomes curated golden datasets, how metrics are measured against them (precision/recall), and how those results earn lasting trust with the teams that depend on them.
• Setting the standard for evaluation quality: golden dataset curation, versioning, and health; metric performance measurement; and release processes that keep results dependable as the system evolves.
• Building the tooling that helps our metric developers iterate quickly: self-serve dataset pipelines, metric performance measurement, and quality reporting used every day by the team and our partners.
• Partnering with senior engineers and leaders across test engineering, behavior planning, and infrastructure — setting expectations, working through trade-offs, and being the voice of evaluation quality in cross-team decisions.
• Working directly with AI model developers so evaluation iteration speed becomes an advantage for the whole program, including our push into learned, VLM-based evaluation.

Senior Software Engineer, Evaluation Flywheel – Autonomous Vehicles

Data Engineer

• Design, develop, and operate scalable backend services for customer profile, consent, personalization, campaign, and marketing platform capabilities.
• Build data-intensive services that integrate with document or NoSQL databases, relational databases, caching layers, search platforms, object storage, and messaging, pub-sub, or event-driven systems.
• Develop clean APIs, service-to-service integrations, authentication patterns, error handling, logging, caching, and reusable platform libraries.
• Contribute to customer data platform workflows, including audience activation, downstream system synchronization, campaign metadata, tracking, and data observability.
• Partner with marketing, product, analytics, data engineering, and AI platform teams to translate business needs into reliable technical solutions.
• Modernize existing platforms across database models, identity systems, profile services, consent workflows, and operational tooling.
• Apply AI-assisted engineering practices while maintaining strong ownership of architecture, testing, security, code quality, and production readiness.
• Improve reliability through observability, alerting, automation, anomaly detection, and practical incident prevention.

Senior Software Engineer, Customer Data and Marketing AI

Sales

• Own and drive Federal opportunities from prospecting through close across key agencies and system integrators in the broader Federal ecosystem
• Engage technical and programmatic partners across Federal SIs, DoD, IC, and civilian agencies
• Assess requirements and explain how NVIDIA Enterprise Platforms address AI, HPC, and visual computing mission needs
• Evangelize NVIDIA solutions for AI, high-performance computing, and graphical rendering with large government system integrators and commercial accounts that support Federal missions
• Collaborate alongside NVIDIA sales groups and ecosystem partners to progress opportunities from proof-of-concept and pilots through successful production deployment and deal closure
• Relay Federal customer requirements and deployment gaps to NVIDIA product teams to influence roadmap prioritization
• Partner closely with NVIDIA product groups and key collaborators within the ecosystem to build solutions, define reference architectures, and engage lighthouse accounts in the Federal space

Senior Federal Sales Specialist, Enterprise Platforms

Mechanical Engineer

• Work with world-class engineers to design and implement VLSI tools for silicon and substrate design
• Develop applications to enable project engineers with an emphasis on maintainability and ease of use
• Develop flows/tools and methodologies to construct, analyze, and validate package designs
• Optimize the daily workflows of the world's top package designers

Package Design Methodology Engineer

• Work with world-class interposer engineers to design and develop VLSI flows and methodologies for interposer design
• Develop applications to enable project engineers with an emphasis on maintainability and ease of use
• Develop flows/tools and methodologies to construct, analyze, and validate interposer designs
• Optimize the daily workflows of the world's top interposer designers

Interposer Automation Engineer

Cloud Engineer

• Design, build and implement SDKs and CLIs to interact with Cloud GPU Services
• Engage with partners, backend engineers and cross-functional teams around the globe to define requirements and implement solutions and improvements of new/existing products
• Help drive the underlying technology stack and the implementation methodology
• Ensure high-quality code through unit testing and integration testing
• Drive performance tuning, usability improvements and test automation
• Support, maintain and document software functionality