NVIDIA

Manager

• Lead a team of engineers and provide technical guidance to the team of highly skilled engineers.
• Empower the team members to excel and increase team productivity.
• Lead the design and implementation of new features in the NVOS (NVIDIA switch OS).
• Drive and facilitate the planning, scheduling, and execution of the project and activities of the team
• Collaborate with architecture and different software design teams as part of the software development lifecycle.
• Support internal and external customers for any NVOS related items.
• Gain a deep understanding of networking technology, system debugging, and stacks, as well as the SW/FW relationship.
• Innovate! Bring NVIDIA’s Networking products to shine in the customer’s view

Software Manager – NVLINK

• Lead operational audits to assess the effectiveness of supply chain management, third party supplier controls, security practices, and compliance measures.
• Manage end-to-end lifecycle audit projects from scoping, planning, fieldwork, and reporting, prioritizing high-impact risks, and delivering actionable insights.
• Design audit testing approaches using advanced data analytics to drive data accuracy and integrity.
• Lead and coordinate country-level audits for key APAC locations, acting as the primary Internal Audit contact for local management.
• Communicate strategic findings and recommendations with clear, influential reporting that resonates with senior leadership.
• Mentor and develop audit team members to deepen their expertise in supply chain, facilities, and regional APAC related auditing.
• Ensure all audit work products meet the highest standards, consistent with regulatory and professional requirements.
• Collaborate closely with Supply Chain, Finance, and Facilities teams to provide comprehensive coverage on operational and third-party risks.
• Travel up to 10% domestically and internationally.

Manager, Internal Audit

Backend Engineer

• Scope and build tools, microservices, workflows, and distributed applications to accelerate data mining and AI training.
• Design and implement solutions for streaming, resilience, logging, security, authentication, workflow orchestration, and data management.
• Deploy AI models.
• Design and develop Retrieval-Augmented Generation (RAG) workflows enabling hybrid and agentic patterns.
• Analyze and operationalize complex distributed systems for speed-of-light performance.

Senior Data Backend Engineer

Engineer

• Responsible for creation of "state of the art" UVM based verification test benches and methodologies to verify complex IP's and Sub-systems.
• Work on System level verification using C/C++.
• Architect the testbenches and craft verification environment using UVM methodology.
• Define test plans, tests and verification infrastructure for modules, clusters and systems.
• Build efficient and reusable bus functional models, monitors, checkers and scoreboards.
• Implement functional coverage and own verification closure.
• Work with architects, designers, FPGA and post-silicon teams to ensure that your unit is robust.

Verification Engineer – Hardware

Full-stack Engineer

• Implementing and optimizing high-performance Metropolis Vision AI pipelines for real-time and streaming scenarios using computer vision and deep learning models.
• Developing and refining large-scale distributed services responsible for processing video, image, and 3D data in both edge and cloud settings.
• Contributing to multi-modal perception capabilities that combine 2D, 3D, and temporal information to understand complex real-world scenes.
• Using simulation and synthetic data tools to build, test, and validate perception algorithms at scale.
• Profiling and tuning GPU-accelerated inference pipelines to meet strict latency, efficiency, and reliability targets.
• Collaborating with partner teams across product, research, and platform to translate requirements into clear technical builds and robust implementations.
• Participating in technical reviews and contributing to guidelines for code quality and testing.

Senior Software Engineer – Metropolis Vision AI

• Implementing high-performance Metropolis Vision AI pipelines for real-time and streaming scenarios using computer vision and deep learning models.
• Developing large-scale distributed services responsible for processing video, image, and 3D data in both edge and cloud settings.
• Assisting to multi-modal perception capabilities that combine 2D, 3D, and temporal information to understand complex real-world scenes.
• Using simulation and synthetic data tools to build, test, and validate perception algorithms at scale.
• Profiling GPU-accelerated inference pipelines to meet strict latency, efficiency, and reliability targets.
• Collaborating with partner teams to implement technical builds.
• Participating in technical reviews and contributing to guidelines for code quality and testing.

Software Engineer, Vision AI

DevOps Engineer

• Work in a team of DevOps engineers supporting multiple software projects in the data science and AI domain, many of them open source
• Manage cutting-edge hardware and help inform purchasing decisions for the team
• Collaborate with build engineers, developers, and management to ensure the delivery of high-quality software
• Develop and modernize packages, such as streamlined Python wheels, for RAPIDS data science libraries
• Design and maintain container build processes
• Take a hands-on approach working with engineers on the team to implement DevOps best practices
• Execute on a range of DevOps initiatives including CI/CD, observability, security/legal compliance, and SysAdmin tasks
• Operate and maintain our infrastructure and development processes

Senior Engineer – Build and DevOps

Cloud Engineer

• Develop and lead the sales strategy for hyperscaler and cloud partners to support adoption of NVIDIA platforms across enterprise and AI workloads.
• Mentor, empower, and grow a high-performing team passionate about long-term customer success and balanced growth.
• Build and deepen relationships with executives, customers, and partners to identify new opportunities and develop shared value.
• Collaborate with product, engineering, and marketing teams to align solutions with customer needs and emerging industry trends.
• Provide thoughtful, reliable forecasts; identify market opportunities; and share insights that advise strategic direction.
• Represent NVIDIA at industry events and executive discussions, highlighting our leadership in accelerated computing and AI.
• Cultivate an inclusive culture dedicated to growth that encourages innovation, teamwork, and operational excellence.

Director, Sales Business Development – Cloud Service Provider

Product Marketing

• Develop a Global channel GTM partnership with related strategies and goals that aligns with NVIDIA Enterprise strategy and Lenovo Partner strengths
• Align closely with the NVIDIA extended team partnering with Lenovo globally
• Drive initiatives with and through the Lenovo partner ecosystem
• Gain strategic alignment with Channel leadership & resources and influence their plans & investments w/ the partner ecosystem to proliferate NVIDIA platforms through them
• Develop a trusted advisor relationship with Lenovo partner leadership
• Plan regular business reviews, Executive Business Reviews to help update & keep them current on the latest NVIDIA trends, technologies and messaging
• Create a closed loop system that clearly identifies progress against key outcomes
• Identify & align with Lenovo partner leaders/teams on a focused set of partners & execute joint programs to drive pipeline, and incremental sales
• Work with Lenovo & NVIDIA cross functional teams to produce executable plans, with the ability to use joint investments that improve value for NVIDIA via incremental pipeline & revenue
• Identify enablement needs, align resources and engage with the Field Sales teams at channel partners and ensure AI capability readiness through AI Advisors, Roadshows, Webinars, Virtual Events, etc.

Global GTM Manager

• Develop and verify GPU features from initial design through deployment, collaborating globally with hardware and software teams to deliver world-class products
• Develop and lead the integration of complex system software components, collaborating across hardware and software teams to deliver robust, high-performance GPU and embedded system solutions
• Help design and implement features for our GPUs; working with software and hardware engineering teams
• Evaluate, recommend, and develop methodologies and tools to measure and enhance security and quality of embedded and system software
• Identify vulnerabilities in our production kernel and embedded software, building proof of concepts, and working with teams to address them
• Have opportunities to collaborate and communicate effectively with teams from all around the globe

System Software Engineer, GPU Kernel Driver

Product Manager

• Define, own, and drive the strategy enabling the world’s enterprises to adopt accelerated query engines powered by NVIDIA’s platform
• Engage deeply with customers, ISVs, storage partners, and CSPs to find opportunities to improve their experience, owning the voice of the customer and incorporating insights into hardware and software roadmaps and priorities
• Collaboratively develop and lead enterprise go-to-market motions, working with a cross-functional team on asset creation, market research, positioning, enablement, etc.
• Track and act on important measures for adoption, engagement, and customer success to continuously improve our value proposition and developer experience
• Serve as the point person for presenting vision, opportunities, and progress, setting expectations and managing internal and external collaborators

Senior Product Manager – Structured Data Query Engines

• Design, build, and optimize containerized inference execution for the latest 3D VLMs from NVIDIA, turning research work into production-grade, highly optimized software (NIMs, NVIDIA Inference Microservices)
• Develop benchmarks to validate the models accuracy and performance (latency, throughput, scalability)
• Release and maintain the models and their pipelines throughout their lifecycle (bug fixes, security patches)
• Contribute VLM-related features to Open-Source projects like vLLM
• Collaborate closely with Research and Product teams and influence our common roadmaps

Senior Software Engineer – VLM Microservices, Neural Reconstruction

Architect

• Architecting and maintaining custom profiling frameworks that provide a unified view of execution across CPU (multi-core/multi-socket) and GPU (multi-node/NVLink) environments.
• Conducting deep-dive benchmarking of EDA applications to characterize memory access patterns, cache hit rates, and instruction-level parallelism.
• Using GPU profilers to detect GPU-side inefficiencies such as warp divergence, sub-optimal occupancy, and PCIe/NVLink bottlenecks.
• Developing tools to monitor and attribute high-watermark memory usage in multi-terabyte EDA builds, finding opportunities for data structure compression or smarter memory pooling.
• Developing predictive models to guide hardware procurement and cloud instance selection based on built gate-count and algorithmic complexity.

Senior Performance Architect – Heterogeneous Workload Optimization

Mechanical Engineer

• Analyze the architectural requirements, perform the trade-off analysis for implementation, and deliver high performance, area and power efficient RTL Blocks
• Craft micro-architecture specification, implement in high-quality RTL, and deliver a fully verified, synthesis and timing clean block
• Collaborate with chip architects, verification engineers, formal verification engineers, and SoC integration engineers in order to meet the goals of the block in a timely manner
• Identify potential IP solutions for specific use cases and assist in selecting, customizing and integrating the right IP solutions

Principal Digital Design Engineer

• Build NVIDIA's profile with government representatives and relevant groups
• Develop relationships with actors across the ecosystem, including policy organisations, think tanks, national and regional initiatives, research institutions, trade associations and industry partners
• Participate in the development of NVIDIA's government relations strategy in Europe and across EMEA
• Collaborate closely with wider NVIDIA teams, including sales, marketing, engineering and PR
• Plan, manage and undertake outreach to key internal and external stakeholders to achieve the team's objectives
• Build content, including internal and external messaging, to articulate NVIDIA’s corporate positions