NVIDIA

Full-stack Engineer

• Extend and maintain hardware abstraction layers and core system libraries used across the platform.
• Design and implement drivers, runtimes, and data movement/aggregation pipelines supporting workload execution.
• Build and maintain runtime interfaces for launching, monitoring, and managing workloads.
• Improve platform reliability through automation, error reporting, diagnostics, and operational tooling.
• Debug and resolve complex sequencing, initialization, and runtime issues across multi-component systems.
• Partner cross-functionally with hardware engineering, compiler teams, and data center operations to bring features from prototype to production.
• Support new platform bring-up and NPI (New Product Introduction) efforts for new boards and silicon.
• Contribute to engineering excellence through documentation, tooling improvements, code reviews, and knowledge sharing.

Senior Systems Software Engineer

• Collaborate with multi-functional teams to understand customer use cases and compose test strategies
• Carry out functional, integration, regression, and performance testing for software applications
• Identify, debug, and report software defects, inconsistencies, and other quality issues
• Develop and maintain test automation frameworks and scripts using Python and Bash
• Work with planning and tracking systems to manage the release progress and build release indicators
• Participate in code reviews and suggest improvements

System Software Engineer – Networking

Designer

• Verification for chip blocks/entities according to specifications under challenging constraints and with high orientation to performance
• Daily work involves acquaintance with all aspects of chip development: Design, Micro- Architecture, Firmware, Production, and Verification
• Engage in cutting-edge PCIe generation working on latest PCIe gen7

Senior Chip Design Verification Engineer

Solutions Engineer

• Assist in supporting industry accounts and driving research/influencing/new business in those accounts.
• Assist researchers/engineers on their GPU applications.
• Deliver technical projects, demos and client support tasks as directed by the Solution Architecture leadership team.
• Provide technical support for GPU system deployments.
• Be an industry thought leader on integrating NVIDIA technology into applications built on Deep Learning, High Performance Data Analytics, Robotics, Signal Processing and other key applications.
• Be an internal champion for Data Analytics, Machine Learning, and Cyber among the NVIDIA technical community.

Deep Learning Solution Architect

• Collaborating with front-end, back-end engineers as well as machine learning, deep learning experts.
• Creating human-in-the-loop and management applications.
• Working together with other excellent engineers to build and maintain the next generation services.
• Learn and create valuable features for end users and greatly improve NVIDIA autonomous driving product’s user experience.
• Identify areas to improve service resiliency through industry standard practices.
• Working with NVIDIA global teams to build and maintain the next generation system software for autonomous vehicles fleet including telemetry, cloud services, data processing workflow and much more.
• Explore and implement advanced algorithms to extract valuable insights from big data.
• Utilize modern frontend tech-stack to develop intuitive workflows and user-friendly applications.

Software Engineering Intern, Autonomous Vehicles

• Be responsible for the integration of SW components to switch operating system
• Define, develop and design a process for integration and customer issues
• Lead customer success activities, including feature development and customer engagement.
• Work with a continuous integration system, regression tools
• Be responsible for NVIDIA NVL, IB
• Innovate! Bring NVIDIA's networking products to shine in customer's view

Director, Software Engineering – NVlink Switch

Artificial Intelligence

• Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content Safety, ML Fairness
• Research and implement cutting-edge techniques for bias detection and mitigation in LLMs and systems
• Define and track key metrics for responsible LLM behavior and usage
• Collaborate with other engineers, data scientists, and researchers to develop and implement solutions to content safety and ML fairness challenges

AI Safety Scientist, Deep Learning

• Work closely with passionate engineers to design, develop, optimize, debug, unit test, document and maintain next-generation graphics and computing features for NVIDIA GPUs
• Collaborate with many internal teams (software, hardware, architecture, QA and OEM support), partners and customers to define new products and features, and resolve issues.

Senior System Software Engineer – GPU Virtualization

• Develop efficient infrastructure and tools for automating complex software processes
• Implement advanced test harnesses, benchmarking frameworks, and analytical tools to characterize and optimize the performance and efficiency of our software and hardware platforms
• Work with engineering teams to understand needs, define requirements, and deliver efficient solutions
• Set performance goals, monitor feedback, analyze data, and make continuous improvements for system reliability
• Contribute to defining technical strategies and roadmaps for our platform automation initiatives

Senior System Software Engineer, AI Data Platform

• Ensuring robust power integrity in physical design to optimize power delivery
• Design and optimize physical design solutions for power integrity
• Perform power integrity analysis and mitigation
• Collaborate with hardware and design teams on power delivery strategies
• Utilize tools and flow in advance technology to meet project development

Physical Design Engineer, Power Integrity

Sales

• Lead the AI Edge and Embedded business strategy for EMEA, identifying and accomplishing high-impact opportunities that drive market expansion and customer success.
• Strengthen and scale our partner network by encouraging collaboration across distributors, NPN partners, and direct OEM engagements to amplify NVIDIA’s reach and influence.
• Bring global initiatives to life across the region, tailoring product launches and marketing campaigns that resonate with customers and partners in EMEA.
• Grow and develop a world-class team, identifying opportunities for growth and attracting top-tier talent to support ambitious business goals.
• Build a culture of innovation, collaboration, and accountability — mentoring team members to excel and celebrating shared success.
• Be the voice of EMEA across NVIDIA’s global business units, ensuring regional strategies align seamlessly with global priorities and vertical market objectives.
• Lead with data-driven rigor to manage a robust business pipeline, ensuring predictable, scalable revenue growth.
• Track progress, share key metrics, and showcase major success stories that demonstrate how our technologies are redefining industries.

Senior Manager, Embedded Sales

Engineer

• Collaborate with Technical Package Lead and different design teams
• Implement high speed/density ASIC packages
• Perform substrate breakout patterns for ASIC packages
• Optimize package pinout incorporating system level trade-offs of pins assignment
• Help perform package routing, placement, stack-up, reference plane and power distribution using Cadence APD or SiP tool suite
• Propose layout design trade-offs to the Technical Package Lead for resolution and implementation
• Conduct design feasibility studies to evaluate the Package design goals for size, cost, and system performance
• Develop symbols and CAD library databases using Cadence APD design tools
• Develop methodologies to improve layout productivity

Senior Package Layout Engineer – Hardware

• Set the Strategy: Define the multi‑year technical strategy and roadmap
• Manage the Portfolio: Develop the operating model for NIM Factory
• Lead Leaders: Guide the NIM Factory engineering organization
• Accelerate Day-0 Model Delivery: Manage the factory systems and platform capabilities
• Establish the Operational Standard: Define and guide the full platform standards
• Own Reliability, Security, and Compliance Outcomes: Partner with SRE and security leadership
• Champion Open Source and Standards: Lead our upstream strategy and partnerships

Director, Software Engineering – NIM Factory

DevOps Engineer

• Develop and maintain CI/CD pipelines to automate the build, test, and deployment processes, and improve performance by addressing bottlenecks.
• Managing tools and enabling automations for redundant manual workflows via Gitlab, Jenkins, Terraform, etc
• Improve monitoring and observability mechanisms in all aspects of content services
• Optimise infrastructure for performance, reliability, and cost efficiency
• Collaborate with software engineering teams to streamline deployment processes and reduce operational overhead
• Participate in the on-call rotation and identify and resolve content-related service issues to ensure our systems operate flawlessly.

Senior DevOps Engineer

Developer Relations

• Serve as a trusted technical advisor to Inception AI-native startups, understanding their critical workloads and guiding technical enablement across the NVIDIA stack
• Partner with startups to integrate NVIDIA foundational models, SDKs, and frameworks, enabling co-innovation and the development of next-generation AI solutions
• Map, build, and expand a rich ecosystem of strategic startups to champion NVIDIA technologies, track ecosystem trends, and multiply growth opportunities
• Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive startup engagement and optimize partner adoption strategies
• Work closely with startup engineering teams, technical leaders, and decision-makers to unpack goals, tackle technical challenges, and endorse protocols for successful integrations
• Advocate for the startup's technical needs and funnel feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps