NVIDIA

Platform Engineer

• Spearhead automation engineering initiatives to streamline and optimize deployment workflows.
• Manage, configure, deploy, and provision Kubernetes clusters at scale.
• Engineer novel solutions for cloud deployments, using innovative technologies and methodologies.
• Lead the design and implementation of CI/CD pipelines, ensuring a robust, automated, and efficient delivery process.
• Develop and implement security tooling to safeguard our cloud infrastructure and applications against threats.
• Architect solutions to improve the developer experience and streamline application delivery through GitOps.
• Develop Infrastructure as Code (IaC) modules and scripts to automate the provisioning and management of cloud resources.
• Decouple applications from infrastructure and abstract configuration to simplify microservice development.
• Engage with cross-functional teams to ensure seamless integration across all major cloud service providers.

Senior Platform Engineer

Full-stack Engineer

• Apply knowledge of debuggers, binary instrumentation and computer architecture to enhance existing compute debugger tools and libraries, and extend them to new use cases
• Develop compute debugger tools for GPUs running on Linux, Windows, and embedded operating systems
• Work with tools, compiler, architecture and driver teams to design, implement and verify new features in the compute debugger and CUDA Debugger API
• Work closely with internal and external partners including other peer organizations within NVIDIA
• Effectively estimate and prioritize tasks in order to create a realistic delivery schedule
• Write fast, effective, maintainable, reliable, and well-documented code
• Provide peer reviews to other engineers
• Document requirements and designs, and review documents with teams throughout NVIDIA
• Mentor junior engineers

Senior Debugger Software Engineer

• Part of the definition, build, development and testing of brand new professional and consumer Linux graphics software.
• Develop and maintain SW technologies targeted at enabling and supporting NVIDIA's GPU hardware on Linux based operating systems.
• Engineer high-performance Dynamic Binary Translation (DBT) solutions for native-speed x86-64 gaming on Linux/ARM64 platforms.
• Collaborate with worldwide internal teams, including software, hardware, architecture, and OEM support.

Senior Software Engineer – Linux Graphics

• Architect and drive the enterprise-wide strategy for cryptographic integrity and software supply chain security
• Own and build the implementation of a cloud-agnostic, hyper-scale signing and PKI infrastructure
• Define the architectural vision and governance for next-generation key management
• Engineer high-assurance cryptographic ceremonies and verifiable transparency logs
• Transform the internal developer experience by architecting self-service, globally distributed security platforms

System Software Engineer – Secure Cryptographic Services

Machine Learning Engineer

• Work with some of the brightest minds in a leading AI company to develop leading machine learning frameworks including NVIDIA PhysicsNeMo and ALCHEMI used by our academic and industry partners to accelerate scientific discovery and solve real world problems at scale
• Work with internal project teams to validate applications built using the framework across NVIDIA's products
• Stay up to date with the latest research and innovations in deep learning techniques, implement and experiment with new ideas to develop and enhance NVIDIA's deep learning technologies that couple physical simulations with AI/ML models

Senior Machine Learning Engineer – Chemistry, Materials Science

• Creating prototypes to evaluate and motivate extensions in programming models (MPI, OpenSHMEM, PGAS), new designs in runtimes, and new features in the network hardware.
• Research, design and implement features for open source HPC communication middleware (Open MPI, UCX, UCC), and Deep Learning frameworks such as TensorFlow and PyTorch.
• Work with hardware architects to define the future hardware relevant for scientific applications, Deep learning, and data-intensive workloads.
• Participating in and contributing to parallel programming interface specifications like MPI/OpenSHMEM.

HPC and AI Software Architecture Intern

QA Engineer

• Driving quality improvements through meticulous supplier assessments and audits
• Collaborating closely with suppliers to ensure compliance with NVIDIA's standards
• Developing and implementing supplier quality metrics
• Taking charge of root cause analysis and corrective action processes
• Working with multi-functional teams to resolve quality requirements
• Offering mentorship, training and support to suppliers

Senior Supplier Quality Engineer

Solutions Engineer

• Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers.
• Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations.
• Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning/deep learning models to ensure the best performance on current- and next-generation GPU architectures.
• Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues to drive success using NVIDIA technology.
• Facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction.
• Build collateral (notebooks/ blogs) applied to Finance industry use-cases such as ML/DL, recommender systems, GNN, monte-carlo simulations, Quantitative Finance, etc. by working closely with customers.

Senior Solutions Architect, Financial Services – Banking

Product Manager

• Collaborate with customers and NVIDIA partners in architecture, marketing, sales, and engineering to capture product feedback and build new user experiences and support the newest computing architectures
• Detail features and help plan future releases and the product roadmap in the team's product management system
• Collaborate closely with cross-functional teams to align and implement product strategies
• Lead integrations with third-party software to extend the product's capabilities

Software Product Manager – NVIDIA Base Command Manager

• Implement, validate, release and maintain highly-optimized reconstruction and rendering algorithms using CUDA and Slang.
• Optimize data processing pipelines for low latency and maximum throughput.
• Influence software architecture, validation strategy and technical roadmaps to ensure outstanding performance.

Senior System Software Engineer – Neural Graphics Performance

Developer Relations

• Serve as the "Pilot in Command" (PIC) for partners and guide their R&D roadmaps.
• Lead architecture reviews, feature mapping, and performance benchmarking with NEP engineers.
• Drive the "developer-to-deployment" lifecycle by crafting reference builds, integration guides, and runbooks.
• Discover new RAN workflows and recognize adoption challenges to direct the future of Aerial SDK and NIMs.
• Lead a multi-functional NVIDIA team to ensure partnership turning points are met.
• Represent joint technical positions in industry groups to unblock partner execution and promote AI-native telecommunications.

Global Account Manager – Developer Relations, AI-RAN, Aerial

• Implement, validate, release and maintain SDKs, APIs, libraries for Neural Reconstruction, including key Open Source projects like GSplat
• Influence software architecture, validation strategy and technical roadmaps to ensure outstanding usability for our developers across many fields, from research to large-scale production use

Senior System Software Engineer – Neural Graphics SDKs

Engineer

• Act as technical liaison for our technical teams.
• Project manage highly impactful large and small scale data center and lab projects.
• Participate in the installation, monitoring, maintenance, support, and optimization of all production server hardware.
• Contribute to the development of the global DC knowledge base.
• Lead teams to deploy new data center infrastructure, deliver server upgrades, integration, rebuild and other projects as required.
• Build plans to optimize power, cooling, and network resources.
• Support all DC teams to reduce potential risks to upcoming projects.
• Hunt for and resolve issues as well as analyze data looking for trends and systemic issues.
• Implement process improvements and develop a cutting edge operational environment.

Data Center Engineer

• Build real-time, high-load data collection services;
• Drive architectural decisions for shared infrastructure components: metrics, distributed tracing, and configuration management;
• Collaborate with multi-functional teams on integration points and API contracts;
• Ensure operational perfection: monitoring, and performance optimization.

Senior Software Engineer, Real-Time Data Platform

• You will be in charge of state of the art Design for Test/ATPG flows and implementation
• Take ATPG ownership on different DFT aspects of a project, Arch & planning, pattern generation, verification and post Silicon bring up and diagnosis.
• Inventing and maintaining automation flows that provide the short test time to production