NVIDIA

Software Engineer

• Research and develop techniques to accelerate large scale applications running on NVIDIA’s family of advanced CPU platforms.
• Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex database and data analytics workloads to ensure the best possible performance on modern hardware architecture focused on CPU performance.
• Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community.
• Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA

Senior Developer Technology Engineer, CPU Performance

Manager

• Establish and maintain effective working relationships with all collaborators
• Understand the high and low-level technical architecture and be able to facilitate debate and drive decisions on appropriate solutions
• Ensure that company requirements are produced to standard promptly.
• Develop & present comprehensive technical solutions to customers
• Communicate and hold conference calls with internal teams, customers, and partners
• Lead complex installations
• Report and advance all observed problems to proper operational partner concern points
• Handle the communication of project changes and release notices to customers
• Document technical and operational procedures clearly and concisely
• Be willing to work irregular hours as required

Senior Project Delivery Manager – NVIS

Engineer

• Implement language and multimodal model inference as part of NVIDIA Inference Microservices (NIMs).
• Contribute new features, fix bugs and deliver production code to TRT-LLM, NVIDIA’s open-source inference serving library.
• Profile and analyze bottlenecks across the full inference stack to push the boundaries of inference performance.
• Benchmark state-of-the-art offerings in various DL models inference and perform competitive analysis for NVIDIA SW/HW stack.
• Collaborate heavily with other SW/HW co-design teams to enable the creation of the next generation of AI-powered services.

Senior DL Algorithms Engineer – Inference Performance

Artificial Intelligence

• Primary responsibilities will include deploying, managing, and maintaining AI infrastructure for new and existing customers.
• Be the domain expert with customers during planning calls through implementation.
• Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world!
• Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

AI Compute Engineer

• Perform advanced Static Timing Analysis (STA) at chiplet and FC level.
• Running Prime Time, review and debug timing paths, understand constraints, sdc generation, timing ecos generation.
• Identify convergence risks and work closely with physical design, RTL and DFT teams, ensuring convergence throughout various project stages.
• Responsible for a full timing closer and quality approval from pre-layout STA model through signoff.

Senior STA Engineer, Sub-Chip

Sales Development Rep

• Build a pipeline of new opportunities for the sales group at NVIDIA by identifying new prospects, qualifying the lead, and converting the lead to opportunity status
• Implement demand generation programs for install base and new business opportunities
• Maintain a high-volume of daily activity with prospects by phone, email, and LinkedIn messaging.
• Seek net new opportunities by calling leads from marketing activities including campaigns, events, webinars, referrals, and website inquiries.
• Navigate social media and professional network websites for prospecting, as well as use Salesforce.com to manage all lead activity and opportunity creation
• Collaboration directly with the NVIDIA Marketing team, as well as Field, Inside, and Channel Sales
• Have an understanding and clear delivery of NVIDIA value proposition, key features, product messages, and positioning.

Sales Development Specialist

Security Engineer

• Design and implement security solutions throughout all layers from high-level applications, OS, and drivers to device firmware.
• Work on novel security projects involving both hardware and software.
• Provide insight and technical guidance and collaborate with peers from across the company, including architecture, marketing, and engineering departments.
• Collaborate with NVIDIA partners and customers.
• Research, build, develop, and implement architecture solutions for security features in networking products.
• Architectural modeling and validation, following standards bodies.
• Work with customers and partners to identify and address security issues and threats.

Security Research Architect

• Collaborate with some of the most innovative, leading AAA developers throughout the world to optimize GPU and system performance, to ensure the fastest and most fluid gameplay with beautiful path traced neural rendering and complex AI behaviors.
• Develop, profile, optimize, and tune neural rendering algorithms and AI models to make the most of available computing resources.
• Collaborate with the architecture and driver teams at NVIDIA in ensuring the best possible experience on current generation hardware, and on determining trends and features for next generation architectures.
• Play with the latest GPU technology to develop new techniques using GPUs, build technical demos, write whitepapers and present your work at conferences.

Principal Developer Technology Engineer

• Own the BFB validation architecture and strategy — define coverage, qualification criteria, and release gates for full DOCA bundle deliveries.
• Design, Develop and Automate system-level tests of installation, upgrade/downgrade, recovery, and multi-version compatibility across BlueField platforms.
• Validate full-stack integration of firmware, boot flows, OS services, drivers, networking stack, and DOCA runtime integration.
• Drive deep cross-layer debugging across firmware, kernel, networking, and user-space to identify root cause and influence long-term fixes.
• Act as technical focal point for release readiness, providing risk assessment, regression health analysis, and clear execution signals.
• Continuously elevate validation methodology, improving scalability, coverage, execution efficiency, and failure triage workflows.

Senior Software Verification Engineer, DOCA

Data Engineer

• Build flexible data ingestion and transformation frameworks that can easily handle evolving schemas and changing data contracts
• Develop and maintain ETL/ELT workflows for refining, enriching, and classifying raw data into analytics-ready form
• Collaborate with R&D, hardware, DevOps, ML engineers, data scientists and performance analysts to ensure accurate data collection from embedded systems, firmware, and performance tools
• Automate schema detection, versioning, and validation to ensure smooth evolution of data structures over time
• Maintain data quality and reliability standards, including tagging, metadata management, and lineage tracking
• Enable self-service analytics by providing curated datasets, APIs, and Databricks notebooks

Senior Data Engineer, Network Clustering

Full-stack Engineer

• Play a pivotal role in designing and developing the verification infrastructure to ensure the reliability, functionality, and quality of NVIDIA DOCA™ SDK.
• Your expertise in creating robust and efficient verification systems will be instrumental in driving the success of our projects.

Senior Software Engineer, DOCA Verification

• Guide the design and implementation of a new LLVM-based backend JIT compiler targeting NVIDIA GPUs
• Design and develop new compiler passes and optimizations required to meet the high-performance and low compilation time requirements of the compiler
• Work with global compiler, hardware and application teams to oversee improvements and problem resolutions
• Apply and adapt the latest compiler technologies to produce premier, robust, supportable compilers and tools
• Get a chance to influence and work on new GPU architectures

Raytracing Compiler Engineer – Developer and Performance Technology

• In charge of state of the art Design for Test/ATPG flows and implementation
• Take full ATPG ownership end to end on a project, from Architecture & planning to pattern generation, verification and post Silicon bring up and diagnosis
• Inventing and maintaining automation flows that provide the short test time to production

Senior DFT ATPG Engineer

LLM Engineer

• Develop and maintain large-scale systems supporting critical use-cases including frontier model training for AI Infrastructure, driving reliability, operability, and scalability across global public and private clouds.
• Collaborate on tooling for HPC, GPU Training, and AI Model training workflows.
• Build tools and frameworks to improve observability, define actionable reliability metrics, and enable fast issue resolution, driving continuous improvement in system performance.
• Establish frameworks for operational maturity, lead sustainable incident response protocols, and conduct blameless postmortems to improve team efficiency and system resilience.
• Implement SRE fundamentals, including incident management, monitoring, and performance optimization, while designing automation tools to reduce manual processes and operational overhead.
• Work with engineering teams to deliver innovative solutions, uphold high standards for code and infrastructure, and contribute to hiring for a diverse, high-performing team.

Senior Systems Software Engineer, AI Infrastructure

• Work with software engineers and architects in system software, virtualization, graphics, compute, platform safety/security, sensor processing, and networking to decompose DriveOS requirements and align bottom-up designs into integrated solutions.
• As a technical leader, provide insight and technical direction to resolve issues, drive development processes, and to help improve our workflows and development methodology
• Using strong communication skills, build and drive architecture, analysis documents and communications to internal and/or external audiences about our technology.
• Collaborate with the major software and hardware stakeholders throughout NVIDIA to tackle system-level problems and influence NVIDIA SoC and GPU designs