NVIDIA

Full-stack Engineer

• Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software.
• Build compelling, data driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics and dashboards.
• Collaborate with machine learning engineers, infrastructure engineers and roboticists to develop novel solutions to open-ended problems.
• Work with the Planning & Control team to develop and drive software testing strategies.

Senior Software Engineer, Metrics and Evaluation – Autonomous Vehicles

Solutions Engineer

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

Senior Solutions Architect – AI Compute

Artificial Intelligence

• Deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments 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.

Senior AI Compute Engineer

Developer Relations

• Create fruitful technical engagements across the semiconductor design and manufacturing ecosystem
• Lead strategic relationships with key opinion leaders, top developers and ISVs, and influential researchers
• Inform NVIDIA's strategy for semiconductor manufacturers and ISVs
• Use your technical expertise to discover high impact problems
• Drive early adoption of new products and support launch and go-to-market activities

Senior Manager, Developer Relations – Semiconductor

• Guide system build initiatives encompassing research, composition, and development of RAN algorithms
• Integrate innovative strategies like AI/ML, Deep Learning, and Raytracing
• Enable realization of algorithms in a GPU accelerated system
• Assess design and implementation tradeoffs
• Collaborate with customers and ecosystem partners
• Support integration, system simulations, performance benchmarking, and optimizations

Senior Software Engineer – Aerial, Wireless RAN Algorithms Development

• Work with Sales, BD and CPM team to introduce NVIDIA technologies into assigned accounts and grow business accordingly.
• Lead the design, development, and optimization of Kubernetes-based infrastructure solutions for Agentic AI and Agentic RL workloads, addressing core challenges including massive concurrent sandbox scheduling, millisecond-level elasticity, secure isolation, and full-scenario interactive environment support.
• Collaborate closely with NVIDIA’s CSP partners (major cloud service providers in China) to understand their Agentic AI/RL business needs, provide professional K8s technical guidance, and tailor infrastructure solutions that align with NVIDIA’s accelerated computing technologies (such as NVIDIA AI Enterprise, GB200 platform, and NVCF).
• Optimize Kubernetes clusters to support high-throughput, low-latency Agentic RL training and inference workloads, including resource scheduling strategy optimization, GPU resource management, network and storage performance tuning, and solving bottlenecks in large-scale Pod creation and scheduling.
• Design and implement Agent Infra core components based on K8s, such as secure sandbox environments, interactive trajectory recording, checkpoint breakpoint replay, and full-link observability tools, to support the end-to-end lifecycle of Agentic AI/RL development and deployment.
• Work with cross-functional teams (NVIDIA’s R&D, solution architecture, and technical support teams) to promote the integration of K8s with NVIDIA’s software and hardware ecosystem, including NVIDIA Operators, Dynamo, Grove, and KAI Scheduler, to achieve optimal performance of Agentic workloads.
• Provide technical leadership in K8s and Agentic AI/RL Infra fields, guide junior engineers, and drive the continuous iteration and improvement of infrastructure solutions based on industry best practices and customer feedback.
• Stay abreast of the latest trends in Kubernetes, Agentic AI, Agentic RL, and cloud-native infrastructure, introduce advanced technologies and solutions into NVIDIA’s CSP ecosystem, and promote technological innovation and standardization.
• Participate in technical pre-sales support, solution demonstration, and technical training for CSP partners, helping partners master K8s-based Agentic AI/RL Infra construction and operation capabilities.

Senior Solutions Architect, CSP System

Security Engineer

• Lead a team of System Security Architects and provide technical guidance
• Own the security requirements and roadmaps for NVIDIA networking systems across multiple product lines
• Drive the planning, scheduling, and execution of security architecture and operations
• Collaborate across multiple organizations to ensure a secure product posture in HW, FW, and SW
• Translate customer needs and business directives into architectural and strategic technical directions
• Act as a domain expert in hyperscale system security, embedded systems, Root of Trust (ROT), and network security
• Collaborate with internal and external customers regarding system security architecture roadmap and requirements

Manager, Networking Systems Security Architecture

SDET

• Integrate ADAS functions and tune the software parameters to achieve the best customer experience
• Implement algorithmic improvements and solutions
• Drive the roll-out onto the fleet across dozens of carlines
• Install, troubleshoot, and operate software
• Understand the quality standards and functionality of brand-new features
• Align and report results to customers and the development organization
• Analyze and diagnose issues to help improve the product experience

Vehicle Test Engineer – ADAS

• Design and implement agentic AI workflows using LLM-based agents, tool calling, RAG patterns, and orchestration frameworks.
• Push the boundaries of what AI-assisted operations can achieve.
• Build robust integrations and automation pipelines across ServiceNow, identity management, monitoring platforms, and enterprise SaaS.
• Own the full stack from infrastructure to user facing tools.
• Triage and resolve Enterprise issues with a focus on automation and improving mitigation and resolution times.
• Manage and troubleshoot Enterprise scale collaboration, productivity, AI and Infrastructure systems.
• Trace and root cause complex, multi system failures. identify patterns in recurring tickets, and build automation or self-service solutions.
• Build and maintain runbooks, troubleshooting guides, and knowledge base articles that elevate team capabilities.
• Mentor team members on troubleshooting methodology and systems thinking.

Senior Staff Software Engineer – Agentic Automation

• Design and develop the next generation of acceleration for network drivers.
• Work closely with customers, understanding their products, solutions, and environments
• Daily work involves all aspects of development: Design, Architecture, Coding, Production, and Verification.

Software Developer – Networking

• Use your expertise in Python and C++ to develop NVOS features in an Agile methodology
• Owning and leading the development of major features end-to-end, through its’ entire life cycle
• Being actively hands-on in OS software coding and debugging
• Support customers integration with our NVLINK technology
• Collaborating with off-shore teams

Software Engineer, NVLINK

• Architect and develop high-performance diagnostic tools and frameworks using Python.
• Drive end-to-end development focusing on software that performs efficiently.
• Take charge of developing features that bridge the gap between complex hardware behaviors and software-level diagnostics.
• Partner with hardware, firmware, and driver teams to address real-world challenges.
• Own the full software development lifecycle of diagnostic features, from initial hardware specification to deployment.

Senior Software Engineer – Networking Platforms, Diagnostics Tools, Performance

Backend Engineer

• Design and implement new features to accelerate Network and Storage
• Work closely with open source communities, participate in the relevant working groups
• Work with different teams across NVIDIA
• Mentor members of the team, enabling them to deliver high-quality software

Senior Software Engineer, Golang, Kubernetes

QA Engineer

• Review arch design and requirements for new features
• Design and execute tests for the new features, as part of software GA releases
• Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by the R&D team, raise if not fixed
• Execute tests in different scopes: regression, performance, functional, security. report the progress of testing and provide summary reports of testing activity
• Define and build setups topologies for appropriate product coverage
• Writing automation infrastructure in multiple frameworks (Python, Perl)
• Developing sophisticated, stable, automation frameworks to increase efficiency, re-usability, and flexibility
• Enhancements & maintenance of each framework
• Schedule test runs, publish reports and analysis with detailed and specific bug reports for failures

QA Automation Engineer

Engineer

• Design and implement automated test flows and regression suites for EP SDK APIs and flows
• Analyze functional and code coverage to identify verification gaps
• Develop a verification environment that can qualify the product
• Be responsible for verification of system design and software