NVIDIA

Solutions Engineer

• Helping our partners be successful in their adoption of end-to-end AI solutions using NVIDIA's compute, networking, and software stacks.
• Enabling customers adopting our CPU-based solutions as part of the overall NVIDIA AI Factory.
• Working on hardware and software elements, and the larger AI workflow and operationalization of large scale compute resources.
• Sharing knowledge with colleagues, delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs.
• Collaborating with executives and engineering to tackle sophisticated problems and bring NVIDIA's premiere technologies to life.

Solutions Architect, AI Factory, CPU Focused

DevOps Engineer

• Support DevOps initiatives by developing and maintaining CI/CD pipelines to automate build and deployment processes, and by improving monitoring and observability across services
• Contribute to maintaining both physical and cloud-based infrastructure, including troubleshooting and resolving hardware and system-level issues
• Debug and analyze complex system-level issues to identify root causes and drive timely resolution
• Contribute to the development of verification infrastructure, tackling complex technical challenges to enhance coverage, scalability, and robustness of DOCA™ services
• Engage in the full software development lifecycle of verification components, from design and architecture through implementation and validation
• Develop automation to simulate real-world environments and design tests to validate the functionality and performance of the DOCA platform

Senior Software and DevOps Engineer, DOCA Verification

Full-stack Engineer

• Work with a team passionate about large scale datacenter development and deployment.
• Assist in analyzing large scale workloads and searching for application and infrastructure improvement opportunities.
• Provide actionable insights on high dimensional to assist engineers in building creative solutions based on NVIDIA technology.
• Research and analyze data, identify trends of interest, link changes to recorded events, craft conclusions, create visuals, and help the team make intelligent data based decisions.
• Work closely with a team to learn more about analysis needs and communicate findings with team members.
• Apply machine learning or deep learning techniques for classification and prediction.
• Implementation and integrate into existing software toolsets for team usability.
• Document work and related materials to help the team build on top of your contributions.

Software Engineer, At Scale Compute Analysis

• Partner with our industry and account teams in a customer facing role to develop a keen understanding of customer goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs.
• Document what you know and teach others.
• Be an industry leader with vision on integrating NVIDIA technology into AI Workloads and Workflows, HPC, and enterprise GPU and networking architectures for advanced applications both in the datacenter and at the edge.
• Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform.
• Be empowered to find the best way to get your job done and do what it takes to make our partners and customers successful.

Solutions Architect, Supercomputing

• Designing and supporting mechanisms for coordinating and maintaining a large number of semiconductor design tasks across multiple datacenters.
• Building web interfaces to configure, launch and analyze tools.
• Debugging and improving services on platforms ranging from web browsers to containerized services to bare metal Linux hosts.
• Data mining and analyzing large datasets of job execution telemetry and tool Quality of Result to improve flows.
• Helping to invent the next generation in semiconductor design methodology.
• Optionally, contributing to the physical design of GPU/CPU/Networking products.

Physical Design Methodology and DevOps Engineer

Mechanical Engineer

• Drive micro-architecture definition, feasibility studies and documentation of CPU sub-systems
• Implement in RTL and coordinate execution with verification team
• Exercise logic design skills to optimize performance, timing, and power targets
• Deliver a synthesis/timing clean design in collaboration with physical design team
• Support hardware engineering activities including chip floor plan, power/clock distribution, and back-end verification
• Develop flows and tools to support design activities

CPU Design Engineer – New College Grad

• Serve as the lead technical expert for Federal accounts and FSIs.
• Encourage the use of NVIDIA-on-OEM architectures by developing strategic solutions and conducting in-depth technical workshops.
• Define and optimize the 'AI Factory' for Federal use cases, integrating NVIDIA solutions through OEM server, storage, and NVIDIA Spectrum-X networking into cohesive, high-performance mission solutions.
• Lead the development of POCs and guide the integration of the NVIDIA software stack, including NIM, NeMo, Dynamo, and TensorRT-LLM.
• Provide the technical expertise needed to navigate complex AI clusters within Federal security frameworks, including FedRAMP, IL5/IL6, and air-gapped (SCIF) environments.
• Act as a strategic conduit between Federal customers and NVIDIA engineering teams.

OEM Solutions Architect – AI Full Stack, Public Sector

Platform Engineer

• Partner with multiple internal teams to provide Tier 1 support for complex cloud platforms
• Define and improve operational workflows (runbooks, escalation paths, support processes)
• Triage/investigate root cause of customer issues and escalate as needed
• File bugs and report issues while working closely with the Site Reliability team
• Build tooling to improve customer support process and visibility
• Deeply understand user workloads and use cases
• Partner with multiple internal teams to give feedback to engineering teams and develop solutions to aid in their success
• Be part of an on call rotation to support production systems

Software Platform Support Engineer – GPU Cloud

• Craft and implement kernel drivers for state of art network devices as well as userspace libraries.
• Collaborate and debug with teams across the globe to provide the best solutions for customers.
• Develop high-quality code for Linux kernel and other open-source environments.
• Work in a Continuous Deployment environment of fast development/deployment cycles.
• Be a part of an experienced team with a great atmosphere.

Senior Linux Developer – Networking

• Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets
• Develop proof-of-concept discussions that assist and illustrate how to address accelerated and AI compute workloads to tackle real customer issues
• Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies
• Guide the development of Agentic AI workflows, including semantic search, retrieval-augmented generation (RAG), and Graph Neural Network (GNN) based applications for threat detection
• Translate complex AI and cybersecurity research into actionable, deployable architectures for enterprise and government customers.

Solutions Architect – OEM AI

• Act as technical lead for a team of software engineers designing cloud services backed by databases and data warehouses.
• Design and develop RESTful APIs to ingest telemetry from AI datacenters.
• Build scalable cloud services for high-volume ingestion, processing, and storage of large datasets.
• Build and manage data pipelines for online and offline data storage.
• Collaborate across teams to codify business processes into scalable, self-measuring systems.
• Optimize the reliability and efficiency of cloud services and operations.
• Lead and ship impactful technical projects, ensuring quality and scalability at every stage.

Lead Software Engineer, Fleet Management – DGX Cloud

• Advise on and help maintain large-scale computational and AI infrastructure
• Provide consultative guidance and perform hands-on solving across the full stack
• Assess customer environments and recommend optimized, production-ready Kubernetes-based container platforms
• Serve as a key technical resource: develop, refine, and document standard methodologies and operational guidelines
• Support Research & Development activities and engage in POCs/POVs to validate new features
• Create and deliver high-quality documentation, including runbooks, onboarding materials, and best-practice guides
• Act as the technical leader for assigned customer accounts, providing strategic guidance on DevOps and platform architecture

Senior Solutions Architect – Cloud Infrastructure, DevOps

Data Engineer

• Define and execute the group's data technical roadmap, aligning with Infra, DevOps, and Performance teams
• Design and maintain flexible ETL/ELT frameworks for ingesting, transforming, and classifying cluster verification and telemetry data
• Build and optimize streaming pipelines using Apache Spark, Kafka, and Databricks, ensuring high throughput, reliability, and adaptability to evolving data schemas
• Ensure data quality and pipeline health through observability standards, schema validation, lineage tracking, monitoring, and alerting
• Deliver reliable insights for cluster performance analysis, telemetry visibility, and end-to-end test coverage
• Support self-service analytics for engineers and researchers via Databricks notebooks, APIs, and datasets
• Drive best practices in data modeling, code quality, and operational excellence; collaborate with cross-functional teams to support data-driven decision-making
• Contribute to the development of AI Agents that enhance the visibility and accessibility of insights and data for our users

Senior Data Engineer

Backend Engineer

• Design and develop high performance networking solutions based on NVIDIA's outstanding ConnectX and Bluefield networking cards hardware
• Work in a startup mode/group developing groundbreaking networking solutions
• Development of the entire solution’s stack, from application level to networking card hardware access
• Development of kernel bypassing user space TCP/IP stack on top of our outstanding networking card hardware
• Invent and implement creative ways to improve performance and scalability
• Large scale and high quality deliveries
• Work closely with customers and partners
• Collaborate with multiple teams in our multi-functional environment on developing new features/improvements

Senior C++ Software Engineer

Engineer

• Design, implement, and optimize high‑performance inference pipelines for large language models running on GPUs
• Profile and tune model execution across the stack - from scheduler design to kernel fusions and everything in-between
• Design and experiment with memory management strategies for improved memory bandwidth optimization and cache efficiency
• Innovate and Implement cutting-edge techniques such as Speculative Decoding, Context Caching, and FP8/INT4 quantization to push the boundaries of tokens-per-second-per-watt
• Develop and maintain benchmarking and testing systems that quantify latency, utilization, and efficiency