NVIDIA

Full-stack Engineer

• Develop GPU-accelerated AI inference serving software
• Contribute to feature development and drive broad customer adoption
• Drive convergence of the Triton Inference Server and NVIDIA Dynamo stacks to establish a unified, high-performance inference platform
• Ensure feature parity while serving Large Language Model (LLM) and non-LLM workloads
• Participate in the open source deep learning software engineering community
• Build robust software for production server or cloud environments
• Optimize and balance prediction throughput and latency
• Develop and adopt next-generation inference technologies

Senior System Software Engineer – Dynamo-Triton Inference Server

• Build a cryptographic asset registry
• Build key and certificate inventory, lifecycle tracking, and usable interfaces
• Instrument and govern the platform with telemetry, audit evidence, and policy-based authorization for sensitive material
• Own signing flows end to end, including job type design, API and CLI surfaces, and customer experience
• Support post-quantum production signing with ML-DSA dual signing on HSM-backed keys, LMS software keys, and hybrid flows
• Build agent-assisted self-service paths while determining where human oversight is required
• Measure deflection rate, time to first signature, and onboarding time
• Take the cryptographic asset lifecycle platform forward across technology, process, and people

Tech Lead – Cryptographic Asset Platform

Marketing

• Own and drive integrated campaign strategies for assigned industry verticals across EMEA, aligned with NVIDIA's global priorities
• Build integrated campaigns targeting developers, enterprise decision-makers, and technical audiences across priority EMEA markets
• Lead the integrated GTC campaign for EMEA, coordinating DMO, field, content, and creative teams
• Plan and execute field and industry partner activation, including partner programmes and NVIDIA presence at key sector events
• Develop aligned go-to-market plans with NVIDIA ISV partners, including campaign activity, content, and joint field programmes
• Build ABM initiatives with field sales, WWFO, and partner teams
• Identify channel mix across digital, events, content syndication, email, and partner co-marketing
• Build and optimise digital assets including landing pages, email nurture tracks, social content, and collateral
• Coordinate execution across product marketing, content, DMO, creative, and agency partners
• Track and analyse campaign performance, optimise activity, and report results to stakeholders and leadership
• Act as the EMEA campaign point-of-contact for industry marketing and maintain relationships with global and product marketing teams

Integrated Campaigns and Industry Marketing Lead

Solutions Engineer

• Define reference architectures and blueprints for end-to-end solutions integrating GPUs and networking into data-center solutions
• Support account teams in identifying new business opportunities for NVIDIA Networking products and technology solutions
• Work closely with Sales teams and Product Marketing
• Provide technical account management for NVIDIA Networking product key accounts
• Conduct regular customer meetings for product updates and introductions to new technology solutions
• Deliver product roadmap presentations to customers and technology partners
• Respond to RFP/RFI proposals for AI factories, HPC clusters, cloud, enterprise, and other network designs
• Build and deliver custom-tailored product demonstrations and proofs of concept
• Manage complex networking deployments and design-in opportunities technically
• Analyze and troubleshoot performance issues with new technology at customer sites
• Prepare and deliver technical training presentations
• Provide constructive feedback to Engineering regarding product requirements and evolution, including submitting enhancement requests supported by business evidence

Senior Solutions Architect, Networking Solutions

• Design, develop, and productize NVIDIA's autonomous driving solutions
• Build world-class perception solutions
• Design and implement perception software components
• Improve robustness, efficiency, and reusability of software components
• Execute the full software development life cycle (SDLC)
• Write well-designed, testable code
• Integrate perception software components into fully functional software systems
• Develop software verification plans and quality assurance procedures
• Document and maintain software functionality
• Solve, debug, and upgrade existing systems
• Stay in sync with project plans and industry standards
• Deploy state-of-the-art perception DNN models to embedded platforms
• Analyze and improve systems using real and synthetic benchmark data
• Work closely with perception engineers and researchers

Senior Perception Software Engineer

AI Engineer

• Design and develop learning-based, multimodal sensor-fusion systems that transform synchronized sensor history, ego-motion, navigation context, and driving context into a unified spatiotemporal world representation
• Build architectures that jointly reason over camera, LiDAR, radar, and vehicle-state inputs while handling calibration, synchronization, coordinate transforms, sensor latency, and uncertainty
• Develop end-to-end and multi-task models for road graph elements, semantic scene understanding, occupancy and free-space representations, including uncertain and occluded regions
• Develop scalable multimodal fusion architectures using Transformer-based early, late, and hierarchical fusion; BEV, point/voxel, and image-based representations; temporal context aggregation; and cross-modal attention
• Create training, fine-tuning, and evaluation pipelines for large-scale multimodal datasets
• Define multi-task objectives and metrics balancing perception quality, geometric consistency, prediction accuracy, latency, and safety-critical behavior
• Investigate foundation-model approaches for autonomous driving, including vision-language models, multimodal pre-training, representation learning, and efficient deployment of learned world models
• Collaborate with perception, mapping, prediction, planning, simulation, data, and embedded-software teams to turn research advances into production-quality AV systems
• Develop analysis and debugging tools for model failures, cross-sensor disagreement, long-tail scenarios, distribution shift, and regressions in closed-loop simulation and on-road evaluation

Senior Context Fusion AI Engineer – Autonomous Vehicles

• Own full-solution validation on partner software stacks, including cluster-wide stability testing, real training-workload acceptance, and multi-day, multi-rack burn-in
• Minimise time from cluster handover to first production workload by coordinating hardware bring-up, managed-service intake, and partner operations teams
• Own Day 2 production stability at fleet scale, including monitoring, logging, workload orchestration, fault detection and remediation, preventive maintenance, and firmware and field-notice rollout campaigns
• Assess customer environments and operate heterogeneous open platforms including Kubernetes, KubeVirt, Slurm, and GPU-aware schedulers
• Integrate enterprise-grade networking and storage and enable third-party ISV workloads
• Provide consultative guidance and hands-on troubleshooting across bare metal, operating systems, software stacks, container platforms, networking, and storage
• Support R&D, proofs of concept, and proofs of value validating new features, architectures, and upgrade approaches
• Act as technical leader for assigned accounts
• Run structured knowledge transfer and enablement
• Produce runbooks, onboarding materials, and best-practice guides for partner teams

Senior Cloud Infrastructure, DevOps Solutions Architect

Technical Product Manager

• Define the resilience platform and own the product roadmap and delivery for specific platform features, including common telemetry interfaces, health-check contracts, attribution hooks, observability APIs, and joint deployment experience
• Translate developer pain points into features and integration partnerships
• Collaborate with the open-source developer community by prioritizing GitHub issues, gathering feedback, supporting contributors, and channeling community signals into the roadmap
• Collaborate with engineering on feature design, prioritization, execution, and architecture tradeoffs
• Align with Product, Engineering, Product Marketing, and Field teams on requirements, roadmaps, messaging, and engagements

Technical Product Manager – AI Infra Resilience

Application Engineer

• Serve as the technical lead for sustaining engineering related to NVIDIA data center products used by OEM customers
• Manage complex issues from initial triage and containment to root-cause analysis, corrective action, and resolution
• Perform system- and board-level failure analysis to isolate hardware, firmware, software, thermal, power, and integration-related problems
• Facilitate the complete RMA process, including failure-data collection, return authorization, material tracking, engineering disposition, and communication of findings
• Reproduce field failures in laboratory environments, analyze failure trends, and drive preventive improvements in product quality and serviceability
• Collaborate with OEMs, ODMs, manufacturing partners, and NVIDIA engineering, quality, reliability, operations, and supply-chain teams to resolve critical issues
• Provide on-site technical support and deliver clear failure-analysis reports, corrective-action updates, troubleshooting procedures, and executive-level communications

Senior Field Application Engineer – OEM

Account Manager

• Develop and maintain senior connections with top add-in-card and OEM partners as the main commercial liaison for NVIDIA’s edge and consumer platforms
• Develop quarterly and annual business plans, manage pipeline and partner sales performance, and deliver revenue and market-share objectives across ANZ Channel Resellers
• Convert NVIDIA’s product roadmap into local growth priorities, target segments, customer use cases, portfolio opportunities, and product/SKU mix for ANZ
• Lead partner launch plans and market readiness, aligning product availability, marketing programs, channel execution, and demand generation
• Build growth opportunities across gaming, content creation, AI PCs, and edge AI with developers, ISVs, solution providers, and enterprise teams
• Collaborate with regional, product, marketing, operations, and sales teams to represent ANZ needs and drive execution

Senior Account Manager, Consumer

• Collaborate with marketing and the custom design solutions team to review new solutions and manage qualification and certification submissions
• Collaborate closely with the OEM to develop a strong, positive relationship, align on expectations, address issues promptly, and ensure projects are completed flawlessly
• Analyze detailed server or computing platforms at a full system level to provide top-tier solutions
• Handle several technical cases and client priorities simultaneously, ensuring every requirement is addressed with outstanding quality and attention to detail
• Examine schematics, block diagrams, diagnostic data, manufacturing test results, and thermal or electrical measurements to identify root causes and offer practical solutions
• Drive progress in server architecture by improving CPUs, GPUs, memory, storage, power delivery, cooling, and high-speed interconnects
• Operate from the Round Rock area and travel as required to support project goals

Solutions Architect – OEM

• Serve as the technical FAE, working directly with end customers, NVIS, and OEM deployment teams from planning through operational handover
• Coordinate site readiness, equipment availability, installation schedules, and requirements for power, cooling, networking, and system configuration
• Guide deployment teams through installation, system bring-up, integration, and validation to meet customer acceptance criteria
• Drive deployment issue resolution and address partner concerns across customer, OEM, and NVIDIA teams
• Communicate progress, risks, and recovery plans
• Maintain deployment documentation and improve procedures based on lessons learned

Security Operations

• Define, design, develop, and verify features for new SoC platforms
• Collaborate with hardware engineers and fellow software engineers
• Follow new SOC platforms through the development process to customer products
• Contribute to early firmware, performance, power management, and system software development
• Collaborate and communicate with teams across the globe
• Design key aspects of production GPU kernel drivers, embedded software, and SOC platforms

Senior System Software Engineer, SOC

Engineer

• Design, build, and optimize intelligent low-level compiler systems, including compiler-oriented agents, multi-step transformation workflows, tool use, memory, and orchestration
• Develop systems that reason about low-level IR, code generation, optimization passes, scheduling, numerical precision, and performance tradeoffs across GPU-centric workloads
• Build data, environments, verification, reward, and evaluation systems to improve compiler quality, numerical correctness, robustness, and performance
• Develop infrastructure for numerical validation, differential testing, regression detection, and correctness verification for generated or transformed code
• Co-design compiler and verification workflows across NVIDIA's software stack, spanning models and inference, compiler pipelines, runtimes, libraries, kernels, and GPUs
• Collaborate with internal compiler, CUDA, library, runtime, and hardware teams to integrate new capabilities into NVIDIA products
• Drive performance analysis and optimization for generated or transformed code, focusing on correctness, scalability, and real-world deployment

Senior Compiler Engineer, Agentic Compiler Systems

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for an Infrastructure Solutions Architect to help revolutionize computing. At NVIDIA, we encourage an inclusive and collaborative environment where ambitious individuals can grow. Our dedication to innovation and excellence has made us a leader in technology. We are now seeking outstanding talent to join us on this journey.

What you’ll be doing:

- Serve as the senior technical point of contact for OEM Federal deployments of NVIDIA GPU-accelerated platforms, including PCIe GPUs, HGX, and MGX systems, addressing any blocking issues.

- Own Issues End to End: Take responsibility for customer issues from start to finish — prioritizing platform, firmware, and workload problems. Drive these issues through the OEM's support tiers into NVIDIA engineering with the necessary logs and reproduction details to identify the root cause. Follow through with the customer until resolution.

- Failure Analysis & RMA: Establish and complete diagnostic, RMA eligibility, and replacement procedures for Federal deployments. This includes situations where failed hardware and logs must remain on-site at the customer facility.

- Navigate Federal security frameworks including FedRAMP, IL5/IL6, and air-gapped (SCIF) environments, and help the customer meet sanitization and chain-of-custody requirements for hardware returns.

- Partner with OEM Federal support and services teams to reduce blocking issues and unnecessary dispatches. Detail failure signatures to build the Federal knowledge base and apply AI tools where the environment allows.

What we need to see:

- Due to the classified nature of the work, the selected candidate must be a U.S. citizen and possess and maintain an active U.S. Government TS/SCI clearance. Certain Intelligence Community customer assignments may also require a current U.S. Government-administered Counterintelligence Scope or Full Scope Polygraph.

- BS or MS in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience

- 5+ years of engineering experience on multi-GPU platforms, including at least 3 years in a customer-facing support, field engineering, or blocking issue role.

- Strong system software expertise across firmware, BIOS, kernel, drivers, and operating systems, with the ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads.

- Expert knowledge of data center infrastructure — x86/ARM systems, high-performance storage, and low-latency networking (InfiniBand/RDMA).

- Professional-level communication and organizational skills, including adjusting to the technical level of the audience, staying calm and focused in negative situations, and driving issues through to closure.

- This role requires up to 35% travel to customer, partner, and data center sites, including secure facilities, and occasional weekend and holiday coverage.

Ways to stand out from the crowd:

- Dell Ecosystem Expertise: Proven experience with Dell PowerEdge GPU servers and Dell's management software (OpenManage, APEX), and familiarity with Dell's support and process for handling blocking issues.

- Federal Mission Experience: Direct experience supporting DoD, Intelligence Community, or Civilian agency deployments, and comfort operating within their security and logistics constraints.

- Programming Depth: Proficiency in Python for building custom diagnostic and analysis tooling, and C/C++ for platform OS, firmware, and driver work.

- Cluster & HPC Technologies: Containerized and scheduled environments (Docker, Kubernetes, Slurm) and upper layer protocols such as NCCL and MPI.

- Performance Analysis: Experience analyzing performance of distributed GPU-accelerated workloads.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, results-oriented and enjoy learning while having fun, then what are you waiting for? Apply today!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 21, 2026.
This posting is for an existing vacancy. 
NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Senior System Software Engineer – Dynamo-Triton Inference Server

Tech Lead – Cryptographic Asset Platform

Integrated Campaigns and Industry Marketing Lead

Senior Solutions Architect, Networking Solutions

Senior Perception Software Engineer

Senior Context Fusion AI Engineer – Autonomous Vehicles

Senior Cloud Infrastructure, DevOps Solutions Architect

Technical Product Manager – AI Infra Resilience

Senior Field Application Engineer – OEM

Senior Account Manager, Consumer

Solutions Architect – OEM

Senior Field Application Engineer – OEM

Senior System Software Engineer, SOC

Senior Compiler Engineer, Agentic Compiler Systems

Infrastructure Solutions Architect - OEM