Urwah Admin

NVIDIA

<div>NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It&rsquo;s a unique legacy of innovation that&rsquo;s fueled by great technology&mdash;and amazing people. Today, we&rsquo;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&rsquo;s never been done before takes vision, innovation, and the world&rsquo;s best talent. As an NVIDIAN, you&rsquo;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.
Are you a software developer, deep learning engineer, or scientist excited to collaborate with developers? NVIDIA is looking for a Technical Marketing Engineer (TME) to communicate the latest advancements in our AI Platform Software to the developer and user community. The AI Platform Software team manages the complete high-performance AI software stack: core kernel and communication libraries such as cuDNN and NCCL, open training platforms like PyTorch, and Megatron, and accelerated inference platforms such as TensorRT-LLM and Dynamo. This role works closely with product, engineering, and marketing teams to develop key technical content that guides developers how to use NVIDIA's AI platforms. Examples include technical blog posts, user guides, walk-throughs, demonstrations, benchmarks, and more. We seek a candidate who has trained a model, optimized an inference server, or debugged a multi-GPU job&mdash;and who is eager to share their expertise with others. You will review the stack before release and often be the first outside the engineering team to fully understand it. You'll be part of a collaborative group of TMEs, product managers, and developer advocates committed to delivering the best AI software platform for our developer community.
What you'll be doing:<ul><li>
Investigating new training and inference features while assessing them from a developer's point of view. Writing blog posts, guides, and reference examples that developers can use.</li><li>
Collaborating with internal and external deep learning engineers and researchers to build product-based training material and how-to technical content.</li><li>
Being the champion for AI among NVIDIA developers by directly engaging with our developer community.</li><li>
Improving product documentation to be clear for developers and their agents.</li><li>
Growing the value of our software by bringing community and customer feedback back to our product and engineering teams.</li><li>
Providing guidance to deep learning developers by building code samples and proof of concept applications.</li><li>
Benchmarking and generating data for positioning NVIDIA's inference platforms as the lowest cost-per-watt.</li></ul>
What We Need to See:<ul><li>
Bachelor's degree in Computer Science, Computer Engineering, or similar field or equivalent experience.</li><li>
4+ years of practical experience in deep learning or machine learning, including research conducted during undergraduate and graduate studies.</li><li>
Hands-on experience with at least one training or inference framework such as PyTorch, JAX, Megatron, TensorRT-LLM, vLLM, SGLang, or comparable tools.</li><li>
Solid understanding of Python or C/C++, programming techniques, and software development.</li><li>
Something you have written or built for a technical audience that we can engage with: a blog post, tutorial, documentation set, conference talk, thesis chapter, or public repository.</li><li>
Passion for presenting to technical audiences and crafting content for developers.</li><li>
Prior success in balancing multiple projects at a time.</li></ul>
Ways to Stand Out from the Crowd:<ul><li>
Advanced knowledge of modern LLM and AI software architecture: attention kernels, parallelism strategies, quantization, KV cache management, and request scheduling.</li><li>
Sustained contributions to publicly accessible AI projects or developer forums.</li><li>
Experience running, tuning, or interpreting benchmarks on multi-GPU systems.</li><li>
Experience explaining a system you did not build to people who need to use it tomorrow.</li></ul>
Widely considered to be one of the technology world&rsquo;s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 160,000 USD - 253,000 USD for Level 4.<div><div><div><div><div><div><div>
You will also be eligible for equity and benefits.</div></div></div></div></div></div></div>
Applications for this job will be accepted at least until August 3, 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.</div>

Technical Marketing Engineer - AI Platform Software

<div>We are seeking a dynamic sales leader to assist in advancing the global adoption of Enterprise AI Factories for strategic industry segments. In this position, you will orchestrate strategic AI Factory sales campaigns and work closely with virtual teams, including NVIDIA account executives, solution architects, industry business development, NVIDIA Infrastructure Services, NVIDIA Enterprise Support, NVIDIA Software segment teams, and product management/marketing. Your goal will be to propel the adoption of our innovative AI technologies, crafting a meaningful impact on the industry. If you are ambitious and excel in a fast-paced environment, this role is ideal for you!
What you'll be doing:<ul><li>
Engage with industry leaders, present NVIDIA's Full Stack solution, and NPN Partner solutions for customer success.</li><li>
Guide and co-pilot AI Factory strategic sales campaigns with WWFO sales teams and NPNs during critical phases of the sales cycle.</li><li>
Establish sales processes with NPN partners to increase adoption of NVIDIA Reference Architectures (NVIDIA Certified Sytems GPU-based systems/DGX, NVIDIA Software, and NVIDIA Networking.</li><li>
Build a robust demand pipeline and establish long-term business relationships and strategic relevance with selected high-revenue/growth customers.</li><li>
Establish effective relationships with the NVIDIA partner ecosystem.</li><li>
Measure success through incremental revenue and growth achieved via these initiatives and strategic metrics.</li></ul>
What we need to see:<ul><li>
Bachelor&rsquo;s and/or Master&rsquo;s degree or equivalent experience from a leading university</li><li>
12+ years of sales or business development experience in technology, embedded, and/or software products.</li><li>
Extensive client contact base, deep vertical expertise, and knowledge of AI Factory datacenter sales trends.</li><li>
Proven track record to work effectively within a highly matrixed organization.</li><li>
Business and technical knowledge of NVIDIA products and services.</li><li>
Experience driving and closing large, complex solutions across a portfolio of products.</li><li>
Success stories of collaborating with partners in closing large, strategic deals with global customers.</li><li>
Regular review of sales opportunities, forecasting, and account business plans.</li><li>
Ability to partner with Business Unit product management and engineering teams to ensure alignment with our company roadmap.</li></ul>
Ways to stand out from the crowd:<ul><li>
Demonstrating effective leadership and driving organizational growth and change.</li><li>
Presenting sophisticated technical content to customers.</li><li>
Influencing business practices and products to align better with customer needs.</li><li>
Proven experience in qualifying new customers to enable revenue opportunities and product alignment across multiple decision-makers.</li><li>
Strong technical foundation to establish credibility with customers and internal partners.</li></ul>
NVIDIA is widely considered to be one of the technology world&rsquo;s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you!
Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 224,000 USD - 356,500 USD for Level 5, and 248,000 USD - 396,750 USD for Level 6.<div><div><div><div><div><div><div>
You will also be eligible for equity and benefits.</div></div></div></div></div></div></div>
Applications for this job will be accepted at least until August 3, 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.</div>

Senior Account Manager, AI Factory - Global Segment Sales

<div>NVIDIA is transforming healthcare with AI to power the next generation of innovation in Biology and Life Sciences. BioNeMo platform is rapidly growing and it is becoming the de facto platform for AI-driven biology and drug discovery.
We are seeking a hardworking individual to join our dynamic team as a Product Manager, driving the development and implementation of our innovative bio-AI inference strategy. As a key member of the team, you will help develop the future of AI technology. Your work will have a significant impact in this rapidly evolving industry. If you have a passion for technology and a strong background in product management, we want to hear from you!
What you'll be doing:<ul><li>
Develop and carry out a full-stack inference strategy for the BioNeMo platform, including NVIDIA Inference Microservices (NIMs) and Blueprints, aligned with company goals and objectives.</li><li>
Act as a liaison between the Digital Biology ecosystem and the rest of NVIDIA. Communicate the ecosystem priorities to the horizontal product teams and influence roadmaps to include feature development relevant for the bio ecosystem.</li><li>
Define and prioritize product features and requirements, balancing customer needs, technical feasibility, and business goals.</li><li>
Communicate product vision, strategy, and progress to collaborators and senior management, providing regular updates and reports.</li><li>
Collaborate with sales and marketing teams to develop go-to-market strategies, messaging, and positioning for the product.</li><li>
Monitor product performance and gather feedback from customers and users, using data to drive continuous improvements and inform future product development.</li><li>
Keep informed about developments and innovations in artificial intelligence and bio-inspired neural modeling, and apply knowledge to guide the product roadmap.</li></ul>
What we need to see:<ul><li>
Masters degree (or equivalent experience) in Electrical, Mechanical, Materials, or other related fields.</li><li>
5+ years of experience in Software Engineering, Deep Learning, Large Scale AI deployment.</li><li>
Deep technical foundation: should possess an extensive understanding of software development, machine learning, and bioinformatics. This involves familiarity with programming languages, frameworks, and tools frequently employed in these areas.</li><li>
Experience with product management: the ideal candidate should have prior experience in product management or equivalent, with a track record of successfully launching and managing technical products. This includes the ability to build product roadmaps, gather and prioritize requirements, and work cross-functionally with engineering, marketing, and sales teams.</li><li>
Knowledge of the life sciences industry, including current trends and challenges. This involves understanding bioinformatics, genomics, and drug discovery processes.</li><li>
Excellent communication and leadership skills: this role will require the candidate to effectively communicate complex technical concepts to both technical and non-technical collaborators. They should also be able to lead and collaborate with a diverse team of engineers, data scientists, and product managers.</li></ul>
Ways to stand out from the crowd:<ul><li>
Hands-on experience with NVIDIA products like NIMs, TensorRT-LLM, vLLM</li><li>
Hands-on experience with deployment of large-scale AI models for production workloads.</li><li>
Familiarity with ISV platforms and understanding of how product integrations work for ISVs.</li></ul> 
Widely considered to be one of the technology world&rsquo;s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 224,250 USD.<div><div><div><div><div><div><div>
You will also be eligible for equity and benefits.</div></div></div></div></div></div></div>
Applications for this job will be accepted at least until August 3, 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.</div>

Product Manager - BioNeMo Inference

<div><div><div>We are seeking a senior system software engineer to lead technically and own key parts of our low-level diagnostic software. This software supports next-generation data center GPUs and rack-scale AI systems. Our team builds software that exercises and validates complex hardware, including processing units, storage and cache architectures, NICs, PCIe and NVLink interfaces, power delivery, and thermal behavior. This role is well suited to a senior embedded, firmware, device-driver, hardware-validation, or systems software engineer with a record of leading complex software projects that directly interface with hardware. Relevant experience may come from GPUs, CPUs, networking, storage, servers, embedded systems, or other complex silicon-based products. Prior GPU, CUDA, or GEMM experience is helpful for the role; deep experience developing low-level software for complex hardware systems is required.
This is a hands-on software development role in which you will architect, implement, debug, and maintain key components of the diagnostic software through validation, productization, and field support. In addition to making substantial individual code contributions, you will lead complex development efforts, mentor other engineers, and collaborate with hardware architects, driver developers, silicon-validation engineers, manufacturing teams, and field engineers to bring up new hardware and diagnose difficult system failures. Join an exciting, rewarding, and fast-moving environment building the systems that power modern AI.
What you&rsquo;ll be doing:<ul><li>
Architecting and developing diagnostic and stress software in C/C++ and Python for complex hardware systems.</li><li>
Leading development efforts across multiple engineers, breaking ambiguous problems into actionable work, and mentoring engineers in low-level software development and debugging.</li><li>
Interfacing with hardware blocks, firmware, Linux device drivers, registers, telemetry, and low-level debugging tools.</li><li>
Assessing new hardware features and defining effective diagnostic and stress strategies for engineering validation, manufacturing, product qualification, and field use.</li><li>
Designing targeted tests for compute engines, memory and cache subsystems, DMA engines, NICs, PCIe/NVLink interfaces, power, and thermal behavior.</li><li>
Developing diagnostic and stress workloads ranging from low-level tests for GPU hardware to higher-level AI workloads using CUDA programming, GEMM-style compute, NCCL, and PyTorch.</li><li>
Investigating complex hardware and software failures involving memory errors, ECC, data integrity, performance, thermals, voltage/frequency behavior, and high-speed interfaces.</li><li>
Using modern development and analysis tools, including AI-assisted tools where appropriate, to accelerate coding, debugging, test creation, and failure analysis.</li></ul>
What we need to see:<ul><li>
BS or MS degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent experience.</li><li>
12+ years of experience in embedded software, firmware, Linux device drivers, systems software, hardware validation, diagnostics, or silicon bring-up.</li><li>
Experience providing technical leadership for a complex software component or project, including coordinating work among various engineers and mentoring others.</li><li>
Strong programming skills in C and C++, plus working proficiency in Python.</li><li>
Extensive experience developing software that interacts with hardware, firmware, device drivers, hardware registers, or other low-level interfaces.</li><li>
Background with PCIe, NVLink, or networking technologies such as Ethernet or InfiniBand.</li><li>
Strong understanding of computer architecture concepts such as memory systems, caches, interrupts, DMA, buses, device I/O, bandwidth constraints, and hardware error behavior.</li><li>
Experience debugging complex failures across hardware, firmware, device drivers, operating systems, and applications.</li><li>
Ability to define technical direction, make sound engineering tradeoffs, and drive ambiguous problems through completion across organizational boundaries.</li><li>
Excellent written and verbal communication skills, including the ability to communicate effectively with hardware architects, software engineers, manufacturing teams, field engineers, and technical leadership.</li></ul>
Widely considered to be one of the technology world&rsquo;s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/</div></div>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.<div><div><div><div><div><div><div>
You will also be eligible for equity and benefits.</div></div></div></div></div></div></div>
Applications for this job will be accepted at least until August 3, 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.</div>

Senior System Software Engineer – Data Center Compute Diagnostics

<div>NVIDIA is hiring experienced software engineers to help scale up its AI Infrastructure. We expect you to have significant software engineering experience with cluster operations, operator development, node health monitoring and working with GPU resource scheduling. We welcome out-of-the-box thinkers who can provide new ideas with strong execution bias. Expect to be constantly challenged, improving, and evolving for the better. You will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications. If you're creative, passionate about GPUs, and love having fun, please apply today! 
For two decades, we have pioneered visual computing, the art and science of computer graphics. With the invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. 
What you will be doing:<ul><li>
You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads.</li><li>
Designing and developing a massively distributed scalable platform which would be used to identify, diagnose and remediate non-performant GPU assets.</li><li>
Working with teams across NVIDIA to ensure production AI clusters run reliability and consistently with maximum performance. Evaluating system failures and improving services based on a well-defined incident management process.</li><li>
Working across all of our product stack: React, Web Components, TypeScript, Golang, PostgreSQL, Temporal, Bazel, Kubernetes</li></ul> 
What we need to see:<ul><li>
Direct experience in a software engineering role within a highly technical organization with demonstrable impact from your work.</li><li>
Highly motivated with strong communication skills, you can work successfully with multi-functional teams, principles, and architects and coordinate effectively across organizational boundaries and geographies.</li><li>
5+ years in similar role and experience on large-scale production systems. Experience with common software engineering principles, tools and techniques</li><li>
You possess a BS in Computer Science or Engineering or equivalent experience</li><li>
6+ years of experience doing full-stack engineering</li><li>
3+ years building and shipping consumer-facing products</li><li>
Proficiency in React, TypeScript/JavaScript, and Golang</li><li>
Proficiency with a SQL database</li></ul> 
Ways to stand out from the crowd:<ul><li>
Technical competency in managing and automating large-scale distributed systems independent of cloud providers. Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, Slurm, Base Command Manager).</li><li>
Empathy for users, attention to detail, and a passion for creating world-class user experiences</li><li>
Prior experience in asynchronous workflows and/or event driven architecture.</li><li>
Proven operational excellence in maintaining reliable and performant infrastructure.</li><li>
A good understanding of how to use LLMs responsibly and the perils of blindly consuming their output</li></ul> 
NVIDIA is widely considered to be one of the technology world&rsquo;s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you are creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.<div><div><div><div><div><div><div>
You will also be eligible for equity and benefits.</div></div></div></div></div></div></div>
Applications for this job will be accepted at least until August 3, 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.</div>

Senior Full Stack Software Engineer - DGX Cloud

<div>We are seeking a Senior Customer Program Manager to support the planning and execution of technical and operational programs for key partners and maintain strong customer relationships. As a key member of the Customer Program Management Team, this role will drive collaboration with major enterprise customers, cloud service providers, and Tier-1 partners. The ideal candidate will bring strong technical program management expertise, a solid engineering background, and the ability to thrive in fast-paced environments while ensuring successful outcomes for both internal teams and external collaborators.
What You&rsquo;ll Be Doing:<ul><li>
Define and manage program schedules, deliverables, and turning points aligned with customers and partners roadmaps and requirements.</li><li>
Translate customer requirements into actionable tasks for all functional teams, driving timely issue resolution across engineering, quality, logistics, and sales.</li><li>
Provide horizontal leadership to drive cross-functional program execution, managing high priority issues/concerns, and coordinating globally dispersed teams to ensure clear alignment on objectives.</li><li>
Act as the primary customer interface, facilitating program kick-offs, technical discussions, design reviews, issues/bug tracking and resolution, customer qualification/validation efforts, and status updates throughout the product lifecycle.</li><li>
Drive program execution from design through production deployment, ensuring on-time delivery, quality, and customer acceptance.</li><li>
Provide ongoing post-deployment sustaining support, serving as case manager for high-priority concerns</li><li>
Proactively communicate program health, risks, and key issues to both customers, internal partners, and leadership (Hardware, Software, Operations, Business, Quality, Sales, and Product Teams), ensuring transparency and alignment.</li><li>
Define the strategy and execution plans for successfully integrating complex AI model tech stacks in customer environments, from evaluation/proof-of-concept to design, development, qualification, and validation to production launch</li></ul>
What We Need to See:<ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering, or a related field, or equivalent experience.</li><li>
12+ years of program/project management experience in Cloud providers, Automotive, Robotics or Physical AI industries</li><li>
Strong technical background in hardware and/or software product development with experience working closely with cloud and AI solution providers</li><li>
Experience driving AI Systems Orchestration. Aligning engineering teams to scale large generative architectures while managing massive compute resources, infrastructure bottlenecks, and model release timelines</li><li>
Consistent track record of leading complex, global programs through full development lifecycles into deployment and production</li><li>
Excellent program management, communication, and organizational skills with the ability to prioritize issues and drive cross-functional alignment.</li><li>
Consistent track record to coordinate with global teams and navigate multi-cultural, multinational business environments.</li><li>
Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences, from engineers to executives.</li><li>
Willingness to travel as required (up to 10%), and thrive in fast-paced, dynamic environments</li></ul>
Ways to Stand Out from the Crowd:<ul><li>
Experience working with Synthetic data generation pipelines and/or World Foundation Models</li><li>
Experience managing data Lifecycle Management: Overseeing large-scale data curation pipelines, defining automated quality metrics for training data, and mitigating legal, privacy, and bias risks</li><li>
Strong leadership in matrixed collaboration, conflict resolution, and consensus-building.</li><li>
Strong background thriving in dynamic, high-growth environments, with proven adaptability to obscurity, rapid change, and matrixed team structures.</li></ul>
With competitive salaries and a generous benefits package, we are widely considered to be one of the world&rsquo;s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.<div><div><div><div><div><div><div>
You will also be eligible for equity and benefits.</div></div></div></div></div></div></div>
Applications for this job will be accepted at least until August 3, 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.</div>

Senior Customer Program Manager – AI Platform

<div>
 NVIDIA's Silicon Co-Design Group is seeking an Applied AI Engineer to innovate, develop, and integrate innovative AI solutions into the design and automation infrastructure that powers our chips. Every CPU, GPU, and Tegra SoC NVIDIA has shipped in the past four years passed through our toolchain on its way to production &mdash; over 200 product SKUs were optimized during the Blackwell generation alone. Now we're rebuilding that toolchain around AI, and we're looking for the engineer to lead that charge. In this role, you will architect and implement solutions that enhance the efficiency, scalability, and intelligence of our workflows, driving initiatives from concept to deployment. If you combine deep technical expertise with a hands-on approach and an aim to push the boundaries of what's possible, this is your opportunity. At NVIDIA, we strive for perfection, encourage innovation, and provide opportunities to explore new ways to succeed!
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 LLM-Powered Validation Pipelines: Design and deploy AI systems that make post-silicon validation faster, smarter, and more scalable across semiconductor environments. You're not maintaining what exists, you're building what comes next.
 </li>
 <li>
 Cross-Team AI Integration: Work directly with multi-functional engineering teams across the organization to identify where AI can eliminate friction, and then build the solution. Your output will be felt across teams, products, and generations of silicon.
 </li>
 <li>
 Technology Scouting &amp; Evaluation: Evaluate emerging AI frameworks and architectures before the rest of the industry catches on. Be the person who spots what's worth adopting, and makes the case for it.
 </li>
 <li>
 Impact Measurement &amp; Continuous Improvement: Build the data systems that prove what's working. Establish clear, quantitative indicators of AI impact, close performance gaps, and drive iteration across the org to turn insight into lasting improvement!
 
 
 </li>
 </ul>
 
 What We Need To See
 
 
 
 <ul>
 <li>
 BS, MS, or PhD or equivalent experience in CS, EE, CE, or a related field, with 5+ years of hands-on experience building and deploying ML/AI systems or data-intensive backend services.
 </li>
 <li>
 2+ years of direct Applied AI experience independently owning an AI agent, LLM-powered workflow, or intelligent automation system end-to-end &mdash; from prototype through production deployment.
 </li>
 <li>
 Strong Python skills and proficiency in at least one static language such as C, C++, C#, Java, or Scala.
 </li>
 <li>
 Experience working within a silicon development environment, with exposure to chip and system characterization methodologies, process variation, statistical error rates, or advanced timing/power analysis.
 </li>
 <li>
 Hands-on experience with silicon bring-up, characterization, or lab debug using standard tools (e.g., oscilloscopes, multimeters, logic analyzers).
 </li>
 <li>
 Strong EE fundamentals, including computer architecture, high-speed interfaces, timing, power basics, and a solid understanding of firmware/driver structures and hardware interaction.
 </li>
 <li>
 Proven track record to balance multiple concurrent projects and apply excellent problem-solving, communication, and teamwork skills.
 
 
 </li>
 </ul>
 
 Ways To Stand Out From The Crowd
 
 
 
 <ul>
 <li>
 Experience debugging complex system-level issues involving HW/SW interactions, including leadership or ownership in driving root cause analysis of silicon or feature-level issues.
 </li>
 <li>
 Ability to translate innovative AI research into practical, high-impact production tools.
 </li>
 <li>
 Familiarity with modern AI technologies and methodologies for crafting and launching LLMs.
 </li>
 <li>
 Experience with building and deploying orchestration agents managing hundreds to thousands of tools.
 </li>
 <li>
 Demonstrated experience with deep learning frameworks like PyTorch or TensorFlow, and hands-on experience with agentic and orchestration tools including NeMo Agent Toolkit, LangChain, Semantic Kernel, AutoGen, CrewAI, or n8n.
 
 
 </li>
 </ul>
 Our team is at the forefront of silicon innovation, advancing groundbreaking technologies. We offer a dynamic work environment where your contributions will directly impact the company's success. Join us to advance your career in a role where you can truly make a difference. With competitive salaries and a generous benefits package, we are widely considered one of the technology industry&rsquo;s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
 
 
 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 August 1, 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.
 
 
 , , JR2018179
 
 
</div>

Applied AI Engineer

Join NVIDIA and explore 29   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.