Senior Solution Architect, AI Infrastructure
NVIDIA Corporation
Senior Switch Software Architect
NVIDIA Corporation
NVIDIA Spring 2027 Internships: Developer and Performance Technology
NVIDIA Corporation
Senior Product Manager, AI Physics
NVIDIA
At NVIDIA, we’re solving the world’s most challenging problems with our unique approach to accelerated computing. We’re looking for a technical and passionate product manager to join the NVIDIA team building our AI physics models, libraries, and frameworks. This role is responsible for leading some of our newest AI physics products, which are at the forefront of engineering acceleration and experiencing massive adoption and interest across CAE and EDA workloads..Come join our team in this highly visible and central opportunity to impact NVIDIA’s continued leadership in accelerated computing.
NVIDIA's AI physics products are essential, visible and growing both inside and outside of NVIDIA. We are looking for a self-starting product manager to continue growing these impactful models, libraries, and frameworks. Do you have the unique blend of technical, positioning and communication skills? Are you excited about groundbreaking technology? If so, we would love to learn more about you!
What You’ll Be Doing:
Leading: Take a leadership role in defining and positioning AI physics products, and building strategic go-to-market plans for AI physics across key industries.
Building: Bring ideas to life through product definition execution in collaboration with engineering, developer relations, and business development.
Presenting: Engage external and internal audiences, delivering ideas clearly with confidence using creative approaches, translating technology capabilities to messages that resonate. Collaborate with marketing, sales, and PR teams on content creation for partner enablement assets such as presentation decks, blogs, whitepapers, webinars, demos, and more.
Collaborating: Team up with product managers from other departments, product marketing teams, campaign marketing, developer relations, business development, and field teams, to ensure alignment and execution of GTM and strategic business plans.
What We Need To See:
Graduate degree or equivalent experience in AI, physics, mathematics, mechanical engineering, electrical engineering, computer engineering, or relevant technical field.
8+ years of combined experience in a product management or technical role at a technology company working with AI, libraries, SDKs, frameworks, and/or toolkits.
Familiarity with AI frameworks and AI architecture for physical simulation.
Strong technical foundation in GPU computing, CUDA, or parallel programming models.
Excellent communication and presentation skills, with the ability to work across engineering, marketing, and business teams.
Proven ability to translate technical capabilities into developer and customer value.
Ability to prioritize multiple projects and work independently with minimal direction.
Ways To Stand Out From The Crowd:
Experience with computer-aided engineering or high performance computing.
Prior experience managing AI-enhanced simulation products.
Experience driving go-to-market strategy and customer engagements for technical products.
You will also be eligible for equity and benefits.
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.Originally posted on Himalayas
Product Engineer, Developer Platform
NVIDIA
For more than 25 years, NVIDIA has driven innovation in computer graphics, PC gaming, and accelerated computing. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re harnessing the boundless possibilities of AI to build 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.
DSX OS is NVIDIA's open source foundation for AI infrastructure. It is a growing portfolio of engineering teams building in the open. Every project in that portfolio needs to meet a shared bar for open-source readiness: code hygiene, governance, community health. Today, that's measured by hand, project by project. This role owns an internal product that changes that to a platform that scores, tracks, and reports on readiness across the DSX OS portfolio, and the roadmap that takes it from an internal utility to the definition of what "open source ready" means for DSX OS.
What you'll be doing:
Lead the platform as production infrastructure. Maintain, harden, and evolve it from a measurement tool into the system every DSX OS project runs on — reliability and data quality matter because everything else in the program depends on it.
Automate scoring. Replace manual review-fix-recheck loops with tooling, so the portfolio scales through automation instead of added effort. Self-serve integration.
Build scoring into onboarding and workshop experiences. This lets participants get real-time feedback on their own project instead of waiting for manual review. It increases how many teams a single event can support.
Engineering team feedback loop. Work directly with the project teams using the platform, capture friction signals, and feed them back into the product instead of letting issues pile up in a backlog.
Readiness tracking and reporting. Automate the generation and tracking of per-project readiness plans so status, blockers, and progress are transparent to leadership without manual assembly.
What we need to see:
8+ years of relevant experience and a bachelors degree (or equivalent experience)
Experience leading a software product or internal platform end-to-end and making the calls on what gets built, why, and in what order
Strong software engineering skills, with a track record of turning manual, error-prone processes into reliable automation
Hands-on experience with agentic coding tools (e.g., Claude Code, Copilot, Cursor) as part of your actual engineering workflow, not just casual use
Experience running a production system in the real world — on-call, incident response, or otherwise owning uptime and reliability for something people depend on daily
Experience building reporting or dashboards that a non-engineering audience (leadership, partners) can trust as a source of truth
Ownership mentality for production systems — system dependability and integrity of data fall under your responsibility, not someone else 's
Ways to stand out from the crowd:
Built or operated a rubric-based scoring or compliance system — quality gates, readiness checks, policy-as-code — where the output has to be defensible enough for people to act on it
Experience using LLMs within an evaluation pipeline (LLM-as-judge, qualitative signal assessment at scale) rather than only deterministic pass/fail checks
Designed a metric or signal taxonomy from scratch — deciding what to measure, how to weight it, and how to keep a single score relevant as the system it measures evolves
Built a tool that abstracts over multiple backends or platforms (e.g., supporting both GitHub and GitLab) so it isn't locked to one provider's API
Experience with GitOps-style automation — automated checks that run against every repo or PR or equivalent experience without a human in the loop
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you consider your future, explore what we can provide for you and your family at
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD.You will also be eligible for equity and benefits.
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.Originally posted on Himalayas
Senior Software Engineer, Distributed Systems Engineering - DGX Cloud
NVIDIA
NVIDIA is hiring experienced software engineers with Kubernetes experience to help scale up its AI Infrastructure. We expect you to have significant software engineering experience with Kubernetes including 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 Kubernetes and 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:
- 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. This includes working on custom software related to scheduling GPU resources on Kubernetes.
- Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets. You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry.
- 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.
What we need to see:
- Direct experience in a software engineering role within a highly technical organization with demonstrable impact from your work. Software development experience with Kubernetes APIs and frameworks not just operating a cluster.
- 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.
- 5+ years in similar role and experience on large-scale production systems. Experience with common software engineering principles, tools and techniques.
- You possess a BS in Computer Science, Engineering, Physics, Mathematics or a comparable Degree or equivalent experience.
- Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of data structures and algorithms.
Ways to stand out from the crowd:
- 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, Bright Cluster Manager)
- Proven operational excellence in maintaining reliable and performant AI infrastructure.
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 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 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.
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.Originally posted on Himalayas
Senior Account Manager - Financial Services
NVIDIA
NVIDIA Financial Services sales team now looking for a Senior Account Manager to serve our banking clients. At NVIDIA, we are seeking a high-energy and experienced sales professional with a validated successful track record of leading enterprise accounts in the Financial Services Industry. This full-time position requires close working relationships with NVIDIA solution architects, business development leaders, and developer relations, to drive revenue and platform adoption for the company. This role requires a strong knowledge of the enterprise business landscape and the financial services industry. This person should have the ability to shift easily from working with senior level executives and strategy decision makers to data scientists, and IT leaders.
What you'll be doing:
You will be responsible for all aspects of strategy creation and implementation, forecasting, sales account management, training and education to a select number of enterprise customers.
- Be the key point of contact and relationship owner for a defined set of banking customers
- Grow NVIDIA presence and platform adoption across data science, line of business, and IT organizations
- Build key accounts into strategic partners, and drive sustaining revenue, market share growth and product footprint
- Work closely with cloud partners, OEMs, and ISV ecosystem partners to build and execute go-to-market plans to accelerate growth and adoption of the enterprise product family
- Building winning capabilities and leading change
- Contributing to the long term success of our team by being a collaborative leader amongst your peers. Consistently striving to improve and reinvent yourself.
- Evangelize the use of NVIDIA's accelerated computing platform (inclusive of hardware, software, software development toolkits, and application frameworks) to your customers, prospects, and partners
- Ability to travel as needed.
What we need to see:
- BA degree or equivalent experience
- 12+ years’ experience selling solutions to senior executives at named accounts
- A passion for getting things done in a sales and technology environment
- Demonstrated track record leading significant revenue and overachieving targets to meet stretch goals
- Demonstrated ability to provide thought leadership, think strategically and effectively communicate vision (both written and verbal) and influence cross-functionally
Ways to stand out from the crowd:
- Understanding of data science workflows, modern machine learning and AI trends
- A strong aptitude for understanding new technologies and adept at conveying their value to business executives and software development leaders.
- Strong executive presence, polish, and political savvy
- Track record of successfully growing revenue for new innovative technology based solutions
- Excellent communication skills and ability to persuade -- using simple communications that convey sophisticated concepts in a compelling, concise, and creative way
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 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.You will also be eligible for equity and benefits.
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.Originally posted on Himalayas
Global Energy Partner Ecosystem Manager
NVIDIA
Join our global Energy team at NVIDIA, where we redefine the Oil and Gas, Power, and Utilities sectors with innovative cloud to edge AI and high-performance computing technologies. We are seeking individuals who thrive in fast-paced and dynamic environments, motivated by their passion for Artificial Intelligence and High-Performance Computing and their extensive background in the Energy industry.
As a key member of our Global Energy Team, you will lead business relationships with key Energy delivery partners, including Global Systems Integrators, Service Delivery Partners, Cloud Service Providers, and System OEMs. Together, we will enable these partners to expertly lead with NVIDIA AI-enabled solutions for the Energy industry. From accelerating seismic processing in the cloud to AI-enabled smart meters at the edge of the electric grid, NVIDIA technology is redefining the way in which energy is found, produced, generated, moved, stored and even consumed. This role will be the catalyst to helping our key partners deliver more solutions to energy companies to increase production, lower costs, deliver faster time to outcomes, reduce risk, and lower their carbon footprint.
What you'll be doing:
- Foster strong business relationships with key Energy delivery partners, ensuring a clear strategy is defined to enable them to provide NVIDIA solutions.
- Collaborate with partner Energy leadership teams to devise enablement plans and improve their abilities on GPU accelerated computing.
- Act as a liaison between partners and NVIDIA Energy Solution Architects, facilitating PoCs, platform porting, and RFQ responses.
- Define business goals, supervise progress, and develop joint go-to-market plans.
- Bridge the gap between partner sales teams and NVIDIA, identifying top accounts for joint engagement.
What we need to see:
- Bachelor's degree or equivalent experience.
- 12+ years of experience in complex sales or partner business management environments, demonstrating strong technical expertise, sound judgment, and business intuition.
- Strong understand of the Energy landscape and technology needs in O&G and/or Power and Utilities. From datacenter to edge.
- High energy levels, effective communication and written skills.
- Experience addressing senior leaders and large audiences.
- Proactive, creative, and flexible, with the ability to work independently and accomplish tasks on schedule.
- Familiarity with modern computing techniques and the ability to acquire technical knowledge to serve the needs of technology companies.
- Ability to connect effectively with team members at all levels.
- Thrives in a fast-paced environment with multiple priorities.
Ways to stand out from the crowd:
- Self-starter with integrity, accountability, and ambition, attracted to significant opportunities.
- Proven track record to thrive in a fast-paced environment requiring strong communication skills.
- Experience working in software platform company and/or middleware company that experience in helping developers leverage platforms to accelerate time to production software.
- Desirable experience in graphics, AI/deep learning, high-performance computing, cloud data centers, and/or edge computing.
- Proven track record of balancing multiple customers and customer programs across worldwide geographies and time zones.
You will also be eligible for equity and benefits.
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.Originally posted on Himalayas
Principal Segment Sales Manager - Networking Software
NVIDIA
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are applying accelerated computing and AI to define the next era of computing. Doing what has never been done before takes vision, innovation, and exceptional talent. As an NVIDIAN, you will work in a diverse, supportive environment where people are encouraged to do their best work and make a lasting impact.
NVIDIA is looking for a Principal Segment Sales Manager to build and scale the business for infrastructure software that improves the performance, security, efficiency, and serviceability of AI data centers. NVIDIA BlueField DPUs and DOCA enable networking, cybersecurity, storage, and host-infrastructure services to run on an accelerated and programmable data-processing platform. You will own the segment sales motion across DOCA services and the BlueField software ecosystem, including networking, cybersecurity and storage use cases. You will work with customers, account teams, software vendors, OEMs, cloud providers, and channel partners to turn technical integrations and early customer demand into repeatable, paid software and support revenue growth.
What you'll be doing:
- Build the segment strategy, target-customer plan, pipeline, forecast, and competitive view for DOCA and BlueField infrastructure software.
- Develop opportunities across data center networking, application delivery, cybersecurity, cloud-native infrastructure, storage and data services.
- Identify and convert lighthouse customers and ecosystem partners, including security and storage software vendors, OEMs, cloud service providers, systems integrators, and enterprise infrastructure teams.
- Create repeatable commercialization paths from technical integration through validation, launch, paid adoption, software and support attach, renewal, and expansion.
- Shape complex opportunities across pricing, packaging, licensing, entitlement, support, and partner routes in collaboration with Product, Engineering, Finance, Legal, Operations, and Support.
- Translate customer requirements into clear business opportunities spanning model-serving environments, data movement, networking, storage, security, performance, scalability, and operational efficiency.
- Lead customer and partner discovery, executive value discussions, technical validation planning, and commercial follow-through across multiple buying centers.
- Create seller and partner plays that explain how infrastructure software produces measurable customer outcomes, and equip the field to qualify and progress opportunities.
What we need to see:
- A bachelor's degree or equivalent experience.
- 15 or more years of experience in segment sales, specialist sales, business development, product sales, technical sales, or partner go-to-market for enterprise infrastructure software.
- Demonstrated success building a market or segment plan, qualifying complex opportunities, inspecting pipeline, forecasting, shaping deals, and converting early customer demand into repeatable revenue.
- Solid practical experience with data center networking and modern application infrastructure, such as Ethernet, switching and routing, application delivery, load balancing, multi-cloud networking, Kubernetes, APIs, or cloud-native platforms.
- Experience in cybersecurity markets or solutions, such as network security, cloud security, zero-trust architectures, firewalls, SASE, application and API security, or security operations.
- Background with storage infrastructure or data services and an understanding of how networking, compute, memory, storage, and security interact in modern data centers.
- Experience with host networking, storage infrastructure, and software-defined data center platforms, including how networking, compute, storage, and security interact in modern environments.
- Experience bringing enterprise software, subscription or consumption offers, support services, or platform solutions to market through direct and partner channels.
Ways to stand out from the crowd:
- Experience with DPUs, SmartNICs, infrastructure offload, programmable data planes, or software-defined networking and security.
- Familiarity with NVIDIA BlueField, DOCA, or related networking, cybersecurity, storage, and infrastructure software ecosystems.
- Experience building joint solutions and go-to-market motions with networking, security, storage, cloud, or AI infrastructure software vendors.
- A record of using adoption, attach, renewal, customer-outcome, and revenue data to improve go-to-market priorities and investment decisions.
NVIDIA is widely considered to be one of the 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 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 248,000 USD - 396,750 USD.You will also be eligible for equity and benefits.
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.Originally posted on Himalayas
Senior Deep Learning Scientist, Multimodal Agentic RL
NVIDIA
NVIDIA is widely regarded as one of the technology industry’s most desirable employers. We lead the way in High-Performance Computing, Artificial Intelligence, and Visualization. Our core invention, the GPU, serves as the visual cortex of modern computers and powers our entire product suite. GPU deep learning ignited the modern AI era—the next great computing age—with the GPU acting as the brain for everything from robots and autonomous cars to conversational AI. Today, we are known globally as "the AI computing company." We are looking to grow our teams by bringing in the smartest people in the world. Join us at the forefront of technological advancement.
NVIDIA is hiring Senior Deep Learning Scientists to advance our efforts in streaming and agentic multimodal AI. You will demonstrate foundational expertise in deep learning, reinforcement learning, and applied mathematics to help develop models capable of reasoning, planning, and acting across diverse modalities. This is a chance to define core algorithmic improvements for multimodal foundation models, scaling your ideas through our Nemotron Omni and VoiceChat platforms. You will work on high-impact, high-visibility large language models and multimodal AI products that improve the experience for millions of users.
If you are creative and passionate about solving real-world agentic AI challenges, come join our Nemotron LLM team. For more details on Nemotron LLM, check
What you’ll be doing:
Apply fundamental and applied research to develop, train, fine-tune, and deploy large language models for agentic systems encompassing audio-visual reasoning, tool usage, and document understanding.
Advance post-training and alignment methods including instruction tuning, preference optimization, and RLHF/RLVR/MOPD to improve multimodal agents for complex use cases.
Research and develop agentic reasoning and grounded perception capabilities, focusing on planning, tool execution, and long-horizon task completion across digital and physical environments.
Lead the collection, development, and benchmarking of multimodal datasets, ensuring high-quality evaluation of model accuracy, safety, and task completion success.
What we need to see:
Master’s degree (or equivalent experience) or PhD in Computer Science, AI, or Applied Math with 8+ years of relevant work experience.
Excellent programming skills in Python with strong fundamentals in scalable model development and deep learning frameworks like PyTorch.
Strong knowledge of ML/DL techniques and modern foundation model architectures, including Transformers and mixture-of-experts models.
Foundational understanding of reinforcement learning algorithms and implementation, including MDPs, policies, and reward design.
Hands-on experience in post-training multimodal models for omni-modality (audio-visual) reasoning, full-duplex voice chat, and human-AI interaction.
Proven ability to manage model development life cycles, including dataset versioning, experiment tracking, and evaluation pipelines.
Ways to stand out from the crowd:
Strong record of publications in top-tier AI and machine learning venues such as NeurIPS, ICML, ICLR, or CVPR.
Validated experience training and deploying multimodal foundation models using large-scale distributed infrastructure.
Experience applying deep reinforcement learning techniques to train multimodal agents in complex simulation or gaming environments.
Background in audio/speech AI, especially audio language models or audio generation.
Background in building embodied AI systems that integrate multimodal perception with backend action-fulfillment and long-horizon planning.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is considered one of the industry’s most desirable employers. As you plan your future, see what we can offer you and your family at . If you are a creative and autonomous engineer with a genuine passion for state-of-the-art 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 184,000 USD - 287,500 USD.You will also be eligible for equity and benefits.
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.Originally posted on Himalayas
Senior Systems Software Engineer, Containers, Kubernetes, and Confidential Compu
NVIDIA
NVIDIA is looking for a hardworking Sr. Systems Software Engineer to work on platform software based on open-source container runtimes and Kubernetes technologies. We expect you to have strong programming skills, a deep understanding of designing and building software, especially related to Rust and Go, experience with Systems Software and Distributed systems, as well as excellent communication and planning skills. We also welcome out-of-the-box problem solvers who can provide new ideas while being strong at completing tasks. Expect to be constantly challenged, improving and evolving for the better. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. If you're creative, passionate about what you do, autonomous, and love having fun, we want to hear from you!
What you will be doing:
- You'll be part of a small and dynamic team that explores innovative ways to make GPU-accelerated applications easier to develop, deploy, and monitor.
- Work on enabling GPUs as first-class resources in container orchestrators such as Kubernetes.
- This is an excellent opportunity to join the core group working on Cloud Native technologies enabling NVIDIA accelerators in the k8s environment.
- Work with engineering teams across all of NVIDIA to ensure your software integrates seamlessly up and down the stack.
- Proficiently multitasking on different tracks to efficiently address evolving priorities.
What we need to see:
- BS/MS in Computer Science, or related field (or equivalent experience)
- 8+ years of relevant work experience.
- Expert-level knowledge in a systems programming language (Go, Rust) and solid understanding of Data Structures and Algorithms.
- Strong understanding of Container Orchestration Systems (K8s) and Container Technology.
- Expert knowledge and experience working with System internals of Unix/Unix-like kernels such as Linux.
- Strong background in Cloud Computing and Distributed Software design and development.
- Understanding of performance, security, and reliability in complex distributed systems.
Ways to stand out from the crowd:
- Strong experience with Rust and Go programming languages.
- Real-world strong hands-on experience with Containers and Kubernetes.
- Proficient with Kata Containers and Container sandboxing technologies
- Well-versed in Attestation concepts, Key Broker Service, etc.
- Knowledgeable with virtualization technologies, SR-IOV, vGPU, etc.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. We are looking for great people like you to help us accelerate the next wave of artificial intelligence.
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.You will also be eligible for equity and benefits.
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.Originally posted on Himalayas