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Ncp Jobs (NOW HIRING)

sylvamo

Customer Service Specialist

Ticonderoga, NY · On-site

$17 - $22.50/hr

Managing Non-Conforming Product (NCP) utilization in conjunction with the supply chain: applying NCP product to future orders or transferring to stock * Manage daily operations update calls with ...

sylvamo

Customer Service Specialist

Ticonderoga, NY

$17 - $22.50/hr

Managing Non-Conforming Product (NCP) utilization in conjunction with the supply chain: applying NCP product to future orders or transferring to stock * Manage daily operations update calls with ...

sylvamo

Customer Service Specialist

Ticonderoga, NY

$17 - $22.50/hr

Managing Non-Conforming Product (NCP) utilization in conjunction with the supply chain: applying NCP product to future orders or transferring to stock * Manage daily operations update calls with ...

sylvamo

Customer Service Specialist

Ticonderoga, NY

$17 - $22.50/hr

Managing Non-Conforming Product (NCP) utilization in conjunction with the supply chain: applying NCP product to future orders or transferring to stock * Manage daily operations update calls with ...

sylvamo

Customer Service Specialist

Ticonderoga, NY

$17 - $22.50/hr

Managing Non-Conforming Product (NCP) utilization in conjunction with the supply chain: applying NCP product to future orders or transferring to stock * Manage daily operations update calls with ...

Nuclear Care Partners

Strategic Sourcer

Grand Junction, CO · On-site

$24 - $29/hr

Strategic Sourcer Nuclear Care Partners (NCP) Full-Time About Us Nuclear Care Partners exists to serve former Department of Energy workers-our nation's atomic heroes-by delivering compassionate, high ...

sylvamo

Customer Service Specialist

Ticonderoga, NY

$17 - $22.50/hr

Managing Non-Conforming Product (NCP) utilization in conjunction with the supply chain: applying NCP product to future orders or transferring to stock * Manage daily operations update calls with ...

sylvamo

Customer Service Specialist

Ticonderoga, NY

$17 - $22.50/hr

Managing Non-Conforming Product (NCP) utilization in conjunction with the supply chain: applying NCP product to future orders or transferring to stock * Manage daily operations update calls with ...

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Ncp information

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How much do ncp jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for ncp in the United States is $22.71, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $25.96 per hour, depending on experience, location, and employer.

What is the difference between Ncp vs Care Assistant?

AspectNcpCare Assistant
CertificationsNVQ or equivalent in health and social care, sometimes specialized trainingBasic training, often includes a care certificate
Work EnvironmentHospitals, clinics, care homes, community settingsCare homes, home care, community settings
Job RoleProvides clinical and personal care, may perform basic medical tasksAssists with daily living activities, personal care
Employer & Industry UsageHospitals, healthcare providers, clinicsCare agencies, residential care facilities, home care services

While both Ncp and Care Assistant roles involve providing care, Ncp positions typically require more specialized healthcare training and may involve clinical tasks, whereas Care Assistants focus on personal and daily living support. The choice depends on your qualifications and career goals within the healthcare industry.

What jobs pay 2000 a day?

High-paying jobs that can pay around $2,000 a day typically include specialized roles such as surgeons, anesthesiologists, corporate lawyers, and certain executive positions. These roles often require advanced education, certifications, and significant experience, and may involve high-stakes environments or freelance consulting in fields like finance or technology.

What are the top 5 career choices?

For a nurse case manager (NCP), common career paths include advancing to senior case management roles, specializing in areas like mental health or pediatrics, moving into healthcare administration, becoming a clinical educator, or pursuing certifications such as Certified Case Manager (CCM). These options often require relevant experience, strong communication skills, and knowledge of healthcare regulations.

What job makes $10,000 a month without a degree?

A non-certified nurse practitioner (NCP) typically does not exist; however, some high-earning roles like sales managers, real estate brokers, or entrepreneurs can earn $10,000 or more monthly without a degree. These positions often require strong skills, experience, and sometimes licensing or certification, but not necessarily a traditional college degree.
More about Ncp jobs
What cities are hiring for Ncp jobs? Cities with the most Ncp job openings:
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What job categories do people searching Ncp jobs look for? The top searched job categories for Ncp jobs are:
Ncp jobs near you
Infographic showing various Ncp job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $47,241 per year, or $22.7 per hour.
Distinguished Engineer, Storage - AI Cloud

Distinguished Engineer, Storage - AI Cloud

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 7 days ago

Job description

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.
AI Cloud Data Storage
NVIDIA DGXC Storage org handles some of the fastest training and inference tasks. Every GPU cycle depends on a storage platform built to keep tens of thousands of accelerators continuously busy. It maintains exabytes of data securely and powers the largest AI workloads worldwide across cloud, neocloud, and on-prem setups. With the growth of accelerated computing, storage is essential. It can make the difference between effective GPU use and wasted potential and between launching a frontier model on time or missing the deadline by months. We seek a Distinguished Engineer to lead NVIDIA's storage strategy for AI Cloud across the Neocloud Provider (NCP) and Cloud Service Provider (CSP) ecosystem. You will direct the architecture of high-performance parallel file systems, object stores, and block storage at exabyte scale. You will stay hands-on, collaborating with engineers, SREs, partners, and storage vendors. You will apply NVIDIA's AI tools to increase your productivity and that of those you impact. This is a distinctive prospect to establish the storage framework of the AI era at the company that introduced accelerated computing.
What you'll be doing:
  • Lead the multi-year technical plan for AI Cloud Storage expansion across NCPs - determine the reference architecture, capabilities, performance and durability SLOs, qualification methodology, and roadmap for the high-performance file, object, and block storage that each NCP must offer to qualify for NVIDIA GPU allocation.
  • Serve as the chief storage architect with deep hands-on involvement. Lead key reviews of storage builds and investigate root causes of complex production problems. Develop prototype reference implementations to minimize risks in new initiatives. Make final technical decisions on NCP storage deliveries using measurable SLOs. Apply AI tools heavily to amplify your technical influence throughout the program.
  • Define the standard for "production-ready" in NCP storage, including durability and availability SLOs measured in 9s. Ensure sustained efficiency per TiB, observability, blast-radius containment, and reduced operational toil. Influence GPU delivery gating by requiring AI Cloud to accept GPU capacity only after verifying storage-focused ancillary services.
  • Develop and guide the architectural direction by working closely with collaborators in training, inference, and accelerated-computing product lines. Coordinate with site-reliability, operations, networking, and security colleagues. Work together with external cloud providers, neocloud operators, and storage vendors to align on a common architecture.
  • Develop the open-source path forward for AI storage. Establish and guide an open-source strategy that broadens the AI storage ecosystem. Advocate for a GitHub-first, security-first stance. Engage deeply with upstream open-source communities. Formalize the APIs, SDKs, and protocols allowing partners and the industry to build, integrate, and create with NVIDIA at the AI storage level.
  • Lead an engineering culture centered on AI tools. Regularly use modern AI coding and agentic tools in your daily tasks. Show what 10× engineering means at NVIDIA. Distribute patterns, prompts, and evaluation harnesses across the storage organization.
  • Partner with peer Distinguished and Principal storage architects across the organization to tackle the most difficult, long-term technical challenges. Make automation the only acceptable solution for infrastructure management tasks like live software upgrades, node and drive replacements, capacity rebalancing, cross-DC data movement, and dataset lifecycle. Establish root-cause analysis and corrective action rigor on every major incident. Design the storage layer for workloads spanning the next several GPU generations, including disaggregated inference with storage-backed KV caching, large-scale write-once-read-many inference patterns, exabyte regional object stores, and cross-DC dataset versioning and copy management.
  • Mentor and develop senior, principal, and distinguished engineers across the storage organization and nearby business units. Raise the technical bar broadly. Represent NVIDIA externally in standards bodies, open-source communities, customer briefings, and industry forums (FAST, SC, OCP, SNIA, Linux Storage Summit).

What we need to see:
  • BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field - or equivalent experience.
  • A minimum of 18+ years of practical engineering experience in storage technology is needed. This involves extensive involvement with a high-performance parallel file system like Lustre, GPFS / Spectrum Scale, WEKA, VAST, BeeGFS, DAOS, or its equivalent, handling data at multi-petabyte scale. Candidates must also have wide-ranging expertise in object storage (S3 / Swift-class) and block storage (NVMe-oF, NVMesh-class, iSCSI).
  • A track record of crafting and managing storage platforms at exabyte scale for performance-critical workloads - AI training, HPC, video, or hyperscale data lakes - including direct responsibility for durability, availability, and performance SLOs measured in 9s.
  • Demonstrated ability to set technical strategy across business units and partner organizations. You have driven multi-year storage architectures adopted by multiple teams, vendors, or customers. You can point to measurable outcomes such as GPU utility lift, $/PB reduction, incidents eliminated, and time-to-bring-up compressed.
  • You are 100% hands-on in engineering. You write and review production code yourself. When a bug requires it, you read Lustre, NFS, kernel, NVMe-oF, or SPDK source code. You also run scale tests or recovery drills personally instead of delegating.
  • Strong proficiency in at least one systems language (C, C++, Rust, or Go) and proficiency in Python; comfortable in the Linux kernel storage and networking stacks (block layer, RDMA / RoCE / InfiniBand, NVMe, page cache, VFS, multipath).
  • Frequent daily use of advanced AI coding and autonomous tools, including specific examples showing how you accelerated building, coding, debugging, validation, and operations. Also, share your perspective on future trends.
  • Excellent written and verbal communication. You can write a one-pager that aligns a VP. You can also write a six-pager that aligns an entire org. You can explain a deep technical trade-off to an SRE, a vendor CTO, and an internal customer in the same week.
  • Comfort operating in a 24/7 production environment where storage incidents directly impact GPU revenue, with a security-first approach baked into every build.

Ways to stand out from the crowd:
  • Proven background in designing or managing storage solutions for AI training or inference at 10k+ GPU scale, demonstrating clear improvements in GPU utilization or reducing I/O bottlenecks.
  • Open-source contributions or maintainership in Lustre, NFS, SPDK, NVMe / NVMe-oF, CSI, Ceph, MinIO, RocksDB, or related projects.
  • Built or led a disaggregated-inference or Inference-Time-Compute storage architecture - KV caching to fast in-cluster or GPU-adjacent storage, WORM at scale, storage-aware scheduling, or database-integrated inference.
  • Public technical contributions - patents, peer-reviewed papers (FAST, SOSP, NSDI, OSDI, ATC), keynote talks, or RFCs - that demonstrate expertise and leadership in storage for AI infrastructure.

NVIDIA led the way in accelerated computing. Today, our AI infrastructure drives global intelligence, changing industries worldwide. The AI Cloud Storage group forms the base that maintains the world's largest GPU fleet's productivity. Every model trained, every inference served, and every checkpoint saved passes through systems we develop, construct, and manage.
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 plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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