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Interim Head of Strategy & Operations, Full-Time
Our Minds Matter
Washington, DC
- Full-time
Project management and leadership: Designs dashboards and project management systems to track progress and support continuous improvement, training and engaging staff to adopt the system…
Added 1 hour ago
Process Engineer - Paper Machines
Smurfit Westrock
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…operations by safely improving processes and supporting the development, and implementation of new and/or existing projects. This role is a technical professional who safely analyzes,…
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Technical Trainer
Smurfit Westrock
Sioux City, IA
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Added 1 hour ago
Field Service Engineer IV (C4) - Technical Lead
Applied Materials
Phoenix, AZ
…our team to push the boundaries of what is possible - while learning every day in a supportive leading global company. Visit our Careers website to learn…
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Campus Undergraduate Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $24.05 to $63 USD / hour
…frontend engineering, cloud engineering, mobile, AI/machine learning, data-oriented engineering, or full-stack product…
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Senior Manager, In-School Opportunities
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Baltimore, MD
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Diller Teen Fellows Program Coordinator
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The Shipyard
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CVS Health
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Backend Operations Leader
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Executive Director of AI Platforms and Products
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Clinical Education Specialist- Orthopedics
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Added 1 hour ago
B(
Field Service Engineer (Orlando, Melbourne, Jupiter FL)
BD (Becton, Dickinson and Company)
Pensacola, FL
- $28.2 to $45.1 USD / hour
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Learning Solutions Architect II (Digital)
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Assoc Partner, Consult Partner - Agentic Ai for Business Workflows
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Added 1 hour ago
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Director of Sales Enablement
Microsoft
United States
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Serve as a senior partner to C&CS, Commercial Solution Areas, and Field leadership to ensure tight alignment between strategy, enablement, and execution.
Added 1 hour ago
Counter-Narcotics Operations Lead
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The Counter-Narcotics Operations Lead provides dedicated operational, strategic, and programmatic leadership supporting the USCENTCOM J3 Interagency Action Group (JIAG) . In this role, you…
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Head of Entitlements and Visibility, Wealth Workstation
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Access ongoing learning and leadership development programs to grow your career.
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OKR implementation & Strategy manager
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Senior Specialist, Global Gaming Learning and Development
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Miami, FL
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Added 2 hours ago
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Principal, Digital Security Engineer
Microsoft
TX · ND · MN · AZ · CO · Dallas, TX · Fargo, ND · Minneapolis, MN · Phoenix, AZ · Denver, CO · Dallas · Fargo · Minneapolis · Phoenix · Denver
- $130,900 to $272,300 USD / year
…uniting our Small Medium Business, Corporate, Strategy, and Partner teams, we are unlocking the largest customer opportunity, backed by the industry’s most significant investments.…
Added 2 hours ago
Manager Advanced Practice Providers
Ascension
Elk Grove Village, IL
Partner with cardiovascular leadership to support program growth and strategic initiatives.
Added 2 hours ago
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Case Manager-Alura (90393)
HomeFirst
San Jose, CA
- $33.17 USD / hour
Participate in opportunities for learning and skill maintenance/development.
Added 2 hours ago
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Senior Applied Scientist - AI for Safe Changes Health Gating
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
We are seeking an Applied Scientist to develop machine-learning and AI solutions that improve the safety, reliability, and operational efficiency of Microsoft 365 services, including…

NVIDIA USA

Senior Engineering Manager, Object Storage - DGX Cloud

Remote, United States

The expected base salary range for this position is 272,000 USD – 431,250 USD.

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Job details

Pay: The expected base salary range for this position is 272,000 USD – 431,250 USD.
Posting language: English
Posted: Nov 4, 2026

Original job description

NVIDIA's Object Storage Platform team builds and operates the company's internal S3-compatible distributed object storage service - a critical piece of infrastructure that stores, manages, and serves exabytes of data across NVIDIA's on-premises and hybrid environments. This platform is the storage backbone for NVIDIA's AI infrastructure, enabling researchers and engineers to reliably store massive datasets, model checkpoints, and training artifacts at scale. We are seeking a seasoned Engineering Manager to lead the Object Storage platform team with both dev and SRE responsibilities. You will own the full software development and service delivery lifecycle - from roadmap planning through production operations - while building a high-performance engineering culture grounded in technical excellence, service reliability, and continuous delivery.

What You'll Be Doing:

Lead and grow an engineering organization, setting a high bar for software quality, service reliability, and engineering culture.
Own roadmap execution for NVIDIA's internal object storage service - partnering with internal customers, Product Management, and Architecture to translate multi-quarter goals into clear engineering plans with measurable milestones.
Drive development and operation of NVIDIA's S3-compatible object storage service, ensuring it meets the performance, durability, availability, and scalability demands of AI training and inference workloads at exabyte scale.
Collaborate with the Data Movement and GPU compute teams - identifying and minimizing I/O bottlenecks and keeping accelerators fully utilized.
Define and uphold service reliability standards: SLOs, capacity planning, incident response, root cause analysis, and on-call hygiene. Partner with global SRE teams to ensure the seamless 24/7 availability and operability that the customers depend on.
Establish and enforce engineering standards: design reviews, code quality, CI/CD practices, automated testing, and production observability. Recruit, mentor, and develop engineers across all levels, conducting regular 1:1s, performance cycles, and career growth conversations. Build a diverse, inclusive, and high-retention team.
Collaborate closely with Platform, Networking, Security and global SRE teams to ensure smooth transitions from development to production and rapid resolution of customer-impacting issues.
Champion the adoption of AI-assisted development tooling - coding assistants, agentic workflows, and automated testing harnesses - to accelerate team productivity and raise engineering output. Represent the Object Storage engineering organization to senior leadership, providing transparent status updates, surfacing risks early, and advocating for the resources needed to succeed.

What We Need to See:

BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
10+ overall years of software engineering experience, including 4+ years in an engineering management role leading teams of 10 or more engineers delivering production services at scale.
Deep technical background in distributed storage systems, object storage platforms, or large-scale cloud data services; hands-on development experience in Go, C++, Python, or equivalent systems languages.
Direct, hands-on experience building or scaling S3-compatible object storage systems in a production cloud or private cloud environment - with demonstrable improvements in throughput, durability, or operational efficiency.
Demonstrated experience building or operating cloud storage services - with accountability for reliability, performance, and capacity at scale in a production environment.
Proven track record of shipping production software on time - managing scope, risk, and delivery across multiple concurrent workstreams.
Strong experience with modern software development and service delivery practices: CI/CD, automated testing, SLO-based reliability, production observability, and incident management.
Demonstrated ability to attract, develop, and retain strong engineering talent in a driven environment, with a track record of growing engineers into senior and staff-level roles.
Excellent written and verbal communication - able to translate complex technical trade-offs for product partners and engineering constraints for executive audiences.

Ways to Stand Out from the crowd:

Prior experience designing and operating internal cloud storage services (IaaS/PaaS) with well-defined SLAs, metered usage, and internal customer-facing APIs.
Background in effective observability and system reliability engineering of distributed systems.
Familiarity with AI infrastructure storage patterns: checkpoint storage, dataset versioning, write-once-read-many (WORM) access patterns, or storage-aware scheduling at 10k+ GPU scale. Experience managing capacity planning, cost optimization, and chargeback modeling for shared internal storage infrastructure.
Track record of adopting AI-assisted development tools to meaningfully improve team productivity, with concrete examples. History of growing engineers into senior ICs or leads, and building diverse, inclusive teams with strong retention.

NVIDIA's Object Storage Platform and data movement tooling form a critical layer in keeping NVIDIA's GPU fleet productive - every model trained, every checkpoint saved, and every dataset staged passes through the systems this team builds and operates. This is a high-impact role at the center of NVIDIA's AI infrastructure.

We need passionate, hard-working and creative people to help us take on more of these unique opportunities in deep learning cloud solutions. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 8, 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.

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