819 matching jobs for “Full-stack Engineer 4”

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Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.

Capital One Financial

Director, Data Scientist - Global Payment Network

Riverwoods, IL +3 locations

… Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics At least 4 years of experience leveraging open source …

Added Oct 27, 2026

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Cisco Systems

Solutions Designer, Splunk Montreal, Quebec, Canada

Montréal, Quebec, Canada

Pay posted by employer$228,900–$289,600

… to close on: 11/26/2026 Meet the Team Splunk is seeking a highly skilled and strategic Senior Solutions Engineer to join our Eastern Canada team. Splunk, a Cisco company, is building a safer and more resilient digital …

Added Oct 27, 2026

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Data Science Intern

Sant Cugat del Vallès, Catalonia, Spain

Part time
Internship

(What you'll do) Build end-to-end applications. Design, develop, and ship full-stack solutions — front-end and back-end — in Python and JavaScript that turn business problems into working …

Added Oct 22, 2026

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Prudential Financial

Director, AI Product & MarTech Enablement

Newark, New Jersey, United States

Pay posted by employer$147,100–$220,700

… (PTO), and leave of absences, such as parental and military leave. 401(k) plan with company match (up to 4%). Company-funded pension plan. Wellness Programs including up to $1,600 a year for reimbursement of items …

Added Oct 27, 2026

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Capital One Financial

Director, Data Scientist - External Data Strategy

McLean, Virginia, United States +1 location

Added Oct 27, 2026

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Capital One Financial

Manager, Data Science - AI Foundations

New York City, New York, United States +2 locations

… Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, …

Added Oct 27, 2026

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Capital One Financial

Manager, Data Science - AI Foundations

New York City, New York, United States +2 locations

Added Oct 27, 2026

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Capital One Financial

Manager Data Science - Global Payment Network AI Foundations

Riverwoods, IL +3 locations 2 postings

Added Oct 27, 2026

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Capital One Financial

Manager, Data Science - AI Foundations

New York City, New York, United States +2 locations

Added Oct 27, 2026

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Nvidia

Developer Relations Manager – AI Natives

Santa Clara, California, United States +1 location

… for this position are: 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 …

Added Oct 31, 2026

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Nvidia

Manager, First Time Deployment - NVIS

Santa Clara, California, United States

… The base salary range is 184,000 USD - 287,500 USD for Level 3, and 216,000 USD - 345,000 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least …

Added Oct 27, 2026

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Cisco Systems

Account Executive - Splunk (Northeast)

Boxborough, Massachusetts, US +3 locations

Pay posted by employer$269,300–$360,800

… for non-exempt employees 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees** receive 16 days of paid …

Added Oct 27, 2026

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Cisco Systems

Senior Technical Marketing Engineering Leader

Milpitas, California, United States

Pay posted by employer$194,600–$285,700

… realities that empower our customers to lead in the AI era. Your Impact As a Senior Technical Marketing Engineer and Technical Leader, you will serve as the primary technical authority for our AI infrastructure platform, …

Added Oct 27, 2026

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Capital One Financial

Manager, Data Scientist - Bureau Data Strategy

McLean, Virginia, United States +1 location

Added Oct 27, 2026

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Capital One Financial

Senior Director, Data Scientist - Global Payment Network

Riverwoods, IL +3 locations

… plus 8 years of experience in data analytics, or PhD plus 5 years of experience in data analytics At least 4 years of experience in open source programming languages for large scale data analysis At least 4 years of …

Added Oct 27, 2026

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Capital One Financial

Manager, Data Scientist - SBB Marketing & Deposit Strategy

McLean, Virginia, United States

Added Nov 5, 2026

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Capital One Financial

Manager, Data Science - Model Risk Office

McLean, Virginia, United States

Added Oct 31, 2026

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Capital One Financial

Manager, Data Scientist -Financial Services- Pricing

Plano, Texas, United States +1 location

Added Oct 29, 2026

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Capital One Financial

Manager, Data Scientist - Card Mainstreet

McLean, Virginia, United States +2 locations

Added Oct 27, 2026

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Capital One Financial

Director, Data Scientist

McLean, Virginia, United States +1 location

Added Oct 27, 2026

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Nvidia

Developer Relations Manager – AI Natives

Santa Clara, California, United States +1 more

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About this opportunity

Original employer description

We are seeking a visionary Developer Relations Manager to engage with the next generation of AI-native software companies—the builders creating entirely new categories of products powered by generative models, agents, and multimodal AI. In this role, you will partner directly with AI-native founders, product leaders, and engineering teams to help them design, optimize, and scale their AI platforms on NVIDIA technologies. You will guide companies building agentic systems, AI copilots, developer tools, reasoning models, and multimodal AI applications, helping them accelerate training, optimize inference, and deliver world-class AI experiences to millions of users. The ideal candidate combines deep technical expertise in AI in systems, developer platforms, and large-scale inference infrastructure with a passion for working alongside the world’s most ambitious startup founders and engineers.

What you will be doing:

Serve as a trusted technical advisor to the next generation of AI-native companies building category-defining applications such as developer copilots, AI search engines, agentic platforms, and multimodal creative tools.
Work directly with startup founders and engineering teams to architect and optimize AI workloads using NVIDIA technologies including CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NVIDIA NeMo, NIM microservices, and GPU-accelerated data processing frameworks.
Help AI-native companies scale training and inference infrastructure, optimizing model performance, cost efficiency, and latency across NVIDIA accelerated computing platforms.
Guide startups through complex architectural decisions including model optimization, inference scaling, agent frameworks, multimodal pipelines, and real-time AI systems.
Collaborate closely with NVIDIA engineering, research, product, and go-to-market teams to identify emerging AI-native categories and influence NVIDIA’s platform roadmap.
Build strong relationships with founders, CTOs, and technical leaders across the AI-native ecosystem to ensure NVIDIA is the platform of choice for the most innovative AI companies.
Support the creation of reference architectures, AI blueprints, and best practices that enable AI-native companies to deploy scalable AI applications and agentic systems.
Partner with NVIDIA’s Industry Business Development teams, Solutions Architects, and Account Managers to accelerate adoption of NVIDIA technologies across high-growth AI-native companies.

What we need to see:

BS/MS degree or equivalent experience in Computer Science, Engineering, or a related field.
5+ years of experience in software engineering, developer relations, solutions architecture, technical partnerships, or product management within AI, developer platforms, or large-scale software systems.
Hands-on experience building or scaling AI-powered products, developer platforms, or large-scale cloud services.
Strong expertise in machine learning infrastructure, model serving, distributed systems, and real-time AI applications.
Deep understanding of the modern AI stack including LLMs, agent frameworks, multimodal models, and inference optimization.
Proven ability to work closely with engineering teams and startup founders to influence product architecture and technical roadmaps.
Exceptional communication skills and the ability to explain complex AI systems to audiences ranging from engineers to startup founders and executives.
Experience working within fast-moving startup environments or supporting high-growth developer ecosystems.

Ways to Stand Out from the crowd:

Experience working with AI-native startups building developer tools, AI copilots, agent platforms, search systems, or multimodal applications.
Hands-on experience optimizing LLM training or inference workloads using frameworks such as TensorRT-LLM, Triton Inference Server, CUDA, RAPIDS, or similar GPU acceleration technologies.
Experience building or scaling AI infrastructure platforms, developer tools, or agent frameworks used by large developer communities.
Demonstrated success working directly with startup founders and early engineering teams to shape product architecture and platform strategy while also helping them scale to full out platform companies.
Experience contributing to open-source AI frameworks or developer ecosystems.

With competitive salaries and a generous benefits package, we are 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 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 other objective job-related factors. The expected base salary ranges for this position are:
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 November 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.

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