Ai Research Scientist Engineering jobs at Dell in United States, Austin
Dell Technical Staff AI Architect - Agentic GenAI United States, Texas, Austin
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In the role as a Senior Principal AI Engineer, you will lead our AI/GEN AI initiatives. You will be responsible forarchitectingAI/GEN AI solutions, executing our GEN AI/AI strategy, and driving measurable business impact. The Senior AI Engineer will transform our Customer Support business towards a fully autonomous agentic AI system. This role requires an individual capable of translating strategic goals into tangible, high-impact AI solutions, fostering a culture of connection, innovation, and excellence within a dynamic, collaborative environment.
You will
- Own the full AI/ML lifecycle from prototype to deployment, ensuring the solutions are robust, scalable, and aligned with AI-product needs
- Design, develop, and implement AI agents capable of autonomous decision-making and action
- Stay current with the latest AI advancements and proactively apply new technologies to enhance team projects and committed to drive innovation
- Be a thought leader by inspiring and driving innovation, promoting, and supporting best practices, and mentoring the development of IPs, research publications and white papers
Essential Requirements:
- 15+ years’ experience of applied science or complex software systems, especially involving deep learning, machine learning, LLMs that have been successfully delivered
- Advanced experience with python, ETL pipelines (Airflow preferred), data warehousing concepts
- Strong software development skills, particularly in Python, with experience working with AI frameworks and tools in cloud environments; Knowledge of ML, NLP, Information Retrieval, Recommender Systems and LLMs
- Experience with container & orchestration technologies (Docker, Kubernetes etc) and cloud platforms (AWS, GCP or Azure); Experience with training, fine-tuning, and applying large language models (LLMs) for agentic AI application
- Proficiency in designing and developing multi-agent systems where multiple AI agents collaborate to achieve complex tasks
Desirable Requirements
- PhD or Master's degree in Technology, Computer Science, Machine Learning or equivalent quantitative field
- Familiarity leveraging graph-based techniques, semantic search, hybrid search systems and implementing solutions that combine traditional IR methods with machine learning models to enhance search relevancy accuracy and efficiency. Familiarity with large scale data handling when dealing with telemetry systems.
- Publication of research papers, patents, or contributions to open-source projects. Recognition as a thought leader in AI, ML, or NLP fields is highly valued.
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Dell Senior Advisor Data Engineering United States, Texas, Austin
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the specialistsor email.
, Singapore, Seoul,or Tokyo, to do the best work of your career and make a profound social impact.
In theNext Generation Sales Academy (NGSA),you will engage in an intense program that will prepare you for long-term success within the Dell Technologies Sales organization.Over the course of two to three years, you will join our organization as an Associate Inside Sales Representative where you’ll receive premier training from both a technology and sales perspective.Next, you will have the opportunity to be promoted toan InsideSales Representative, where you will carry a quota and run all aspects of a sales cycle. From there, you can take your career to the next level in outside field sales, sales management, or a specialty selling role. We often see those who are successful in this program having 2-3 jobs in your first three years, all with more responsibility, larger business contribution, and an increase in financial earnings.
You will:
Be immersed in the sales and technology industry by talking to and building relationships with customers as well as qualifying opportunities to drive company revenue
Have consistent engagement and collaboration with the NGSA management team, inside sales teams, field sales teams, renewals teams, and development team
Participate in whiteboard competitions, group messaging competitions, and meet metrics expectations
Essential Requirements
Have 2+ years of experience in sales or customer service
to pursue a dynamic sales career, with a focus on driving growth and innovation within datacentres, generative AI, and digital infrastructure.
Strong verbal and written communication skills
Relationship building and interpersonal skills
Proficient in both English and the local language, enabling effective communication across diverse customer and team interactions.
Strong desire
Desirable Requirements
Complete bachelor's degree
Candidate with strong work ethic, a desire to learn, is a self-starter, collaborative, driven, and coachable
Ability to influence others and convey a sense of urgency to drive issues to closure
2-3 years of proven experience engaging with customers—preferably in a sale, customer service, or consultative environment—withstrong communicationand relationship-building skills.
Willingness torelocateand work from Dell Technologies Hub locations, promoting greater collaboration and access to core company resources.
Genuine commitment to building a long-term career in sales or technology, with ongoing enthusiasm for learning, professional development, and advancement.
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a
of everything we do. Iflooking for you.
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Dell Network Connectivity Technologist Client-USB Thunderbolt AI ... United States, Texas, Austin
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You will:
- Contribute to content development for key product lines and solutions, such as developer-focused content for APIs, SDKs, and solutions.
- Apply AI-assisted authoring, prompt engineering, and automation.
- Partner with product managers, engineers, and designers to define content needs.
- Contribute to innovation projects (AI, chatbots, interactive tutorials, video-based learning).
Essential Requirements:
- 3 to 5 years in technical structured authoring (DITA, XML, Markdown), UX/content design, or equivalent.
- Basic knowledge of content tools, markup languages, and graphics.
- Strong communication skills and curiosity to learn emerging skills in modern information areas such as media, technical content, APIs, and UX practices.
- Solution-oriented approach for creating great technology information-driven experiences
Desirable Requirements
- Experience in conversational AI, interactive tutorials, and AI-powered content workflows.
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Dell Engineering Technologist CTO Office Pursuits On-Device AI United States, Texas, Austin
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What you’ll achieve
As an, you will lead efforts to make on-device AI real for our customers. This role will be pivotal in turning the on-device AI story into more than just a story, you will hunt for the opportunities that are technically feasible, “sell” customers on giving us their time and insights and be a bridge to our engineering team to develop proofs of concept (POC) for stakeholders.
Manage Development of POCs, Co-Innovations and non-hardware alpha products:
- Source and oversee the creation and development of POCs, co-innovation projects and non-hardware alpha products
- Collaborate with colleagues in the CTO office to define scope, features, schedules etc. to build products quickly
Evaluate and Transition Projects:
- Evaluate completed co-innovation projects to determine if they require further investigation or development work
- Transition successful POCs and co-innovations into Dell Validated Designs or alpha builds
- Hand off alpha builds to product engineering, monitor their work at a high level and provide assistance as needed
Support CTO Office Initiatives:
- Respond to requests for CTO-level materials, event participation, customer engagements and other diplomatic considerations
- Represent the office of the CTO internally and externally as a subject matter expert on our strategy, concept vehicles, POCs, co-innovations and alpha projects
Essential Requirements:
- 15+ years of related experience or equivalent skill; must have experience with, or an understanding of, on-device AI architecture (how AI models are designed, optimized and deployed to run directly on consumer hardware devices)
- Experience driving innovation programs and early-stage product development in a fast-paced technology-driven environment
- Highly skilled in creating, assessing and testing new ideas; must have a solid understanding of the product development process and have the ability to prototype quickly to test hypotheses and determine feasibility
- Strategic mindset with a passion for emerging technologies and innovations in personal computing with the ability to apply learnings creatively and quickly
- Executive presence with exceptional public speaking skills; will develop and deliver presentations to customers, executives and industry stakeholders; Experience as a key contributor or presenter at applicable industry leading events
Desirable Requirements:
- Typically requires 10+ years of related experience in a professional role with a Bachelor’s degree; or 8+ years and a Master’s degree; or 6+ years and a PhD; or equivalent experience. Not meeting the years or degree desired requirements will not preclude a candidate
- Exposure to, or familiarity with, any of these technologies: CUDA, Ollama, Llama.cpp, LM Studio, LocalAI, Unsloth, and non-hardware AI frameworks
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Dell Principal Data Scientist United States, Texas, Austin
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Data Scientiston our
As ayou will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.
You will:
Solve business and customer issues utilizing AI/ML
Build prototypes and scalable AI/ML solutions that will be integrated into software products
Collaborate with software engineers, business stakeholders and product owners in an Agile environment
Have complete ownership of model outcomes and drive continuous improvement
Essential Requirements
10+ years of experience in a related role or equivalentskill/education; mustinclude deep knowledge of data science principles.
Strong coding skills in Python and SQL and machine Learning knowledge (Deep learning, NLP, Classification, Forecasting, Regression, GenAI etc. on large datasets) with experience in ML model deployment
Ability to work with internal stakeholders to transfer business questions into quantitative problem statements
Ability to effectively communicate data science progress to non-technical internal stakeholders and ability to lead a team of data scientists is a plus
Desirable Requirements
Master’s or PhD in a quantitative discipline.
Ability to act as a coach to the team and strongproduct/technology/industryknowledge
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Dell Wireless Engineering Technologist United States, Texas, Austin
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Job Description:
- You will:
- Own and drive incubation activities across functional technical disciplines to explore and build future experiences for our users
- Participate as lead technical contributor and key team member in concept ideation and definition of our innovation projects
- Work closely with Design, Research, and Business Strategy peers, as well as partners or vendors, to bring together all necessary ingredients for experience concepts
- Develop intellectual property and engage with product teams to bring innovative experiences to our customers
- Essential requirements:
- Broad technical leadership skills with experience in incubation or product development, with 8+ years’ experience. excellent communication and partnership skills with ability to translate experience objectives into technical components and milestones
- Experience in navigating and driving projects forward in a matrix organization and across partners/vendors/ODMs. Creative and resourceful problem solver, comfortable with ambiguity
- Experience in developing embedded systems, firmware on Windows, Linux and/or Android platforms. Familiarity with version control systems (e.g., Git). Experience in evaluating new technologies
- Proficiency in full-stack development. Ability to integrate AI/ML features into use cases and demonstrations. Broad knowledge of various programming languages such as Python, Javascript, C/C++/C#
- Independent and team player, experience working in multi-functional teams with designers / strategists / researchers
Application closing date:
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Dell Principal Data Scientist United States, Texas, Austin
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•Contribute to the design and architecture of high-quality, complex systems and software/storage environments
•Prepare, review and evaluate software/storage specifications for products and systems
•Contribute to the development and implementation of test strategies for complex software products and systems/for storage products and systems
Essential Requirements
- Experience in all phases of software development: feasibility, design, implementation, integration, test and delivery.Design, develop, and maintain Linux kernel-level device drivers for storage subsystems
- Expertise in Linux kernel, SCSI, SCST, Fiber Channel, Virtual Tape Libraries, I/O device drivers.Expertise in persistent memory, hardware assisted compression technologies
- Debug and resolve complex kernel and driver-level issues in production environments. Strong problem solving, troubleshooting, diagnostic skills
- Experience in one or more of the following languages: C, Python, Go.Knowledge of version control, bug tracking systems (Git, JIRA)
- Strong communication skills and an ability to articulate technical design while understanding business requirements, with the ability to debate and collaborate with other team members
Desirable Requirements
- Experience in Storage domain (SAN/NAS/Virtualization).
- Experience in developing software for software-defined infrastructure, including hybrid cloud/on-prem and multi-cloud environments.
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In the role as a Senior Principal AI Engineer, you will lead our AI/GEN AI initiatives. You will be responsible forarchitectingAI/GEN AI solutions, executing our GEN AI/AI strategy, and driving measurable business impact. The Senior AI Engineer will transform our Customer Support business towards a fully autonomous agentic AI system. This role requires an individual capable of translating strategic goals into tangible, high-impact AI solutions, fostering a culture of connection, innovation, and excellence within a dynamic, collaborative environment.
You will
- Own the full AI/ML lifecycle from prototype to deployment, ensuring the solutions are robust, scalable, and aligned with AI-product needs
- Design, develop, and implement AI agents capable of autonomous decision-making and action
- Stay current with the latest AI advancements and proactively apply new technologies to enhance team projects and committed to drive innovation
- Be a thought leader by inspiring and driving innovation, promoting, and supporting best practices, and mentoring the development of IPs, research publications and white papers
Essential Requirements:
- 15+ years’ experience of applied science or complex software systems, especially involving deep learning, machine learning, LLMs that have been successfully delivered
- Advanced experience with python, ETL pipelines (Airflow preferred), data warehousing concepts
- Strong software development skills, particularly in Python, with experience working with AI frameworks and tools in cloud environments; Knowledge of ML, NLP, Information Retrieval, Recommender Systems and LLMs
- Experience with container & orchestration technologies (Docker, Kubernetes etc) and cloud platforms (AWS, GCP or Azure); Experience with training, fine-tuning, and applying large language models (LLMs) for agentic AI application
- Proficiency in designing and developing multi-agent systems where multiple AI agents collaborate to achieve complex tasks
Desirable Requirements
- PhD or Master's degree in Technology, Computer Science, Machine Learning or equivalent quantitative field
- Familiarity leveraging graph-based techniques, semantic search, hybrid search systems and implementing solutions that combine traditional IR methods with machine learning models to enhance search relevancy accuracy and efficiency. Familiarity with large scale data handling when dealing with telemetry systems.
- Publication of research papers, patents, or contributions to open-source projects. Recognition as a thought leader in AI, ML, or NLP fields is highly valued.
These jobs might be a good fit
