Sales Lead North America Dell Technologies jobs at Nvidia

What you'll be doing:

• Serve as the primary, high-impact contributor on complex features. Dedicate significant time to producing production code across the full stack, including UI, APIs, services, and infrastructure.

• Code Review Leadership & Quality Assurance: Lead the code review process, setting and implementing thorough coding standards, performance benchmarks, and architectural integrity to ensure all merged code is high-quality, maintainable, and robust.

• Architectural Ownership & Portability: Define and own the long-term technical roadmap, architecture, and design. This includes the required assurance that the deployment pipelines and services are platform-agnostic and easily deployable across the broader NVIDIA ecosystem, deliberately avoiding internal infrastructure dependencies.

• Foundation Model Deployment Strategy: Lead the strategic implementation of web services and efficient batch processing queues to seamlessly integrate and operationalize our world foundation models into the customer-facing platform.

• System Performance & Reliability: Implement and make sure standards for production-grade performance, monitoring, and fault tolerance across all services. Proactively identify and resolve systemic technical debt and scalability bottlenecks.

• Deployment & Operational Excellence: Take ultimate ownership of the CI/CD pipelines, container orchestration strategy (Kubernetes/Helm), and operational readiness, ensuring seamless scalability and reliability in production.

• Team Mentorship & Guidance: Mentor and guide the engineering team on advanced practices in full-stack development, distributed systems design, performance optimization, and clean, portable code architecture.

• Multi-functional Partnership: Act as the key technical liaison, translating complex requirements from Product Managers, ML Engineers, and Data Scientists into robust, portable, and implementable designs.

What we need to see:

This role requires a proven track record of significant experience and technical mastery:

• Minimum 12+ years of hands-on experience developing and deploying scalable full-stack web services in a cloud environment.

• Proven Tech Lead or equivalent Senior/Staff level experience with demonstrated ability to define system architecture, mentor engineers, and take end-to-end technical ownership of a major platform while remaining deeply active in coding and code reviews.

• Expert-level proficiency in designing and scaling distributed microservices architectures using gRPC and REST APIs.

• Deep expertise in modern frontend frameworks and building highly responsive, data-intensive UIs capable of managing high-frequency data flows.

• Direct experience designing and deploying containerized applications that use a GPU (e.g., NVIDIA Container Toolkit).

• Experience with MaaS (Model-as-a-Service) patterns and serving large machine learning models as high-throughput endpoints.

• Mastery of container orchestration, including Kubernetes and Helm for sophisticated, portable, multi-service production deployments.

• Proficiency in backend languages such as Python and/or Go, and TypeScript for the frontend.

• Strong practical experience with Cloud Infrastructure (AWS S3) and running complex data storage/access patterns (SQL, key-value stores).

• Expertise in CI/CD practices (GitLab, Jenkins) with a focus on automation, testing, and improving deployment velocity and stability.

• Bachelor's degree (B.S.) or equivalent experience in Computer Science, Software Engineering, Electrical Engineering, or a closely related technical field; Master's degree (M.S.) preferred

Ways to stand out from the crowd:

These skills represent a strong alignment with our specific domain challenges:

• Experience in data querying platforms such as Apache Druid, ClickHouse, or Elasticsearch.

• Familiarity with autonomous vehicle simulation environments (e.g., Carla) and synthetic data generation pipelines using foundational models.

What you’ll be doing:

• Participate in an international team of software engineers working on products for testing NVIDIA products.

• Oversee the design, implementation, and maintenance of scalable test automation frameworks.

• Manage, mentor, and guide a team of automation engineers.

• Design and implement robust, maintainable, and efficient automation test suite.

• Work with Continuous integration systems and regression tools, automate builds, and test suites, generate test reports, isolate and classify failures and review new degradation.

• Promote a culture of innovation, quality, and accountability. Bring SONiC NOS to shine in customer's view.

What we need to see:

• B.Sc. degree or equivalent experience in Engineering/Computer Science/related field.

• 8+ overall years of experience in software development and testing. 2+ years of experience in a leadership role.

• Proven experience in a leadership role, with a track record of successfully leading scrums and projects.

• Intrinsically motivated with a desire for automation programming.

• Strong programming skills in Python.

• Strong technical abilities, problem-solving skills, coding, and design skills.

• Ability to lead feature development, take full ownership and deliver independently.

• Linux knowledge: have a general understanding of Linux operation system concepts.

Ways to stand out from the crowd:

• Strong communication and interpersonal skills, with the ability to motivate and inspire others.

• Knowledge in one or more Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols.

• Extensive experience with automation frameworks (e.g., Selenium, Robot Framework, PyTest) and scripting languages (e.g., Python, Java).

What you'll be doing:

• Responsible for the management of the logistics execution operational programs and projects, and partner performance.

• Setting of goals and performance objectives, and monitoring and adjusting as needed to achieve required results. Drives activities within Logistics to assure peak performance, operations efficiency, and productivity.

• Develop and deliver programs and projects from inception to close-out, on time and within scope and budget. Manage and maintain cost-effective delivery of all services.

• Develop recommendations and presentations to Executive Management on matters pertaining to operational changes, rule and process updates, incident investigation and response, long term strategies, and engineering project operations impacts.

• Lead the development of logistics programs, including building out future AI/automation capability. Assist in managing logistics, implementation sequence and schedules, testing, training, and operations for replacement or modification projects for command center technical systems.

• Collaborate in the development, implementation, and administration of business continuity plans (accidents, emergencies, service disruptions, inclement weather, natural disasters, and special events) and business continuity related communication for internal and external partners.

• Evaluate, develop, recommend, and communicate new or revised policies, programs and procedures that impact cross functional operations, including policies, Standard Operating Procedures (SOP), communication protocols, and business processes.

• Keep current with industry guidelines including consistent SOP application and usage, development of Key Performance Indicators and reporting.

What we need to See:

• Bachelor’s degree in Transportation, Logistics, Supply Chain or a related field (or equivalent experience).

• Minimum of 8 years of experience in global Transportation, Logistics, Supply Chain, ideally within the high-tech or semiconductor industry.

• Excellent interpersonal skills with the ability to influence and align cross-functional teams and partners.

• Strong sense of ownership, integrity, and initiative in a collaborative and fast-paced environment.

• Deep analytical skills with a focus on accuracy, thoroughness, and data-driven decision-making.

• Strong interpersonal, planning, and prioritization skills to manage multiple programs and deadlines.

What you’ll be doing:

• Lead with AI and sales insights, establishing credible relationships across Cisco sales.

• Develop and implement Cisco Sales GTM plan to meet quarterly and annual revenue targets.

• Become proficient in NVIDIA AI and Accelerated Computing

• Work with NVIDIA GTM and Sales teams, as well as Cisco Sales teams, to build the sales plan, define sales metrics, drive to goals, and track/report progress.

• Facilitate alignment with NVIDIA sellers and conduct in-field training/enablement with Cisco, leading campaigns and sales plays that provide substantial value for both Cisco and NVIDIA.

• Collaborate with the Channel GTM team, bringing to bear the Channel as a force multiplier.

• Build and track the sales pipeline, forecast demand, and deliver to forecast quarterly.

• Capture insights on deal wins and losses, using this information to build a stronger pipeline.

• Set up QBRs to review the sell-through of joint solutions and track revenue goals.

• Drive customer, sales, and ecosystem participation at Cisco, NVIDIA, and industry even.

What we need to see:

• BS or equivalent experience in Engineering, Computer Science, or a related technical field.

• 12+ years of a successful track record in sales and business development.

• A dedicated professional with a proven history of driving partner sales.

• Strong technical competence with the ability to translate technology into business benefits.

• Excellent presentation and communication skills, with command of the English language.

• Ready to travel and showcase NVIDIA and Cisco at marketing events.

Ways to stand out from the crowd:

• Ability to articulate NVIDIA AI Strategy exceptionally well.

• Proficiency in Data Center, Cloud, On-premises sales, and AI Computing Sales.

• Proficiency in NVIDIA processors and AI, Accelerated Computing.

• Experience selling with T1 OEM, Channel, and GSI.

What you'll be doing:

• Design, develop, and implement agentic AI blueprints (applications) that show enterprises how to utilize and deploy this technology.

• Lead technical reviews and provide mentorship, guiding the engineering team in building production-grade workflows and extending core GenAI SDK capabilities.

• Develop proof-of-concept workflows rooted in first principles that apply modern data science techniques to GenAI use cases.

• Collaborate cross-functionally with product, research, and infrastructure teams to evolve NVIDIA's agentic ecosystem, including integrations between the NeMo Agent Toolkit and other NVIDIA products and services such as the NeMo Framework, NIMs, and NVIDIA Blueprints.

• Drive performance optimization for agentic applications across the data center, focusing on improving accuracy, reducing latency, and growing efficiency.

• Establish engineering standards and best practices for developing, testing, and deploying agentic AI applications across distributed environments.

What we need to see:

• BS in Computer Engineering, Computer Science, Data Science, or a related field, or equivalent experience; MS or PhD preferred

• 8+ years of software engineering experience, including 2+ years as tech lead.

• Proficient in Python, with at least 6+ years of experience building Python libraries or applications for enterprise customers.

• Experience with GenAI application development using LLM frameworks (e.g., Langchain, Llamaindex, or AutoGen), evaluation systems (e.g., RAGAs), and observability platforms (e.g., Arize Phoenix, W&B Weave, or LangSmith).

• Experience using and understanding of agentic frameworks.

• Proficient in distributed orchestration and communication frameworks (e.g., Kafka, Ray).

• Ability to quickly learn and apply new technologies and libraries.

• Self-starter with a proactive work ethic, capable of working independently and successfully within a distributed team.

• Excellent communication and collaboration skills across distributed, cross-functional teams.

Ways to stand out from the crowd:

• Demonstrated leadership in building and scaling agentic AI applications in production.

• Experience developing your own agents in Python or a similar language (e.g., Go).

• Concrete examples/code of how you have profiled code in the past to identify performance bottlenecks and examples of how you mitigated these.

• Experience developing for GPU platforms and familiarity with NVIDIA technologies (e.g., CUDA, TensorRT, Triton, NeMo) and LLM serving frameworks (e.g., Dynamo, vLLM, SGLang).

• Experience with RAG systems and communication protocols (e.g., MCP, A2A).

What you will be doing:

• Responsible for all aspects of strategy creation and implementation, forecasting, sales account management, training, and education to OEM customers

• Assist account management teams through full sales cycles with activities including the quote, special pricing, and deal tracking, rebate, EOL terms, and revenue management.

• Work with various NVIDIA internal partners (Operations, Finance, Credit, Sales Management, Product Management) to drive continuity of supply and process improvement.

• Participate in the development of regional Sales Operations processes to streamline workflows. Take the lead in performing daily sales administration and operations tasks including forecast management, customer demand fulfillment, leading customer level supply commitment, coordinating NPI, EOL, VMI supply, etc.

What we need to see:

• 5+ years Sales Operations experience with Tier one OEM

• Bachelor's degree or equivalent experience

• Strong revenue reporting and sales / financial analytical skills

• Strong consultative and project management skills

• Highly detailed oriented. Maintain the confidentiality of critical information

• Ability to work efficiently in a sophisticated high-tech environment

• Knowledge of the Semiconductor industry and experience in supply chain management

• High energy and positive problem-solving demeanor

• Ability to multi-task and strong organization skills. Proactive, creative, flexible, and use good judgment to accomplish tasks on schedule with minimal direction and supervision

Ways to stand out from the crowd:

• Thrive in a fast-paced, constantly evolving environment and quickly learn new concepts.

• Self- starter along with social and influencing abilities, work well across functional teams.

• Ability to be proactive, get things done, highly motivated and willing to work flexible schedule to meet business needs.

• High level of ownership, accountability, seek new initiative. Effective collaboration and communication, both written and oral, skills

What you’ll be doing:

• Training Delivery: Conduct weekly face-to-face training sessions for NVIDIA’s customers and partners, with a willingness to travel up to 25% as required.

• Content Development: Develop training materials based on NVIDIA's innovative AI and data center technologies and sales motions, partnering with SMEs to design course proposals, and ensure training content is aligned with company strategies.

• Be the voice of our partners: actively listen to the workshop audience, understand their concerns and questions, and translate their feedback into actionable ideas to enhance our training content.

• Train the Trainers: Recruit and train internal team members to deliver specific sessions of workshops.

• Instructor Support: Develop instructor delivery notes, certification criteria, and assessment materials.

• Quality Assurance: Participate in internal test deliveries to ensure high-quality learning experiences. Actively seek feedback from students, and industry partners to enhance course content.

What we need to see:

• Solid proficiency with AI concepts, including Machine Learning, Generative AI and Agentic AI, with a proven ability to lead the buyer's journey and recommend accelerated computing solutions

• Skilled at delivering engaging training sessions and presentations, with the ability to translate complex technical concepts into clear, relatable insights that resonate with sales audiences.

• BS/MS or equivalent experience in computer science, mathematics, engineering, or a comparable depth of knowledge and background.

• Minimum 12 years of field experience, with at least 5 years in sales roles related to data center technologies supporting AI such as storage, networking, or accelerated computing. Training delivery experience is required.

• Strong communication, interpersonal, and writing skills in English.

• Ability to work multi-functionally across different levels of a matrixed organization.

Ways to stand out from the crowd:

• Experience in delivering and developing in-depth training for selling audiences.

• Familiarity with the NVIDIA Partner ecosystem, NVIDIA’s software stack, hardware platforms, and the broad range of industries and use cases NVIDIA enables.

• Demonstrated expertise in Sales positions

• Demonstrated skill in using AI tools (e.g., generative AI, copilots) to boost your personal efficiency and instructional impact.

• A master’s degree or equivalent experience in business, computer science, mathematics, engineering, or a related field is preferred.