Solutions Engineer

Cisco Systems, Inc.-posted about 1 month ago
$210,000 - $264,600/Yr
Full-time • Mid Level
Carlsbad, CA
5,001-10,000 employees
Professional, Scientific, and Technical Services
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We are seeking a Solutions Engineer to join our dynamic sales team. As an SE, you will drive the adoption of our Data Center networking, Compute and AI solutions - with an emphasis on Data Center Networking - across various industries. You will identify potential clients, understand their specific needs, and provide tailored solutions that enhance their business operations. This role requires a deep understanding of Data Center Networking. As a Cloud and AI Infrastructure Solutions Engineer, you will play a pivotal role in facilitating the success of the Cisco Field Sales teams in selling the full suite of Cloud and AI infrastructure solutions. You will help them position data center virtualization and systems architecture solutions effectively against competing offerings. You will be passionate about pre-sales engineering activities, demonstrating solutions and architectures in Cloud and AI infrastructure. The Cloud + AI Infrastructure team delivers one scalable strategy with local execution for data center customer transformation and growth. We are the worldwide go-to-market compute and data center networking engine gathering market transitions and allowing sellers to expand growth for customers and Cisco. Alongside our colleagues, Cloud & AI Infrastructure builds the sales strategy, activates sellers and technical communities, and accelerates selling. You will build awareness, fostering education and driving energy for AI with both internal and external team members, partners, etc. You will also act as a link between technical teams, account teams, executives, partners/customers. In addition, you will show case Data Center Networking, Compute and AI solutions/products, its potential and promote its tactical and technical responsibilities. You will play a meaningful role in the design, development and promotion of these Solutions and address challenges. You will need to travel as needed to meet with clients and attend industry events.

  • Build awareness, fostering education and driving energy for AI with both internal and external team members, partners, etc.
  • Act as a link between technical teams, account teams, executives, partners/customers.
  • Show case Data Center Networking, Compute and AI solutions/products, its potential and promote its tactical and technical responsibilities.
  • Play a meaningful role in the design, development and promotion of these Solutions and address challenges.
  • Travel as needed to meet with clients and attend industry events.
  • 6+ years working with Data Center Networking/Switching platforms - Including, but not limited to Cisco ACI, Nexus, Nexus Dashboard, Nexus Dashboard Fabric Controller, VXLAN. DC Network Design, Data Center Interconnect.
  • Knowledge and understanding of networking protocols and technologies.
  • Experienced in the design and/or deployment of Data Center Networking solutions including traditional DC standalone design, VXLAN fabric-based architectures.
  • 6+ years knowledge of any combination of Data Center, Storage, Compute, Apps, Big Data, Converged Infrastructure, AI infrastructure or Data Center Networking experience.
  • Significant experience with end-to-end architecture/design work across multiple technology areas for DC and hybrid cloud solutions.
  • Public, hybrid and private cloud computing and architecture experience along with Virtualization or X86 Architectures or Operating Systems
  • Experience providing consumable documentation of standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise edge, and/or AI/ML solutions.
  • Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree is a plus.
  • Excellent presentation skills - ability to deliver engaging workshops to both technical and non-technical audiences on AI topics
  • AI experience with Nvidia, IBM, Microsoft, Dell, NetApp, HPE, and/or other AI vendors
  • In-depth understanding of language models, including but not limited to GPT-3, BERT, or similar architectures.
  • Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
  • Experience in deploying LLM models in cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure.
  • Familiarity with containerization technologies (e.g., Docker or equivalent experience) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.
  • U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance.
  • Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
  • 10 paid holidays per full calendar year, plus 1 floating holiday 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 vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
  • Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
  • 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
  • Additional paid time away may be requested to deal with critical or emergency issues for family members
  • Optional 10 paid days per full calendar year to volunteer
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