Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Principal AI Infrastructure Abstraction Engineer..
United States Jobs Expertini

Urgent! Principal AI Infrastructure Abstraction Engineer. Job Opening In San Jose – Now Hiring Cisco

Principal AI Infrastructure Abstraction Engineer.



Job description

Meet the Team

We are an innovation team on a mission to transform how enterprises harness AI.

Operating with the agility of a startup and the focus of an incubator, we’re building a tight-knit group of AI and infrastructure experts driven by bold ideas and a shared goal: to rethink systems from the ground up and deliver breakthrough solutions that redefine what's possible — faster, leaner, and smarter.
We thrive in a fast-paced, experimentation-rich environment where new technologies aren’t just welcome — they’re expected.

Here, you'll work side-by-side with seasoned engineers, architects, and thinkers to craft the kind of iconic products that can reshape industries and unlock entirely new models of operation for the enterprise.
If you're energized by the challenge of solving hard problems, love working at the edge of what's possible, and want to help shape the future of AI infrastructure — we'd love to meet you.

Your Impact

As an AI Infrastructure Abstraction Engineer, you will help shape the next generation of AI compute platforms by designing systems that abstract away hardware complexity and expose logical, scalable, and secure interfaces for AI workloads.

Your work will enable multi-tenancy, resource isolation, and dynamic scheduling of GPUs and accelerators at scale — making infrastructure programmable, elastic, and developer-friendly.

You will bridge the gap between raw compute resources and AI/ML frameworks, allowing infrastructure teams and model developers to consume shared GPU resources with the performance and reliability of bare metal, but with the flexibility of cloud-native systems.

Your contributions will empower internal and external users to run AI workloads securely, efficiently, and predictably — regardless of the underlying hardware topology.

This role is critical to enabling AI infrastructure that is multi-tenant by design, scalable in practice, and abstracted for portability across diverse platforms.

KEY RESPONSIBILITIES

  • Design and implement infrastructure abstractions that cleanly separate logical compute units (vGPUs, GPU pods, AI queues) from physical hardware (nodes, devices, interconnects).
  • Develop runtime services, APIs, and control planes to expose GPU and accelerator resources to users and frameworks with multi-tenant isolation and QoS guarantees.
  • Architect systems for secure GPU sharing, including time-slicing, memory partitioning, and namespace isolation across tenants or jobs.
  • Collaborate with platform, orchestration, and scheduling teams to map logical resources to physical devices based on utilization, priority, and topology.
  • Define and enforce resource usage policies, including fair sharing, quota management, and oversubscription strategies.
  • Integrate with model training and serving frameworks (e.g., PyTorch, TensorFlow, Triton) to ensure smooth and predictable resource consumption.
  • Build observability and telemetry pipelines to trace logical-to-physical mappings, usage patterns, and performance anomalies.
  • Partner with infrastructure security teams to ensure secure onboarding, access control, and workload isolation in shared environments.
  • Support internal developers in adopting abstraction APIs, ensuring high performance while abstracting away low-level details.
  • Contribute to the evolution of internal compute platform architecture, with a focus on abstraction, modularity, and scalability.
  • Minimum Qualifications:

  • Bachelors + 15 years of related experience, or Masters + 12 years of related experience, or PhD + 8 years of related experience
  • Experience building scalable, production-grade infrastructure components or control planes using Go, Python, and C++,
  • Experience with Kubernetes, Docker or Kubevirt for virtualization, containerization, and orchestration frameworks
  • Experience designing or implementing logical resource abstractions for compute, storage, or networking with a focus in multi-tenant environments.
  • Experience integrating with AI/ML platforms or pipelines (e.g., PyTorch, TensorFlow, Triton Inference Server, MLFlow).
  • Preferred Qualifications:

  • Experience with GPU sharing, scheduling, or isolation techniques (e.g., MPS, MIG, time-slicing, device plugin frameworks, or vGPU technologies).
  • Solid grasp of resource management concepts including quotas, fairness, prioritization, and elasticity.

  • Required Skill Profession

    Computer Occupations



    Your Complete Job Search Toolkit

    ✨ Smart • Intelligent • Private • Secure

    Start Using Our Tools

    Join thousands of professionals who've advanced their careers with our platform

    Rate or Report This Job
    If you feel this job is inaccurate or spam kindly report to us using below form.
    Please Note: This is NOT a job application form.


      Unlock Your Principal AI Potential: Insight & Career Growth Guide


    • Real-time Principal AI Jobs Trends in San Jose, United States (Graphical Representation)

      Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Principal AI in San Jose, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 39286 jobs in United States and 1977 jobs in San Jose. This comprehensive analysis highlights market share and opportunities for professionals in Principal AI roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

    • Are You Looking for Principal AI Infrastructure Abstraction Engineer. Job?

      Great news! is currently hiring and seeking a Principal AI Infrastructure Abstraction Engineer. to join their team. Feel free to download the job details.

      Wait no longer! Are you also interested in exploring similar jobs? Search now: .

    • The Work Culture

      An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Cisco adheres to the cultural norms as outlined by Expertini.

      The fundamental ethical values are:
      • 1. Independence
      • 2. Loyalty
      • 3. Impartiality
      • 4. Integrity
      • 5. Accountability
      • 6. Respect for human rights
      • 7. Obeying United States laws and regulations
    • What Is the Average Salary Range for Principal AI Infrastructure Abstraction Engineer. Positions?

      The average salary range for a varies, but the pay scale is rated "Standard" in San Jose. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    • What Are the Key Qualifications for Principal AI Infrastructure Abstraction Engineer.?

      Key qualifications for Principal AI Infrastructure Abstraction Engineer. typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

    • How Can I Improve My Chances of Getting Hired for Principal AI Infrastructure Abstraction Engineer.?

      To improve your chances of getting hired for Principal AI Infrastructure Abstraction Engineer., consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    • Interview Tips for Principal AI Infrastructure Abstraction Engineer. Job Success
      Cisco interview tips for Principal AI Infrastructure Abstraction Engineer.

      Here are some tips to help you prepare for and ace your job interview:

      Before the Interview:
      • Research: Learn about the Cisco's mission, values, products, and the specific job requirements and get further information about
      • Other Openings
      • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
      • Dress Professionally: Choose attire appropriate for the company culture.
      • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
      • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
      During the Interview:
      • Be Punctual: Arrive on time to demonstrate professionalism and respect.
      • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
      • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
      • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
      • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
      • Follow Up: Send a thank-you email to the interviewer within 24 hours.
      Additional Tips:
      • Be Yourself: Let your personality shine through while maintaining professionalism.
      • Be Honest: Don't exaggerate your skills or experience.
      • Be Positive: Focus on your strengths and accomplishments.
      • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
      • Turn Off Phone: Avoid distractions during the interview.
      Final Thought:

      To prepare for your Principal AI Infrastructure Abstraction Engineer. interview at Cisco, research the company, understand the job requirements, and practice common interview questions.

      Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Cisco's products or services and be prepared to discuss how you can contribute to their success.

      By following these tips, you can increase your chances of making a positive impression and landing the job!

    • How to Set Up Job Alerts for Principal AI Infrastructure Abstraction Engineer. Positions

      Setting up job alerts for Principal AI Infrastructure Abstraction Engineer. is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!