Technical Lead - AI Defense & Real-Time Inference

Cisco Systems, Inc.

Milpitas (CA)

On-site

USD 216,000 - 281,000

Full time

4 days ago
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Benefits offered by this job

Medical, dental, vision insurance
401(k) with company match
Paid parental leave
Generous vacation and sick time

Job summary

Cisco Systems, Inc. is seeking a Technical Lead for its AI Defense team. You will own the architecture of secure, scalable AI infrastructure and act as a hands-on authority shaping product design and engineering culture.

The role emphasizes leading complex technical challenges and setting industry standards. You will drive low-latency LLM inference, secure deployments, and collaboration with product and threat research teams while mentoring engineers and aligning with executive leadership on

Qualifications

  • Bachelor's/Master's/PhD in CS with 8+ years (MS) or 3+ years (PhD) of software engineering experience.
  • Experience with cloud-native backend development and modern cloud infrastructure.
  • Prior leadership experience across teams while remaining hands-on.

Responsibilities

  • Define and drive architecture of scalable, high-performance platform services for AI defense in real time.
  • Lead by example on complex technical problems and stay hands-on.
  • Shape LLM inference and model-hosting strategy for enterprise workloads.
  • Collaborate with Product, Threat Research and Ops to deploy production-grade features.
  • Mentor engineers and communicate strategy and trade-offs to senior leadership.

Skills

Cloud-native backend
Hands-on leadership
Distributed systems

Education

Bachelor's in Computer Science
Master's in Computer Science
PhD in Computer Science

Job description

Cisco Systems, Inc. is seeking a Technical Lead for its AI Defense team. You will own the architecture of secure, scalable AI infrastructure and act as a hands-on authority shaping product design and engineering culture.

The role emphasizes leading complex technical challenges and setting industry standards. You will drive low-latency LLM inference, secure deployments, and collaboration with product and threat research teams while mentoring engineers and aligning with executive leadership on

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