Cisco
Principal Machine Learning Engineer
San Jose, California, US · Principal · Full-time
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
This range already reaches Level IV — the maximum four lottery entries.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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Green-card filing pattern in this occupation
Green-card follow-through: 93%
Files H-1B transfers
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About the role
- The application window is expected to close on: 12/23/2026 This is a hybrid role, requiring 3 days per week on site in San Jose, CA
- Cisco's CX AI Incubation and Agents team owns the foundational AI platform behind intelligent customer experiences across Cisco—the shared layer that application and agent teams across CX build on, in cloud, on-premises, and fully air-gapped customer environments.
Responsibilities
- You will serve as the architectural and technical authority for designing, building, and scaling the AI foundation powering Cisco IQ and evolving customer needs.
- As a hands-on technical leader, you will design and build AI systems for production scale.
- You will set the benchmark for system design, platform governance, and technical excellence across the CX engineering ecosystem.
- Foundational AI Platform Architecture: Design and build robust, multi-tenant AI services with scalable APIs, versioning, backward compatibility, and quota management across cloud, on-premises, and air-gapped environments.
- AI Technology Strategy and Execution: Select, evaluate, and implement models, frameworks, inference runtimes, and orchestration technologies.
- AI Cost Optimization and Standards: Design and implement cost optimization across workloads by improving token efficiency, model selection, inference performance, and compute utilization. Establish measurable engineering standards for cost efficiency.
- Technical Governance & Leadership by Influence: Lead architecture and design reviews, resolve complex technical trade-offs, mentor senior engineers, and influence platform direction through hands-on technical leadership and execution.
Requirements
- Bachelors + 14 years of related experience, or Masters + 11 years of related experience, or PhD + 7 years of related experience.
- Experience architecting and deploying production LLM and/or SLM inference runtimes optimized with continuous batching, KV-cache management, or speculative decoding.
- Experience architecting and deploying production RAG systems and agentic workflows using vector databases.
- Experience designing and implementing automated evaluation frameworks for AI systems, including golden test datasets, LLM-as-a-judge methodologies, drift detection, and/or CI/CD regression gates.
Nice to have
- Research & Thought Leadership: Recognized track record of industry contributions via publications, patents, conference presentations, or core contributions to open-source AI/ML projects.
- Edge & Resource-Constrained Inference: Hands-on experience optimizing inference workloads for resource-constrained compute environments (CPU, NPU, small GPU footprints, and on-prem hardware appliances).
- We work as a team, collaborating with empathy to make really big things happen on a global scale.
- Because our solutions are everywhere, our impact is everywhere.
- Message to applicants applying to work in the U.S. and/or Canada:
- U.S. employees are eligible for paid time away as described below, subject to Cisco's policies:
- Additional paid time away may be requested to deal with critical or emergency issues for family members
Skills
- The application window is expected to close on: 12/23/2026 This is a hybrid role, requiring 3 days per week on site in San Jose, CA
- Meet The Team
- Our work spans classical ML, domain-specific language models, and Agentic AI.
- What You Will Own & Drive
- Foundational AI Platform Architecture:
- AI Technology Strategy and Execution:
- AI Cost Optimization and Standards:
- Establish measurable engineering standards for cost efficiency.
- Technical Governance & Leadership by Influence:
Compensation
- The starting salary range posted for this position is $296,300.00 to $374,800.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benef
Company info
- At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond.
- These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
- We are Cisco, and our power starts with you.
This listing is sourced directly from Cisco's careers page and normalized into a canonical job model.