1 day ago
Base Salary
$184k - $239k/yr
Responsibilities
- Build shared platforms, services, and developer tools for pre-training, fine-tuning, reinforcement learning, evaluation, and inference.
- Develop and operate distributed GPU and CPU infrastructure across clouds and regions, including orchestration, scheduling, resource sharing, storage, networking, and agent sandboxes.
- Create reproducible training and serving environments through automated container builds, dependency management, compatibility validation, and release workflows.
- Build reliable rollout collection and isolated execution environments for agentic workloads with progress tracking, failure recovery, resource cleanup, and durable outputs.
- Connect experiment configurations, code, datasets, checkpoints, and evaluation results to support reproducible and comparable research runs.
- Improve observability, performance, GPU utilization, data loading, checkpointing, distributed communication, and inference.
- Partner with research and data teams to build dependable data and evaluation workflows and support researchers in debugging and adopting capabilities.
Requirements
- Bachelor’s degree plus 5 years of related experience, master’s degree plus 3 years of related experience, or PhD plus 0 years of related experience in computer science, artificial intelligence, machine learning, or a related field.
- Strong experience with Python, PyTorch, production-grade software engineering practices, and common AI/ML libraries.
- Experience with large language models, model training, fine-tuning, evaluation, inference, and optimization.
- Strong understanding of data pipelines, model experimentation, and scalable AI system design.
- Strong communication skills for explaining complex research and engineering concepts to cross-functional partners.
- Preferred experience includes distributed GPU training or post-training systems, parallelism, checkpointing, recovery, and performance profiling.
- Preferred experience includes Megatron, NeMo, VERL, vLLM, SGLang, research platforms, experiment tracking, dataset or model catalogs, evaluation harnesses, AI-agent execution environments, infrastructure as code, cloud IAM, workload isolation, and operational monitoring.
Benefits
- Medical, dental, and vision insurance, a 401(k) plan with Cisco matching contributions, paid parental leave, disability coverage, and basic life insurance.
- Employees may be eligible for Cisco restricted stock unit grants and annual bonuses for non-sales roles.
- Paid holidays, birthday leave, year-end shutdown, personal wellness days, vacation or flexible vacation time, sick time, family emergency leave, and optional paid volunteer days.
- Full-time position in the United States, with the application window expected to close November 24, 2026, though applications are accepted until further notice.
Tech Stack
Categories
About Cisco
Cisco designs and sells networking, security, and collaboration platforms for enterprises, service providers, and governments, spanning routers and switches, Wi‑Fi, firewalls, zero‑trust, observability, and cloud-managed IT (Meraki) plus Webex. Its business model mixes hardware, software subscriptions, and support/consulting services. Founded in 1984 and headquartered in San Jose, California, Cisco is a public company traded on Nasdaq and serves customers across data centers, campuses, and service provider networks.