Cisco
Solutions Engineer
$219K–$345K
San Francisco, California, US +1 · Hybrid · Full-time · Posted Oct 22, 2026
- Location
- San Francisco, California, US
San Jose, California, US - Experience
- 8+ years required; 10+ years preferred.
- Education
- Bachelor's degree in Electrical Engineering, Computer Science, or equivalent experience (preferred).
About the job
Owns technical customer relationships and designs Cisco networking architectures for Neocloud and AI infrastructure accounts, guiding engagements from discovery through technical close.
What you'll do
- Lead customer engagements, including architecture, validation, proofs of concept, demonstrations, and technical close.
- Design large-scale AI, data center, and service provider networks, including AI fabrics and routing architectures.
- Partner with account teams and internal stakeholders to win designs, address customer requirements, and support demand generation.
What they ask for
- 8+ years in technical pre-sales, solutions architecture, or customer-facing systems engineering, with a track record of owning the technical win.
- Deep expertise in data center networking and service provider technologies, including BGP, EVPN, MPLS, or Segment Routing.
- Hands-on experience with Cisco IOS-XR / NX-OS or equivalent network operating systems.
- Strong technical expertise with Cisco or competitor data center and routing platforms.
Nice to have
- CCIE (Data Center, Service Provider, or Enterprise Infrastructure) or equivalent depth; 10+ years in high-velocity, advanced technology environments.
- Experience selling into Neocloud, hyperscale, or AI infrastructure customers; differentiators include SONiC, optical systems, ASICs, AI workloads, Python, or Ansible.
Pay
$229,000.00 to $299,800.00 USD base salary; $229,000.00 - $344,700.00 USD base salary and sales target incentive compensation combined; $218,600.00 - $329,000.00 USD base salary and sales target incentive compensation combined.
Tools
BGP, MPLS, EVPN, Segment Routing, Cisco IOS-XR, NX-OS, SONiC, Python
AI focus
Design AI back-end and front-end fabrics for AI infrastructure customers, including compute, storage, and optics; stay current on AI infrastructure trends. AI workloads, large language models, and the MLOps toolchain are differentiators.
Model-written summary · the original posting is authoritative