Senior Software Engineer - SDN
Lambda Labs · San Francisco Office (Fremont St)
Infrastructureremotesenior$266k–$395k
At a glance
Highlights
- Scale Lambda's high-performance multi-tenant cloud network across data centers.
- Deliver predictable networking performance for clients via software-driven solutions.
- Engineer highly available network services with observability and failover.
What they offer
- Generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k plan with 2% company match (USA employees)
- Flexible paid time off plan
Ideal candidate
Experienced infrastructure engineer who thrives on complex distributed systems challenges and building programmable, reliable, scalable cloud networks at the intersection of software and networking.
Requirements
- 5+ years of professional software engineering experience, ideally in systems, infrastructure, or networking-focused domains
- Demonstrated experience designing and implementing production-scale Software Defined Networking (SDN) systems, ideally with AWS VPC-like functionality
- Hands-on experience building and maintaining SDN platforms using OpenStack Neutron, OVN, or similar frameworks
- Deep understanding of the Linux networking stack including namespaces, routing, iptables/nftables, virtualization, SR-IOV, and DPDK
- 5+ years of software development experience in C, Go, or Python for network services, tooling, and automation
- Experience with multi-data center and hybrid cloud networking with automation and software-driven control planes
- Experience with CI/CD, automated testing, Git, and GitOps-driven environments
- Experience deploying, operating, and automating applications on Kubernetes
- Prior on-call, incident response, and reliability tooling experience
- remote policy
- Hybrid - 4 days in office, work from home on Tuesdays
Lab profile
About Lambda Labs
The Superintelligence Cloud delivering GPU compute infrastructure for AI researchers and enterprises.
What they build
- GPU cloud infrastructure
- On-demand GPU instances
- Managed Kubernetes for AI workloads
Known for
- AI cloud infrastructure at scale
- HPC platform and hardware engineering
- Data center operations and networking
Key facts
- Serves tens of thousands of customers
- Offices in San Francisco, San Jose and Bellevue
- Data center in Quebec City, Canada
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