AI Summary
Design and implement custom compute environments for customers, leveraging AI and automation to optimize performance and efficiency. Build and maintain Linux images, configure dedicated Kubernetes clusters, and set up network monitoring and diagnostics. Collaborate with cross-functional teams to drive technical decisions and improve processes.
Key Highlights
Custom compute environments for customers
AI and automation optimization
Linux image building and maintenance
Kubernetes cluster configuration
Network monitoring and diagnostics
Key Responsibilities
Build and deliver custom environments with excellent GPU performance for customer workloads
Leverage AI to an extreme level to automate provisioning, alerting and recovery
Provision and configure dedicated Kubernetes clusters tailored to customer requirements
Design and implement overlay networking (VLAN, VXLAN) and routing configurations (ECMP, BGP) and tunnels (strongSwan, IPSEC) for tenant isolation and performance
Build and maintain Linux images
Set up network monitoring and diagnostics for customer environments
Automate the end-to-end lifecycle of customer compute environments: creation, configuration, validation, and teardown
Technical Skills Required
Benefits & Perks
$180,000-250,000 plus equity
health, dental, and vision insurance
relocation assistance
regular team events and offsites
Nice to Have
Experience with SR-IOV, DPDK, or other high-performance networking technologies
Experience with shared network storage (Ceph, Lustre, Weka)
Experience with network automation tools (Netbox, Nautobot, Nornir)
Job Description
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.
As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.
About This Role
You build the custom compute environments we deliver to customers — bare metal or virtual machines with GPU passthrough, dedicated Kubernetes clusters, and the networking that ties them together. You work across the full stack from Linux image building to overlay network design to cluster bootstrapping.
Key Responsibilities
- Build and deliver custom environments with excellent GPU performance for customer workloads
- Leverage AI to an extreme level to automate provisioning, alerting and recovery
- Provision and configure dedicated Kubernetes clusters tailored to customer requirements
- Design and implement overlay networking (VLAN, VXLAN) and routing configurations (ECMP, BGP) and tunnels (strongSwan, IPSEC) for tenant isolation and performance
- Build and maintain Linux images
- Set up network monitoring and diagnostics for customer environments
- Automate the end-to-end lifecycle of customer compute environments: creation, configuration, validation, and teardown
Looking to advance your Development & Programming career with relocation support? Explore Development & Programming Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.
- 5+ years experience with Linux virtualization: KVM/QEMU, libvirt, VFIO device passthrough, hugepages, NUMA, CPU pinning
- Strong networking fundamentals: VXLAN, VLAN, ECMP, BGP, ARP, and the ability to debug packet-level issues (tcpdump, Wireshark)
- Production experience building and operating Kubernetes clusters on bare metal (MetalLB)
- Proficiency with Linux image building and OS provisioning (kickstart, cloud-init, PXE/iPXE)
- Proficiency in Python, Bash, Ansible and Terraform
- Deep experience with NVIDIA GPUs: drivers, MIG, container runtimes (nvidia-container-toolkit), InfiniBand, RDMA/RoCEv2 and GPUDirect for high-performance AI networking
- Excellent communication and ability to drive technical decisions across teams
- Self-starter who executes quickly, takes ownership, and constantly seeks improvement
Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
- Experience with SR-IOV, DPDK, or other high-performance networking technologies
- Experience with shared network storage (Ceph, Lustre, Weka)
- Experience with network automation tools (Netbox, Nautobot, Nornir)
- $180,000-250,000 plus equity + benefits (This range encompasses 2 levels Senior and Staff)
Interested in relocating to United State? Check out our comprehensive Relocation Jobs in United State page with detailed relocation packages and benefits.
- San Francisco, CA
- Interesting and challenging work
- A lot of learning and growth opportunities
- We are currently hiring in downtown San Francisco.
- We offer relocation assistance to San Francisco.
- Health, dental, and vision insurance (US)
- Regular team events and offsites
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