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Software Engineer, Virtualization

Fal - San Francisco

Posted Feb 23, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
$180K-$250K From the posting source checked Jun 20, 2026
401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

84% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
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Company

Equity
Offered From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Engineer, Virtualization San Francisco 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 Requirements - 5+ years

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