Data Center Network Engineer
Baseten - San Francisco, California, United States, New York
Posted May 21, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
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- Learning budget
- Not verified
- Verification
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- Salary
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- 401(k) match
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
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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
Data Center Network Engineer San Francisco, California, United States, New York ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. As a Network Engineer (Data Centers) at Baseten, you'll design and own the high-performance network infrastructure that powers our GPU clusters-from cluster fabric design to cabling architecture and performance validation. This is a senior, hands-on role with scope to grow into technical leadership. You'll operate at a staff level, owning key design decisions and execution while helping define how we build and scale data center networks. Your work will directly impact model training and inference performance, and you'll collaborate closely with hardware and platform teams to ensure high throughput, low latency, and reliable distributed systems. EXAMPLE INITIATIVES - Cluster fabric design - Define InfiniBand or Ethernet-based architectures for GPU clusters. - Network deployment - Design spine-leaf topologies and rack-level connectivity. - Performance optimization - Tune network performance for distributed workloads. RESPONSIBILITIES - Own end-to-end network architecture for data center clusters. - Define topology, redundancy, and performance characteristics. - Select switches, optics, and cabling systems. -
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