Senior Staff Network Reliability Engineer
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Job Location:
San Francisco, CA - USA
Monthly Salary:
$ 250 - 400
Posted on:
Yesterday
Vacancies:
1 Vacancy
Department:
Job Summary
About Fluidstack
At Fluidstack were building the infrastructure for abundant intelligence. We partner with top AI labs governments and enterprises - including Mistral Poolside Black Forest Labs Meta and more - to unlock compute at the speed of light.
Were working with urgency to make AGI a reality. As such our team is highly motivated and committed to delivering world-class infrastructure. We treat our customers outcomes as our own taking pride in the systems we build and the trust we earn. If youre motivated by purpose obsessed with excellence and ready to work very hard to accelerate the future of intelligence join us in building whats next.
About the Role
Our Network Reliability Engineers are the backbone of Fluidstacks platform. Youll utilize deep networking expertise and software engineering to keep our high-performance network fabrics fast reliable and cost-efficient at scale. Our NREs operate RDMA fabrics the datacenter network and our WAN backbones.
Focus
Super-charge the network stack. Tune TCP/IP RDMA (primarily RoCE congestion control) kernel-bypass frameworks (DPDK XDP eBPF) and NIC offloads to squeeze microseconds off packet latency for AI & HPC workloads.
Deploy & optimize at scale. Roll out new ToR/spine switches (from NVIDIA Arista Juniper and others) validate SmartNIC and BlueField networking configure BGP/EVPN fabrics and optimize flow control (PFC ECN) for zero-loss transport.
Automate observability. Build NIC-to-orchestrator telemetry pipelines packet-loss detection bots and real-time throughput/latency dashboards.
Root-cause the gnarly stuff. Lead packet captures congestion analyses and latency regressions; turn insights into switch firmware patches kernel tuning and topology optimizations.
Drive vendor collaboration. Pair with networking vendors to debug hardware accelerate RDMA paths validate optics and integrate emerging network hardware (800G/1.6T LPO/CPO)
Continuously improve. Inject link failures run game-days simulating network partitions and codify post-mortem learnings into SLIs/SLOs that matter to customers.
About You
7 yrs in network-heavy SRE performance engineering or data-center networking.
Mastery of Linux networking stack and protocol-level debugging (TCP IB RoCE).
Production experience with many vendors (Mellanox/NVIDIA Arista Juniper etc.) multi-layer fabrics and network overlays (VXLAN Geneve).
Fluency in Python Go or Rust; solid Infra-as-Code & CI/CD chops.
Familiarity with DPDK XDP eBPF and InfiniBand/RoCE.
Proven track record scaling low-latency high-throughput networks for AI/ML or HPC clusters.
Salary & Benefits
Competitive total compensation package (salary equity).
Retirement or pension plan in line with local norms.
Health dental and vision insurance.
Generous PTO policy in line with local norms.
The base salary range for this position is $- $250000 per year depending on experience skills qualifications and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options.
We are committed to pay equity and transparency.
Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability and protected veterans status or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email please email with your resume/CV the role youve applied for and the date you submitted your application-- someone from our recruiting team will be in touch.
Required Experience:
Staff IC
Key Skills
- Kubernetes
- FMEA
- Continuous Improvement
- Elasticsearch
- Go
- Root cause Analysis
- Maximo
- CMMS
- Maintenance
- Mechanical Engineering
- Manufacturing
- Troubleshooting
