Crusoe
Senior Production Engineer, SDN
Sunnyvale, CA - US · Senior
Sponsorship not specified$170k-$205kDetected 5 hours ago
PythonGoAWSGCPAzureCloud PlatformsDockerKubernetesTerraformAnsibleLinuxIncident ResponseElectrical EngineeringTCP/IPBGP/OSPFCommunicationProblem Solving
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Cap-exempt (no lottery)0
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Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
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About the role
- At Crusoe Energy Systems, our Production Engineering (PE) team plays a mission-critical role in maintaining the performance and reliability of our AI-optimized cloud infrastructure.
- The SDN-focused PE role is responsible for ensuring the availability, performance, and scalability of Crusoe's cloud networking services, which power compute-intensive, latency-sensitive workloads for AI and HPC use cases.
- Your responsibilities will also include supporting user-facing networking services with a focus on availability, latency reduction, performance tuning, and adherence to error budgets.
Responsibilities
- You will drive reliability initiatives focused on routing convergence, traffic engineering, policy enforcement, and fault isolation.
- Collaborating closely with network engineers, you will help implement and maintain high-performance virtualized networking services (e.g., overlays, service meshes, programmable data planes) that support large-scale AI compute clusters.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience
- Hands-on experience with SDN platforms and protocols (e.g., Open vSwitch, ONOS, Tungsten Fabric, Calico, Cilium, EVPN/VXLAN)
- Proficiency in a programming language such as Python, Go, or C
- Experience with Infrastructure as Code and deployment tooling such as Terraform, Ansible, or Puppet
- Deep knowledge of Linux internals with a focus on networking subsystems, kernel modules, and packet scheduling
- Familiarity with network protocols such as BGP, OSPF, IS-IS, MPLS, and network virtualization technologies
- Experience with building and operating managed networking services at scale (AWS VPC, Transit Gateway, GCP VPC, Azure Virtual Network)
Skills
- Crusoe is on a mission to accelerate the abundance of energy and intelligence.
- The demand for AI compute is boundless, and power is a bottleneck.
- Excellent communication skills
Compensation
- Compensation will be paid in the range of $170,000 - $205,000 + Bonus.
- Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.
- 401(k) with a 100% match up to 4% of salary
Benefits
- Restricted Stock Units in a fast growing, well-funded technology company
- Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
- Employer contributions to HSA accounts
- Paid Parental Leave
- Paid life insurance, short-term and long-term disability
- Generous paid time off and holiday schedule
- Cell phone reimbursement
- Tuition reimbursement
Company info
- 5+ years of professional experience in PE, systems, or networking engineering
- Demonstrated experience automating network provisioning, configuration, and remediation - hands-on rack-and-stack or manual configuration alone is not a fit for this role
- Strong experience working with containerized workloads and orchestration platforms (e.g., Kubernetes, Docker), particularly around CNI plugins (Calico, Cilium) and Kubernetes-layer service networking - candidates should speak to networking/CNI work, not general Kubernetes cluster management
- Excellent incident response, troubleshooting, and documentation practices
- Embody the Company values
Equal opportunity
- Crusoe is an Equal Opportunity Employer.
Visa & Work Authorization
- Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran st
This listing is sourced directly from Crusoe's careers page and normalized into a canonical job model.