Senior Field Engineer

SambaNova; United States; On-site; USD 88,000 - 106,000; Full time

Benefits offered by this job

Health insurance

Headspace subscription

One Medical membership

Gympass+ membership

Job summary

SambaNova Systems is seeking a Data Center Deployment Engineer to join our field engineering team. You will own end-to-end deployment of SambaNova rack-scale AI systems at customer data centers, acting as the on-site technical authority to ensure power, cooling, networking, and infrastructure readiness.

This hands-on role sits at the intersection of infrastructure engineering and customer success. You will collaborate with customers, their data center operators, and internal teams to ensure

Qualifications

• Hands-on admin experience with Red Hat Linux or rpm-based distributions in production environments.
• Experience with BMC/IPMI-based out-of-band management.
• Familiarity with data center networking and RoCE concepts.

Responsibilities

• Serve as the primary technical contact for rack deployments, ensuring site readiness (power, cooling, networking, data center services).
• Conduct pre-deployment site assessments and resolve issues before hardware arrives.
• Develop cooling plans for high-density compute with front-to-rear airflow.
• Validate data center power infrastructure (208V and 415V).
• Coordinate logistics with data center operators and customers.
• Validate customer networking, cabling, and switch details for AI workloads.
• Document deployment procedures and site configurations for internal and customer records.
• Communicate deployment status and risks to technical and non-technical stakeholders.
• Assist with ongoing customer support at rack and system level.
• Provide input on future rack-level product design.

Skills

Rack infrastructure

Data center networking

Linux administration

BMC/IPMI management

Scripting (Shell/Python)

Customer communication

Japanese language

Tools

Juniper

Arista

Job description

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.

SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.

About the Role

SambaNova Systems is looking for a Data Center Deployment Engineer to join our field engineering team. In this customer-facing role, you will own the end-to-end deployment of SambaNova's rack-scale AI systems at customer data centers across Japan and the region. You'll serve as the technical authority on-site, ensuring that power, cooling, networking, and physical infrastructure are ready to support our hardware before, during, and after deployment.

This is a hands-on, high-visibility role that sits at the intersection of infrastructure engineering and customer success. You'll work closely with customers, their data center operators, and internal teams to make deployments go smoothly.

What You'll Do

• Serve as the primary technical point of contact for customers during rack product deployments, covering all aspects of physical site readiness including power, cooling, networking, and data center services.
• Conduct pre-deployment site assessments to identify potential infrastructure issues and work with customers to resolve them before hardware arrives.
• Develop and communicate cooling plans appropriate to the power and heat load of SambaNova rack systems, with a primary focus on front-to-rear air-cooled environments.
• Validate data center power infrastructure for compatibility with SambaNova systems, including 208V and 415V AC environments.
• Partner with data center operators at facilities to help coordinate logistics, cage/rack assignments, cross-connects, and remote hands.
• Validate customer networking infrastructure, including verification of cabling, uplink switch details, and protocols required for AI workloads.
• Document deployment procedures, site configurations, and any issues encountered for internal knowledge-sharing and customer records.
• Communicate deployment status, risks, and findings clearly to both technical and non-technical customer stakeholders.
• Assist with on-going customer support at a rack and system level.
• Provide input on future product design at a rack level.

Data Center Infrastructure

• General logistics experience for large hardware deployments: coordinating deliveries, staging, and installation in live data center environments.
• Solid understanding of data center AC power at 208V and 415V and work with customer facilities teams.
• Experience planning and validating cooling solutions for high-density compute, with knowledge of front-to-rear airflow design.
• Familiarity with the operational requirements and processes of major colocation providers (Equinix, NTT Global Data Centers, DigitalRealty, or similar).

Networking

• Working knowledge of data center network topologies, including three-tier and leaf-spine/Clos designs.
• Familiarity with Ethernet networking protocols including BGP, LACP, VRRP, VLAN, VXLAN, and VPN.
• Understanding of RDMA over Converged Ethernet (RoCE) principles and its relevance to high-performance AI workloads.
• Experience with high-speed data center switching platforms; Juniper and Arista experience is a plus.

Systems

• Extensive hands-on administrative experience with Red Hat Linux, or other rpm-based Linux distributions, in production environments. This includes system configuration, troubleshooting, and performance tuning.
• Proficiency with BMC, service processor, and IPMI-based out-of-balance systems management.
• Familiarity with RAS (reliability, availability, and serviceability) design at a rack level.

Additional

• Familiarity with AI and machine learning concepts and terminology sufficient to communicate effectively with AI infrastructure teams.
• Fluent Japanese speaker with strong written and verbal English communication skills.
• Excellent presentation and interpersonal skills; able to build trust and credibility with customer executives and technical teams alike.
• Demonstrated knowledge of Shell scripting or Python.
• Strong organizational skills with the ability to manage multiple deployments and competing priorities.

Nice to Have

• Experience with DC power systems in data center environments.
• Hands-on experience with liquid cooling technologies.

Base Salary Range:

Base Pay Range

¥14,000,000—¥17,000,000 JPY

EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

Benefits Summary for US-Based, Full-Time Employment Positions

SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits.

• 95% premium coverage for employee medical insurance
• 77% premium coverage for dependents
• Health Savings Account (HSA) with employer contribution
• Dental
• Vision
• Short/Long term Disability
• Basic Life
• Voluntary Life
• AD&D insurance plans
• Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care
• Full subscription to Headspace
• Gympass+ membership with access to physical gyms
• One Medical membership
• counseling services with an Employee Assistance Program
• and much more.