Server Engineer - AI Systems

Sproutup; Garland (TX); On-site; USD 110,000 - 145,000; Full time

Job summary

Sproutup is seeking a seasoned hardware engineer to support Sales with hands-on GPU/Ai systems and hyperscaler gear. You will diagnose DGX/HGX configurations, verify fabric and interoperability, and sign-off on build quality for customer orders.

You will also document recurring questions, maintain the config catalog, and train the sales team on technical baselines to multiply effectiveness. This role blends front-line engineering with customer-facing responsibilities.

Qualifications

• 5+ years in data center hardware engineering, field engineering, systems integration, or a hyperscaler or ODM environment.
• Hands-on experience with NVIDIA AI systems: DGX or HGX A100 and H100 platforms, SXM and PCIe form factors, NVLink and NVSwitch topology.
• Working knowledge of InfiniBand fabric: HDR and NDR, ConnectX adapters, Quantum switches, subnet management, cabling and transceiver rules.
• Broad enterprise server fluency across major OEM lines (Dell EMC PowerEdge, HPE ProLiant, Supermicro, Lenovo ThinkSystem, Cisco UCS, ODM/hyperscaler gear).
• Able to read a mixed manifest of enterprise gear and quickly determine what to configure and what it will take.
• Firmware and low-level configuration: BIOS, BMC, IPMI, Redfish, OEM tooling.

Responsibilities

• Technical support to Sales (roughly 60 percent): diagnose GPUs, interpret results, and make disposition calls.
• Troubleshoot faults across GPU, baseboard, NVLink, NVSwitch, PSU, cooling, and fabric.
• Configure and validate InfiniBand and Ethernet fabric, including adapter firmware, cabling, and transceivers.
• Own configuration and assembly quality for systems built to customer order.
• Own burn-in and certification testing, and sign off on units as sellable.
• Feed accurate technical attributes back into master data and inventory records.
• Making the answer repeatable: Document recurring technical questions into reusable reference material; Maintain internal config catalog; Train sales staff on technical baseline.

Skills

Data center hardware

NVIDIA AI systems

InfiniBand fabric

Enterprise server fluency

Technical communication

Hardware troubleshooting

Tools

NVIDIA DCGM

Firmware tooling

IPMI/Redfish tooling

OpenManage

UCS Manager/Intersight

Job description

Overview

Sprout is a global IT hardware retirement provider for hyperscaler and enterprise clients. We leverage a nationwide footprint (and international partner network) combined with proprietary software to enable efficient end-to-end IT asset disposition with a focus on data-bearing devices from the client to the cloud. The company is headquartered in Charlotte, NC with additional operations near Sacramento, and Dallas. Sprout provides software and services to clients in the form of our IT Asset Disposition, Certified Destruction, and Responsible Recycling solutions.

Since our founding as an electronic waste startup from a Duke University dorm room in 2014, we have been expanding at an average rate of >66% each year. By adhering to our 3 values (One Sprout, Deliver Excellence, and Integrity Matters), we are proud of our culture to move at #SproutSpeed to become the emerging leader in our industry. For more information, please visit: www.sproutup.com.

Velerity Compute builds and recertifies AI-capable GPU servers: DGX and HGX-class A100 and H100 systems, InfiniBand fabric, and the hyperscaler and enterprise decom gear that feeds both. Today, every technical question a customer or broker asks routes through people whose primary job is running the floor or closing the deal. Answers get slow, configs get quoted before anyone confirms they are buildable, and deals stall on questions that take an experienced tech ten minutes.

This role is the technical answer. You are the person Sales calls when a customer asks whether four HGX baseboards can be made into two sellable systems, what the fabric needs to look like, whether a rack of R750s can be reconfigured to spec, or whether the units on the floor will pass certification. You spend most of your week in front of Sales and customers, and enough of it in front of the hardware to keep your answers honest.

Responsibilities

Technical support to Sales (roughly 60 percent)

• Run GPU diagnostics and interpret results, including NVIDIA field diagnostics, DCGM, and XID fault classification, and make disposition calls on that basis
• Troubleshoot faults across GPU, baseboard, NVLink, NVSwitch, PSU, cooling, and fabric
• Configure and validate InfiniBand and Ethernet fabric, including adapter firmware, cabling, and transceiver compatibility
• Own configuration and assembly quality for systems being built to a customer order
• Own burn-in and certification testing, and sign off on units as sellable
• Feed accurate technical attributes back into the master data and inventory record so what Sales sees is what is on the floor

Hands-on technical work (roughly 40 percent)

• Perform BIOS, firmware, and BMC audits on inbound AI systems and hyperscaler gear
• Run GPU diagnostics and interpret results, including NVIDIA field diagnostics, DCGM, and XID fault classification, and make disposition calls on that basis
• Troubleshoot faults across GPU, baseboard, NVLink, NVSwitch, PSU, cooling, and fabric
• Configure and validate InfiniBand and Ethernet fabric, including adapter firmware, cabling, and transceiver compatibility
• Own configuration and assembly quality for systems being built to a customer order
• Own burn-in and certification testing, and sign off on units as sellable
• Feed accurate technical attributes back into the master data and inventory record so what Sales sees is what is on the floor

Making the answer repeatable

• Document recurring technical questions into reusable reference material so Sales stops asking the same thing twice
• Maintain the internal config catalog: what Velerity builds, what it costs to build, and what it takes to build it
• Train sales staff on enough technical baseline to qualify opportunities without escalating everything

Qualifications

• 5 or more years in data center hardware engineering, field engineering, systems integration, or a hyperscaler or ODM environment
• Direct hands-on experience with NVIDIA AI systems: DGX or HGX A100 and H100 platforms, SXM and PCIe form factors, NVLink and NVSwitch topology
• Working knowledge of InfiniBand fabric: HDR and NDR, ConnectX adapters, Quantum switches, subnet management, cabling and transceiver rules
• Broad enterprise server fluency across the major OEM lines, not just accelerated platforms. You should be able to spec, configure, and troubleshoot across:
  • Dell EMC PowerEdge, including the R and XE series, iDRAC, PERC controllers, and OpenManage
  • HPE ProLiant and Apollo, including iLO, Smart Array, and Intelligent Provisioning
  • Supermicro, including SuperServer and GPU chassis lines, IPMI, and the SuperMicro Update Manager
  • Lenovo ThinkSystem, including XClarity
  • Cisco UCS, including B and C series, fabric interconnects, and UCS Manager or Intersight service profiles
  • ODM and hyperscaler gear: OCP form factors, Open Rack, and high-density sled and blade platforms from the major ODMs
• Able to read a mixed manifest of enterprise gear and say quickly what it is, what it is worth configuring into, and what it will take
• Firmware and low-level configuration: BIOS, BMC, IPMI, Redfish, and OEM-specific management tooling and firmware bundles
• GPU diagnostics and fault interpretation, including XID codes, ECC and row remap behavior, bus and link faults, and firmware level faults
• Data center power and cooling fundamentals: three-phase power, rack level power budgeting, PDU configuration, high-density air cooling, exposure to liquid cooling
• Demonstrated ability to explain technical constraints to a non-technical audience without either dumbing it down or burying them

EEO – Equal Employment Opportunity

The Company is an equal opportunity employer and does not discriminate on the basis of and all qualified applicants will receive consideration for employment without regard to race, creed, color, sex, affectional or sexual orientation, gender identity or expression, gender, ethnicity, religion, national origin, ancestry, nationality, age, disability, marital status, veteran status, genetic information, or on any other basis prohibited by law (except where an attribute is a bona fide occupational qualification)