Systems / Solutions Engineer – GPU & AI Infrastructure
LB299
Posted: 04/11/2026
- -
- Fremont, California
- Permanent
🚨 GPU & AI Computing – Engineering & Customer Solutions Roles
📍 Full-time onsite, Fremont, California
I’m working with an established GPU computing company hiring across systems engineering, solutions engineering and technical sales.
They turn customer requirements into complete computing systems, from GPU workstations and servers to storage, networking and AI clusters supporting research, deep learning, simulation and scientific computing.
With more than three decades in the industry and NVIDIA’s Solution Integration Partner of the Year award in both 2024 and 2025, they work closely with partners including NVIDIA, AMD, Supermicro and Gigabyte.
These opportunities suit people who enjoy working with computing hardware, solving practical technical problems and taking ownership. Whether your strengths sit in hands-on engineering, designing customer solutions or configuring and quoting systems, there could be a relevant fit.
You’ll work on:
- Helping build, configure, validate or deliver GPU workstations, servers and computing infrastructure
- Understanding workload requirements and selecting suitable hardware and software
- Solving configuration, compatibility, integration or performance challenges
- Working across CPUs, GPUs, memory, storage and networking
- Collaborating with engineering teams, technology partners and customers
- Taking ownership of technical issues and following them through to resolution
- Depending on your role, supporting hardware testing, solution design, customer discussions or system quotations
Requirements:
✅ Experience in systems engineering, testing, hardware integration, solutions engineering, technical sales or a related technical field
✅ Practical familiarity with computing hardware, such as CPUs, GPUs, memory, storage or networking
✅ Ability to understand technical requirements and explain your recommendations clearly
✅ Evidence of personally solving problems and delivering results
✅ Clear communication and a collaborative approach with colleagues or customers
✅ Curiosity about GPU computing, AI infrastructure and new hardware platforms
✅ Initiative, attention to detail and confidence taking ownership
✅ Willingness to work full-time onsite in Fremont
💰 Package: Role-dependent competitive compensation and comprehensive benefits, with commission/bonus opportunities
Harry Bailey
Researcher