Systems / Solutions Engineer – GPU & AI Infrastructure

Acceler8; California; On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Comprehensive benefits

Commission/bonus opportunities

Job summary

Acceler8 Talent is hiring for GPU & AI computing roles in Fremont, CA. The teams cover engineering and customer solutions, with roles in systems engineering, solutions engineering and technical sales.

Expect hands-on work with GPU workstations, servers, storage and AI clusters, plus direct customer engagement. Roles span hardware integration, configuration validation, and delivering complete computing solutions.

Qualifications

• 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.
• Clear communication and a collaborative approach with colleagues or customers.

Responsibilities

• 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.

Skills

GPU computing

Systems engineering

Solutions engineering

Technical sales

Hardware integration

Job description

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