Senior Solutions Architect, Infrastructure (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Solutions Architect, Infrastructure in the United States.

This role offers an opportunity to serve as a technical leader and advisor for large-scale GPU server, networking, and AI infrastructure projects. The Senior Solutions Architect will guide customers through the deployment of advanced data center solutions, collaborating with engineering, product, and business teams to deliver innovative technology experiences. You will design, validate, and optimize network and compute architectures while addressing complex performance and integration challenges. This position blends hands-on technical expertise with strategic pre-sales engagement, including creating proofs-of-concept, delivering training, and supporting high-impact client projects. Ideal candidates thrive in collaborative, fast-paced environments and are passionate about solving complex technical problems for cutting-edge AI applications.

Accountabilities:

• Lead technical engagements with customers, advising on GPU server and networking infrastructure for data center and AI applications.
• Design and optimize compute, storage, network, and cluster architectures to meet customer requirements.
• Conduct technical workshops, presentations, and training sessions for clients and internal teams.
• Build custom product demonstrations and proofs-of-concept to showcase solutions and address client business needs.
• Identify new business and project opportunities for technology solutions in AI, cloud, and data center environments.
• Collaborate with engineering, product management, and sales teams to align solutions with customer objectives.
• Troubleshoot and resolve complex performance and integration issues across compute, network, and storage systems.

Requirements

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or equivalent experience.
• 8+ years of experience in solution engineering, sales engineering, or related technical pre-sales roles.
• Advanced knowledge of networking concepts, including data center topologies, routing, switching protocols, and Ethernet/Infiniband.
• Strong system-level understanding of server architecture, PCIe devices, NICs, Linux OS, and kernel drivers.
• Hands-on experience with containerization and DevOps/MLOps tools such as Docker and Kubernetes.
• Strong time management, communication, and documentation skills for conveying complex technical ideas.
• Customer-facing experience and ability to collaborate across multidisciplinary teams.

Preferred Qualifications:

• Experience in coding, debugging, and systems engineering (C/C++, Linux kernel).
• Hands-on knowledge of NVIDIA systems/SDKs, networking technologies (DPU, RoCE, InfiniBand), or ARM CPU solutions.
• Familiarity with virtualization concepts and cloud-based infrastructure deployments.
• Creative problem-solving skills and ability to think critically under complex scenarios.

Benefits

• Competitive base salary: $184,000–$287,500 (Level 4) or $224,000–$356,500 (Level 5), depending on experience and location.
• Eligibility for equity participation and performance-based bonuses.
• Comprehensive healthcare coverage including medical, dental, and vision.
• Flexible work environment with occasional travel for client visits and industry events.
• Opportunities for professional growth, mentoring, and career advancement in cutting-edge AI and infrastructure technologies.
• Inclusive, collaborative workplace culture that values creativity, autonomy, and innovation.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias—focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!