Principal / Senior Solutions Engineer - Mid-Stack & AI Platform

We are seeking a Solutions Engineer – AI Platform for a Full-Time role based in California . Our client is a well-capitalized, high-growth enterprise infrastructure and compute platform provider engineering large-scale, multi-vendor accelerator environments. Their core software platform focuses on orchestration, distributed cluster management, platform abstraction, and high-efficiency workload scaling to optimize high-performance compute resources for enterprise teams. This is an exceptional ground-floor opportunity to join an expanding commercial team as the primary technical bridge between complex infrastructure orchestration and enterprise engineering teams. The #1 feature of this opportunity is the chance to shape platform abstraction at immense physical scale : you will work directly alongside sales leadership to engage enterprise platform architects, lead technical discovery, and demonstrate how modern orchestration simplifies large-scale accelerated computing. We are looking for an adaptable, customer-facing platform technologist with strong Kubernetes and distributed systems fundamentals who aspires to grow into technical leadership. You will join a culture built on technical excellence, mutual trust, continuous skill development, and sustainable work-life balance. Required Skills & Experience 5+ years of experience in pre-sales engineering, solutions architecture, or customer-facing platform/systems engineering. Deep technical mastery of containerization and orchestration at scale, specifically enterprise Kubernetes (K8s) and high-performance scheduler integrations. Hands-on architectural experience with large-scale accelerator infrastructure, multi-node clustering, and workload abstraction across diverse hardware environments. Familiarity with distributed storage integrations, cluster telemetry, and low-latency networking concepts supporting compute-intensive platforms. Proven ability to co-own commercial opportunities with enterprise account executives, leading technical qualification, proofs-of-concept (PoCs), and architecture design sessions. Strong verbal and written communication skills with the ability to articulate architectural trade-offs to senior engineering leaders and C-level decision-makers. Desired Skills & Experience Experience with platform tooling across multi-tenant enterprise environments, MLOps orchestration stacks, or high-performance schedulers (e.g., Slurm, Ray, Kubernetes operators). Prior background at enterprise software companies, cloud-native infrastructure providers, or specialized cloud environments. Hands-on scripting and automation capability (Python, Go, Bash, Terraform, or Helm). Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related technical field, or equivalent practical experience. What You Will Be Doing Tech Breakdown 40% Kubernetes & Large-Scale Cluster Orchestration 35% Accelerator Infrastructure Abstraction & Multi-Node Compute 25% Platform Telemetry, Storage Integrations & Network Interfaces Daily Responsibilities 45% Customer Architecture Sessions, Demos & Technical Qualification 35% Hands-On Solution Scoping, PoC Design & RFP Authoring 20% Team Collaboration & Product Feedback Alignment The Offer Commission eligible You will receive the following benefits: Medical Insurance Dental Benefits Vision Benefits Paid Time Off (PTO) Applicants must be currently authorized to work in the US on a full-time basis now and in the future. #J-18808-Ljbffr Motion Recruitment