| Location | x, CA |
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.
· 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.
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
• 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.