Job Description
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10105282
- Position Id: 887397
- Posted 30+ days ago
