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

$200000 - $260000

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.

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.