Software Engineer (SE / Sr SE), Data & ML Platform

Job details

Work model

Hybrid

Salary

$135,000 - $200,000

Location

Santa Clara, CA

Occupation

Software Developers(O*NET 15-1252.00)

Hiring context

How this role compares at PlusAI

PlusAI has 39 live roles in MeritLog’s catalog across 5 job families, and 11 of them are in data & analytics. 33 of those listings publish a pay range, a disclosure rate of 85%.

This role's posted range of $135,000 - $200,000 sits above 50% of the 32 other PlusAI roles quoted over the same currency and period.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

Job description

All key offline workloads - large-scale data processing, simulation, auto-labeling, scenario mining, and model training - run on the compute platform this role owns. In this role, you will improve the reliability and efficiency of our Kubernetes infrastructure, make workload onboarding simpler and more self-service, and build reusable batch and workflow capabilities for petabyte-scale processing. We are looking for strong Kubernetes and platform-engineering fundamentals, depth in at least one adjacent area-distributed data processing, ML/GPU infrastructure, or multi-tenant compute systems-and the curiosity and ownership to grow across the others. We are open to candidates at either the Software Engineer or Senior Software Engineer level. Level will be determined by experience, technical depth, scope of ownership, and demonstrated impact. You do not need experience with every technology in our stack; we value strong fundamentals, ownership, and the ability to learn. Responsibilities: Operate and evolve our production Kubernetes clusters end to end: bare-metal provisioning automation, highly available control planes, node lifecycle, GPU container runtime, networking, and storage Build safe, repeatable GitOps-based delivery for platform services and user applications using tools such as Argo CD, Helm, and Kustomize Develop shared multi-tenant platform capabilities for scheduling, resource isolation, storage, networking, access control, secrets, and observability while improving CPU/GPU utilization and cost efficiency Build and improve reusable distributed batch and workflow platforms for Spark data processing and GPU-based replay and simulation Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts