# Staff MLOps Engineer at AiDash

- Company: AiDash
- What the company does: AiDASH is making critical infrastructure industries climate resilient and sustainable. Backed by G2 Venture Partners.
- Company website: https://aidash.com
- Type: Startups (AI role)
- Level: Senior
- Location: Palo Alto, California, United States
- Work setup: On-site
- Pay: $230K to $270K base salary per year (USD)
- Posted: 2026-10-09
- Apply by: 2026-11-23
- Apply: https://job-boards.greenhouse.io/aidashinc/jobs/4444781009?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/aidash-staff-mlops-engineer/

## About the role

Our satellite and AI-powered products are changing how utilities see and protect the grid, and we're gearing up for aggressive customer growth over the next two years. That growth runs on AI at scale. We're building a brand-new Data Inference AI Pipeline team to deliver it, and we're looking for a Staff MLOps Engineer to architect its operational backbone from the very first line of infrastructure code. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 7-10+ years in software/ML engineering, including 3+ years focused specifically on MLOps or ML infrastructure
- Hands-on production experience with AWS SageMaker (or an equivalent managed ML platform) for model deployment and serving
- A proven track record designing systems for elasticity/autoscaling, cost optimization, and failover/resilience at production scale
- Strong expertise in containerization and orchestration (Docker, Kubernetes) and in CI/CD built for ML workloads, including model versioning and automated testing and rollout
- Experience instrumenting and owning cost and performance metrics for the infrastructure you're responsible for
- The ability to set technical direction as a Staff-level IC, building buy-in across Data Science and other engineering teams

Tags: R&D

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/aidash-staff-mlops-engineer/