Sr. Data Infrastructure Engineer
Waltham, MA, United States • Posted June 03, 2026
Job Type:
Full-time
Location:
Waltham, MA
Posted:
June 03, 2026
Category:
other-general
Application Deadline:
June 07, 2026
Role Description
The Elevator Pitch
Join Evolv as Senior Data Infrastructure Engineer in the Machine Learning & Sensors organization, responsible for building and operating the scalable, secure, and reliable data pipelines that power our AI/ML research and production systems. In this role, you will own the end‑to‑end data lifecycle—from collection on thousands to millions of edge devices, through cloud ingestion and processing, into a centralized data factory enabling model training, evaluation, and continuous improvement.
Data is the backbone of our mission to deliver best‑in‑class AI‑based weapon detection systems. You will ensure that data flows seamlessly across geographies, devices, and cloud systems while meeting strict requirements for quality, privacy, security, and scale. This role is ideal for someone who thrives at the intersection of distributed systems, cloud pipelines, and ML‑driven data needs.
Success in the Role: What performance outcomes will you work toward ...
Join Evolv as Senior Data Infrastructure Engineer in the Machine Learning & Sensors organization, responsible for building and operating the scalable, secure, and reliable data pipelines that power our AI/ML research and production systems. In this role, you will own the end‑to‑end data lifecycle—from collection on thousands to millions of edge devices, through cloud ingestion and processing, into a centralized data factory enabling model training, evaluation, and continuous improvement.
Data is the backbone of our mission to deliver best‑in‑class AI‑based weapon detection systems. You will ensure that data flows seamlessly across geographies, devices, and cloud systems while meeting strict requirements for quality, privacy, security, and scale. This role is ideal for someone who thrives at the intersection of distributed systems, cloud pipelines, and ML‑driven data needs.
Success in the Role: What performance outcomes will you work toward ...
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