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SCADA/ICS Effects Engineer Applied AI CNA Siemens Schneider ABB TI DSP , NY/On Site
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-08-28
Listing for:
Zealot Labs, Inc.
Full Time
position Listed on 2026-08-28
Job specializations:
-
Manufacturing / Production
Systems Engineer
Job Description & How to Apply Below
Location: New York
Zealot is deploying AI systems at the center of western cyber operations , backed by tier-1 US VCs and industry leaders. Our team includes alumni of Anthropic, xAI, and Anduril. Soon live with close U.S. allies abroad.
APPLIED AI CNA SIEMENS SCHNEIDER ABB TI DSP
Compensation 100K-195K + skin in the game equity
Location New York, NY On Site
Stage Early-stage startup backed by tier 1 investors. Small, growing team with exceptionally high ownership.
- + Build AI systems that understand industrial processes well enough to disrupt, degrade, or manipulate them at scale.
- + Develop the models and tooling that translate access into effects, turning a compromised PLC into altered physics.
- + Teach machines to reason about control loops, safety systems, and process dependencies so effects can be generated at scale, not hand-crafted one target at a time.
- + Work at the intersection of AI, control theory, and cyber capabilities to create something that has never existed before.
- + Deep understanding of how industrial control systems drive physical processes, and how to subvert them.
- + Experience with DSP architectures (TI C6000/C5000, ARM NEON, Qualcomm Hexagon) or similar.
- + Strong understanding of real-time control loops, PLC ladder logic, and safety instrumented systems.
- + Strong C/C++ and assembly skills for low-level systems work.
- + Experience with telecommunications infrastructure (baseband, signal processing chains).
- + Familiarity with FPGA-based control systems and HDL reverse engineering.
- + Experience with power grid, water treatment, or manufacturing control systems.
- + Background in signal processing, control theory, or electrical engineering.
- + Experience building with LLMs and AI agents.
- + Prior work in government or military cyber capabilities operations.
- + Drawn to what happens after access.
- + Clearly interested in stepping away from purely manual research and moving toward the development of AI systems.
- + Building something massive matters more to you than comfort, titles, or predictability.
- + You want to be early at a company that will change an industry, and you're ready to do what that actually takes.
Note to recruiting firms:
This role is about effects, not access. The candidate should understand how to make compromised industrial systems do something: disrupt processes, manipulate outputs, bypass safety systems. IC… domain knowledge and DSP or control systems experience are essential.
Ready?
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