Industrial AI & Control Systems Engineer

Zealot Labs, Inc.; New York, Northern (NY, KY); Hybrid; USD 100,000 - 195,000; Full time

Job summary

Zealot Labs, Inc. in New York, NY on-site is seeking engineers to build AI systems that influence industrial processes through real-time control and DSP-focused software.

Candidates should bring deep expertise in C/C++, assembly, PLC logic, and low-level systems work. You will work at the frontier of AI, control theory, and cyber capabilities, developing models and tooling to translate access into effects while ensuring responsible handling of critical infrastructure.

Qualifications

• Experience with DSP architectures and low-level systems programming.
• Strong understanding of real-time control loops and safety systems.
• Knowledge of industrial control systems and PLC logic.
• Experience with LLMs and AI agents is a plus.

Responsibilities

• Build AI systems that understand industrial processes and 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.
• Strong C/C++ and assembly skills for low-level systems work.

Skills

C/C++

Assembly language

PLC ladder logic

Real-time control

DSP architectures

Tools

TI C6000/C5000 DSPs

ARM NEON

Qualcomm Hexagon

HDL (Verilog/VHDL)

Job description

Zealot Labs, Inc. in New York, NY on-site is seeking engineers to build AI systems that influence industrial processes through real-time control and DSP-focused software.

Candidates should bring deep expertise in C/C++, assembly, PLC logic, and low-level systems work. You will work at the frontier of AI, control theory, and cyber capabilities, developing models and tooling to translate access into effects while ensuring responsible handling of critical infrastructure.