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Internship Kill Switch Engineer Jobs in Florida (NOW HIRING)

Sr. Electrical Engineer

Cape Canaveral, FL

$91K - $118K/yr

Switch-gear and motor control centers * Exterior and interior lighting * Ground support system ... internship experience qualifies) PREFERRED SKILLS AND EXPERIENCE: * 3+ years of years of ...

Sr. Electrical Engineer

Cape Canaveral, FL · On-site

$91K - $118K/yr

Switch-gear and motor control centers * Exterior and interior lighting * Ground support system ... internship experience qualifies) PREFERRED SKILLS AND EXPERIENCE: * 3+ years of years of ...

Sr. Electrical Engineer

Cape Canaveral, FL · On-site

$91K - $118K/yr

Switch-gear and motor control centers * Exterior and interior lighting * Ground support system ... internship experience qualifies) PREFERRED SKILLS AND EXPERIENCE: * 3+ years of years of ...

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Internship Kill Switch Engineer information

What are the key skills and qualifications needed to thrive as an internship kill switch engineer, and why are they important?

To thrive as a Kill Switch Engineer, you need a solid understanding of computer science fundamentals, cybersecurity principles, and experience with embedded systems or software development, typically supported by a relevant engineering degree. Familiarity with programming languages such as C/C++, Python, and tools like version control systems, as well as certifications like CompTIA Security+ or CISSP, are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help engineers identify vulnerabilities and collaborate with cross-functional teams. These skills are crucial to ensure the safe and effective implementation of kill switch mechanisms that protect systems from unauthorized access or compromise.

What types of projects or tasks can an internship kill switch engineer expect to be involved in during their internship?

As an Internship Kill Switch Engineer, you can expect to work closely with experienced engineers on tasks such as designing, testing, and implementing safety mechanisms that allow for the controlled shutdown of hardware or software systems. Typical responsibilities may include participating in code reviews, assisting with the integration of kill switch features into existing products, and helping to troubleshoot security vulnerabilities related to system shutdown protocols. You'll likely collaborate with cross-functional teams including cybersecurity, hardware, and software engineering, gaining exposure to real-world challenges in safety and security. This role provides hands-on experience that can serve as a foundation for future positions in embedded systems or cybersecurity engineering.

What is an internship kill switch engineer?

An Internship Kill Switch Engineer is a specialized role focused on developing, implementing, and maintaining emergency shutdown systems ('kill switches') for hardware or software used in sensitive environments. This position often involves designing fail-safe mechanisms to prevent unauthorized access, data breaches, or equipment malfunction. The role is particularly important in industries such as cybersecurity, robotics, or autonomous vehicles, where rapid deactivation can prevent accidents or security threats. As an intern, individuals in this position typically assist senior engineers, conduct testing, and document procedures while gaining hands-on experience in safety-critical technology.

Information Technology_USA - USA_Engineer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 2 days ago


Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES BETWEEN UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
Example: PTN_US_9999999_SKIPJOHNSON0413
: -
MSP Owner: Michelle Lee
Location: Dallas, TX / Hybrid
Duration: 6 months
skill id: 10892199
Summary
Build and scale a production multi-agent AI platform serving thousands of internal users across multiple business units. Monthly release cadence, real users, real latency, real cost.
What You'll Own
• LLM-driven orchestrator that routes user intent across a portfolio of specialized agents - delegation, memory, response validation, capability discovery.
• Agent selection layer - hybrid retrieval (vector RAG over a capability registry) plus closed-set LLM selection with JSON-schema-constrained outputs.
• Multi-agent SDK / gateway - FastAPI service hosting many agents behind path-prefix routing, per-agent tool registries, session-scoped conversational context.
• Tool-driven agents - 15-30 tools per agent composed dynamically by an LLM; owns tool contracts, guardrails, and evaluation.
• Data API layer - parameterized endpoints between agents and databases; LLMs never touch DBs directly.
• Partner-team onboarding - versioned A2A contract, bring-your-own-agent registration, auto re-embedding.
Core AI Engineering
• Production LLM systems: RAG, tool/function-calling loops, structured outputs, hallucination guards, closed-set selection.
• Multi-agent orchestration: A2A protocols, session affinity, human-in-the-loop gating, kill switches, graceful degradation.
• Vector search + embeddings at scale (sub-second retrieval over thousands of docs).
• Evaluation & safety: PII/PHI masking, audit trails, feedback-loop instrumentation, offline + online eval.
Platform / Infrastructure
• Python 3.11+, FastAPI, async I/O, Pydantic.
• Modern LLM stacks (Gemini, GPT, Claude) and agent frameworks (LangGraph, Agent SDKs).
• Cloud (GCP or AWS): Kubernetes, object storage, workflow orchestration, Vertex/Bedrock-class services.
• Redis, MongoDB, Oracle/Postgres, SSO + RBAC.
• Observability: Prometheus, structured JSON logs, per-decision audit trails, p95 latency SLOs in seconds.
Skills: Digital : Python~Digital : Machine Learning~Digital : Artificial Intelligence(AI)~Generative AI
Experience Required: 4-6