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Remote Cyber Physical Systems Jobs (NOW HIRING)

Alice

GenAI CBRNE Cyber Expert

Develop realistic cyber-CBRNE attack scenarios involving critical infrastructure, industrial control systems, operational technology, cyber-physical systems, laboratory environments, hazardous ...

Alice

GenAI CBRNE Cyber Expert

Develop realistic cyber-CBRNE attack scenarios involving critical infrastructure, industrial control systems, operational technology, cyber-physical systems, laboratory environments, hazardous ...

Technomics

Cyber Risk Analyst SME

Arlington, VA · On-site +1

Conduct on-site and remote cyber risk assessments of enterprise systems, applications, and mission-critical infrastructures. * Apply NIST SP 800-30 risk assessment methodology, threat modeling ...

Belcan

REMOTE Embedded System Security Engineer

You will be supporting cyber-physical embedded systems related to engine controls for airborne platforms. Job duties: · Determine the technology and processes required to meet product requirements ...

Redhat

Software Engineer

Raleigh, NC · On-site +1

$115K - $185K/yr

S. or foreign equivalent) in Computer Science, Computer Engineering, Cyber-Physical Systems or ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Claroty

RevOps Data Analyst

New York, NY · On-site +1

$100K - $110K/yr

Claroty is a global leader in cyber-physical systems (CPS) protection, dedicated to securing the ... Instagram #LI-REMOTE

Red Hat, Inc.

$115K - $185K/yr

S. or foreign equivalent) in Computer Science, Computer Engineering, Cyber-Physical Systems or ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

SSI

Systems Engineer

MI · Remote

ABOUT SYSTEM STRATEGY, INC Driven to revolutionize innovation, System Strategy, Inc. (SSI) helps clients conceptualize and design for the deep interdependencies inherent in today's cyber-physical ...

Claroty

Manager, Global Order Management

New York, NY · On-site +1

$115K - $130K/yr

Claroty is a global leader in protecting cyber-physical systems (CPS), dedicated to securing the ... This role is fully remote, but eligibility is restricted to candidates currently residing in the US ...

SSI

Senior Systems Engineer

MI · Remote

$107K - $146K/yr

ABOUT SYSTEM STRATEGY, INC Driven to revolutionize innovation, System Strategy, Inc. (SSI) helps clients conceptualize and design for the deep interdependencies inherent in today's cyber-physical ...

Amyx, Inc.

Sr. Cybersecurity OT SME

Washington, DC · On-site +1

Design segmentation strategies (Purdue Model, DMZ, secure remote access). * Integrate OT telemetry ... Support forensic analysis and recovery planning for cyber-physical systems. * Stakeholder ...

Hired Recruiters

Senior Software Engineer

San Francisco, CA · On-site +1

$144K - $190K/yr

Develop and evolve software engineering practices for the unique needs of distributed cyber-physical systems. * Help to define the culture at a small and rapidly-growing company. * Deliver previously ...

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Remote Cyber Physical Systems information

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$74K

$133.5K

$171K

How much do remote cyber physical systems jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote cyber physical systems in the United States is $133,470.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $156,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Cyber Physical Systems vs Remote Embedded Systems?

AspectRemote Cyber Physical SystemsRemote Embedded Systems
Required CredentialsBachelor's in Engineering, Computer Science, or related fields; certifications in IoT or embedded systemsBachelor's in Electrical, Computer Engineering, or related fields; certifications in embedded development
Work EnvironmentDesigning, integrating, and managing interconnected physical and digital systems remotelyDeveloping and testing embedded software for devices remotely
Industry UsageManufacturing, automation, smart infrastructureConsumer electronics, automotive, medical devices
Common Search/ComparisonRemote Cyber Physical Systems vs Remote Embedded Systems

Remote Cyber Physical Systems focus on integrating physical processes with digital control remotely, often involving IoT and automation. Remote Embedded Systems involve programming and testing embedded hardware/software remotely, typically for consumer or industrial devices. While both roles require technical skills and certifications, CPS roles emphasize system integration across physical and digital domains, whereas embedded roles focus on software development for specific hardware.

More about Remote Cyber Physical Systems jobs

What cities are hiring for Remote Cyber Physical Systems jobs?

Cities with the most Remote Cyber Physical Systems job openings:

What are the most commonly searched types of Cyber Physical Systems jobs?

The most popular types of Cyber Physical Systems jobs are:

What states have the most Remote Cyber Physical Systems jobs?

States with the most job openings for Remote Cyber Physical Systems jobs include:

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Remote Cyber Physical Systems jobs near you
Infographic showing various Remote Cyber Physical Systems job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $133,470 per year, or $64.2 per hour.

GenAI CBRNE Cyber Expert

Alice

Remote

Full-time

Posted 8 days ago

Job description

Description
As a GenAI CBRNE Cyber Red Team Expert, you will play a critical role in adversarially testing and strengthening the safety guardrails of GenAI systems against high-risk cyber threats involving CBRNE domains.
You will combine deep cybersecurity expertise with CBRNE domain knowledge and hands-on AI red-teaming to design sophisticated adversarial prompts, multi-turn attack scenarios, jailbreaks, and model evaluations. Your work will identify circumstances in which GenAI systems could inadvertently provide information or capabilities that materially enable cyber-enabled CBRNE threats.
The role requires an adversarial mindset: thinking creatively about how malicious actors could manipulate AI systems, combine seemingly benign information across multiple interactions, circumvent safeguards, or exploit model behavior to obtain sensitive cyber-CBRNE information.
Key Responsibilities
  • Execute rigorous adversarial red-teaming of Generative AI models across cyber-CBRNE threat scenarios, systematically probing models for vulnerabilities, safeguard bypasses, dangerous capability escalation, and unintended disclosure of sensitive operational information.
  • Design and execute adversarial prompts, jailbreaks, prompt mutations, multi-turn conversations, and scenario-based evaluations that test whether model safeguards remain effective against sophisticated or obfuscated cyber-CBRNE requests.
  • Develop realistic cyber-CBRNE attack scenarios involving critical infrastructure, industrial control systems, operational technology, cyber-physical systems, laboratory environments, hazardous-material facilities, and other high-consequence systems.
  • Evaluate whether models can be manipulated into materially assisting threat actors through attack planning, vulnerability analysis, target-specific reasoning, operational troubleshooting, or the aggregation of individually benign information into higher-risk workflows.
  • Identify and document failure modes and attack patterns, including indirect requests, role-playing, encoded or obfuscated prompts, terminology substitution, decomposition of harmful objectives into benign-looking subtasks, and multi-turn escalation.
  • Conduct systematic taxonomy audits and safety evaluations, classify model failures by severity and exploitability, reproduce findings, and provide actionable recommendations to AI safety and model-alignment teams.
  • Develop repeatable red-team test suites, adversarial datasets, evaluation rubrics, and risk taxonomies for measuring model resilience against emerging cyber-CBRNE threats.
  • Maintain current knowledge of emerging GenAI attack techniques, AI safety research, cyber threat intelligence, CBRNE security risks, and cybersecurity threats affecting critical infrastructure and high-consequence environments.

Requirements
Requirements
  • Location: Must be located in and authorized to work within the United States (excluding Illinois and Texas) or United Kingdom.
  • Education: Advanced degree in Cybersecurity, Computer Science, Engineering, Security Studies, CBRNE-related sciences, or a closely related technical field. Equivalent advanced professional, military, intelligence, government, or industry experience may be considered.
  • Cybersecurity Expertise: Deep understanding of cybersecurity concepts, adversarial techniques, vulnerability analysis, attack chains, threat modeling, and defensive security.
  • CBRNE Knowledge: Strong understanding of security and risk considerations associated with Chemical, Biological, Radiological, Nuclear, and/or Explosive environments, particularly their intersection with cyber and digital systems.
  • Red Team Expertise: Demonstrated experience with red teaming, penetration testing, adversarial simulation, vulnerability research, security testing, threat emulation, or comparable offensive-security methodologies.
  • GenAI Red Teaming: Experience or demonstrated aptitude in adversarial prompt generation, jailbreak research, prompt mutation, multi-turn testing, model behavior analysis, and evaluation of LLM safety controls.
  • ICS/OT Knowledge: Familiarity with industrial control systems, SCADA, operational technology, cyber-physical systems, or critical-infrastructure environments.
  • Adversarial Mindset: Ability to think creatively about how sophisticated users could circumvent model safeguards through decomposition, obfuscation, contextual manipulation, multi-turn interactions, or combinations of otherwise permissible information.
  • Communication: Strong technical writing skills with the ability to clearly document prompts, attack methodology, model responses, vulnerabilities, reproduction steps, severity assessments, and recommended mitigations.

Preferred Qualifications
  • Hands-on experience with LLM red teaming, AI safety evaluations, jailbreak research, prompt engineering, adversarial prompt writing, or model vulnerability research.
  • Experience developing red-team test cases, adversarial datasets, model evaluation benchmarks, attack taxonomies, or automated LLM evaluation pipelines.
  • Familiarity with frontier AI safety concepts, dangerous-capability evaluations, responsible scaling frameworks, model safeguards, and emerging GenAI security standards.
  • Professional experience in offensive security, penetration testing, vulnerability research, cyber threat intelligence, incident response, or adversary emulation.
  • Familiarity with MITRE ATT&CK, MITRE ATT&CK for ICS, NIST cybersecurity frameworks, IEC 62443, and other critical-infrastructure cybersecurity standards.
  • Experience working in national security, defense, intelligence, government laboratories, critical infrastructure, CBRNE security, or high-consequence industrial environments.
  • Relevant offensive-security, ICS/OT security, or cybersecurity certifications are advantageous.
  • Expertise in one or more of the following red-team areas:
  • GenAI Cyber Red Teaming: Adversarial testing of LLMs for cyber capabilities, including attempts to circumvent safeguards through prompt manipulation, decomposition, multi-turn interactions, and other adversarial techniques.
  • ICS/OT Red Teaming: Security assessment and adversarial testing involving industrial control systems, SCADA, operational technology, cyber-physical systems, and critical infrastructure.
  • Chemical & Industrial Cyber Risk: Understanding of cyber threats affecting chemical facilities, hazardous-material environments, industrial processes, process-control environments, and associated safety systems.
  • Biological & Laboratory Cyber Risk: Understanding of cyber and information-security risks affecting laboratories, biotechnology environments, research infrastructure, laboratory automation, and associated digital systems.
  • Radiological & Nuclear Cyber Risk: Understanding of cybersecurity risks and safeguards associated with nuclear or radiological facilities, monitoring systems, control environments, and supporting infrastructure.
  • Cyber-Physical & High-Consequence Threats: Expertise in analyzing scenarios where compromise of digital systems could produce significant physical, safety, environmental, or CBRNE consequences.

The salary range for this role in the US is $150K - $178K - Range may vary based on experience. Salary at the time of offer will be commensurate with experience.
About Alice
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines.
In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.
Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms.
If you're creative and driven to secure the future of AI, we want to hear from you!

Apply