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Remote Hardware Security Engineer Jobs in Arizona

EnerSys

Application Security Engineer (REMOTE)

Phoenix, AZ · Remote

$117K - $146K/yr

Job Purpose The Application Security Engineer is responsible for strengthening the security of our applications, platforms, and development processes. This position partners with software engineers ...

Provn

Agentic Software Engineer II (Remote)

Scottsdale, AZ · Remote

$97K - $133K/yr

... Security teams, and consult senior engineers on architectural calls while raising the risks that ... This role is fully remote within the US, on a fast-paced, highly collaborative team that spans US ...

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Remote Hardware Security Engineer information

What is the difference between Remote Hardware Security Engineer vs Remote Network Security Engineer?

AspectRemote Hardware Security EngineerRemote Network Security Engineer
Required CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, CISSP, CEH
Work EnvironmentDesigning and testing hardware security modules, embedded systemsSecuring network infrastructure, firewalls, VPNs
Industry UsageHardware manufacturing, IoT, embedded systemsIT, telecommunications, enterprise networks
Common Search/ComparisonYesYes

Remote Hardware Security Engineers focus on securing physical hardware components and embedded systems, while Remote Network Security Engineers concentrate on protecting network infrastructure. Both roles require similar certifications and are vital in cybersecurity, but they target different aspects of security within organizations.

What are the most commonly searched types of Hardware Security Engineer jobs in Arizona? The most popular types of Hardware Security Engineer jobs in Arizona are:
What are popular job titles related to Remote Hardware Security Engineer jobs in Arizona? For Remote Hardware Security Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Hardware Security Engineer jobs in Arizona look for? The top searched job categories for Remote Hardware Security Engineer jobs in Arizona are:
What cities in Arizona are hiring for Remote Hardware Security Engineer jobs? Cities in Arizona with the most Remote Hardware Security Engineer job openings:
Remote Hardware Security Engineer jobs near you
Infographic showing various Remote Hardware Security Engineer job openings in Arizona as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution.

ML Security Engineer

Bright Vision Technologies

Scottsdale, AZ • Remote

$100K - $150K/yr

Full-time

Posted 8 days ago

Job description

ML Security Engineer- Remote 
 
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: ML Security Engineer
Location: 100% Remote (U.S.) 
Position Type: Full-time, Direct W2 
Salary Range: $100,000–$150,000 Annually 
Experience Required: 6+ years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
 
Job Summary 
We are seeking an AI Security Engineer to lead the design and implementation of security controls, threat models, and incident response capabilities specifically tailored to AI and machine learning systems. The role addresses the unique security challenges posed by LLMs, model APIs, training data pipelines, and AI-powered applications, including prompt injection, model abuse, data exfiltration, and supply chain risks. The ideal candidate has strong security engineering fundamentals and a deep understanding of how modern AI systems work in practice, with hands-on experience designing defenses for both AI-powered applications and the AI infrastructure that supports them. 
Key Responsibilities 
  • Define and implement security controls specifically targeting LLM and AI-powered application risks. 
  • Build threat models for AI systems, including prompt injection, jailbreaks, data exfiltration, and abuse patterns. 
  • Design and deploy guardrails, content filters, and policy enforcement layers around model endpoints. 
  • Implement runtime detection and response capabilities for adversarial prompts and abusive behavior. 
  • Secure training and fine-tuning pipelines, including data provenance, integrity, and access controls. 
  • Design controls for sensitive data handling, retention, and redaction in LLM workflows. 
  • Lead red-team exercises against AI systems and drive remediation of identified weaknesses. 
  • Evaluate and harden third-party AI services and open-source AI components used internally. 
  • Implement identity, authorization, and tenant-isolation patterns for multi-tenant AI services. 
  • Drive supply chain security for ML artifacts including weights, datasets, and inference dependencies. 
  • Collaborate with privacy, legal, and compliance teams to ensure AI systems meet regulatory obligations. 
  • Develop monitoring, logging, and detection strategies tailored to AI workloads. 
  • Lead incident response for AI-specific security events and drive durable improvements. 
  • Stay current with adversarial ML, LLM security research, and emerging regulatory developments. 
Required Qualifications 
  • Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related discipline. 
  • Six or more years of security engineering experience, including significant work on AI or ML systems. 
  • Strong understanding of LLM internals, modern AI architectures, and common failure modes. 
  • Hands-on experience designing security controls for AI-powered applications. 
  • Deep knowledge of application security, identity, and cryptography fundamentals. 
  • Experience with threat modeling and security architecture review processes. 
  • Familiarity with adversarial ML, prompt injection, and model abuse research. 
  • Proficiency in Python and at least one systems language. 
  • Strong understanding of cloud security and modern infrastructure controls. 
  • Excellent written and verbal communication skills. 
Preferred Qualifications 
  • Publications, talks, or CTF participation in AI security topics. 
  • Experience with red-teaming LLM-based products. 
  • Familiarity with privacy-preserving ML techniques such as differential privacy. 
  • Exposure to regulated industries with strict data handling requirements. 
  • Open-source contributions to AI security tooling
How to Apply 
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer. 
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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