Cybersecurity Engineer Visa Sponsorship Jobs in Oregon
Oregon's cybersecurity engineer job market is anchored by Intel's large campus in Hillsboro, Nike's headquarters in Beaverton, and a growing cluster of tech firms in Portland. State government agencies and Oregon Health & Science University also hire for these roles. Several Oregon employers have established H-1B visa sponsorship track records for qualified cybersecurity candidates.
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Get Access To All JobsLocation:
Hillsboro, OR
Job ID:
R0144180
Date Posted:
2026-09-16
Company Name:
HITACHI HIGH-TECH AMERICA, INC.
Profession (Job Category):
IT, Telecom & Internet
Job Schedule:
Full time
Remote:
No
Job Description:
POSITION: AI Data & Security Governance Engineer
DIVISION: Metrology and Analysis Systems Division (MAD)
COMPANY: Hitachi High-Tech America, Inc. (“HTA”)
LOCATION: Hillsboro, OR
TRAVEL: Up to 25% (domestically and internationally)
REMOTE WORK: Hybrid (+50% Onsite) – Onsite 60% / Remote 40%
EXPECTED PAY RANGE: $134,476 - $184,905 annually
This pay range is for the position’s base pay only. This position may be eligible for other compensation including incentive pay and/or allowances. Candidates will receive additional information during the interview and selection process.
Position Summary
As an AI Data & Security Governance Engineer (AIE) at HTA, you will build the technical guardrails that allow our distributed engineering and data science teams to innovate safely. Instead of just writing policies, the AIE will implement ‘governance as code.’ The AIE will design and deploy automated security controls, manage data access infrastructure, and integrate model evaluation and security checks directly into our CI/CD pipelines. The AIE will work closely with HTA divisions to ensure that our data storage, LLM deployments, and application architecture remain secure, compliant, and highly performant.
PRIMARY RESPONSIBILITIES
Data Security, Access & Infrastructure Security
- Automated Access Controls: Design, implement, and maintain granular Role-Based Access Control (RBAC) and identity management across our cloud infrastructure and internal tools
- Data Protection Pipelines: Build automated data masking, anonymization, and encryption mechanisms into data ingestion and processing pipelines
- Infrastructure Security: Secure distributed storage solutions and ensure secure configurations across compute instances and databases
- Cloud IAM hardening, secret management (e.g., HashiCorp Vault, AWS Secrets Manager), and zero-trust data access patterns
- Secure vector database architecture (e.g., Milvus, Pinecone, pgvector) with tenant isolation and metadata-level filtering
AI/MLSecOps & Guardrail Implementation
- Generative AI Security: Engineer and deploy technical safeguards for large language models (e.g., Llama or similar architecture), including input/output filtering to prevent prompt injection and data leakage
- CI/CD Integration: Integrate automated security scanning, fairness/bias testing, and model performance evaluations directly into standard CI/CD deployment manuals
- Model Monitoring: Build telemetry and alerting systems to track model drift, anomalous API usage, and compliance adherence in real-time
Data Governance Infrastructure
- Metadata & Lineage: Develop automated processes to extract and catalog metadata, ensuring end-to-end data lineage is tracked programmatically
- Audit Automation: Build automated reporting scripts and dashboards to provide continuous visibility into data access logs and model compliance for security audits
Other duties as assigned
EDUCATION, LICENSES, and/or CERTIFICATION REQUIREMENTS
- Master’s degree in Computer Security, AI Engineering/Governance, Software Engineering, or related field or equivalent combination of education and experience
EXPERIENCE and TRAVEL REQUIREMENTS
Technical Experience
- Minimum of five (5) years of software, data, or security engineering experience
- Minimum of five (5) years of experience of programming proficiency in Python, SQL, Bash, Go, or similar languages used in data and infrastructure engineering
- Minimum of five (5) years of experience with AI/ML Ops deploying and securing machine learning models (including generative AI/LLMs) in production environments
- Minimum of five (5) years of experience with DevOps & Automation CI/CD pipelines, Git workflows (e.g., monorepo architecture), and infrastructure-as-code tools
- Minimum of five (5) years of experience in Governance platforms such as Collibra, Immuta, Privacera etc.
- Minimum of five (5) years of experience with frameworks and audits such as NIST AI RMF, ISO 42001, OWASP LLM Top 10
Domain Expertise
- Minimum of one (1) year of hands-on experience implementing AI guardrails and moderation pipelines (e.g., NeMo Guardrails, Llama Guard, Guardrails AI)
- Minimum of one (1) year of experience in AI red teaming, adversarial robustness testing, and hallucination/bias monitoring
- Deep understanding of data security principles (encryption, IAM, secure network architecture)
- Familiarity with cloud platforms and distributed storage architecture
- Knowledge of AI vulnerabilities (e.g., OWASP Top 10 for LLMs) and mitigation strategies
Preferred Qualifications
- Minimum of five (5) years of experience working with distributed teams across multiple geographic regions
- Familiarity with compliance frameworks (GDPR, CCPA) and translating them into technical requirements
25% travel (international and domestic)
SKILLS and ABILITIES REQUIREMENTS / SAFETY REQUIREMENTS
- Ability to work under pressure and with aggressive release timelines
- Ability to work in a challenging, small team environment (less than 10 members)
- Ability to prioritize and multitask between multiple responsibilities
- Must have strong problem-solving skills
- Demonstrate strong work ethics
- Demonstrate strong verbal and written communication skills with people at all levels within the organization and outside of the company
- Ability to quickly transport from location to location (i.e., air, car, etc.)
- Must comply with all corporate safety requirements and directives
- Expected to use Personal Protective Equipment (PPE) when required
- Follow all equipment-specific safety protocols
Equal Opportunity Employer (EOE)
Hitachi High-Tech America, Inc. is an equal opportunity employer. Hitachi High-Tech America, Inc. is committed to equal employment opportunities for qualified applicants without discrimination on the basis of actual or perceived of race (including traits historically associated with race, such as natural hairstyle), color, national origin, ancestry, religious creed, age, sex, sexual orientation, gender (including gender expression and gender identity), marital status, registered domestic partner status, family status, military and veteran status, domestic violence victim status, medical condition (including genetic characteristics), physical or mental disability, pregnancy, or any other legally protected characteristic or status.
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to HTA-AccommodationRequests@hitachi-hightech.com
Location:
Hillsboro, OR
Job ID:
R0144180
Date Posted:
2026-09-16
Company Name:
HITACHI HIGH-TECH AMERICA, INC.
Profession (Job Category):
IT, Telecom & Internet
Job Schedule:
Full time
Remote:
No
Job Description:
POSITION: AI Data & Security Governance Engineer
DIVISION: Metrology and Analysis Systems Division (MAD)
COMPANY: Hitachi High-Tech America, Inc. (“HTA”)
LOCATION: Hillsboro, OR
TRAVEL: Up to 25% (domestically and internationally)
REMOTE WORK: Hybrid (+50% Onsite) – Onsite 60% / Remote 40%
EXPECTED PAY RANGE: $134,476 - $184,905 annually
This pay range is for the position’s base pay only. This position may be eligible for other compensation including incentive pay and/or allowances. Candidates will receive additional information during the interview and selection process.
Position Summary
As an AI Data & Security Governance Engineer (AIE) at HTA, you will build the technical guardrails that allow our distributed engineering and data science teams to innovate safely. Instead of just writing policies, the AIE will implement ‘governance as code.’ The AIE will design and deploy automated security controls, manage data access infrastructure, and integrate model evaluation and security checks directly into our CI/CD pipelines. The AIE will work closely with HTA divisions to ensure that our data storage, LLM deployments, and application architecture remain secure, compliant, and highly performant.
PRIMARY RESPONSIBILITIES
Data Security, Access & Infrastructure Security
- Automated Access Controls: Design, implement, and maintain granular Role-Based Access Control (RBAC) and identity management across our cloud infrastructure and internal tools
- Data Protection Pipelines: Build automated data masking, anonymization, and encryption mechanisms into data ingestion and processing pipelines
- Infrastructure Security: Secure distributed storage solutions and ensure secure configurations across compute instances and databases
- Cloud IAM hardening, secret management (e.g., HashiCorp Vault, AWS Secrets Manager), and zero-trust data access patterns
- Secure vector database architecture (e.g., Milvus, Pinecone, pgvector) with tenant isolation and metadata-level filtering
AI/MLSecOps & Guardrail Implementation
- Generative AI Security: Engineer and deploy technical safeguards for large language models (e.g., Llama or similar architecture), including input/output filtering to prevent prompt injection and data leakage
- CI/CD Integration: Integrate automated security scanning, fairness/bias testing, and model performance evaluations directly into standard CI/CD deployment manuals
- Model Monitoring: Build telemetry and alerting systems to track model drift, anomalous API usage, and compliance adherence in real-time
Data Governance Infrastructure
- Metadata & Lineage: Develop automated processes to extract and catalog metadata, ensuring end-to-end data lineage is tracked programmatically
- Audit Automation: Build automated reporting scripts and dashboards to provide continuous visibility into data access logs and model compliance for security audits
Other duties as assigned
EDUCATION, LICENSES, and/or CERTIFICATION REQUIREMENTS
- Master’s degree in Computer Security, AI Engineering/Governance, Software Engineering, or related field or equivalent combination of education and experience
EXPERIENCE and TRAVEL REQUIREMENTS
Technical Experience
- Minimum of five (5) years of software, data, or security engineering experience
- Minimum of five (5) years of experience of programming proficiency in Python, SQL, Bash, Go, or similar languages used in data and infrastructure engineering
- Minimum of five (5) years of experience with AI/ML Ops deploying and securing machine learning models (including generative AI/LLMs) in production environments
- Minimum of five (5) years of experience with DevOps & Automation CI/CD pipelines, Git workflows (e.g., monorepo architecture), and infrastructure-as-code tools
- Minimum of five (5) years of experience in Governance platforms such as Collibra, Immuta, Privacera etc.
- Minimum of five (5) years of experience with frameworks and audits such as NIST AI RMF, ISO 42001, OWASP LLM Top 10
Domain Expertise
- Minimum of one (1) year of hands-on experience implementing AI guardrails and moderation pipelines (e.g., NeMo Guardrails, Llama Guard, Guardrails AI)
- Minimum of one (1) year of experience in AI red teaming, adversarial robustness testing, and hallucination/bias monitoring
- Deep understanding of data security principles (encryption, IAM, secure network architecture)
- Familiarity with cloud platforms and distributed storage architecture
- Knowledge of AI vulnerabilities (e.g., OWASP Top 10 for LLMs) and mitigation strategies
Preferred Qualifications
- Minimum of five (5) years of experience working with distributed teams across multiple geographic regions
- Familiarity with compliance frameworks (GDPR, CCPA) and translating them into technical requirements
25% travel (international and domestic)
SKILLS and ABILITIES REQUIREMENTS / SAFETY REQUIREMENTS
- Ability to work under pressure and with aggressive release timelines
- Ability to work in a challenging, small team environment (less than 10 members)
- Ability to prioritize and multitask between multiple responsibilities
- Must have strong problem-solving skills
- Demonstrate strong work ethics
- Demonstrate strong verbal and written communication skills with people at all levels within the organization and outside of the company
- Ability to quickly transport from location to location (i.e., air, car, etc.)
- Must comply with all corporate safety requirements and directives
- Expected to use Personal Protective Equipment (PPE) when required
- Follow all equipment-specific safety protocols
Equal Opportunity Employer (EOE)
Hitachi High-Tech America, Inc. is an equal opportunity employer. Hitachi High-Tech America, Inc. is committed to equal employment opportunities for qualified applicants without discrimination on the basis of actual or perceived of race (including traits historically associated with race, such as natural hairstyle), color, national origin, ancestry, religious creed, age, sex, sexual orientation, gender (including gender expression and gender identity), marital status, registered domestic partner status, family status, military and veteran status, domestic violence victim status, medical condition (including genetic characteristics), physical or mental disability, pregnancy, or any other legally protected characteristic or status.
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to HTA-AccommodationRequests@hitachi-hightech.com
Cybersecurity Engineer Job Roles in Oregon
See all 102+ Cybersecurity Engineer Jobs in Oregon
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Search Cybersecurity Engineer Jobs in OregonCybersecurity Engineer Jobs in Oregon: Frequently Asked Questions
Which companies in Oregon sponsor visas for cybersecurity engineers?
Intel is one of the most active H-1B sponsors in Oregon, regularly filing for cybersecurity and information security roles at its Hillsboro campus. Nike, based in Beaverton, has also sponsored cybersecurity engineers. Portland-area technology companies, managed security service providers, and financial institutions such as Umpqua Bank have appeared in Department of Labor disclosure data for security-related roles. State agency and federal contractor positions may have additional citizenship or clearance requirements that limit sponsorship.
Which visa types are most common for cybersecurity engineer roles in Oregon?
The H-1B is the most common visa for cybersecurity engineers in Oregon, as the role typically requires a bachelor's degree or higher in computer science, information security, or a related field, qualifying it as a specialty occupation. F-1 graduates on OPT or STEM OPT frequently work in these roles while awaiting H-1B sponsorship. The O-1A is an option for engineers with documented exceptional achievements, and some multinational employers use the L-1B for intracompany transfers with specialized security expertise.
Which cities in Oregon have the most cybersecurity engineer sponsorship jobs?
Portland and the surrounding metro area, including Beaverton and Hillsboro, account for the large majority of cybersecurity engineer positions with visa sponsorship in Oregon. Hillsboro specifically is significant because of Intel's substantial operations there. Eugene has a smaller but active tech community linked to the University of Oregon. Outside these areas, sponsored cybersecurity roles are uncommon, so candidates targeting Oregon should concentrate their search on the Portland metro corridor.
How to find cybersecurity engineer visa sponsorship jobs in Oregon?
Migrate Mate filters job listings specifically for roles where employers are open to visa sponsorship, making it easier to identify cybersecurity engineer positions in Oregon without sorting through postings that exclude international candidates. You can filter by state and role type to surface relevant openings in Portland, Hillsboro, and Beaverton. Migrate Mate also provides context on employer sponsorship history, which is particularly useful for evaluating Oregon-based tech and healthcare organizations hiring in cybersecurity.
Are there any Oregon-specific factors cybersecurity engineers should know when pursuing sponsored roles?
Oregon has a concentration of semiconductor and hardware companies, particularly in the Silicon Forest corridor around Hillsboro, where security roles often intersect with embedded systems and manufacturing IT, requiring niche technical backgrounds. Oregon Health & Science University and Legacy Health are notable healthcare sector employers with cybersecurity needs, though healthcare organizations sometimes have hiring timelines tied to grant cycles. Candidates should also be aware that some Oregon-based federal contractors and defense-adjacent firms require U.S. citizenship or active security clearances, which makes sponsorship unavailable for those specific positions.
What is the prevailing wage for sponsored cybersecurity engineer jobs in Oregon?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.