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Executive Emulation Engineer Jobs in Colorado (NOW HIRING)

Transamerica

Senior Penetration Testing (Red Team

Denver, CO · On-site

$102K - $132K/yr

The Red Team conducts advanced adversary emulation operations to challenge assumptions and emulate ... Email, phone, or physical social-engineering assessments * Developing, extending, or modifying ...

All JobsEmulation Engineer JobsExecutive Emulation Engineer JobsExecutive Emulation Engineer Jobs in Colorado

Executive Emulation Engineer information

What is the difference between Executive Emulation Engineer vs System Simulation Engineer?

AspectExecutive Emulation EngineerSystem Simulation Engineer
CredentialsBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields; experience with hardware/software emulation toolsBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields; familiarity with simulation software
Work EnvironmentDesign labs, hardware testing facilities, emulation hardware setupsDesign labs, software simulation environments, virtual testing platforms
Industry UsageSemiconductor, hardware development, embedded systemsEmbedded systems, hardware/software integration, system design
Common Search/ComparisonYesYes

Executive Emulation Engineers focus on hardware-based emulation to validate and test complex integrated circuits, while System Simulation Engineers primarily use software models to simulate system behavior. Both roles require similar educational backgrounds and work in related environments, but their tools and specific focus areas differ.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, and systems engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries like technology or finance. Executive-level engineering roles or those with leadership responsibilities may also reach or exceed this salary level.

What engineer makes $500,000 a year?

An executive emulation engineer or senior-level specialized engineer in fields like artificial intelligence, machine learning, or software architecture can earn $500,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Such roles often require advanced certifications, leadership responsibilities, and a strong track record of innovation or technical expertise.

What is an Executive Emulation Engineer?

An Executive Emulation Engineer is a specialized professional who designs, develops, and manages hardware or software systems that emulate the behavior of executive-level hardware components, such as CPUs or SoCs, within larger electronic systems. These engineers work to create models or platforms that mimic the functionality of complex integrated circuits, enabling faster testing and validation of new designs before physical prototypes are built. Their work is critical in the semiconductor and electronics industries, helping to reduce development time and costs while ensuring product reliability. They often collaborate closely with hardware design, verification, and software development teams.

Is EEe a high paying job?

An Executive Emulation Engineer typically earns a competitive salary that reflects specialized skills in system modeling, simulation, and hardware/software integration. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying engineering role. Advanced certifications and expertise in tools like MATLAB or Simulink can also influence salary levels.

What are some common challenges faced by Executive Emulation Engineers when collaborating with cross-functional hardware and software teams?

Executive Emulation Engineers often work closely with both hardware and software teams to ensure efficient system integration and accurate emulation of designs. A common challenge is bridging the communication gap between these groups, as hardware and software teams may have different terminologies, workflows, and priorities. Additionally, resolving discrepancies between emulated and real hardware behavior can require in-depth debugging and coordination. Successful Executive Emulation Engineers excel at translating requirements, facilitating clear communication, and proactively addressing integration issues to keep projects on track.

What are the key skills and qualifications needed to thrive as an Executive Emulation Engineer, and why are they important?

To thrive as an Executive Emulation Engineer, you need a strong background in computer engineering, digital logic design, and hardware verification, often supported by a degree in electrical engineering or computer science. Proficiency with hardware description languages (such as Verilog or VHDL), emulation platforms (like Cadence Palladium or Mentor Veloce), and verification tools is crucial. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with cross-functional teams and resolve complex technical issues. These skills are essential to accelerate hardware development cycles, ensure accurate system validation, and deliver reliable products to market.
What are the most commonly searched types of Emulation Engineer jobs in Colorado? The most popular types of Emulation Engineer jobs in Colorado are:
What are popular job titles related to Executive Emulation Engineer jobs in Colorado? For Executive Emulation Engineer jobs in Colorado, the most frequently searched job titles are:
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What cities in Colorado are hiring for Executive Emulation Engineer jobs? Cities in Colorado with the most Executive Emulation Engineer job openings:
Executive Emulation Engineer jobs near you

Artificial Intelligence Senior Security Engineer

Bank of America

Denver, CO • On-site

$117K - $161K/yr

Full-time

Posted 4 days ago

Job description

Job Summary:
Bank of America is committed to helping make financial lives better through the power of every connection. The Cyber Threat Defense AI Security Senior Engineer will drive the integration of advanced AI technologies into the cyber defense ecosystem, focusing on technical innovation and subject matter expertise in AI-driven cybersecurity initiatives.
Responsibilities:
• Partner with GIS operational and technical teams to identify opportunities for AI-driven enhancements to security controls and architecture.
• Drive the technical implementation of the design and deployment of AI-powered tools for threat hunting, anomaly detection, and automated incident response.
• Oversee the development and operationalization of custom ML/LLM models tailored to cybersecurity use cases.
• Guide architectural transformations to support scalable AI integration across the enterprise.
• Act as a technical expert on AI-driven cybersecurity initiatives, mentoring junior engineers and analysts.
• Prototype and evaluate emerging AI technologies for applicability in cyber threat detection and response.
• Serve as a thought leader and subject matter expert on AI in cybersecurity, advising senior leadership and influencing enterprise-wide strategy.
• Ensure responsible and ethical use of AI in security operations, including model governance, bias mitigation, and explainability.
• Collaborate with offensive security teams to develop AI-enhanced red teaming and adversarial emulation capabilities.
• Drive innovation in proactive defense mechanisms using predictive analytics and autonomous threat response.
Qualifications:
Required:
• 7+ years of hands on experience in cybersecurity, preferably Offensive Security or Cyber Threat Operations
• Hands-on experience building agentic AI systems, LLMs, and custom ML model development.
• Experience with enterprise cloud AI development platforms such as Azure AI Foundry, AWS Bedrock, or GCP Vertex
• Strong understanding of offensive security tactics and how AI can enhance red teaming, attack path mapping, and threat modeling.
• Experience leading large-scale technical projects involving security data pipelines, model deployment, and automation.
• Deep knowledge of cyber threat actor behaviors, attack vectors, and defensive countermeasures.
• Ability to translate complex technical concepts into actionable strategies for senior executives.
• Familiarity with AI governance, model risk management, and regulatory considerations in financial services.
• Experience with modern data platforms, cloud-native architectures, and MLOps frameworks.
• Demonstrated ability to drive consensus across diverse stakeholders and influence enterprise-wide initiatives.
• Strong communication and presentation skills, especially in executive and cross-functional settings.
Preferred:
• Experience with AI-enhanced SOAR (Security Orchestration, Automation, and Response) platforms.
• Familiarity with adversarial machine learning and AI security risks.
• Background in data engineering, feature engineering, and model lifecycle management.
• Experience with open-source AI frameworks (e.g., PyTorch, TensorFlow, LangChain).
• Prior work in regulated industries with a focus on compliance and risk mitigation.
Company:
Bank of America is a financial institution that offers credit cards, home loans, and auto loan services. Founded in 1998, the company is headquartered in Charlotte, USA, with a team of 10001+ employees. The company is currently Late Stage.

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