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Mid Level Neuromorphic Computing Jobs in Nevada (NOW HIRING)

Production Operator

Reno, NV

$16.75 - $20.25/hr

... highest level of performance of every precision fluid measuring device we manufacture ... Drug free workplace Mid SalaryEmployment Type: OTHER

Production Operator

Reno, NV · On-site

$16.75 - $20.25/hr

... highest level of performance of every precision fluid measuring device we manufacture ... Drug free workplace Mid SalaryEmployment Type: OTHER

Assembly Tech Lead

Reno, NV · On-site

$43K - $56K/yr

... highest level of performance of every precision fluid measuring device we manufacture ... Drug free workplace Mid SalaryEmployment Type: OTHER

... highest level of performance of every precision fluid measuring device we manufacture ... Experience with cloud computing platforms (e.g., Entra, Azure). * Knowledge of database ...

Mid Level Neuromorphic Computing information

What is a mid level neuromorphic computing professional?

Mid level neuromorphic computing professionals are specialists with several years of experience who design, develop, and optimize hardware and software systems inspired by the structure and function of the human brain. They typically work on building and programming neuromorphic chips, developing algorithms that mimic neural processes, and integrating these systems into real-world applications such as robotics or edge computing. Their expertise bridges neuroscience, computer engineering, and artificial intelligence, and they often collaborate with interdisciplinary teams to advance brain-inspired computing technologies.

What are some common challenges faced by professionals in mid level neuromorphic computing roles, and how can they be addressed?

Professionals in mid-level neuromorphic computing roles often encounter challenges such as integrating novel hardware with existing software systems, managing the complexity of neural-inspired algorithms, and keeping pace with rapid advancements in the field. Collaborating closely with multidisciplinary teams—including hardware engineers, data scientists, and neuroscientists—can help address these challenges. Additionally, staying updated on the latest research and industry trends, as well as participating in collaborative projects, can enhance problem-solving skills and foster innovation in this evolving area.

What is the difference between Mid Level Neuromorphic Computing vs Mid Level Machine Learning Engineer?

AspectMid Level Neuromorphic ComputingMid Level Machine Learning Engineer
Required CredentialsBachelor's in Computer Science, Electrical Engineering, or related field; knowledge of neuromorphic hardwareBachelor's in Computer Science, Data Science, or related; experience with ML frameworks
Work EnvironmentResearch labs, hardware development, AI hardware companiesTech companies, startups, data-driven organizations
Industry UsageAI hardware, neuromorphic chip design, cognitive computingSoftware development, AI applications, data analysis

Mid Level Neuromorphic Computing professionals focus on hardware and cognitive architectures inspired by the brain, often working with specialized hardware and research teams. In contrast, Mid Level Machine Learning Engineers develop algorithms and models primarily in software to solve data-driven problems. Both roles require a strong technical background but differ in their focus on hardware versus software applications.

What are the key skills and qualifications needed to thrive as a mid level neuromorphic computing engineer?

To thrive as a Mid Level Neuromorphic Computing Engineer, you need a solid background in computer engineering, neuroscience, and machine learning, usually supported by a relevant degree and experience with neural network architectures. Familiarity with tools like Python, MATLAB, TensorFlow, and simulation platforms such as NEST or SpiNNaker, along with knowledge of specialized hardware, is typically required. Strong problem-solving, collaboration, and communication skills help you innovate and effectively share complex ideas with multidisciplinary teams. These skills and qualifications are crucial for developing advanced neuromorphic systems that bridge neuroscience and AI, pushing the boundaries of efficient computing.
What are popular job titles related to Mid Level Neuromorphic Computing jobs in Nevada? For Mid Level Neuromorphic Computing jobs in Nevada, the most frequently searched job titles are:
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Infographic showing various Mid Level Neuromorphic Computing job openings in Nevada as of July 2026, with employment types broken down into 71% Full Time, 19% Part Time, 1% Temporary, and 9% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

SVP III, Chief Information Security Officer

Credit One Bank

Las Vegas, NV • On-site

Full-time

Re-posted 4 days ago


Job description

Job Summary:
Credit One Bank is a data-driven financial services company based in Las Vegas, and they are seeking a Chief Information Security Officer to ensure the security of millions of card members. The CISO will be responsible for the Bank’s Information Security Management Program, including Governance, Risk Management, Threat Intelligence, and Assurance, while collaborating with various business leaders and managing the security team.
Responsibilities:
• Design/improve security practices for existing and new technology capabilities to manage security vulnerabilities, including legacy banking systems, third-party applications, as well as newer architectures (cloud, etc.)
• Overall accountability to develop, implement, and maintain the information and cyber security management program, including security policy, standards, guidelines, and procedures.
• Periodically update the cyber security strategy to incorporate new technology and manage new & emerging threat information
• Manage the information security budget, including roadmap and delivery of security initiatives
• Stay current on technological change to understand the evolving security threat landscape, and ways to manage risks
• Ensure information security compliance with the changing laws and applicable regulations in Banking and Financial Services, including (but not limited to) the Gramm-Leach-Bliley Act Cybersecurity requirements
• Oversee periodic Federal examination, security audits, internal threat hunting, internal & third-party penetration tests, simulations, control testing, and other assurance activities to validate controls.
• Collaborate with adjacent colleagues in Business Continuity Planning, Enterprise Risk Management, Audit, and Physical Security.
• Oversee incident response planning, as well as the investigation of security incidents, including impact analysis, root cause analysis, and recommendations for remediation and control enrichment
• Present regular executive-level reporting on the status and progress of the Information Security Management Program. Create awareness of new & emerging risks and the company’s preparedness
• Hire, manage, and train security team, employees, contractors, and third parties
• Create or curate information security awareness training and communicate best practices and risks to all parts of the business
• Perform other duties as assigned
Qualifications:
Required:
• Bachelor’s Degree in Information Security, Cybersecurity, Computer Science, Computer Engineering, or MIS.
• 10+ years of experience leading teams in information security in a regulated industry, preferably at a high-volume Banking or Financial Services institution, or healthcare.
• 10+ years of experience with information security architecture and enterprise technology such as: Firewalls, SIEM, DLP, VPN, DMZ, MFA, WAF, Intrusion Detection/Prevention, Encryption, Anti-virus, Anti-Malware, SOC operations, forensics, identity management, etc.
• Demonstrated experience in AI governance, AI security, and AI programs within a regulated environment.
• Working knowledge (experienced preferred) of AI/ML and Generative AI security risks and the technical and procedural controls used to manage them.
• CISSP, CISM, or similar professional certification.
• Collaborative and action-oriented management style (big plus is the ability to be hands-on).
• Excellent written and verbal communication skills and high level of personal integrity.
• Innovative thinking and leadership with an ability to find safe and secure solutions for business needs.
• Experience with contract and vendor negotiations and management including managed services.
• Experience in modern software development practices, such as Agile, Waterfall, Rapid, etc.
• Experience with legacy banking systems as well as cloud / elastic computing across virtualized environments, hybrid/multi-cloud infrastructures, and externally managed services.
• Experience implementing security solutions in enterprise, cloud, and hybrid cloud environments.
• Experience with Federal financial institution examination procedures including examination preparation and presentation.
• Excellent understanding of Federal Financial Institutions Examination Council (FFIEC) procedures including information technology and information security guidance.
• Excellent understanding of the Office of the Comptroller of the Currency (OCC) mid-sized bank regulatory guidance (as pertains to information security).
• Excellent understanding of information security standards including ISO 17799/27001/27002, NIST Cybersecurity Framework, the Center for Internet Security, CISA Cross Sector Cybersecurity Performance Goals, Cloud Security Alliance, the Payment Card Industry’s Data Security Standard (PCI-DSS), NIST standards on security and privacy controls, encryption, authentication, cloud computing, NIST frameworks for risk management, including the AI risk management framework.
Preferred:
• Master’s Degree preferred.
Company:
Credit One Bank is a financial services company that offers credit cards, credit score tracking, and fraud protection services. Founded in 1984, the company is headquartered in Las Vegas, USA, with a team of 1001-5000 employees. The company is currently Late Stage.