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Mid Level Neuromorphic Computing Jobs in Summit, NJ

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Python Developer

Rutherford, NJ · On-site

$51.25 - $70.50/hr

Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary ... Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL). * Background ...

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Mid Level Neuromorphic Computing information

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$11.7K

$92.1K

$120.1K

How much do mid level neuromorphic computing jobs pay per year?

As of Jun 28, 2026, the average yearly pay for mid level neuromorphic computing in Summit, NJ is $92,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,800.00 and $114,200.00 per year, depending on experience, location, and employer.

What are mid level neuromorphic computing professionals?

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, and why are they important?

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 cities near Summit, NJ are hiring for Mid Level Neuromorphic Computing jobs? Cities near Summit, NJ with the most Mid Level Neuromorphic Computing job openings:
Mid Level Neuromorphic Computing jobs near you
System Administrator - Endpoint & Client Technologies

System Administrator - Endpoint & Client Technologies

Related

Manhattan, NY • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Related Companies rating

7.1

Company rating: 7.1 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

90th of 154 rated real estate companies

Job description

Responsibilities
We are seeking a mid-level System Administrator to own the management, security, and reliability of our end-user computing environment, with a primary focus on Microsoft Intune and modern client technologies. This is a hands-on role responsible for the full device lifecycle - provisioning, configuration, patching, application delivery, and compliance - across a Microsoft-centric estate. The ideal candidate pairs deep endpoint management expertise with solid working knowledge of the underlying infrastructure (identity, networking, servers, and cloud) so they can troubleshoot end to end and partner effectively with infrastructure, security, and service desk teams.
Key Responsibilities:
Endpoint & Client Management
  • Microsoft Intune administration - manage device enrollment, configuration profiles, compliance policies, and Conditional Access integration across Windows, iOS, and macOS.
  • Modern provisioning - build and maintain Windows Autopilot deployment, zero-touch provisioning, and standardized device baselines.
  • Application packaging & delivery - package, deploy, and update applications via Intune (Win32, MSI, Microsoft Store), and manage app protection policies.
  • Patch & update management - operate Windows Update for Business / Autopatch rings, monitor compliance, and remediate failures.
  • Endpoint security posture - configure and maintain Microsoft Defender for Endpoint, BitLocker, attack-surface-reduction, and security baselines in partnership with the security team.

Infrastructure & Identity
  • Identity & access - administer Microsoft Entra ID (Azure AD) - users, groups, dynamic groups, device identity, and hybrid join; support SSO and MFA.
  • Microsoft 365 - support and administer M365 services (Exchange Online, Teams, SharePoint/OneDrive) as they relate to the client experience.
  • Infrastructure support - apply working knowledge of Active Directory, Group Policy, DNS/DHCP, Windows Server, networking fundamentals, and Azure to troubleshoot issues end to end.
  • Automation - use PowerShell (and Graph API where applicable) to automate routine administration, reporting, and remediation.

AI Desktop Clients & Enterprise Enablement
  • Enterprise AI client administration - deploy, configure, and manage AI desktop clients such as Claude (Cowork), ChatGPT Desktop, and Google Gemini at an enterprise level, including packaged deployment through Intune.
  • Configuration & governance - configure enterprise tenant settings, authentication (SSO/SCIM), data controls, and admin policies to align with company security and AI governance standards.
  • Extending the platforms - set up and support tools, plugins, skills, connectors/MCPs, and projects/workspaces that extend AI client capabilities for business teams.
  • Enablement & support - act as a technical resource for safe, productive adoption of AI desktop tools, troubleshoot client issues, and document standard configurations and guardrails.

Operations & Support
  • Escalation support - act as Tier 2/3 escalation for endpoint and client technology issues from the service desk.
  • Documentation & standards - maintain runbooks, configuration standards, and knowledge-base articles; contribute to a well-governed, standardized environment.
  • Reliability & monitoring - monitor device health, compliance, and reporting; proactively identify and resolve recurring problems.
  • Cross-team collaboration - partner with infrastructure, cybersecurity, and enterprise applications teams on projects and rollouts.

Compensation:
The anticipated base salary range for this position is listed below. In addition to a competitive base salary, you will be eligible to receive discretionary bonus incentives and a comprehensive benefits package.
Anticipated base salary range: $130,000 - $150,000 / year
Actual base salary within the anticipated range will be determined by several components including, but not limited to, the individual's experience, skills, qualifications, and market factors.
Qualifications
Required Qualifications:
  • 8+ years of experience in system administration, endpoint management, or desktop engineering.
  • Demonstrated hands-on experience administering Microsoft Intune / Endpoint Manager in a production environment.
  • Strong experience with Windows 10/11 client management, Windows Autopilot, and application packaging/deployment.
  • Working knowledge of Microsoft Entra ID (Azure AD), Conditional Access, and Microsoft 365 administration.
  • Solid foundation in infrastructure technologies: Active Directory, Group Policy, DNS/DHCP, Windows Server, and core networking concepts.
  • Proficiency with PowerShell scripting for automation and reporting.
  • Experience with endpoint security tooling (e.g., Microsoft Defender for Endpoint, BitLocker).
  • Strong troubleshooting skills and the ability to work independently in a fast-paced environment.
  • Familiarity with AI desktop clients - such as Claude (Cowork), ChatGPT Desktop, and Google Gemini - including enterprise-level configuration, deployment, and management of tools, plugins, skills, connectors, and projects/workspaces.
  • Excellent communication skills and a service-oriented mindset.

Preferred Qualifications:
  • Relevant Microsoft certifications (e.g., MD-102 Endpoint Administrator, MS-102, AZ-104, or SC-300).
  • Experience managing macOS and/or iOS devices through Intune.
  • Familiarity with Azure infrastructure (virtual machines, networking, storage).
  • Experience with the Microsoft Graph API and modern reporting/dashboarding.
  • Exposure to enterprise real estate, property management, or corporate environments at scale.
  • Bachelor's degree in Information Technology, Computer Science, or a related field, or equivalent practical experience.

Schedule:
Rotating hybrid schedule (Week 1 [3 days onsite - 2 days remote] / Week 2 [2 days onsite - 3 days remote] / & vice versa) :
Week 1 - Tues / Thurs
Week 2 - Tues / Thurs / Fri
Week 3 - Tues / Thurs
Week 4 - Tues / Thurs / Fri
Benefits:
  • Personalized Health Care: Multiple medical, dental, and vision plan options; Employee Assistance Program
  • Financial Benefits: Competitive salary and incentive packages; matching 401(k); FSAs and HSA; employer-paid life and AD&D insurance; paid leave & disability programs
  • Social Wellness: 19+ days of PTO; mental health counseling & resources; fertility, surrogacy, and adoption assistance; volunteer days and donation matching
  • Career Development: Learning & training programs; tuition & certification reimbursement; internal advancement opportunities

Overview
Formed in 1972, Related is the most prominent privately owned real estate firm in the United States. Headquartered in New York City, the company has offices and major developments across the world. Related owns and manages a premier portfolio of assets valued at over $70 billion, including the 28-acre Hudson Yards neighborhood on Manhattan's West Side.
Related believes in investing in its talent and cultivates a positive, team-oriented environment where every voice is valued. Employees are encouraged to boldly take on new challenges, transcend the status quo, and demonstrate strong entrepreneurial spirit. In its relentless commitment to excellence, Related works to foster an innovative approach in its team members so that they can positively impact the communities in which they conduct business. Learn more about Related at www.related.com.
We are proud to be an equal opportunity employer and are deliberate about the team and culture we are building. We aim to ensure competitive total compensation that is commensurate with experience, workplace geography, and market standards.
For information about how we use your personal information, including information submitted for career opportunities, please review our Privacy Policy at https://www.related.com/privacy-policy.

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