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Mid Level Neuromorphic Computing Jobs in Arizona

Arete Associates

Scientist

Tucson, AZ · On-site

$80K - $130K/yr

We are seeking a mid-level Software/Algorithm Developer with a strong background in Math, Physics, and/or Scientific Computing. The successful candidate will join a multidisciplinary team of signal ...

IES Communications

Asset Support Assistant

Tempe, AZ · On-site

$15.25 - $20.25/hr

Must demonstrate a mid-level proficiency in interpreting and accurately recording process ... Must be able to effectively operate office equipment and computing devices commonly used in the ...

Amazon

Sr Account Executive, Southwest SLG

Tempe, AZ · On-site

Would you like to own driving the revenue for a leader in cloud computing with state and local ... Your responsibilities will include developing and managing a growing customer base for our mid ...

Amazon

Sr Account Executive, Southwest SLG

Tempe, AZ · Remote

Would you like to own driving the revenue for a leader in cloud computing with state and local ... our mid-market accounts. You will deepen business and technical relationships and launch new ...

Amazon

Sr Account Executive, Southwest SLG

Tempe, AZ · Remote

Would you like to own driving the revenue for a leader in cloud computing with state and local ... our mid-market accounts. You will deepen business and technical relationships and launch new ...

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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 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 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 popular job titles related to Mid Level Neuromorphic Computing jobs in Arizona?

For Mid Level Neuromorphic Computing jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Mid Level Neuromorphic Computing jobs in Arizona look for?

The top searched job categories for Mid Level Neuromorphic Computing jobs in Arizona are:

What cities in Arizona are hiring for Mid Level Neuromorphic Computing jobs?

Cities in Arizona with the most Mid Level Neuromorphic Computing job openings:

Mid Level Neuromorphic Computing jobs near you
Infographic showing various Mid Level Neuromorphic Computing job openings in Arizona as of August 2026, with employment types broken down into 75% Full Time, 17% Part Time, 1% Temporary, and 7% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution.

Mid-Level Entra/Active Directory Engineer

Jobtailor

Phoenix, AZ • On-site

$120 - $180/hr

Other

Posted 3 days ago

New

Job description

Responsibilities
  • Validate existing cloud-based Entra ID to on-prem AD environment and configuration
  • Validate existing Entra ID to Okta Implementation, including Office365 and Sharepoint related configuration
  • Ensure compliance with Entra ID best practices for all aspects of TGen Entra ID / O365 environment, including directory services, Exchange configuration, SharePoint, and others
  • Evaluate existing implementation of, and recommend best practice refinements to, Unix authentication to AD, including distribution of globally unique POSIX UID and GID
  • Work with business partners to identify, define, and implement best-practice-based forest configuration with external business partners which use Entra ID, including possible cross-integrations with TGen Okta identity management platform
  • Manage daily operations of any cross-forest trusts, Entra ID and AD services
  • Monitor trust health, Kerberos ticket flows, LDAP queries, and authentication performance
  • Automate repetitive tasks using Ansible and other scripting languages where appropriate
  • Collaborate with HPC engineers to ensure consistent identity resolution and caching behavior across all HPC login and compute nodes
  • Support the standardization of the installation, configuration, and hardening of SSSD/IdM client configurations for reliable user and group resolution, RBAC rules, sudo policies, and automount on HPC nodes on Linux Rocky 9 and associated infrastructure
  • Monitor for and troubleshooting Kerberos, SSSD, cross-forest referral issues, as well as Azure connectivity problems
  • Work with external collaborators (Entra ID teams) on trust implementations, maintenance, selective authentication adjustments, and incident resolution
  • Ensure high availability and disaster recovery for IdM trust controllers and related components
  • Implement least-privilege principles, selective authentication, and auditing for cross-forest access
  • Participate in security reviews, audits, and compliance activities related to the identity infrastructure, including Entra ID-side controls
  • Work closely with external partners’ Entra ID and IAM teams for trust configuration, network connectivity, and ongoing coordination
  • Collaborate with TGen HPC system engineers managing storage/NFS configuration on PowerScale and VAST, as well as external partners accessing these HPC file systems on edge devices
  • Coordinate with TGen information security team as needed to establish Entra and AD configuration policies that meet TGen requirements
Requirements
  • Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience)
  • 5+ years of hands‑on experience in enterprise Identity and Access Management, with strong focus on hybrid Windows‑Linux and cloud/on‑premises environments
  • Deep expertise in Entra ID, On‑Prem AD (creating and managing forest/domain trusts, selective authentication, Kerberos, DNS integration, Entra Domain Services forest trusts)
  • Track record of clearly documenting architectures, procedures, and runbooks
  • Proven ability to own the end‑to‑end creation and delivery of the on‑premises trust and identity infrastructure while balancing operational support
  • Solid understanding of POSIX UID/GID management, SID‑to‑POSIX algorithmic mapping, and ensuring consistency for shared filesystem access
  • Proficiency with automation tools (Ansible, PowerShell, Azure CLI)
  • Knowledge of Microsoft Entra ID hybrid scenarios, including Entra Domain Services forest trusts
  • Relevant certifications: Microsoft Certified: Identity and Access Administrator Associate (or Entra ID equivalent), or Azure Network Engineer
  • Strong troubleshooting expertise using Microsoft Entra ID tools (Sign‑in Logs, Audit Logs, Provisioning Logs, and the Diagnose and Solve Problems blade), Kerberos commands (klist, nltest), packet analysis (Wireshark), Azure connectivity diagnostics (Azure Network Watcher), and Linux identity tools (sssctl, journalctl, SSSD debug logging)
  • Practical experience with Rocky Linux 9 / RHEL 9, preferably in cluster environments and large‑scale Linux deployments
  • Familiarity with or experience in HPC or scientific computing environments, particularly with identity challenges on login/compute nodes
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