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Mid Level Neuromorphic Computing Jobs in Virginia

Dark Wolf Solutions

Google Cloud Engineer

Herndon, VA · Remote

$57.25 - $76.50/hr

Mid Level Required Qualifications: * Bachelor's degree in computer science or a related field * 3+ years of experience in cloud computing * 1+ years of experience with GCP * 1+ years of experience ...

ActioNet

Desktop Technician

Arlington, VA

$23.25 - $29.50/hr

Desktop Technician - Mid Level The Desktop Technician provides technical support for end-user computing devices, including desktops, laptops, and peripherals. This role is responsible for ...

ActioNet

Desktop Technician

Rosslyn, VA

$118K/yr

Desktop Technician - Mid Level The Desktop Technician provides technical support for end-user computing devices, including desktops, laptops, and peripherals. This role is responsible for ...

ActioNet, Inc.

Desktop Technician

Rosslyn, VA

$118K/yr

Desktop Technician - Mid Level The Desktop Technician provides technical support for end-user computing devices, including desktops, laptops, and peripherals. This role is responsible for ...

ActioNet

Desktop Technician

Rosslyn, VA

$23.25 - $29.50/hr

Desktop Technician - Mid Level The Desktop Technician provides technical support for end-user computing devices, including desktops, laptops, and peripherals. This role is responsible for ...

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Mid Level Neuromorphic Computing information

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 are the most commonly searched types of Neuromorphic Computing jobs in Virginia? The most popular types of Neuromorphic Computing jobs in Virginia are:
What are popular job titles related to Mid Level Neuromorphic Computing jobs in Virginia? For Mid Level Neuromorphic Computing jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Mid Level Neuromorphic Computing jobs in Virginia look for? The top searched job categories for Mid Level Neuromorphic Computing jobs in Virginia are:
What cities in Virginia are hiring for Mid Level Neuromorphic Computing jobs? Cities in Virginia with the most Mid Level Neuromorphic Computing job openings:
Mid Level Neuromorphic Computing jobs near you
Google Cloud Engineer

Google Cloud Engineer

Dark Wolf Solutions

Herndon, VA • Remote

$57.25 - $76.50/hr

Full-time, Contractor

Posted 13 days ago

Job description

Dark Wolf is looking for Google Cloud Engineers are responsible for designing, implementing, and managing Google Cloud Platform (GCP) solutions for our customers. The ideal candidate will have a deep understanding of GCP services and technologies, as well as experience in designing and implementing scalable, reliable, and secure cloud solutions.

Responsibilities:

  • Driving and implementing technology solutions on Google Cloud.
  • Working with customers, partners, and internal project team members to understand customer business requirements and translate into actionable engineering tasks.
  • Developing and maintaining infrastructure as code (IaC) using tools such as Terraform.
  • Configuring and managing GCP services such as Compute Engine, App Engine, Google Kubernetes Engine, Cloud Storage, and Cloud SQL.
  • Architecting and implementing security best practices for GCP solutions using products such as Assured Workloads, Cloud Logging, Cloud Monitoring, and Security Command Center.
  • Staying up-to-date on the latest GCP services and technologies and their applicability to the Public Sector space.

Mid Level Required Qualifications:

  • Bachelor's degree in computer science or a related field
  • 3+ years of experience in cloud computing
  • 1+ years of experience with GCP
  • 1+ years of experience with one or more programming languages (e.g. Python)
  • Strong understanding of Google Cloud services and technologies
  • Experience leading technical teams including delegating tasks, reviewing designs and completed tasks by team members, and coaching junior team members
  • Experience designing and implementing scalable, reliable, and secure cloud solutions
  • Experience developing technical architecture documents, driving design decisions, developing documentation artifacts, and presenting technical solutions to clients and executive level leaders
  • Experience with infrastructure automation using IaC tools such as Terraform
  • Strong understanding of DevOps practices and experience implementing CI/CD in cloud environments
  • Excellent communication and teamwork skills
  • Ability to work collaboratively with the broader team as well as independently
  • US Citizenship and active Secret clearance

Mid Level Preferred Qualifications:

  • At least one Google Cloud Professional Certification
  • Experience working within Agile teams
  • Experience working with Google Cloud compliance products such as Security Command Center and Assured Workloads
  • Experience working with customers in the U.S. Public Sector
  • Experience with DoD/DISA cybersecurity policies

Senior Level Qualifications:

  • Bachelor's degree in computer science or a related field
  • 8+ years of experience in cloud computing
  • 3+ years of experience with GCP
  • 5+ years of experience with one or more programming languages (e.g. Python)
  • Strong understanding of Google Cloud services and technologies
  • Experience leading technical teams including delegating tasks, reviewing designs and completed tasks by team members, and coaching junior team members
  • Experience designing and implementing scalable, reliable, and secure cloud solutions
  • Experience developing technical architecture documents, driving design decisions, developing documentation artifacts, and presenting technical solutions to clients and executive level leaders
  • Experience with infrastructure automation using IaC tools such as Terraform
  • Strong understanding of DevOps practices and experience implementing CI/CD in cloud environments
  • Excellent communication and teamwork skills
  • Ability to work collaboratively with the broader team as well as independently
  • At least one Google Cloud Professional Certification
  • US Citizenship and active Secret clearance

Senior Level Preferred Qualifications:

  • Experience working within Agile teams
  • Experience working with Google Cloud compliance products such as Security Command Center and Assured Workloads
  • Experience working with customers in the U.S. Public Sector
  • Experience with DoD/DISA cybersecurity policies

This position will be hybrid / remote based out of a Dark Wolf Hub: Herndon VA, Tampa FL, Colorado Springs CO, Ogden UT, or Omaha NE.

The salary range for this position is estimated to be the following, commensurate on experience and technical skillset.

  • Mid Level: $120,000.00 - $160,000.00
  • Senior Level: $160,000.00 - $190,000.00

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.