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Mid Level Neuromorphic Computing Jobs in Colorado

Cloudera

Contracts Manager

Denver, CO · Remote

$91K - $122K/yr

Mid-Senior level At Cloudera, we empower people to transform complex data into clear and actionable ... cloud computing, software development, and revenue recognition. * Expertise in artificial ...

Crusoe

Senior Mechanical Engineer

Arvada, CO · On-site

$106K - $140K/yr

At the senior/staff level, you are expected to own the tooling roadmap end-to-end: setting ... This is a full-time position critical to our ability to scale high-performance computing ...

Lockheed Martin

This is an MID-SR CAREER (level 4) ROLE where candidates typically require 5+ years of professional ... computing technology • Previous Command and Control experience • Experience working across ...

Lockheed Martin

Systems Engineer-IT

Boulder, CO · On-site

... computing resources. This is an EARLY-MID CAREER (level 3) ROLE where candidates typically require 3+ years of professional experience and a BS degree. If you think this describes you and you are ...

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All JobsMid Level Neuromorphic Computing JobsMid Level Neuromorphic Computing Jobs in Colorado

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.
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What cities in Colorado are hiring for Mid Level Neuromorphic Computing jobs? Cities in Colorado 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 Colorado as of June 2026, with employment types broken down into 62% Full Time, 17% Part Time, and 21% Contract. Highlights an 100% In-person job distribution.
Java Full Stack Engineer

Java Full Stack Engineer

Cohere Technology Group LLC

Colorado Springs, CO • On-site

Full-time

Posted 15 days ago

Job description

Java Full Stack Engineer:
Colorado Springs, CO. 
Job Description:
Cohere is looking for a self-starting, team-oriented Mid-to-Senior Software Engineer to join our dynamic development team in supporting a Government customer. The team is researching and designing prototypes for large-scale distributed enterprise micro-service applications using web technologies, distributed computation and storage frameworks, and sophisticated, cutting-edge domain analytics, with the system hosted on virtualized and cloud-computing platforms. The successful candidate will have the ability to work both independently with little supervision as well as engage with a team to achieve overall project objectives.
Essential Functions:
The Java Full Stack Engineer participates in a development team using Agile methodologies combined with mature software practices and technology-supported development infrastructure. The Java Full Stack Engineer will execute full lifecycle agile workflow including daily SCRUMs, story grooming and bidding, and sprint execution. The Java Full Stack Engineer will research, design, develop, and extend the software baseline to implement new capabilities and to mature existing capabilities using key enabling technologies and frameworks. The Java Full Stack Engineer will help maintain the deployed system, diagnose and resolve issues, and provide support to end-users as needed. The Java Full Stack Engineer will provide technical and methodological guidance to the team, while helping steer the team to be self-reliant and highly effective at meeting project objectives.
The ideal candidate will have outstanding technical talent; have the desire to continuously learn and apply new skills and technologies; and be eager to take on hard problems and develop successful solutions to achieve the overall mission.
  • Backend:
    • Spring and/or Spring Boot frameworks; web endpoint controllers, Kafka listeners, JPA framework, Testcontainers
    • Microservice architecture, message passing state sharing
    • Database – PostgreSQL or any SQL (Experience with PostgreSQL or similar Relational Database Management System (RDBMS)
  • Web app server
    • Familiar (Experience preferred) with open-source web application server such as Apache HTTP, Tomcat
  • Middle tier – messaging systems
    • Experience using the following:
      • Kafka – or any Java-based message broker – including managing topics, filtering with headers, supporting broad distributed services
    • Experience in development and usage with RESTful web services including asynchronous futures
  • Frontend:
    • Experience with development using Vue.js front-end web application platform or similar web framework
Qualifications:
  • B.S. degree Computer Science, Systems Engineering, Information Systems, Computer Engineering, or a related discipline and 9+ years of experience or M.S. degree and 7 years of experience.
  • 4 years’ experience Java development with Spring and/or Spring Boot framework establishing services for each tier (backend, frontend, web, and middle).
  • 3 Years' experience with Vue.js front-end web application platform and UI components or similar web framework.
  • 3 years’ experience with middle tier messaging systems, Kafka or similar and development and usage with RESTful web services
  • 3 plus years' experience with Java development with Relational Database Management.
Preferred Qualifications:
Experience in modeling and simulation, designing and developing secure Cloud-Agnostic applications using Vue.js, Quasar, Spring Boot, AWS Lambda, and microservice architectures.
Compensation range: $150,000.00 to $250,000.00,depending on experience level. 

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