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Mid Level Neuromorphic Computing Jobs in Maryland

... computing frameworks such as Apache Spark or Hadoop. • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. • Familiarity with containerization technologies such as ...

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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 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.
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What cities in Maryland are hiring for Mid Level Neuromorphic Computing jobs? Cities in Maryland with the most Mid Level Neuromorphic Computing job openings:
Infographic showing various Mid Level Neuromorphic Computing job openings in Maryland as of July 2026, with employment types broken down into 2% Locum Tenens, 77% Full Time, 19% Part Time, and 2% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution.

Full Stack Engineer (mid-level)

T Rowe Price

Owings Mills, MD • Hybrid

Other

Re-posted 4 days ago


T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Role Summary

At T. Rowe Price, we invest in the future of our technology. We are looking for a mid-level Full Stack Engineer who has a passion, vision and technical acumen to help drive strategic initiatives and meet the needs of the USI Secure Digital Experience business. We are transforming client experiences through cloud computing, lightweight Java microservices, single-page application front ends (Angular), and highly resilient software services.

Responsibilities

We are seeking an experienced mid-level Full Stack Engineer with 2+ years of java experience including microservice development and familiarity working with cloud-based applications. You will also:

  • Participate in significant areas of development within the development lifecycle
  • Develops technical solutions following standard methodologies with some guidance from senior engineers
  • Participate in decisions regarding tactical vs. strategic trade-offs
  • Assist and mentor more junior engineers

Business Knowledge:

  • Experience working directly with business partners
  • Knowledge of client reporting or financial data systems

Qualifications
Required:

  • 2+ years of progressive Java development experience including microservice development
  • 2+ years of progressive front end development using frameworks like Angular
  • Significant expertise designing, developing, deploying, and supporting java backend solutions
  • Significant experience in AWS cloud technologies and PostgreSQL
  • Able to work with existing data models and schemas and suggest changes and improvements
  • Provides a clear and concise explanation of business strategy, technical concepts, designs or implementation to a non-technical audience
  • Able to quickly learn new technologies and stay abreast of industry trends
  • Able to work relatively independently


Preferred:

  • Understanding of financial markets and instruments is a plus

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to three days per week from home.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status).


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