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Mid Level Neuromorphic Computing Jobs in Frisco, TX

Atria Group LLC

BI Data Analyst

Addison, TX

We provide these services in multiple computing environments and use technologies such as client ... Nerium is looking for a Junior to mid level resource who is looking for an opportunity to grow.

LiquidStack

Thermal Engineer (R&D)

Carrollton, TX

LiquidStack is scaling its R&D organization to advance liquid cooling and high-performance thermal solutions for data center and computing environments. We are seeking a mid-level Thermal Engineer to ...

GTN Technical Staffing

Be Seen First

Senior Network Security Engineer

Dallas, TX · On-site

$57.75 - $75.75/hr

... computing (HPC) and cloud infrastructure, building and scaling mission-critical platforms that ... Mentor junior and mid-level engineers, providing guidance on troubleshooting and architecture ...

Atria Group LLC

Cognos Developer

Irving, TX · On-site

We provide these services in multiple computing environments and use technologies such as client ... mid level to expert SQL ETL a plus Dimensional Modelling experience a plus The developer will ...

Service Experts LLC

Sr. Data Analyst

Richardson, TX · On-site

$110 - $140/hr

Peer Mentoring: Provide guidance and technical mentorship to junior and mid-level analysts ... Strong experience with Databricks or similar distributed computing/cloud platform.* High ...

Service Experts

Sr. Data Analyst

Richardson, TX · On-site

$78K - $98K/yr

Peer Mentoring: Provide guidance and technical mentorship to junior and mid-level analysts ... Strong experience with Databricks or similar distributed computing/cloud platform. * High ...

Service Experts LLC

Lead Data Analyst

Richardson, TX · On-site

$120 - $160/hr

Peer Mentoring: Provide guidance and technical mentorship to junior and mid-level analysts ... Strong experience with Databricks or similar distributed computing/cloud platform.* High ...

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Mid Level Neuromorphic Computing information

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$10.3K

$81.1K

$105.8K

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

As of Aug 26, 2026, the average yearly pay for mid level neuromorphic computing in Frisco, TX is $81,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,200.00 and $100,600.00 per year, depending on experience, location, and employer.

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 Frisco, TX?

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

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The top searched job categories for Mid Level Neuromorphic Computing jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Mid Level Neuromorphic Computing jobs?

Cities near Frisco, TX with the most Mid Level Neuromorphic Computing job openings:

Mid Level Neuromorphic Computing jobs near you

HPC Software Engineer II

Richardson, TX • On-site

University of Texas at Dallas
Colleges, Universities, and Professional Schools • 1 - 5K employees

6.0

Company rating: 6.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

569th of 623 rated colleges and universities

Great coworkers

People enjoy working here

Recommended by students

Learn more about University of Texas at Dallasexternal

$85K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description

Posting Details
Posting Details
Posting Number
S06553P
Position Title
HPC Software Engineer II
Functional Title
High Performance Computing Software Engineer II
Department
High Performance Computing
Salary Range
$85,000 - $105,000 DOQ
Pay Basis
Monthly
Position Status
Regular full-time
Location
Richardson
Position End Date (if temporary)
Posting Open Date
08/08/2025
Posting Close Date
Open Until Filled
Yes
Desired Start Date
09/01/2025
Job Summary
Reporting to the Director High Performance Computing (HPC) Facilitation, this is a mid-level HPC systems software engineer position with a required background in HPC environments. To collaborate with and support our customers, this engineer must have demonstrated a consultative customer service attitudes in prior roles in similar organizations. Primary responsibilities include install and manage software to support researcher; lifecycle management of software including patching and versioning; tailor the installation and management according to researcher needs while leveraging HPC systems capabilities; train users in the use of software through workshops; prepare software documentation; troubleshoot user software issues; and help with planning of software use in HPC environments. The applicant must have broad industry knowledge of hardware and/or software services involved in building and operating HPC environments.
Minimum Education and Experience
High school diploma with eight (8) years recent applicable experience.
Associate Degree with six (6) years recent applicable experience.
Bachelor's Degree with four (4) years recent applicable experience.
Preferred Education and Experience
Preferred Qualifications:
  • Master's degree in Computer Science or equivalent with two years of experience in corresponding research services, support efforts, products and technologies.
  • Current knowledge of HPC best practice and systems deployment and maintenance.
  • Troubleshooting methodology and awareness of industry standards.
  • Excellent interpersonal, written, and verbal communication skills are a must.
  • Good technical documentation, architecture diagramming, and organizational skills.
  • Ability to manage support tickets and prioritize considering varied scope, scale, and technical requirements.
  • Familiarity with data center operations fundamentals in networking and power.
  • Experienced in Linux operating system for installing and managing software.
  • Ability to package scientific software into RPMs, containers (and integrate with Lmod-so users can `module load `).
  • Familiarity with Apptainer/Singularity HPC/Docker/Kuberneties.

Knowledge, Skills and Ability:
  • Familiarity with at least two high performance cluster operating systems such as OpenHPC, ROCKS, Bright/Nvidia Cluster Manager, Open OnDemand.
  • Familiarity with large scale high performance parallel file storage systems such as WEKA, VAST, GPFS, BGFS, CEPH.
  • Experience with installing and supporting: Open source and commercial research related software, Python, R, Matlab, Mathworks, Julia, Ansys, Intel, nVidia CUDA and GCC compilers.
  • Experience with all related dev ops tools such as GitHub, GitLab, Ansible, package management tools for rpm and or deb package building.
  • Experience with SLURM job scheduler.

Other Qualifications
To the extent this position requires the holder to research, work on, or have access to critical infrastructure as defined in Section 117.001(2) of the Texas Business and Commerce Code, the ability to maintain the security or integrity of the critical infrastructure is a minimum qualification to be hired and to continue to be employed in the position.
Essential Duties and Responsibilities
  • Be a software support engineer for University HPC cluster or services with support from core HPC team for complex scenarios.
  • Responds to user tickets from faculty and students. Level 2 support experience at scale of 1 to 3 with 3 being a senior specialist.
  • Act as a role model in demonstrating integrity and ethical behavior in working with confidential and university information.
  • Assists in development and implementation of internal policies, rules, and operation procedures for HPC and Cyber infrastructure to guarantee various assurance models such as NIST 800-53 and NIST 800-171 under which assured research is conducted.
  • Performs annual updates, expert level software coding (prefer Python, Linux Shell, etc.) in at least two or more languages.
  • Perform installation, configuration, updating, performance monitoring and troubleshooting of software on HPC systems, or project-level software support.
  • Assist users with optimizing their software use for the underlying system capabilities.
  • Assist customers with porting and optimizing code including selection and usage of appropriate development tools to match application requirements.
  • Ability to package scientific software into RPMs and integrate with Lmod-so users can `module load `.
  • Able to compile, test and install many related open-source scientific software packages as requested by research faculty, staff, and students.

Physical Demands and Working Conditions
  • On-call availability for quickly responding to and resolving system software emergencies, both during regular and emergency off-hours.
  • Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, power tools, and to handle other computer components. Lifting and transporting of moderately heavy objects, such as servers, switches, computers, and peripherals.

Physical Activities
Working Conditions
Additional Information
Remote Notice: After the probationary period, this role may be eligible for a hybrid (partly remote/partly in office) work schedule, subject to business need and manager approval. May be required to use personal computer and other standard office equipment. Must be located within the DFW Area and have the ability to be on campus with 24 hours of notice. A UT Dallas Remote Work Agreement will be required within 14 days after approval.
What We Can Offer
UT Dallas is an Equal Opportunity Employer with an employee-friendly and supportive work environment. Our comprehensive compensation and benefits package that is effective as of your hire date includes:
  • Competitive Salary
  • Tuition Benefits
  • Internal Training
  • BCBS PPO Medical insurance - 100% paid for full-time employees
  • PPO and DHMO Dental Insurance Plan - PPO plans include ortho benefits
  • Vision Insurance
  • Long and short-term disability
  • TRS Retirement Plan - defined benefit plan offering lifetime annuity upon retirement
  • Voluntary Retirement Plan Options - additional savings opportunities with Tax-Sheltered Annuity Plans and Deferred Compensation Plans
  • Dental/Vision/AD&D
  • Paid time off
  • Paid Holidays
  • Paid Winter Break
  • Fertility Benefits
  • Remote Work Options - approved by department

All UT Dallas employees have access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program.
Visit https://hr.utdallas.edu/employees/benefits/ for more information.
If you are looking for a rewarding career opportunity with great benefits? Look no further! Join our team!
Special Instructions Summary
Important Message
1) All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with members of the UT Dallas community and the general public.
2) The University of Texas at Dallas is committed to providing an educational, living, and working environment that is welcoming, respectful, and inclusive of all members of the university community. UT Dallas does not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, national origin, disability, genetic information, or veteran status in its services, programs, activities, employment, and education, including in admission and enrollment. The University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities. To request reasonable accommodation in the employment application and interview process, contact the ADA Coordinator. For inquiries regarding nondiscrimination policies, contact the Title IX Coordinator.

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