ZipRecruiter

Log In

1

Mid Level Neuromorphic Computing Jobs in Richardson, TX

Tech Mahindra

Support Engineer

Dallas, TX · On-site

The Enterprise IT Support Engineer (Onsite - Mid-Level) provides hands-on technical support for end-user computing services across assigned locations. The role focuses on incident resolution, service ...

Redolent, Inc.

Sr. Node JS Engineer

Dallas, TX · On-site

$47.25 - $61.25/hr

Strong knowledge of building highly scalable systems using cloud and edge computing. Mid-level proficiency in CI/CD, GITOPS, GIT, and Jenkins. Expert-level problem-solving skills with the ability to ...

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.

NorthMark Strategies

Network Security Engineer

Dallas, TX · On-site

$103K - $141K/yr

... computing and cloud infrastructure. They are seeking a Senior Network Security Engineer to manage ... Responsibilities : • Mentoring junior and mid-level engineers, overseeing team activities and ...

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 ...

New

next page

Showing results 1-20

All JobsMid Level Neuromorphic Computing JobsMid Level Neuromorphic Computing Jobs in Richardson, TX

Mid Level Neuromorphic Computing information

See Richardson, TX salary details

$10K

$78.7K

$102.6K

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

As of Aug 23, 2026, the average yearly pay for mid level neuromorphic computing in Richardson, TX is $78,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $97,600.00 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 Richardson, TX?

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

What job categories do people searching Mid Level Neuromorphic Computing jobs in Richardson, TX look for?

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

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

Cities near Richardson, TX 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 Richardson, TX as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $78,704 per year, or $37.8 per hour.

Chief Scientist - Fort Worth, Texas

Davidson Technologies, Inc.

Fort Worth, TX • On-site

Full-time

Posted 5 days ago

Job description

Davidson has distinguished itself in the aerospace and missile defense industry with an outstanding reputation for excellence. Specifically, we're recognized for hiring noted experts, experienced engineers and scientists dedicated to designing and delivering advanced, intelligent technology solutions in defense of our Nation.

Davidson is seeking a Chief Scientist in Ft. Worth, Texas.

Job Responsibilities:

  • Act as the chief technical authority for all advanced multi-domain mission systems, defining and evolving system architectures that satisfy stakeholder needs, align with technical roadmaps, and meet stringent performance, safety, and reliability standards.
  • Lead the development of Open Mission Systems (OMS)/Universal Command and Control Interface (UCI) System-of-Systems architectures, ensuring compliance with industry standards (SOSA, FACE, MOD, etc.) and enabling plug-and-play interoperability across domains.

  • Embedded Mission Computing & High-Performance Processing

    • Guide the design, integration, and validation of embedded mission computing solutions, including 3U VPX/OpenVPX-based systems, conduction-cooled architectures, and high-performance processing fabrics (GPUs, FPGAs, many-core processors).
    • Oversee hardware/software co-design efforts to optimize SWaP-C (Size, Weight, Power, and Cost) while maximizing throughput, deterministic latency, and ruggedness for airborne, space, ground, and naval platforms.

  • Advanced Data Fusion, Sensing & Collaborative Targeting

    • Champion the development of advanced data fusion algorithms, collaborative passive sensor targeting, and distributed tracking solutions that create a joint force common operational picture (COP)

Job Requirements:


  • Ph.D. in Electrical Engineering, Computer Engineering, Aerospace Engineering, Computer Science, Physics, or a closely related STEM discipline (Master's degree with 15+ years of relevant experience may be considered).
  • Minimum 12 years of progressive experience in defense/aerospace systems engineering, with a strong focus on mission systems, embedded computing, open architectures, and sensor/data fusion technologies.
  • Demonstrated track record of technical leadership on major defense programs (Air Force, Army, Navy, MDA, DARPA, or equivalent international customers).
  • Deep knowledge of Open Mission Systems (OMS), Universal Command and Control Interface (UCI), Sensor Open Systems Architecture (SOSA), FACE, MOD, and related open-architecture standards.
  • Proven expertise in 3U VPX/OpenVPX, VITA standards, conduction-cooled embedded systems, high-performance computing (HPC) in constrained environments, and heterogeneous processing (CPU/GPU/FPGA/ASIC).
  • Strong background in advanced data fusion, multi-sensor integration, collaborative targeting, distributed tracking, and joint all-domain command and control (JADC2) concepts.
  • Hands-on experience with modeling & simulation tools (MATLAB/Simulink, ANSYS, Systems Tool Kit (STK), Python-based simulations) and digital engineering frameworks (MBSE, SysML, Cameo, etc.).
  • Familiarity with AI/ML algorithms for defense applications (target recognition, anomaly detection, predictive maintenance, decision support) and awareness of emerging paradigms (quantum ML, neuromorphic computing).
  • Understanding of system safety, reliability, security (cybersecurity, TEMPEST, DO-254/DO-178C as applicable), and certification processes for avionics and mission-critical systems.

Clearance Requirements:

  • Active DoD Security Clearance at the Secret level or above.

Apply