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Mid Level Neuromorphic Computing Jobs (NOW HIRING)

Atria Group LLC

Mid Level Java Developer

Chicago, IL

We provide these services in multiple computing environments and use technologies such as client/server architecture, object-oriented programming languages and tools, distributed database management ...

MMB Solutions LLC

Mid-Level Systems Engineer

Dayton, OH · On-site

$130K - $185K/yr

Mid-Level Systems Engineer Location: Dayton, Ohio Security Clearance: U.S. Citizenship Required ... This role focuses on research, development, and experimentation with distributed computing ...

IC-CAP, LLC

Mid-level Software Architect

Chantilly, VA · On-site

We are seeking a Mid-level Software Architect to assist in the design and development of software ... Experience in one of the following areas: cloud computing, service orientation, containerization ...

Boeing

Mid-Level Programmer Analyst

Plano, TX · On-site

$96.05K - $139.15K/yr

North Charleston, SC; or Plano, TX. As our Mid-Level Programmer Analyst, you'll design, program, test, implement, document and maintain computing applications in Direct Procurement and Supplier ...

B/CORE

Mid-Level Network Engineer

Chantilly, VA · On-site

Mid-Level Network Engineer At Bcore, our strength comes from how we deliver impact to the mission ... Enterprise Computing Engineering services include modern application technology with containerized ...

Boeing

Mid-Level Programmer Analyst

Seal Beach, CA · On-site

$122.40K - $145K/yr

Mid-Level Programmer Analyst Company: The Boeing Company The Boeing Company's Information Digital ... Designs, programs, tests, implements, documents and maintains computing applications, software and ...

Boeing

Mid-Level Programmer Analyst

Seattle, WA

$122.40K - $145K/yr

Mid-Level Programmer Analyst Company: The Boeing Company The Boeing Company's Information Digital ... Designs, programs, tests, implements, documents and maintains computing applications, software and ...

Boeing

Mid-Level Programmer Analyst

Everett, WA · On-site

$96.05K - $139.15K/yr

North Charleston, SC; or Plano, TX. As our Mid-Level Programmer Analyst, you'll design, program, test, implement, document and maintain computing applications in Direct Procurement and Supplier ...

Boeing

Mid-Level Programmer Analyst

Mesa, AZ · On-site

$96.05K - $139.15K/yr

North Charleston, SC; or Plano, TX. As our Mid-Level Programmer Analyst, you'll design, program, test, implement, document and maintain computing applications in Direct Procurement and Supplier ...

Boeing

Mid-Level Programmer Analyst

Seattle, WA · On-site

$96.05K - $139.15K/yr

North Charleston, SC; or Plano, TX. As our Mid-Level Programmer Analyst, you'll design, program, test, implement, document and maintain computing applications in Direct Procurement and Supplier ...

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Mid Level Neuromorphic Computing information

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

As of Jun 4, 2026, the average yearly pay for mid level neuromorphic computing in the United States is $86,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $107,500.00 per year, depending on experience, location, and employer.

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 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 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 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.

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Mid Level Neuromorphic Computing jobs near you
Principal Software Architect

Principal Software Architect

BrainChip, Inc.

Laguna Hills, CA • Remote

Full-time

Posted 8 days ago

Job description

Principal Software ArchitectDefine how developers build AI on next-generation hardware

At BrainChip, we’re building a new class of AI. Our neuromorphic processors are designed to process data the way the brain does, enabling ultra-efficient, real-time intelligence directly on devices.

We’re looking for a Principal Software Architect to define how developers interact with this technology.

This is not a typical platform role. You will own the full developer experience for our next-generation NPU, shaping how AI models are built, optimized, deployed, and run on neuromorphic hardware.

You’ll work directly with the CTO, compiler, and silicon teams to translate cutting-edge hardware capabilities into intuitive, high-performance software systems that developers actually want to use.

If you care about the intersection of AI, systems, and developer experience, this is a rare opportunity to define a new paradigm.

What you’ll own
  • The end-to-end developer experience for building and deploying AI on BrainChip hardware
  • The software layer that bridges neuromorphic silicon and real-world AI applications
  • How developers optimize performance, power efficiency, and real-time inference
What you’ll do
  • Architect and integrate a unified AI toolchain across compiler, runtime, IDE, and deployment
  • Build a modern developer environment with LLM-assisted workflows and intelligent tooling
  • Design profiling and observability systems tailored for real-time AI workloads
  • Enable efficient deployment of AI models onto resource-constrained, edge devices
  • Lead bootloader architecture and RTOS integration for AI-enabled systems
  • Extend debugging and tracing capabilities to expose AI model behavior at runtime
  • Partner with silicon and compiler teams to shape hardware-software co-design
  • Use real-world AI workloads to influence architecture decisions and performance tradeoffs
What you bring
  • 7+ years of experience in systems software, developer platforms, or low-level architecture
  • Strong background in AI systems, embedded systems, or performance-critical software
  • Experience building or integrating developer tools, compilers, or runtime environments
  • Expertise in C or C++ with strong proficiency in Python

Strong experience in several of the following:

  • AI or ML frameworks and model deployment workflows
  • Compiler ecosystems such as LLVM or MLIR
  • Debugging and profiling tools such as GDB, LLDB, eBPF
  • Embedded systems and RTOS environments such as Zephyr or FreeRTOS
  • IDE tooling such as VS Code extensions, LSP, or DAP
Nice to have
  • Experience with edge AI, neuromorphic computing, or low-power inference
  • Contributions to open-source developer tools or AI frameworks
  • Experience integrating LLMs into developer workflows
  • Background in robotics, embedded AI, or real-time systems
Why this role
  • Define how developers build AI on a fundamentally new hardware architecture
  • Work directly with leadership and influence product direction
  • Solve challenges at the intersection of AI, systems, and hardware
  • Be part of a team building real-world AI that runs beyond the cloud