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Mid Level Neuromorphic Computing Jobs in Austin, TX

Google Inc.

CPU Power Modeling Engineer

Austin, TX · On-site

$138 - $197/hr

corporate_fare Google place Austin, TX, USA Mid Experience driving progress, solving problems, and ... Demonstrated knowledge of CPU microarchitecture and system level. About the job Be part of a team ...

Amazon

Solutions Architect, ISV Developer AI

Austin, TX · On-site +1

... executive-level technical relationships with ISV CTOs and VPs of Engineering. - Drive product ... We pioneered cloud computing and never stopped innovating - that's why customers from the most ...

Amazon

Solutions Architect, ISV Developer AI

Austin, TX · On-site +1

... executive-level technical relationships with ISV CTOs and VPs of Engineering. - Drive product ... We pioneered cloud computing and never stopped innovating - that's why customers from the most ...

Google Inc.

CPU Physical Design Engineer

Austin, TX · On-site

$138 - $197/hr

Mountain View, CA, USA Mid Experience driving progress, solving problems, and mentoring more junior ... Experience working on high-performance CPU, GPU, or SoC block-level designs in advanced process ...

Amazon

WW Senior Business Developer, MSP Program

Austin, TX · On-site

$115K - $115K/yr

... growing small- and mid-market accounts to enterprise-level customers including public sector ... We pioneered cloud computing and never stopped innovating - that's why customers from the most ...

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Showing results 21-40

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

Mid Level Neuromorphic Computing information

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$10.9K

$85.9K

$112K

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 Austin, TX is $85,904.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $106,600.00 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 the most commonly searched types of Neuromorphic Computing jobs in Austin, TX?

The most popular types of Neuromorphic Computing jobs in Austin, TX are:

What are popular job titles related to Mid Level Neuromorphic Computing jobs in Austin, TX?

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

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

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

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

Cities near Austin, 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 Austin, TX as of August 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 100% In-person job distribution, with an average salary of $85,904 per year, or $41.3 per hour.

Sr. Software Engineer, Information Systems & Technology

Apple

Austin, TX • On-site

$121K - $160K/yr

Full-time

Re-posted 20 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Join us, the team that serves as Apple's nerve center: Apple Information Systems and Technology group!
We are looking for mid-career senior-level Java Software Engineers, who will work closely with other Software Engineers, Project & Product Managers, Product Designers, other internal & external partners as well as with Apple leadership.
There are countless ways you can contribute here, from working on apple.com to software for digital & physical Apple Stores, from software for Apple Care to Apple-wide systems for identity, operations, recruiting, and people management, from software for Apple data centers to Apple-wide data processing & AI/ML systems.
When you join IS&T, you'll help design and manage systems, frameworks, and apps that countless Apple customers and employees rely on every day. Together, we'll explore all the ways to improve how Apple operates, freeing our employees to do what they do best, and crafting magical experiences for our customers.
Description
As a senior-level Software Engineer, you will design, develop, test, document, improve, and maintain code mostly in Java (and other languages as needed). You will partake in every aspect of your projects, from planning to design to implementation and future iterations, and you will be encouraged to play an extended role in designing solutions.
The ideal candidate is self-motivated, pro-active and results-driven. Attention to detail, dedication to providing high-quality solutions modeling engineering excellence, and ability to work towards on-time delivery of projects are all crucial qualities needed to work at Apple as a Software Engineer.
The ideal candidate will also posses excellent communication and collaboration skills to work with various internal and external partners.
Minimum Qualifications
B.S. in Computer Science, Computer Engineering, or a related technical field, or equivalent professional work experience.
5+ years proven experience developing software in a professional capacity. Longer experience preferred.
3+ years proven experience implementing, and shipping high-scale, high-performance, highly available, fault-tolerant, and secure cloud-based distributed systems, including proficiency in API implementation (e.g. REST, RPC, GraphQL, etc).
3+ years proven experience using relational (e.g. Postgres, MySQL, etc.) and NoSQL (e.g. Cassandra, MongoDB, etc.) databases, including proficiency in schema design and query optimization.
2+ years proven experience with Java, including proficiency in concurrency, memory management, and performance optimization techniques.
Proficiency in OOP principles, data structures, algorithms, and software design patterns (e.g. GoF), with a proven focus on implementing testable, maintainable, and extensible backend code.
Preferred Qualifications
Track record of leading software projects within a team as a tech lead (TL), while mentoring software engineers.
Comfortable using CI/CD tools to build, test, deploy, and release containerized software applications on cloud-based Kubernetes (e.g. AWS EKS, GCP GKE, Azure AKS, etc.).
Expertise in Java web (e.g. ServiceTalk, Spring, Dropwizard, Quarkus, Micronaut, etc.) and unit testing frameworks (e.g. JUnit, Mockito, etc).
Experience with tooling languages (e.g. Go, Python, Ruby, etc.) and distributed orchestration & computing systems (e.g. Airflow, Spark, Flink, etc.).
Understanding of advanced JVM internals (e.g. garbage collection, memory allocation, JIT, JNI, etc.).
Knowledge of networking concepts & protocols (e.g. HTTP/HTTPS, CDN, edge computing, load balancing, OSI model, etc.).

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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