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Mid Level Neuromorphic Computing Jobs in Austin, TX

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

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

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Showing results 41-46

Mid Level Neuromorphic Computing information

See Austin, TX salary details

$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:

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.

Full-time

Posted 14 days ago


Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

28th of 159 rated electronics manufacturers


Job description


ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them.

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward.



MANAGER, SUPPLY PLANNINGTHE ROLE:

This role offers the opportunity to lead supply planning for AMD’s fast-growing Data Center GPU business, partnering across Operations, Business Units, Engineering, Manufacturing, Procurement, Logistics, and external suppliers to enable successful product ramps, customer commitments, and profitable growth. The Manager, Supply Planning will lead a team of planners responsible for translating demand, capacity, material availability, and execution risks into actionable supply plans across the planning horizon.

THE PERSON:

The ideal candidate is a collaborative and decisive supply chain leader who thrives in ambiguity, brings structure to complex problems, and can balance strategic planning with hands-on execution. This person should be comfortable leading teams, influencing cross-functional stakeholders, using data to drive decisions, and challenging existing processes to improve speed, scalability, and supply assurance.

KEY RESPONSIBILITIES:
  • Lead, coach, and develop a team of Supply Planners supporting Data Center GPU programs.
  • Own supply planning execution across short-, mid-, and long-term horizons to support revenue attainment, customer commitments, and product ramp milestones.
  • Partner with Business Units, Demand Planning, Manufacturing, Engineering, Procurement, Logistics, and suppliers to align demand, supply, capacity, materials, and execution priorities.
  • Identify supply risks, drive mitigation plans, and escalate trade-offs or decisions with clear business impact.
  • Manage supply planning KPIs, including on-time delivery, revenue support, inventory health, excess and obsolete exposure, and supply commit accuracy.
  • Lead cross-functional issue resolution for shortages, capacity constraints, material readiness, planning parameter gaps, and execution blockers.
  • Drive process, system, and tool improvements to scale planning capability across complex BOMs, inventory flows, and multi-site supply networks.
  • Champion continuous improvement, change management, and standard work to improve productivity, transparency, and planning discipline.
PREFERRED EXPERIENCE:
  • Experience in supply chain, supply planning, operations, manufacturing, or related functions.
  • Strong understanding of supply chain planning concepts, material flow, capacity planning, inventory management, and operational execution.
  • Demonstrated ability to lead cross-functional problem solving and influence stakeholders across multiple levels and geography.
  • Strong analytical, communication, and decision-making skills in a fast-paced environment.
  • Experience managing priorities, risks, and trade-offs in support of customer commitments and business goals.
  • Prior people leadership or team lead experience.
  • Experience in semiconductor, high-tech manufacturing, NPI, or complex hardware supply chains.
  • Experience with SAP, Kinaxis Rapid Response, advanced planning tools, dashboards, or supply planning automation.
  • Experience supporting product ramps, capacity allocation, constrained supply environments, or executive-level escalations.
ACADEMIC CREDENTIALS:
  • Bachelor’s degree in Supply Chain, Operations Research, Industrial Engineering, Business, Engineering, or a related technical field.
LOCATION: Austin, TX

This role is not eligible for visa sponsorship.

#LI-RD1

#LI-HYBRID



Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Qualifications:

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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