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Mid Level Neuromorphic Computing Jobs in California

Intel

Senior AI Software Architect - Runtime

Santa Clara, CA · On-site

$152K - $206K/yr

... computing, from transistor-level innovation to software abstractions, join us. Help define the next wave of AI technology that harnesses the proven advantages of Intel's neuromorphic computing ...

Boeing

Mid-Level Programmer Analyst

Seal Beach, CA

$122K - $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

Seal Beach, CA · On-site

$122K - $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

Seal Beach, CA · On-site

$122K - $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 ...

Neurophos Inc

VP of Optics

San Jose, CA · On-site

$325K - $400K/yr

Expert-level knowledge of coherent light systems, Gaussian beam propagation, and ABCD matrix ... Experience with neuromorphic computing or advanced AI hardware architectures. * Knowledge of ...

Boeing

Mid-Level Software Developer

Seal Beach, CA · On-site

Mid-Level Software Developer Company: The Boeing Company The Boeing Information Digital Technology ... Designs, programs, tests, implements, documents and maintains computing applications * Collaborate ...

Boeing

Mid-Level Software Developer

Seal Beach, CA

Mid-Level Software Developer Company: The Boeing Company The Boeing Information Digital Technology ... Designs, programs, tests, implements, documents and maintains computing applications * Collaborate ...

Boeing

Mid-Level Software Developer

Seal Beach, CA

Mid-Level Software Developer Company: The Boeing Company The Boeing Information Digital Technology ... Designs, programs, tests, implements, documents and maintains computing applications * Collaborate ...

Fuse Integration

Systems Engineer Mid-Level

San Diego, CA · On-site

$12K - $155K/yr

Fuse builds innovative communications, networking, and computing solutions that improve the sharing ... Support decomposition of customer requirements into system-level behaviors Design * Support system ...

Fuse Integration

Systems Engineer Mid-Level

San Diego, CA · On-site

$12K - $155K/yr

Fuse builds innovative communications, networking, and computing solutions that improve the sharing ... Support decomposition of customer requirements into system-level behaviors Design * Support system ...

Fuse Integration

Systems Engineer Mid-Level

San Diego, CA

$12K - $155K/yr

Fuse builds innovative communications, networking, and computing solutions that improve the sharing ... Support decomposition of customer requirements into system-level behaviors Design * Support system ...

360 IT Professionals

Mid level QA tester

Fremont, CA · On-site

Our services also extend to the domain of Cloud Computing, where we provide Salesforce CRM to effectively manage one's business and ease out all the operations by giving an easy platform. Apart from ...

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All JobsMid Level Neuromorphic Computing JobsMid Level Neuromorphic Computing Jobs in California

Mid Level Neuromorphic Computing information

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 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 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 popular job titles related to Mid Level Neuromorphic Computing jobs in California? For Mid Level Neuromorphic Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Mid Level Neuromorphic Computing jobs in California look for? The top searched job categories for Mid Level Neuromorphic Computing jobs in California are:
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Mid Level Neuromorphic Computing jobs near you
Physical Design Engineer - Neuromorphic Computing

Physical Design Engineer - Neuromorphic Computing

Intel

Santa Clara, CA

$159K - $164K/yr

Full-time

Medical, Retirement, PTO

Posted 27 days ago

Intel rating

8.8

Company rating: 8.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

8th of 139 rated electronics manufacturers

Job description

Job Details:Job Description: 

The world is transforming - and so is Intel. Intel is a company of bold and curious inventors and problem solvers who create some of the most astounding technology advancements and experiences in the world. With a legacy of relentless innovation and a commitment to bring smart, connected devices to every person on Earth, our diverse and brilliant teams are continually searching for tomorrow's technology and revel in the challenge that changing the world for the better brings. We work every single day to design and manufacture silicon products that empower people's digital lives. Come join us and do something wonderful.

The Opportunity:
For nearly a decade, Intel's Neuromorphic Computing Lab-together with a global ecosystem of 250+ research groups-has explored architectures, algorithms, and software inspired by the brain's extraordinary efficiency, scalability, and adaptability. Our Loihi series of research chips pioneered event-driven, sparse, and massively parallel neuro-inspired processing, fueling over 100 peer-reviewed publications that validate the promise of this novel approach.
Now, we're entering an exciting new chapter: transforming these breakthroughs into real-world products that will power the coming era of physical AI systems-beyond the reach of GPUs and mainstream AI accelerators.
If you are passionate about pushing the boundaries of computing, from transistor-level innovation to software abstractions, join us. Help define the next wave of AI technology that harnesses the proven advantages of Intel's neuromorphic computing technology with the versatility demanded by modern AI workloads.
Position Overview:
We are growing our silicon team, seeking physical design engineers passionate about innovation at the intersection between emerging semiconductor technology and novel computing paradigms. As a member of Intel's neuromorphic silicon team, you will play a hands-on role in ensuring designs meet performance, area, power and scan coverage targets. An openness to learning new technologies and methodologies, such as asynchronous design, is essential.
Responsibilities:
Understand design dataflow and chip-level floor-planning constraints to set up partition floorplans with macro/pin placements and keep-outs.
Work with RTL designers to define timing constraints; run synthesis and place-and-route trials; fix timing, EM/IR and DRC violations.
Run back-annotated VCS+SDF simulations and iterate on meeting power/performance targets.
Write custom scripts and define tool flows to manipulate synthesis and physical design tools for low power/high performance custom designs.

Qualifications:

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your degree, research and or relevant previous job and or internship experiences.

Minimum qualifications:
Bachelors & 4+ years or Masters & 3+ years or PhD with hands-on physical design experience.
3+ year of experience in synthesis, place and route and timing/layout closure.
3+ years of experience with scripting languages such as Perl, TCL, Python, etc.
Preferred qualifications:
Experience in chiplet integration and/or advanced packaging.
Static timing experience with multiple interfaces (SerDes, UCIe, etc..)
Experience in Synopsys tools (Fusion Compiler, Primetime, VCS)
Experience in EDA/CAD software development using object-oriented programming languages like Java or C++.
Experience in asynchronous architectures and circuits.

Job Type:College GradShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, California, Folsom, US, California, San Jose, US, California, Santa ClaraBusiness group:Intel makes possible the most amazing experiences of the future. You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth. Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers, and society.Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $122,440.00-232,190.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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