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Internship Accelerator Physics Jobs in California

D. degree in Mathematics, Physics, Computer Science, or a relevant STEM field. * 5+ years of ... internship experiences and/or schoolwork/classes/research. Job Type:Experienced Hire Shift:Shift 1 ...

Internship Accelerator Physics information

What is an internship accelerator physics position?

Internship Accelerator Physics positions are short-term learning opportunities for students or recent graduates to gain hands-on experience in the field of accelerator physics. These internships typically involve working with particle accelerators, conducting experiments, analyzing data, and learning about the design and operation of accelerator facilities. Interns work under the guidance of experienced physicists and engineers, helping with ongoing research projects and sometimes contributing to technical developments. Such internships are valuable for those considering a career in physics research, engineering, or related scientific fields. They also provide networking opportunities and practical skills that are beneficial for future academic or professional pursuits.

What are the key skills and qualifications needed to thrive as an accelerator physics intern?

To thrive as an Accelerator Physics Intern, you need a solid background in physics, mathematics, and engineering principles, typically supported by coursework or a degree in physics or a related field. Familiarity with simulation software (like MAD-X, COMSOL), programming languages (such as Python or MATLAB), and laboratory instrumentation is often required. Strong analytical thinking, attention to detail, and effective teamwork skills help interns contribute to complex research projects and collaborate with multidisciplinary teams. These skills are crucial for successfully analyzing data, solving technical challenges, and advancing experimental goals in accelerator physics environments.

What types of projects and hands-on experiences can I expect during an internship in accelerator physics?

As an intern in accelerator physics, you can expect to work on projects ranging from data analysis of particle accelerator experiments to assisting with the design and testing of accelerator components. Typical tasks might include running simulations, calibrating instruments, or helping collect and interpret experimental results. You'll often collaborate closely with senior physicists, engineers, and technical staff, gaining exposure to multidisciplinary teamwork in a laboratory setting. These experiences not only deepen your understanding of accelerator technology but also help you build practical skills valued in both academia and industry.

What is the difference between Internship Accelerator Physics vs Internship Nuclear Physics?

AspectInternship Accelerator PhysicsInternship Nuclear Physics
Required CredentialsUndergraduate or Master's in Physics or related fieldUndergraduate or Master's in Physics, Nuclear Engineering, or related field
Work EnvironmentResearch labs, particle accelerators, universitiesResearch labs, nuclear facilities, universities
Industry UsageHigh-energy physics, particle research, accelerator developmentNuclear research, energy, medical applications

Internship Accelerator Physics focuses on particle accelerators and high-energy physics research, while Internship Nuclear Physics centers on nuclear reactions and applications. Both roles require a physics background and involve research in laboratory settings, but they differ in their specific scientific focus and industry applications.

What are the most commonly searched types of Accelerator Physics jobs in California?

The most popular types of Accelerator Physics jobs in California are:

What are popular job titles related to Internship Accelerator Physics jobs in California?

For Internship Accelerator Physics jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Accelerator Physics jobs in California look for?

The top searched job categories for Internship Accelerator Physics jobs in California are:

What cities in California are hiring for Internship Accelerator Physics jobs?

Cities in California with the most Internship Accelerator Physics job openings:

Senior AI Software Engineer - Neuromorphic Computing

Intel

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Medical, Retirement, PTO

Re-posted 4 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 159 rated electronics manufacturers


Job description

Job Details:Job Description: 

About the Organization
As part of Intel's CTO Office, you will join a vertically integrated incubation effort dedicated to bringing Intel's neuromorphic technology innovations to market. Our diverse team of engineers and researchers have pioneered sparse, event-based, neuromorphic architecture over multiple generations and is now focused on commercializing the technology in future Intel and partner products

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.

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
Join the team defining and implementing Intel's product-grade neuromorphic AI software stack. Contribute across all levels of the stack from drivers to runtime to AI framework integration in collaboration with hardware, software and solution architects to deliver robust, efficient, scalable software solutions that enable customers to build high-performance physical AI applications powered by Intel's neuromorphic technology.
Responsibilities

  • Design, implement and optimize Intel's neuromorphic AI compiler and runtime environment.
  • Contribute to tools and infrastructure that enable performance analysis, verification, debugging, and optimization across the software stack.
  • Integrate software stack into external ecosystems, particularly robotics and edge AI frameworks.
  • Collaborate with internal compiler, hardware, systems teams and external customers to improve software quality, performance, and usability across the stack.
Qualifications:

The Minimum qualifications are required to be initially considered for this position. Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or in a STEM related field.
  • 3+ years of experience developing AI compiler, runtime, performance, or systems software, including execution environments, profiling, or debugging infrastructure in frameworks like ONNX, IREE, OpenVINO, TVM, MLIR, XLA.
  • 3+ years of experience architecting and implementing production-grade software systems for maintainability, using standard engineering practices (e.g. profiling, benchmarking, correctness/performance regression testing, build/toolchain discipline, or CI/CD).
  • 3+ years of experience with production software development in Python and C/C++, including systems-level and performance-critical code.
  • 3+ years of experience with AI, deep learning, or optimization algorithms using frameworks such as PyTorch, JAX, or TensorFlow.

Preferred Qualifications

  • Post graduate degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or in a STEM related field.
  • Strong expertise in robotics or real-time systems including frameworks such as ROS2.
  • Experience in low-level systems and accelerator programming (CUDA, LLVM, OneAPI, OpenCL, SYCL).
  • Experience in HW/SW co-design and hardware simulator development.
  • Experience with effective agentic AI software engineering practices.
  • Experience with parallel computing paradigms or spatial AI hardware accelerators.
  • Expertise developing software architectures and managing software projects.
  • Experience working effectively in cross functional teams spanning hardware, systems software, and applications.
  • Prior contributions to open-source projects.
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, California, Santa Clara, US, Texas, AustinBusiness 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: $149,750.00-275,580.00 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

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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