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Internship Math Curriculum Developer Jobs in Sunnyvale, CA

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

We're seeking interns who care about outcomes, think in systems, and make data-driven decisions. If ... engineering, data science, applied mathematics, or equivalent. Doctoral degree paths are preferred ...

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

We're seeking interns who care about outcomes, think in systems, and make data-driven decisions. If ... engineering, data science, applied mathematics, or equivalent. Doctoral degree paths are preferred ...

Gavilan College

Part-Time Mathematics Instructor

Gilroy, CA · On-site

$74.74 - $100.18/hr

... Engineering, and Mathematics - Contact: Dean of Student Learning, Equity and Student Success - STEM ... This position requires development and review of curriculum, as well as, assessment of student ...

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Internship Math Curriculum Developer information

See Sunnyvale, CA salary details

$29.9K

$70.6K

$97.4K

How much do internship math curriculum developer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for internship math curriculum developer in Sunnyvale, CA is $70,564.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $75,700.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can I expect as an Internship Math Curriculum Developer?

As an Internship Math Curriculum Developer, you can expect to participate in a variety of hands-on projects, such as creating lesson plans, developing educational resources, and aligning materials with state or national standards. Your daily work may include collaborating closely with experienced educators, providing feedback on instructional materials, and assisting in the design of engaging classroom activities. This role also offers opportunities to gain experience with curriculum mapping and to learn best practices in educational content development, making it ideal for those interested in both teaching and instructional design.

What are the key skills and qualifications needed to thrive as an Internship Math Curriculum Developer, and why are they important?

To thrive as an Internship Math Curriculum Developer, you need a solid understanding of mathematics, knowledge of educational standards, and experience with lesson planning or instructional design. Familiarity with curriculum development software, learning management systems (LMS), and tools like Google Workspace or Microsoft Office is typically expected. Strong communication, creativity, and collaboration skills help in translating complex concepts into engaging, accessible learning materials. These skills are essential for creating effective, relevant curricula that support student learning and align with educational goals.

What does an Internship Math Curriculum Developer do?

An Internship Math Curriculum Developer assists in creating, revising, and improving math lesson plans, activities, and educational materials under the supervision of experienced curriculum developers or educators. They help research best teaching practices, align materials with educational standards, and may pilot lessons with students or gather feedback. Interns often work with a team to ensure that the curriculum is engaging, effective, and accessible to diverse learners. This role is ideal for individuals interested in education, math, and instructional design.
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Internship Math Curriculum Developer jobs near you
Senior Math Libraries Engineer - AI and HPC

Senior Math Libraries Engineer - AI and HPC

Nvidia

Santa Clara, CA

$122K - $168K/yr

Full-time

Re-posted 9 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

NVIDIA Math Libraries team is looking for a senior engineer to join our development efforts in the area of kernel generation for AI and HPC, specifically targeting matrix operations, JITing and fusions. Around the world, leading commercial and academic organizations are revolutionizing AI, scientific and engineering simulations, and data analytics, using data centers powered by GPUs. Applications of these technologies are in healthcare, NLP, VR, deep learning, autonomous vehicles and countless others. Did you know our team develops the GPU accelerated mathematical libraries that makes all of this possible?

What you will be doing:

  • Scoping, designing, and implementing high quality and performance numerical dense linear algebra software on GPUs.

  • Owning the execution of projects involving multiple engineers and sometimes teams.

  • Providing technical leadership and feedback to library engineers working with you on projects and sometimes mentor interns.

  • Working closely with product management and other internal and external customers to understand feature and performance requirements and contribute to the technical roadmaps of libraries.

  • Finding opportunities to improve library performance and reduce code maintenance overhead through re-architecting.

  • To be successful in your responsibilities which are by nature sophisticated, you will need to find and explain complex solutions, exercise leadership, and coordinate with multiple teams to work towards your goals.

What we need to see:

  • PhD, Master's, or Bachelor's degree in Computer Science, Applied Math, or related science or engineering field of study (or equivalent experience).

  • 8+ years of experience in designing, developing, testing, maintenance, and performance optimization of HPC software using C++.

  • Strong fundamentals in kernel generation and composable library design for linear algebra.

  • Leadership skills in driving software development projects.

  • Strong collaboration, communication, and documentation habits.

  • Kernel generation. JIT focus/experience desired

Ways to stand out from the crowd:

  • Experience with parallel programming, ideally using CUDA, MPI, OpenMP, OpenACC, pthreads.

  • Good understanding of Machine Learning and Deep Learning technologies as well as knowledge of GPU (preferred) or CPU hardware architecture.

  • Experience with low level programming using assembly for performance optimization and operator fusion is a huge plus.

  • Experience with agile software development practices using project management tools such as JIRA.

  • A scripting language, preferably Python.

With a competitive salary package and benefits, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous GenAI Engineer, who loves challenges? Do you have a genuine passion for advancing the state of AI & machine learning across a variety of industries? If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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