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Unique Learning System Jobs in California (NOW HIRING)

Spotter

Machine Learning Scientist

Culver City, CA · On-site

... minutes, delivering a unique scaled media solution to Advertisers and Ad Agencies that is ... Creating systems that balance exploration and exploitation, short-term performance and long-term ...

Collabera Digital

Learning Specialist

Sacramento, CA · On-site

$70K - $79K/yr

... via our Learning Management System). * Contribute to the planning and logistics related to ... Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk! Preferred Skills ...

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Unique Learning System information

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$18

$36

$56

How much do unique learning system jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for unique learning system in California is $36.79, according to ZipRecruiter salary data. Most workers in this role earn between $27.74 and $46.25 per hour, depending on experience, location, and employer.

What is a Unique Learning System?

A Unique Learning System (ULS) job typically involves working with a cloud-based special education curriculum designed for students with diverse learning needs. Professionals in these roles may include educators, curriculum specialists, or instructional aides who implement and customize ULS materials to support individualized learning. Responsibilities often include lesson planning, progress monitoring, and adapting instructional strategies to meet students' needs. These jobs are commonly found in special education classrooms, therapy settings, and educational organizations focused on differentiated instruction.

What are the typical responsibilities of a Unique Learning System specialist in a school setting?

A Unique Learning System Specialist is responsible for implementing adaptive curriculum solutions, training teachers on proper usage, and providing ongoing support to ensure students' learning needs are met. They analyze student data, tailor instructional plans, and collaborate with special education teams and classroom teachers to maximize educational outcomes. Daily tasks may involve troubleshooting software issues, conducting workshops, and developing resource materials. This collaborative and support-oriented role directly impacts both teacher efficacy and student success.

What are the key skills and qualifications needed to thrive in the Unique Learning System position, and why are they important?

To excel as a Unique Learning System Specialist, you should have a background in education, curriculum development, and adaptive instructional strategies, supported by a relevant degree or teaching certification. Familiarity with learning management systems (LMS), data tracking tools, and digital curriculum platforms is typically required. Strong organizational skills, creativity, and the ability to communicate effectively with students, educators, and support staff are key soft skills in this position. These abilities are critical for designing and delivering personalized learning experiences that meet diverse student needs and achievement goals.

What are the most commonly searched types of Unique Learning System jobs in California?

The most popular types of Unique Learning System jobs in California are:

What are popular job titles related to Unique Learning System jobs in California?

For Unique Learning System jobs in California, the most frequently searched job titles are:

What job categories do people searching Unique Learning System jobs in California look for?

The top searched job categories for Unique Learning System jobs in California are:

What cities in California are hiring for Unique Learning System jobs?

Cities in California with the most Unique Learning System job openings:

Unique Learning System jobs near you
Infographic showing various Unique Learning System job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $76,530 per year, or $36.8 per hour.

Software Engineer, CUDA Deep Learning Systems

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 15 hours ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

We are looking for an experienced and highly motivated software professional to work on pioneering initiatives and projects at the intersection of CUDA and Deep Learning Systems. As the complexity and scale of artificial intelligence continue to grow, the intersection of advanced deep learning architectures, massive-scale distributed computing, and low-level hardware optimization has never been more critical. Our team is dedicated to exploring and prototyping next-generation ideas that bridge the gap between deep learning algorithms and CUDA, pushing the boundaries of what is possible on modern accelerator architectures. Join our dynamic, research-oriented team to help unlock maximum hardware performance for emerging AI workloads. You will be a crucial member of a highly technical group exploring uncharted territories in model optimization, custom kernel development, and cluster-scale AI systems design. If you are passionate about the fundamentals of deep learning and thrive on squeezing every ounce of performance out of advanced computing systems from a single GPU to supercomputer clusters, we want you on our team!
What you will be doing:
  • Explore, research, and prototype novel systems optimizations for advanced deep learning models at the intersection of high-level DL frameworks and low-level CUDA through modeling, simulation, and silicon prototyping.
  • Architect and optimize distributed computing systems that scale seamlessly from a single node to massive, cluster-scale supercomputing environments.
  • Design, implement, and optimize custom high-performance CUDA kernels tailored to emerging neural network architectures and workloads.
  • Analyze complex hardware-software interactions to identify and resolve performance bottlenecks in both training and inference pipelines.
  • Collaborate closely with AI researchers, HW and SW architects, kernel and compiler authors and CUDA driver experts to co-design systems and algorithms that improve accelerator compute utilization, memory bandwidth, cross-node network communication efficiency and programmability.
  • Develop exploratory tools and runtime systems to profile and accelerate new paradigms in deep learning.
  • Write clean, effective, and maintainable code, ensuring exploratory prototypes can smoothly transition into open-source releases, upstream framework integrations, internal tools, or closed-source commercial products.

What we need to see:
  • BS, MS, or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
  • 2+ years of relevant industry experience or equivalent academic experience after degree achievement.
  • Strong proficiency in C++ and Python programming.
  • Solid background in the fundamentals of Deep Learning with a focus on transformers.
  • Strong understanding of distributed computing principles, multi-node scaling, and the unique performance challenges of cluster-scale execution.
  • Proven experience in systems programming, computer architecture, and low-level systems performance optimization.
  • Familiarity with deep learning accelerator architectures such as the GPU and hands-on experience with CUDA programming, kernel optimization, and workload profiling
  • Experience profiling and optimizing generative AI models, including but not limited to, pioneering large language models.
  • Research background in machine learning systems or adjacent fields and experience profiling and optimizing innovative vision models, generative AI architectures, or diffusion models.
  • A track-record of initiative and willingness to deep-dive on problems across the stack.

Ways to stand out from the crowd:
  • Deep expertise in performance internals and execution graphs of major deep learning training and inference frameworks (e.g., PyTorch, JAX, TensorRT, vLLM, sgLang, Nemo, Megatron).
  • Hands-on experience with communication libraries (e.g., NCCL, MPI, UCX) and distributed machine learning techniques (e.g., pipeline, tensor, expert parallelism).
  • Knowledge of numerical methods and low-precision arithmetic (e.g., NVFP4, MXFP4, FP8, INT8) and their impact on deep learning accuracy and performance.
  • Background in deep learning compilers and ML systems, including graph-level and codegen tools (e.g., Triton, XLA, torch.compile) and highly parallel/RL-style simulation environments.
  • Experience designing and implementing agentic AI systems applied to complex systems and infrastructure problems.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 4, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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