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Pure Mathematics Jobs in California (NOW HIRING)

Sonic

Cook

Tracy, CA

$15 - $20.25/hr

Effective communication skills; basic math and reading skills * Ability to follow directions ... That's why our drive-in makes your burgers with 100% pure beef patties, prepares hand-made onion ...

Sonic

Cook

Palmdale, CA

$15 - $20/hr

Effective communication skills; basic math and reading skills * Ability to follow directions ... That's why our drive-in makes your burgers with 100% pure beef patties, prepares hand-made onion ...

Kona Ice

Server of fun and Smiles

Exeter, CA · On-site

$17.50/hr

Are quick learners and can perform quick simple math calculations * work well under minimal ... Need a moment of pure bliss? Kona Ice has you covered. Come visit us, let our sweet tunes sweep you ...

Sonic

Cook

Victorville, CA

$14 - $18.75/hr

Effective communication skills; basic math and reading skills * Ability to follow directions ... That's why our drive-in makes your burgers with 100% pure beef patties, prepares hand-made onion ...

Sonic

Cook

Stockton, CA

$14.75 - $19.75/hr

Effective communication skills; basic math and reading skills * Ability to follow directions ... That's why our drive-in makes your burgers with 100% pure beef patties, prepares hand-made onion ...

Kona Ice

Kona Ice Driver/Server

Bloomington, CA · On-site

$20/hr

Are quick learners and can perform quick simple math calculations * work well under minimal ... Need a moment of pure bliss? Kona Ice has you covered. Come visit us, let our sweet tunes sweep you ...

Sonic Drive-In

Cook

Victorville, CA

$14 - $18.75/hr

Effective communication skills; basic math and reading skills * Ability to follow directions ... That's why our drive-in makes your burgers with 100% pure beef patties, prepares hand-made onion ...

Kona Ice

Kona Ice Driver/Server

Bloomington, CA · On-site

Are quick learners and can perform quick simple math calculations * work well under minimal ... Need a moment of pure bliss? Kona Ice has you covered. Come visit us, let our sweet tunes sweep you ...

Sonic

Cook

Madera, CA

$14.25 - $19.25/hr

Effective communication skills; basic math and reading skills * Ability to follow directions ... That's why our drive-in makes your burgers with 100% pure beef patties, prepares hand-made onion ...

Sonic

Cook

Modesto, CA

$14.75 - $19.75/hr

Effective communication skills; basic math and reading skills * Ability to follow directions ... That's why our drive-in makes your burgers with 100% pure beef patties, prepares hand-made onion ...

Nextdoor

Data Scientist - Search

San Francisco, CA · On-site +1

We are the mathematical decision scientists for the product development organization and play a ... You should be energized by both halves of that loop -- neither a pure analyst who hands off ...

Sonic Drive-In

Cook

Santee, CA

$20 - $25/hr

Effective communication skills; basic math and reading skills * Ability to follow directions ... That's why our drive-in makes your burgers with 100% pure beef patties, prepares hand-made onion ...

Sonic Drive-In

Cook

Vista, CA · On-site

$20 - $25/hr

Effective communication skills; basic math and reading skills * Ability to follow directions ... That's why our drive-in makes your burgers with 100% pure beef patties, prepares hand-made onion ...

Sonic

Cook

San Diego, CA

$15 - $20/hr

Effective communication skills; basic math and reading skills * Ability to follow directions ... That's why our drive-in makes your burgers with 100% pure beef patties, prepares hand-made onion ...

Sonic Drive-In

Cook

San Diego, CA

$20 - $25/hr

Effective communication skills; basic math and reading skills * Ability to follow directions ... That's why our drive-in makes your burgers with 100% pure beef patties, prepares hand-made onion ...

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Showing results 21-40

All JobsPure Mathematics JobsPure Mathematics Jobs in California

Pure Mathematics information

See California salary details

$20.7K

$51.8K

$99.2K

How much do pure mathematics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for pure mathematics in California is $51,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,400.00 and $55,300.00 per year, depending on experience, location, and employer.

What is a pure mathematics?

A Pure Mathematics job typically involves researching abstract mathematical concepts, solving theoretical problems, and developing new mathematical theories. Professionals in this field often work in academia as professors or researchers, but they can also find roles in finance, cryptography, data science, or software development. While pure mathematicians focus on theory rather than direct applications, their work often lays the foundation for advancements in applied sciences and technology.

What are the key skills and qualifications needed to thrive in pure mathematics?

To succeed in Pure Mathematics, you typically need an advanced degree (such as a master's or Ph.D.) in mathematics, along with strong analytical, logical reasoning, and problem-solving skills. Familiarity with mathematical software like MATLAB, Mathematica, or Maple, and experience in publishing academic papers or collaborating on research projects are commonly important. Exceptional attention to detail, perseverance, and clear communication—especially for presenting abstract concepts—are valuable soft skills. These abilities enable effective research, the clear dissemination of findings, and collaboration within academic or research-focused teams.

What are the common career paths or advancement opportunities for pure mathematics?

Professionals in Pure Mathematics can pursue a variety of career paths, including academic positions such as professor or researcher, roles in governmental or private research institutions, or positions in industries that highly value analytical thinking, such as finance or technology. Advancement opportunities often involve moving from postdoctoral or junior researcher roles to senior researcher, lead investigator, or tenured faculty appointments. Many mathematicians also collaborate on interdisciplinary projects, which can open doors to leadership roles or joint appointments with other departments. Building a robust publication record and gaining experience in grant writing can further support career growth in this field.

Do pure mathematics majors get jobs?

Pure mathematics majors can find employment in fields such as academia, data analysis, finance, and technology, often leveraging strong analytical and problem-solving skills. Many roles require additional training or advanced degrees, but a mathematics background provides a solid foundation for diverse career paths.

What can you do with a pure mathematics degree?

A pure mathematics degree prepares individuals for careers in research, academia, data analysis, cryptography, and finance. Graduates often work as mathematicians, statisticians, or data scientists, utilizing strong analytical, problem-solving, and programming skills. Advanced roles may require further specialization or certifications.

What does a pure mathematician do?

A pure mathematician researches and develops mathematical theories and concepts without immediate practical applications, focusing on areas such as algebra, analysis, geometry, and number theory. They often work in academic or research institutions, using logical reasoning and advanced mathematical tools to explore abstract problems and contribute to the foundational understanding of mathematics.

What are the most commonly searched types of Pure Mathematics jobs in California?

The most popular types of Pure Mathematics jobs in California are:

What are popular job titles related to Pure Mathematics jobs in California?

For Pure Mathematics jobs in California, the most frequently searched job titles are:

What job categories do people searching Pure Mathematics jobs in California look for?

The top searched job categories for Pure Mathematics jobs in California are:

What cities in California are hiring for Pure Mathematics jobs?

Cities in California with the most Pure Mathematics job openings:

Pure Mathematics jobs near you
Infographic showing various Pure Mathematics job openings in California as of August 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% In-person job distribution, with an average salary of $51,793 per year, or $24.9 per hour.

Senior Computer Vision Algorithm/Software Engineer

SAAZ Micro Inc

Camarillo, CA • On-site

$125K - $164K/yr

Full-time

Posted 8 days ago

Job description

SAAZ is seeking an exceptional Senior Computer Vision Algorithm & Software Engineer to architect and implement advanced processing pipelines for next-generation electro-optical and infrared (EO/IR) imaging systems.
This multidisciplinary role bridges theoretical research and high-performance software engineering, requiring hands-on expertise in image processing, computer vision, convolutional neural networks (CNNs), or spiking neural networks (SNNs) rather than traditional application software development alone. Operating with a high degree of autonomy, the successful candidate will hold a graduate degree-preferably a PhD-and possess the independent drive to conceptualize, design, and deploy sophisticated algorithms from scratch without direct supervision.
Working closely with Firmware, FPGA, Systems, and Product Engineering teams, you will drive algorithmic innovation for advanced camera products deployed in aerospace, defense, and commercial imaging, guiding developments from concept through hardware-software integration and production.
Key Responsibilities:
  • Algorithm Architecture & Conceptualization: Design, prototype, and refine advanced image processing and computer vision algorithms-including traditional image enhancement, noise reduction, and modern deep learning models (CNNs/SNNs)-tailored for EO/IR sensor architectures.

  • Autonomous End-to-End Implementation: Independently translate mathematical models and theoretical concepts into high-performance, maintainable software implementations without needing direct step-by-step supervision.

  • Cross-Functional System Integration: Collaborate closely with Firmware, FPGA, and Systems Engineering teams to optimize, port, and validatealgorithms on real-time target hardware and embedded camera processing platforms.

  • EO/IR Pipeline Optimization: Develop and tune edge-detection, feature extraction, non-uniformity correction (NUC), dynamic range expansion, object detection
    and tracking algorithms specialized for complex electro-optical and infrared environments.

  • Research & Feasibility Trade Studies: Conduct independent trade studies, literature reviews, and rapid prototyping to evaluate novel machine learning and spiking neural network (SNN) approaches for low-power or bandwidth-constrained imaging systems.

  • Verification & Testing Pipelines: Build robust simulation environments, ground-truth dataset collection methodologies, and automated testing frameworks to evaluate algorithm accuracy, latency, and performance edge cases.

  • Technical Documentation & Mentorship: Document mathematical formulations, algorithmic trade-offs, and software architectures to support production handover, system qualification, and intellectual property development.

Minimum / Required Qualifications:
  • Education & Experience: Master's degree in Electrical Engineering, Computer Science, Applied Mathematics, Optical Engineering, or a closely related field with 5+ years of hands-on algorithmic experience, or a Ph.D. with 2+ years of relevant research/industry experience.
  • Domain Expertise: Proven hands-on track record developing and deploying core image processing, computer vision, or neural network models (CNNs or SNNs). Pure application software development without signal processing or computer vision experience will not be considered.
  • EO/IR Pipeline Knowledge: Direct familiarity with physical imaging concepts and sensor data pipelines, such as non-uniformity correction (NUC), bad pixel replacement, dynamic range compression, or thermal/optical noise reduction.
  • Core Technical Stack: Proficiency in C/C++ and Python for rapid prototyping, algorithm implementation, and performance benchmarking.
  • Mathematical Foundations: Strong foundation in linear algebra, multi-variable calculus, spatial/frequency-domain filtering, and statistical signal processing.
  • Autonomous Execution: Demonstrated ability to drive projects independently from literature review and mathematical formulation through to functional code without daily supervision.

Preferred Qualifications:
  • Advanced Degree: Ph.D. focusing on Computer Vision, Spiking Neural Networks (SNNs), Neuromorphic Computing, or Infrared Image Processing.
  • Hardware-Aware Software Optimization: Experience adapting heavy algorithmic models or neural networks for resource-constrained platforms, such as embedded GPUs (NVIDIA Jetson), FPGAs, or specialized DSP architectures.
  • Advanced Neural Architectures: Hands-on research or deployment experience with Spiking Neural Networks (SNNs), event-based neuromorphic sensors, or ultra-low-latency event processing for edge execution.
  • Specialized EO/IR Algorithms: Background in real-time object detection/tracking, multi-sensor data fusion (EO/IR registration), or high dynamic range (HDR) image reconstruction.
  • Simulation & Frameworks: Expertise with deep learning and vision frameworks (e.g., PyTorch, OpenCV, TensorRT, LibTorch) alongside customized C++ execution pipelines.

Success Metrics:
  • Algorithms execute within defined latency, framerate, and real-time processing constraints.
  • CPU, GPU, and embedded memory utilization remain within target resource budgets.
  • Algorithms achieve specified precision, recall, and detection/tracking accuracy metrics across target EO/IR datasets.
  • Code passes performance, memory leak, and static analysis checks without critical warnings or errors.
  • Compliance with project coding, testing, and documentation standards.
  • Unit, integration, and ground-truth simulation tests successfully completed.
  • Seamless pipeline integration and data throughput achieved across cross-functional interfaces (Firmware, FPGA, host APIs).
  • Algorithmic robustness validated under adverse real-world conditions (e.g., thermal drift, low contrast, high dynamic range, atmospheric noise).

Apply