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Remote Mathematical Programming Jobs in Santa Clara, CA

Hitachi

Senior Optimization Engineer

Santa Clara, CA · Remote

$122K - $168K/yr

Engineering & Science Job Schedule: Full time Remote: No At Hitachi Energy, we are driving the ... As a Senior Optimization Engineer, you will work at the intersection of advanced mathematics ...

Inficare Technologies

GPU Solution Architect

Santa Clara, CA · On-site +1

$74 - $97.50/hr

... Engineering, Physics, Mathematics, or equivalent experience Preferred Skills * Real-world ... Additional remote locations accepted in WA, OR, and TX. Occasional onsite visits to the client ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick ...

Uber Technologies, Inc.

Software Engineer

Sunnyvale, CA · On-site +1

... Mathematics, Physics, or related field, and five years of experience in the job offered or in a ... Unless approved for full remote work, employees must spend at least 50% of their time in-office.

Uber Technologies, Inc.

Software Engineer

Sunnyvale, CA · On-site +1

... Mathematics, Physics, or related field and 3 years of experience in the job offered or related ... Unless approved for full remote work, employees must spend at least 50% of their time in-office.

Uber Technologies, Inc.

Software Engineer

Sunnyvale, CA · On-site +1

... Mathematics, Physics, or related field, followed by 5 years of progressive, post-baccalaureate ... Unless approved for full remote work, employees must spend at least 50% of their time in-office.

Uber Technologies, Inc.

Software Engineer

Sunnyvale, CA · On-site +1

... Mathematics, Physics, or related field and 5 years of progressive, post-baccalaureate experience in ... Unless approved for full remote work, employees must spend at least 50% of their time in-office.

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All JobsMathematical Programming JobsRemote Mathematical Programming JobsRemote Mathematical Programming Jobs in Santa Clara, CA

Remote Mathematical Programming information

See Santa Clara, CA salary details

$98.1K

$149.2K

$200.8K

How much do remote mathematical programming jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote mathematical programming in Santa Clara, CA is $149,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $168,500.00 per year, depending on experience, location, and employer.

What is remote mathematical programming?

Remote mathematical programming involves solving mathematical optimization problems and developing algorithms while working from a location outside of a traditional office, often from home. Professionals in this field use mathematical models and computer programming to find optimal solutions for complex problems in areas like logistics, finance, engineering, and data science. Remote work allows mathematical programmers to collaborate with teams and clients globally, utilizing tools for communication, code sharing, and project management. This setup requires strong analytical skills, proficiency in programming languages like Python or MATLAB, and the ability to work independently.

What are the key skills and qualifications needed to thrive as a remote mathematical programmer?

To excel as a Remote Mathematical Programmer, you need a strong background in mathematics, optimization theory, and programming, often supported by a degree in mathematics, computer science, or engineering. Familiarity with technical tools like Python, MATLAB, R, and mathematical optimization libraries such as Gurobi or CPLEX is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication skills are valuable soft skills in this role. These competencies are crucial for designing efficient algorithms, collaborating across remote teams, and delivering accurate solutions to complex mathematical challenges.

What are some common challenges faced by professionals in remote mathematical programming roles, and how can they be addressed?

One of the main challenges in remote mathematical programming is effective communication, especially when collaborating on complex models with team members in different locations. Ensuring clarity in documentation and maintaining regular check-ins can help mitigate misunderstandings. Another challenge is staying updated with the latest mathematical optimization tools and software, as advancements happen rapidly; dedicating time for continuous learning can be invaluable. Additionally, remote professionals may face difficulties in accessing high-performance computing resources, so it's important to familiarize yourself with cloud-based solutions provided by your organization.

What are popular job titles related to Remote Mathematical Programming jobs in Santa Clara, CA?

For Remote Mathematical Programming jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Remote Mathematical Programming jobs in Santa Clara, CA look for?

The top searched job categories for Remote Mathematical Programming jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Mathematical Programming jobs?

Cities near Santa Clara, CA with the most Remote Mathematical Programming job openings:

Remote Mathematical Programming jobs near you
Infographic showing various Remote Mathematical Programming job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% Internship, 76% Full Time, 17% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $149,190 per year, or $71.7 per hour.

Senior GPU Performance Software Engineer

Intel

Santa Clara, CA • On-site, Remote

$195K - $275K/yr

Full-time

Medical, Retirement, PTO

Posted 9 days ago

Key responsibilities

  • Develop high-performance GEMM, convolution, and attention kernels for AI workloads

  • Implement fusion and memory-traffic optimizations to maximize hardware utilization

  • Build analytical and empirical performance models for kernel dispatch and tuning

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

18th of 161 rated electronics manufacturers

Job description

Job Details:Job Description: 

About the Role

The Software and AI (SAI) organization is seeking a highly skilled software engineer to contribute to the development and low-level optimization ofoneDNN, a complex, cross-platform, open-source performance library that serves as the foundation for deep learning applications (github.com/uxlfoundation/oneDNN).
Please Note:This is a low-level software engineering and hardware-acceleration role. It does not involve building, training, or tuning machine learning models. Instead, you will focus on developing highly optimized math primitives, parallel algorithms, and GPU kernels that power industry-leading AI frameworks (such as OpenVINO, TensorFlow, PyTorch, and ONNX Runtime) on Intel hardware.
Key Responsibilities
Kernel Development and Architecture
  • Develop high-performance GEMM, convolution, and attention kernels for AI workloads
  • Design scalable JIT and codegen infrastructure for GPU kernel generation
Low-Level Optimization
  • Implement fusion and memory-traffic optimizations to maximize hardware utilization
  • Optimize mixed-precision and quantized execution paths (e.g., BF16, FP16, INT8, FP8, FP4, etc.)
Performance Modeling and Profiling
  • Build analytical and empirical performance models for kernel dispatch and tuning
  • Profile and eliminate performance bottlenecks across oneDNN GPU primitives and runtime paths
Hardware and Software Co-Design
  • Co-design GPU primitives and kernel architectures for next-generation Intel GPUs
  • Partner with hardware and compiler teams to shape future accelerator capabilities and software stacks
Infrastructure and Validation
  • Improve validation, benchmarking, and CI infrastructure for performance-critical GPU workloads
Why Join Us
Massive Scale
  • Work on a global, high-impact open-source library that scales AI performance across millions of devices worldwide
Cutting-Edge Hardware
  • Get early access to and influence the software stack for Intel's roadmap of next-generation discrete GPUs
Expert Collaboration
  • Work alongside industry-leading experts in GPU compilers, hardware architecture, and performance libraries
Total Rewards
  • Enjoy a competitive package including stock programs, quarterly bonuses, robust healthcare, and highly flexible hybrid/remote working options
What We're Looking For
To be successful in this role, you should demonstrate the following professional traits:
  • A strong ownership mindset - you take initiative on complex, ambiguous technical problems and drive them to resolution
  • A collaborative approach - you work effectively across hardware, compiler, and framework teams to align on shared technical goals
  • A performance-driven curiosity - you are motivated by squeezing every cycle out of hardware and continuously seek deeper understanding of low-level systems
Qualifications:
Minimum Qualifications
  • Education:BSc, MSc, or PhD in Computer Science, Computer Engineering, Mathematics, Physics, or a highly technical related field
  • Core Language:5+ years of professional software development experience with expert-level modern C++
  • Performance Optimizations:2+ years of hands-on experience in programming and kernel optimization on GPUs (via SYCL/DPC++, OpenCL, CUDA, or HIP), or at least 5+ years of similar low-level performance optimization experience on CPUs
  • Hardware Architecture:Strong foundations in computer architecture, cache hierarchies, memory subsystems, and parallel programming paradigms (e.g., multi-threading, SIMD/vectorization)
Preferred Qualifications
  • Math Libraries:Experience developing high-performance math libraries (e.g., GEMM, convolution, reduction, or FFT kernels)
  • Low-Level Tuning:Hands-on experience with GPU assembly-level tuning or compiler optimization
  • Parallel APIs:Familiarity with parallel programming APIs such as OpenMP or oneTBB
  • AI Workload Context:Basic understanding of deep learning primitives (e.g., forward/backward passes) to understand how library code is utilized by upstream frameworks
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, California, Santa ClaraPosting 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: $195,200.00-275,580.00 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.

What Intel employees say

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Benefits

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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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