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Remote Tensorflow Developer Jobs in Sunnyvale, CA

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Machine Learning Engineer

San Francisco, CA · Remote

Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

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Remote Tensorflow Developer information

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$20

$62

$95

How much do remote tensorflow developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote tensorflow developer in Sunnyvale, CA is $62.01, according to ZipRecruiter salary data. Most workers in this role earn between $47.40 and $75.91 per hour, depending on experience, location, and employer.

What is a remote Tensorflow developer?

A Remote TensorFlow Developer job involves designing, implementing, and optimizing machine learning models using TensorFlow while working from a remote location. Developers in this role typically collaborate with data scientists, engineers, and product teams to build AI-driven applications and improve model performance. Responsibilities may include data preprocessing, model training, deployment, and fine-tuning for scalability and efficiency. Strong knowledge of deep learning, neural networks, and cloud platforms is often required.

What are some typical challenges faced by remote Tensorflow developers, and how are these addressed?

Remote Tensorflow Developers often face challenges such as collaborating across different time zones, managing large datasets, and keeping up with rapidly changing machine learning technologies. These challenges are typically addressed through robust communication tools (like Slack or Zoom), using version control systems for code collaboration, and adopting efficient cloud-based workflows for data and model sharing. Teams may also conduct regular virtual stand-ups and knowledge-sharing sessions to stay aligned on projects and share learnings. Engaging in continuous learning and attending online workshops or conferences also helps remote developers stay updated and effective in their roles.

What are the key skills and qualifications needed to thrive as a remote Tensorflow developer, and why are they important?

To thrive as a Remote Tensorflow Developer, you need deep knowledge of machine learning concepts, strong proficiency in Python programming, and hands-on experience with Tensorflow framework. Experience with cloud platforms (such as AWS, GCP, or Azure), model deployment, and relevant Tensorflow Developer certification are highly valuable. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help developers stand out. These qualities are crucial for building robust machine learning solutions, efficiently collaborating with distributed teams, and delivering high-impact results in a remote setting.

What are popular job titles related to Remote Tensorflow Developer jobs in Sunnyvale, CA?

For Remote Tensorflow Developer jobs in Sunnyvale, CA, the most frequently searched job titles are:

What job categories do people searching Remote Tensorflow Developer jobs in Sunnyvale, CA look for?

The top searched job categories for Remote Tensorflow Developer jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Remote Tensorflow Developer jobs?

Cities near Sunnyvale, CA with the most Remote Tensorflow Developer job openings:

Remote Tensorflow Developer jobs near you
Infographic showing various Remote Tensorflow Developer job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 77% Full Time, 9% Part Time, and 14% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $128,990 per year, or $62 per hour.

Senior GPU Performance Software Engineer

Intel

Santa Clara, CA • On-site, Remote

$195K - $275K/yr

Full-time

Medical, Retirement, PTO

Posted 11 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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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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