AI Software Development Engineer
Company websiteintel.com (Intel, opens in new tab)
Base salary From $149,750
Employer-published annual base salary, USD. Advertised base range in Folsom, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationFolsom, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (37 min ago) · observed since
About this job
Job Details:
Job Description:
The Role and Impact
We are seeking a skilled AI Software Development Engineer to join our team in optimizing AI inference workloads for Intel GPUs. In this role, you will work across the full AI software stack, focusing on improving performance-critical GPU kernels, graph compilation flows, and inference runtimes. Your contributions will directly enhance the efficiency and scalability of modern AI workloads, helping unlock the full potential of Intel's AI technologies.
Business Group
As part of Intel's Software Group, you will join a team dedicated to delivering innovative software solutions that enable and enhance Intel's AI products. The group plays a pivotal role in developing tools, frameworks, and optimizations that empower developers worldwide, shaping the future of AI-driven applications and advancing Intel's mission to create world-changing technology.
Key Responsibilities
- Optimize AI inference workloads, such as Large Language Models (LLMs), multimodal models, and emerging generative AI applications, for Intel GPUs.
- Design, develop, and tune performance-critical GPU kernels and runtime components using C++, SYCL, Vulkan Compute, OpenCL, or similar parallel programming technologies.
- Develop and optimize graph compilation flows and compiler passes using technologies like MLIR, LLVM, or related frameworks.
- Identify and resolve performance bottlenecks across compiler, runtime, framework, and kernel layers.
- Profile, benchmark, and analyze AI workloads to validate performance improvements and guide optimization strategies.
- Collaborate with hardware, driver, compiler, and framework teams to drive hardware/software co-optimization.
- Contribute to and optimize open-source AI inference frameworks such as OpenVINO, llama.cpp, vLLM, PyTorch, or related ecosystems.
Qualifications:
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, with 4+ years of relevant industry experience, OR Master's degree with 3+ years, OR Ph.D. with no prior professional experience.
- Strong proficiency in C++ programming, debugging, and problem-solving.
- Solid understanding of GPU architectures, Graphics Device Driver, Firmware, AI accelerators, or parallel computing systems.
- Experience with performance analysis, profiling, and optimization for compute-intensive applications.
- Hands-on experience with modern neural network architectures and their execution on hardware accelerators.
Preferred Qualifications
- Experience optimizing end-to-end AI inference workloads in production environments.
- Familiarity with AI inference frameworks such as OpenVINO, PyTorch, TensorRT, ONNX Runtime, or similar technologies.
- Knowledge of neural network optimization techniques, including quantization, kernel fusion, and memory optimization.
- Experience across multiple layers of the AI software stack, including inference runtimes, graph compilers, and GPU kernels.
- Experience contributing to open-source software projects is a plus.
We're excited about the opportunity to work with individuals passionate about pushing the boundaries of AI innovation. If you're ready to make a meaningful impact and collaborate with a dynamic team, we encourage you to apply today.
Job Type:
Experienced HireShift:
Shift 1 (United States of America)Primary Location:
US, California, FolsomAdditional 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 Trust
N/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: $149,750.00-275,580.00 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.Source: Intel on Workday · View original posting (opens in new tab)
Pay in context
This role's base floor ($149,750) is above 25% of the 4,196 Software Engineering roles in California listed on this site; 1 other lists the same floor. Their median floor is $176,500; the middle half runs from $149,200 to $204,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingAI Software Development EngineerFrom $149,750
AI Developer Relations - Docs and Learning ExperienceFrom $149,750
Deep Learning Hardware EngineerFrom $149,750
Senior AI Software Development EngineerFrom $149,750
Senior Reliability PDK and TFM engineerFrom $149,600
Operations Research EngineerFrom $149,600
EDA Tool Software EngineerFrom $149,600
Chart as a table
| Role | Published base |
|---|---|
| AI Software Development Engineer (this listing) | From $149,750 |
| AI Developer Relations - Docs and Learning Experience | From $149,750 |
| Deep Learning Hardware Engineer | From $149,750 |
| Senior AI Software Development Engineer | From $149,750 |
| Senior Reliability PDK and TFM engineer | From $149,600 |
| Operations Research Engineer | From $149,600 |
| EDA Tool Software Engineer | From $149,600 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-11-05
Where this pay comes from
Location as the employer wrote it: US, California, Folsom • US, California, Santa Clara
Annual Salary Range for jobs which could be performed in the US: $149,750.00-275,580.00 USD
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
