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 Hire
Shift
Shift 1 (United States of America)
Primary Location
US, California, Folsom
Additional Locations
US, California, Santa Clara
Posting 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.
Benefits
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 USD
The 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.
