Are you looking for an exciting job opportunity in the field of software engineering? Join us as a Software Engineer at our Bengaluru, Karnataka office, where you can leverage your experience and skills in a dynamic hybrid work environment. As a full-time role, you’ll be part of a forward-thinking team dedicated to innovation and excellence. For more details, please see the information provided below.
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Job Details
| Job Role | Software Engineer |
|---|---|
| Job ID | JR0265549 |
| Category | Software Engineering |
| Work Mode | Hybrid |
| Experience Level | Experienced |
| Full/Part Time | Full Time |
| Location | Bengaluru, Karnataka, India |
Attention : Read all criteria carefully and make changes in resume by adding relevent keywords so you will get the interview call otherwise you will loose opportunity.
Job Description
The AI Software Solutions Engineer (Kernel Dev) role at Intel is a highly specialized position focused on the analysis and optimization of deep learning (DL) and machine learning (ML) algorithms. As an engineer in this role, you will work with cutting-edge technologies and have the opportunity to shape the future of AI and ML on Intel hardware.
Responsibilities
Algorithm Optimization:
- Analyze and optimize DL and ML algorithms on current and next-generation Intel hardware and instruction sets.
- Ensure that algorithms are tailored to leverage the full capabilities of Intel processors, enhancing performance and efficiency.
Kernel and Algorithm Development:
- Design, develop, and optimize math kernels and algorithms specifically for Deep Learning accelerators.
- Utilize various compiler infrastructures to ensure that these kernels are highly efficient and effective.
Performance Profiling:
- Profile distributed algorithms to identify performance bottlenecks.
- Work closely with individual component teams to propose and implement solutions to these bottlenecks, ensuring optimal performance across the board.
Global Collaboration:
- Interact with a global implementation team, including deep learning researchers.
- Collaborate on defining cutting-edge solutions, ensuring that Intel remains at the forefront of AI and ML technology.
Qualifications
To be considered for this position, candidates must meet the following qualifications:
Educational Background:
- MTech/MS/Bachelor in Computer Science (CS), Electronics and Communication Engineering (ECE), or related fields.
Experience:
- Minimum of 4 years of relevant experience in optimizing software systems for CPUs and GPUs.
- Proven experience in vector processing and graph-based optimizations.
Skills:
Technical Skills:
- Strong background in statistics and applied mathematics, particularly as they relate to high-performance computing (HPC) and deep learning problems.
- Proficiency in coding with C++ and Python, as well as experience with low-level intrinsic.
Benchmarking:
- Experience with machine learning and deep learning benchmarking processes and tools is essential for evaluating and improving performance.
Soft Skills:
- Excellent communication skills, both verbal and written.
- Ability to work effectively in a dynamic, cross-geo, startup-like environment.
Inside this Business Group
The Data Center & Artificial Intelligence Group (DCAI) is integral to Intel’s ongoing transformation from a PC-centric company to one that powers the cloud and billions of smart, connected computing devices. DCAI plays a crucial role in:
- Cloud and Data Centers: Providing the foundational technologies that power data centers around the world.
- AI and 5G: Driving advancements in artificial intelligence and next-generation connectivity.
- High-Performance Computing: Delivering solutions that meet the demands of the most computationally intensive applications.
Posting Statement
Intel is committed to providing equal employment opportunities to all qualified applicants. This commitment is reflected in our posting statement, which ensures that all qualified applicants will receive consideration for employment without regard to:
- Race, color, or religion.
- Religious creed, sex, or 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
At Intel, we believe in rewarding our employees with a comprehensive compensation package that ranks among the best in the industry. Our benefits include:
- Competitive Pay: A salary structure that reflects your skills and experience.
- Stock and Bonuses: Opportunities to own a part of the company and share in its success.
- Health Programs: Comprehensive health coverage to ensure the well-being of our employees.
- Retirement Plans: Plans that help you prepare for your future.
- Vacation: Generous vacation policies to ensure you have the time you need to recharge.
How to Apply?
Apply here to join Intel and be part of an innovative team that is driving the future of AI and ML technology.
For more detailed information about our benefits, please visit our benefits page.
Important Notice
It has come to our attention that some individuals have received fake job interview letters ostensibly issued by Intel. These fraudulent letters invite recipients to attend interviews at Intel’s offices and require a monetary deposit to be eligible. Please be advised that these letters are not issued by Intel or any of its authorized representatives.
Intel Hiring Practices:
- Hiring at Intel is based purely on merit.
- Intel does not ask or require candidates to deposit any money.
Action Steps:
- We urge individuals interested in working for Intel to apply directly through Intel Careers and not to fall prey to unscrupulous elements.
Working Model
This role is 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. This flexible working arrangement is designed to support a healthy work-life balance, while also ensuring that business needs are met. In certain circumstances, the work model may change to accommodate specific business requirements.