SW Algo Engineer
Job Description
- Knowledge of GPU programming using CUDA or OpenCL.
- Expertise in MATLAB.
- Experience working in the Semiconductor or Medical imaging industry.
- Experience in managing teams, setting organizational priorities, and allocating resources.
- Lead research, design, development, and implementation of algorithmic modules.
- Perform algorithmic concept and feasibility for image processing algorithms.
- Demonstrate understanding of computer vision, machine learning, and deep learning algorithms for image analysis, pattern recognition, filtering, classification, and object detection.
- Prototype algorithm approaches to solve complex problems and integrate new algo solutions into products.
- Optimize algorithms to reduce computational cost and influence hardware requirements.
- Experience with machine learning frameworks like scikit-image, open-cv, sk-learn, TensorFlow, PyTorch, or Keras.
- Experience in unsupervised and supervised methods with feature extraction, segmentation, pattern recognition, and signal analysis for measurements.
- Strong background in computer vision, classical image processing, and DL technology.
- Expertise in C/C++ and Python.
- Ph.D. or Master’s in Computer Science/Engineering or similar fields with 5+ years of experience.
- Experience working with Matrix Organization.
- Willingness to travel to customers and different locations.
- Supportive work culture for learning, development, and career growth.
- Programs for health and wellbeing, including Employee Assistance Program, meditation, family support, and travel insurance.
- Competitive and comprehensive total rewards program.
- Free career development, mentoring programs, and technical/professional courses.
- Worldwide "Giving" program with employee donations, volunteering, and company matching.
Job ID
R2516822
Who We Are
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
What We Offer
Location: Bangalore,IND
You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.
Algorithm Developer
About Applied
Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future.
What You’ll Do
You will be responsible leading research, design, development and implementation of algorithmic modules. You will perform algorithmic concept and feasibility for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains.
Your key responsibilities will be
- Demonstrates understanding of computer vision and machine learning / deep learning algorithms for image analysis, pattern recognition, filtering, classification, and object detection.
- Prototyping algorithms approaches to solve complex problems and drive integration of new algo solutions to product.
- Algorithm optimization to reduce computational cost and influence hardware requirements.
- Experience with machine learning frameworks such as scikit-image, open-cv, sk-learn, TensorFlow, PyTorch, or Keras, especially in the context of image analysis.
- Experience in unsupervised and supervised method with feature extraction, segmentation, pattern recognition and signal analysis for measurements.
- Knowledge of GPU programming using CUDA or OpenCL (Good to have)
- Strong background in computer vision, classical image processing, and DL technology
- Expertise in C/C++, Python, MATLAB (Good to have)
- Academic background in Computer Vision; Deep Learning, Machine Learning, or Artificial Intelligence.
- Experience working in the Semiconductor or Medical imaging industry (Good to have).
- Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills.
- Experience in managing teams, sets organizational priorities and allocates resources (Good to have).
- Ph.D. or master’s in computer science/engineering or similar fields with 5+ years of experience
- Experience working with Matrix Organization
- Willingness to travel to customers and different locations
Education:
Master’s / Research background- Qualification preferred – Image/ Signal Processing, Computer Vison, Deep Learning
Years of Experience:
5- 10 Years
Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities.
Additional Information
Time Type: Full time
Employee Type: Assignee / Regular
Travel: Yes, 20% of the Time
Relocation Eligible: Yes
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
