Senior Algorithm Manager – (M5)

Who We Are 

Applied Materials is the 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 work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future.  

At Applied, we prioritize your well-being and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family.  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. 

What You’ll Do 

As a senior algorithm manager, you will be responsible leading research, design, development and implementation & proliferation accompanying of algorithmic solutions in accordance with project budgets and time schedules. You will guide team during construction and monitoring of work plans.

Your key responsibilities will be

• Demonstrates comprehensive understanding of computer vision and deep learning algorithms for image analysis, pattern recognition, metrology, 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.

You will be a great fit if you have

• Strong background in computer vision, image processing, and DL technology
• Expertise in C/C++, Python and working experience with Tensor Flow, Pytorch or similar framework
• Academic background in Computer Vision; Deep Learning, Machine Learning, or Artificial Intelligence.
• Experience working in Semiconductor industry.
• Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills.
• Experience in managing teams for 5 years, sets organizational priorities and allocates resources.
• Ph.D. or Master’s in computer science/engineering or similar fields with 10+ years of experience.

Position requires understanding of Applied Materials global Standards of Business Conduct and compliance with these standards at all times. This includes demonstrating the highest level of ethical conduct reflecting Applied Materials’ core values.

Qualifications

Education:

Master’s Degree: Computer Engineering

Skills:

Certifications:

Languages:

Years of Experience:

4 – 7 Years

Work Experience:

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

No

U.S. Salary Range:

$202,500.00 – $278,500.00

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All 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.