1

Algorithmic Engineer Jobs (NOW HIRING)

Algorithm Developer

Santa Clara, CA · On-site

$161K - $221K/yr

Perform algorithmic C&F for an algorithmic module, including problem analysis, data gathering ... Working with SW engineering team to develop data pipeline / modeling pipeline that can be ...

Algorithm Developer

Santa Clara, CA · On-site

$184K - $253K/yr

You will perform algorithmic concept and feasibility for image processing algorithms, including ... GPU Programming like CUDA, and algorithm optimization and tuning skills are desired. * Working ...

The ideal candidate combines algorithmic depth (can reason through "why", not just implement ... Write clean, maintainable, scalable code following software engineering best practices * Apply ...

Algorithm engineer interns at Ambarella are responsible for developing highly efficient algorithms for our self-driving car and a wide variety of Ambarella's future products. Responsibilities:

Algorithm Developer

Santa Clara, CA · On-site

$161K - $221K/yr

Perform algorithmic C&F for an algorithmic module, including problem analysis, data gathering ... Working with SW engineering team to develop data pipeline / modeling pipeline that can be ...

Algorithm Developer

Santa Clara, CA · On-site

$131K - $180K/yr

Perform algorithmic C&F for an algorithmic feature, including problem analysis, data gathering ... Working with SW engineering team to develop data pipeline / modeling pipeline that can be ...

Algorithm Engineer

Milpitas, CA · On-site

$136K - $231K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... of algorithmic solutions to inspection systems at customer sites, including occasional ...

Algorithm Developer

Santa Clara, CA · On-site

$184K - $253K/yr

You will perform algorithmic concept and feasibility for image processing algorithms, including ... GPU Programming like CUDA, and algorithm optimization and tuning skills are desired. * Working ...

Algorithm Engineer

Milpitas, CA · On-site

$136K - $231K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... of algorithmic solutions to inspection systems at customer sites, including occasional ...

DSP Algorithm Engineer (System Level Testing)

Austin, TX · On-site

$141K - $165K/yr

Create novel stress tests, corner-case scenarios, and fault-injection methodologies to uncover algorithmic weaknesses. * Work closely with algorithm developers to define test requirements, acceptance ...

Algorithm Engineer

Milpitas, CA · On-site

$136K - $231K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... of algorithmic solutions to inspection systems at customer sites, including occasional ...

... algorithmic techniques, and refine the codebase to encourage reusability where needed to enable ... software and ML engineering, including testing, version control, code reviews, documentation ...

Mid-Senior Algorithm Engineer | Motion Planning & Decision Making Imagry is looking for a talented Algorithm Engineer (Mid-Senior level) to join our team in San Jose CA, US. In this role, you will ...

next page

Showing results 1-20

Algorithmic Engineer information

See salary details

$59.5K

$111.6K

$203K

How much do algorithmic engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for algorithmic engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior-level algorithmic engineers, especially those working in finance, technology, or specialized research roles, can earn $500,000 or more annually, often including bonuses and stock options. Achieving this level typically requires extensive experience, advanced skills in algorithms and programming, and working at top-tier companies or in high-demand industries.

What is the difference between Algorithmic Engineer vs Data Scientist?

AspectAlgorithmic EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related fields; programming skillsBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems; often in tech or finance industriesAnalyzes data to extract insights; works in tech, finance, healthcare, and more
Employer & Industry UsageTech companies, finance firms, R&D departmentsTech companies, consulting firms, research institutions

While both roles require strong programming and analytical skills, Algorithmic Engineers focus on designing and implementing algorithms for systems and applications, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in tech environments but serve different primary functions.

Which 5 jobs will survive AI?

Algorithmic engineers are likely to continue thriving as AI advances because they develop and optimize algorithms that underpin AI systems. Jobs requiring complex problem-solving, creativity, and human judgment—such as data scientists, AI ethicists, cybersecurity specialists, healthcare professionals, and software developers—are also expected to persist due to their reliance on nuanced understanding and adaptability beyond automation. These roles often involve skills in programming, critical thinking, and domain expertise that are less easily replaced by AI.

What does an algorithm engineer do?

An algorithm engineer designs, develops, and optimizes algorithms to solve complex problems and improve system performance. They often work with data structures, programming languages, and tools like Python or C++, and may focus on areas such as machine learning, data analysis, or software development. Their role involves analyzing requirements, testing algorithms, and ensuring efficiency in real-world applications.

What engineers make 300,000 a year?

Senior engineers in fields such as software, data engineering, and machine learning can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or in specialized roles. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and industry demand.
More about Algorithmic Engineer jobs
What cities are hiring for Algorithmic Engineer jobs? Cities with the most Algorithmic Engineer job openings:
What states have the most Algorithmic Engineer jobs? States with the most job openings for Algorithmic Engineer jobs include:
Infographic showing various Algorithmic Engineer job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.

Algorithm Developer

Amat

Santa Clara, CA • On-site

$161K - $221K/yr

Full-time

Re-posted 29 days ago


Job description

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

Salary:

$161,000.00 - $221,000.00

Location:

Santa Clara,CA

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.

Key Responsibilities

  • Develop & Evaluate data science modeling (incl. ML/DL) algorithms using complex time-series sensor data collected from Semi Equipment
  • Perform algorithmic C&F for an algorithmic module, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains
  • Develop executable data science solutions delivering differentiated insights to the engineering team
  • Working with SW engineering team to develop data pipeline / modeling pipeline that can be integrated with the Internal Applied platform
  • Fine tune algorithm performance, troubleshoot and resolve algorithm / modeling pipeline issues
  • Document algorithmic development, plan and accompany implementation, integration and testing of an algorithmic module
  • Conduct technical communication with colleagues from multi-teams under fast-paced environment from C&F to productization
  • Act as a technical tutor and instructor regarding own algorithmic modules. Guide algorithm developers working with him on same module

Minimum Qualifications

  • Master's degree with 6+ years of demonstrated achievement with hardware-oriented analytics
  • Strong knowledge of machine learning, deep learning or other statistical data analysis techniques, such as regression, time series analysis, hypothesis testing, classification, or clustering
  • Good understanding of domain knowledge including sensors, semiconductor process, etc.
  • Experience in data extraction & cleaning, signal processing, and visualization for large datasets
  • Excellent programming skills including python, data science packages, React, SQL and more
  • Able to conduct technical communication with colleagues from globe

Business Expertise

  • PhD degrees with 3+ years demonstrated achievement with time-series data analysis of machinery tools
  • Hardware or process engineering experience in semiconductor industry
  • Experience developing data science methods for manufacturing problems

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

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. 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.

In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.