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Algorithm Calibration Engineer Jobs (NOW HIRING)

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How much do algorithm calibration engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for algorithm calibration engineer in the United States is $41.87, according to ZipRecruiter salary data. Most workers in this role earn between $35.34 and $44.71 per hour, depending on experience, location, and employer.

What does an algorithm calibration engineer do?

An Algorithm Calibration Engineer is responsible for adjusting and fine-tuning algorithms to ensure they perform accurately and reliably in real-world scenarios. This role involves analyzing data, developing calibration methods, and validating algorithm performance against established benchmarks. They often work closely with software developers, data scientists, and hardware engineers to optimize system outputs. Their work is critical in industries like automotive, robotics, and electronics, where precise algorithm behavior is essential for safety and functionality.

What are some common challenges faced by algorithm calibration engineers when working with large-scale data sets?

Algorithm Calibration Engineers often encounter challenges such as handling noisy or incomplete data, ensuring the scalability of calibration methods, and maintaining model accuracy across diverse operational conditions. Collaborating with data scientists, software engineers, and domain experts is essential to validate results and refine calibration processes. Additionally, keeping up with advancements in machine learning techniques and tools can be vital for optimizing calibration workflows and ensuring robust algorithm performance.

What are the key skills and qualifications needed to thrive as an algorithm calibration engineer, and why are they important?

To thrive as an Algorithm Calibration Engineer, you need a solid background in mathematics, statistics, and control systems, usually supported by a degree in engineering, computer science, or a related field. Experience with data analysis tools (like MATLAB or Python), calibration software, and familiarity with embedded systems or automotive diagnostic tools is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with cross-functional teams and interpreting complex data. Mastering these skills ensures precise algorithm tuning, system performance optimization, and reliable product outcomes.

What are popular job titles related to Algorithm Calibration Engineer jobs?

For Algorithm Calibration Engineer jobs, the most frequently searched job titles are:

Infographic showing various Algorithm Calibration Engineer job openings in the United States as of September 2026, with employment types broken down into 78% Full Time, 3% Temporary, and 19% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $87,099 per year, or $41.9 per hour.

Camera Control Systems Calibration Engineer

Mountain View, CA • On-site

Google Inc.
Software Development • 10K+ employees

Other

Re-posted 3 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies


Job description

Camera Control Systems Calibration Engineer

Google Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

  • Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Physics, or equivalent practical experience.
  • 2 years of experience with mechatronic system control design.
  • 2 years of experience programming in Python.
Preferred qualifications:
  • Master’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Physics, or equivalent practical experience.
  • Experience with advanced actuator driving and sensing technologies.
  • Experience with camera contract manufacturers and in vendor management.
  • Experience with real-time control implementations on embedded hardware (e.g., MCUs, FPGAs).
  • Proficiency in C/C++ and Python software development, including familiarity with Git/version control systems, peer code reviews, and structured software development lifecycle processes.
About the job

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

  • Design and analyze camera actuator's control systems.
  • Collaborate with cross-functional teams to define relevant figures of merits and to assess their user impact for both production and new technology cameras. Evaluate the correlation between Fast Outcome Metrics (FOMs) and user impact. Propose meaningful specification limits, taking into account assembly tolerance and metrology limitations.
  • Collaborate with the vendors to understand their current capabilities and drive them for improvement; to ensure correct implementation of tests and calibrations; to thoroughly examine the factory data and identify anomalies.
  • Conduct lab validation and troubleshooting, accurately and rigorously characterizing the actuator hardware performance quantitatively and qualitatively. Develop new test equipment and algorithms.
  • Develop automated frameworks for measurement and data analysis using Python and C++ to enhance calibration and validation efficiency.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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