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Performance Engine Tuning Jobs in California (NOW HIRING)

Sr. Cloud Engineer

Redwood City, CA · On-site

$68.25 - $91.25/hr

... performance tuning, debugging, metrics measurement, security, resilient design and disaster ... show engine innodb status;" and working knowledge of admin tools such as monyog. * The ability to ...

... orchestration engine. Advanced Retry Policies: Knowledge of jitter, exponential backoff, and ... Strong production debugging and performance tuning skills. Preferred Qualifications * Experience in ...

... orchestration engine. Advanced Retry Policies: Knowledge of jitter, exponential backoff, and ... Strong production debugging and performance tuning skills. Preferred Qualifications * Experience in ...

... orchestration engine. Advanced Retry Policies: Knowledge of jitter, exponential backoff, and ... Strong production debugging and performance tuning skills. Preferred Qualifications * Experience in ...

Sr. Cloud Engineer

Redwood City, CA

$68.25 - $91.25/hr

... performance tuning, debugging, metrics measurement, security, resilient design and disaster ... show engine innodb status;" and working knowledge of admin tools such as monyog. * The ability to ...

... orchestration engine. Advanced Retry Policies: Knowledge of jitter, exponential backoff, and ... Strong production debugging and performance tuning skills. Preferred Qualifications * Experience in ...

... orchestration engine. Advanced Retry Policies: Knowledge of jitter, exponential backoff, and ... Strong production debugging and performance tuning skills. Preferred Qualifications * Experience in ...

... orchestration engine. Advanced Retry Policies: Knowledge of jitter, exponential backoff, and ... Strong production debugging and performance tuning skills. Preferred Qualifications * Experience in ...

... orchestration engine. Advanced Retry Policies: Knowledge of jitter, exponential backoff, and ... Strong production debugging and performance tuning skills. Preferred Qualifications * Experience in ...

... orchestration engine. Advanced Retry Policies: Knowledge of jitter, exponential backoff, and ... Strong production debugging and performance tuning skills. Preferred Qualifications * Experience in ...

Senior Product Manager, Avatar Movement

San Mateo, CA · On-site

$144K - $190K/yr

Engage deeply with the Roblox developer community to understand their needs for tuning, customizing ... strict mobile performance budgets, proprietary engine limits) while still driving meaningful ...

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Performance Engine Tuning information

See California salary details

$108.1K

$123.4K

$137.2K

How much do performance engine tuning jobs pay per year?

As of Jun 21, 2026, the average yearly pay for performance engine tuning in California is $123,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $130,800.00 per year, depending on experience, location, and employer.

What does a typical day look like for someone working in Performance Engine Tuning?

A typical day for a Performance Engine Tuning specialist involves assessing customer vehicles, performing engine diagnostics, calibrating ECU settings, and utilizing dynamometer testing equipment to validate performance improvements. You may collaborate closely with other technicians, service advisors, and occasionally directly with clients to discuss performance goals and modifications. The role requires a blend of hands-on adjustments and computer-based tuning, with an emphasis on both technical expertise and precision. Over time, you may also be involved in researching new tuning techniques and staying updated with advancements in automotive technology to ensure optimal results for a wide range of vehicles.

What is a Performance Engine Tuning job?

A Performance Engine Tuning job involves optimizing an engine's performance by adjusting parameters such as fuel injection, ignition timing, and air-to-fuel ratio. Tuners use specialized software and tools to modify the engine control unit (ECU) for better horsepower, torque, and efficiency. This role requires knowledge of engine mechanics, diagnostics, and aftermarket modifications. Tuners work with various vehicles, from daily drivers to high-performance race cars, ensuring they run efficiently and safely.

What are the key skills and qualifications needed to thrive in the Performance Engine Tuning position, and why are they important?

To thrive in Performance Engine Tuning, you need a solid background in automotive mechanics, internal combustion engine theory, and hands-on experience with diagnostic and tuning procedures. Familiarity with engine management systems, ECU programming tools, and performance software (such as Dynojet or HP Tuners) is typically required, along with relevant technical certifications. Strong analytical thinking, attention to detail, and effective communication are valuable soft skills in this field. These competencies are crucial for accurately optimizing engine performance, troubleshooting issues, and conveying technical information to clients or team members.

What are the most commonly searched types of Performance Engine Tuning jobs in California? The most popular types of Performance Engine Tuning jobs in California are:
What are popular job titles related to Performance Engine Tuning jobs in California? For Performance Engine Tuning jobs in California, the most frequently searched job titles are:
What job categories do people searching Performance Engine Tuning jobs in California look for? The top searched job categories for Performance Engine Tuning jobs in California are:
Software Engineer (AML), AI & Data Platforms (AiDP)

Software Engineer (AML), AI & Data Platforms (AiDP)

Apple

Sunnyvale, CA

$136K - $163K/yr

Other

Posted 13 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 662 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Role Number: 200667037-3956

Summary

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

Description

As a Machine Learning Engineer, you will work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apple’s products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. There are massive opportunities for you deliver impactful influences to Apple.

Minimum Qualifications

  • BS in Computer Science or related field or equivalent.

  • 3+ years of machine learning engineering experience in feature engineering, model training, model serving, model monitoring and model refresh management.

  • Experience developing AI/ML systems at scale in production or in high-impact research environments.

  • Passionate about computer vision, natural language processing, especially in LLMs and Generative AI systems.

  • Knowledge with the common frameworks and tools such as PyTorch or TensorFlow.

Preferred Qualifications

  • Experience in Anomaly detection and forecasting & related methodologies

  • Experience and proficiency in python & writing efficient SQLs.

  • Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment.

  • Proven experience with transformer models such as BERT, GPT etc., and a proven understanding of their underlying principles is a plus

  • Data Visualization Tools: Proficient in data visualization, with experience in software such as Superset, Streamlit, Tableau, Business Objects, and Looker


What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976