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Optimization Engineer Jobs in Texas (NOW HIRING)

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$37

$55

$76

How much do optimization engineer jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for optimization engineer in Texas is $55.57, according to ZipRecruiter salary data. Most workers in this role earn between $40.29 and $68.51 per hour, depending on experience, location, and employer.

What jobs will boom in 2026?

Optimization engineers are expected to see increased demand as companies focus on improving efficiency through data analysis, automation, and machine learning. Skills in programming, statistical modeling, and familiarity with tools like Python or MATLAB will be valuable, and roles may involve working in technology, manufacturing, or logistics sectors.

What is the difference between Optimization Engineer vs Data Analyst?

AspectOptimization EngineerData Analyst
Required CredentialsBachelor's in Engineering, Mathematics, or related field; often certifications in optimization or data analysisBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentEngineering teams, manufacturing, logistics, or software developmentBusiness, finance, marketing, or healthcare sectors
Employer & Industry UsageManufacturing, tech, logistics, supply chainFinance, marketing, healthcare, consulting

Optimization Engineers focus on improving processes and systems through mathematical modeling and algorithms, often working in technical environments. Data Analysts interpret data to support business decisions, typically working with data visualization and reporting tools. While both roles analyze data, Optimization Engineers emphasize process optimization, whereas Data Analysts focus on insights and reporting.

What are Optimization Engineers?

Optimization Engineers are professionals who analyze, design, and implement solutions to improve the efficiency, performance, and cost-effectiveness of systems, processes, or products. They use mathematical models, data analysis, and simulation tools to identify areas for improvement and develop strategies to achieve optimal results. These engineers work across various industries, including manufacturing, technology, energy, and logistics, to help organizations maximize output while minimizing resources and waste.

What are the key skills and qualifications needed to thrive as an Optimization Engineer, and why are they important?

To thrive as an Optimization Engineer, you need a solid background in mathematics, data analysis, and engineering principles, often supported by a degree in engineering, mathematics, or a related field. Familiarity with optimization software (such as Gurobi, CPLEX, or MATLAB), programming languages like Python, and data modeling tools is typically required. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are crucial for developing efficient solutions, collaborating with cross-functional teams, and driving continuous improvement in complex systems.

What does an optimization engineer do?

An optimization engineer analyzes and improves processes, systems, or algorithms to increase efficiency, reduce costs, or enhance performance. They often use mathematical modeling, data analysis, and tools like MATLAB or Python to develop solutions and may work in industries such as manufacturing, logistics, or software development.

How does an Optimization Engineer typically collaborate with other departments to implement solutions?

Optimization Engineers often work closely with cross-functional teams such as production, operations, and data analysis. They collaborate by gathering input on current processes, identifying bottlenecks, and proposing data-driven improvements. Regular meetings and clear communication are crucial to ensure that proposed optimizations are practical and align with business goals. By involving stakeholders from various departments, Optimization Engineers help facilitate smoother implementation and ensure that solutions are sustainable and well-integrated.

What engineers make $500,000?

Senior engineers in fields such as software, petroleum, and aerospace engineering can earn $500,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in large companies or high-demand industries.

What Is Optimization Engineering?

The job duties of an optimization engineer focus on taking an existing design and improving making it stronger, fast, more efficient, or more durable. Career qualifications for an optimization engineer include a bachelor’s or master’s degree in engineering and years of field experience through internships or similar positions. Strong analytical and research skills are important for this job, as well as a strong background in advanced mathematics.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, and systems engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Roles often require strong technical expertise, certifications, and leadership responsibilities.
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Optimization Engineer jobs near you
Infographic showing various Optimization Engineer job openings in Texas as of June 2026, with employment types broken down into 85% Full Time, 10% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $115,587 per year, or $55.6 per hour.
SoC Power Analysis and Optimization Engineer

SoC Power Analysis and Optimization Engineer

Apple

Austin, TX

$181K - $318K/yr

Full-time

Medical, Dental, Retirement

Posted 27 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

As part of our Silicon Engineering group, you will take imaginative and revolutionary ideas and determine how to turn them into reality! You and your team will apply engineering fundamentals and start from scratch if needed, bringing forward-thinking ideas to the real world. Join us, and you will help design products that bring to our customers experiences they’ve never before envisioned. In this highly visible role, you will be responsible for SOC simulation, optimization and modeling.
Description
The main responsibility of this role is to drive the SOC power simulation, optimization and modeling.
• Work with cross functional teams, including architecture, RTL and physical design teams, to determine the interesting use-cases to simulate power, to provide power projections and targets for the future projects, and to improving the SOC power efficiency
• Working with SOC power team members to drive power analysis and optimization tasks, improving the efficiency with automation and GenAI/LLM approaches.
• Explore new methodology to analyze the power data, create power metrics to identify the optimization opportunities, drive automated approach to improve SOC power efficiency across IPs
• Collaborate cross-functional teams to deploy the power optimization to improve SOC power, review results, improve the methodology on efficiency, runtime, and support boarder scope of designs.
Preferred Qualifications
Familiarity with ASIC power analysis and optimization
Familiarity with machine learning algorithms and programming
Familiarity with Verilog and System Verilog.
Familiarity with SOC design flow and methodology
Familiarity with scripting in Python.
Familiarity computer architecture, logic and circuits design
Familiarity signal processing is a plus
Silicon power measurement experience is a plus
SOC power modeling, low power design and power optimization experience is a plus
Strong communication skills are a pre-requisite as the candidate will interface with a lot of different groups
Minimum Qualifications
A minimum of a bachelor's degree in relevant field and a minimum of 10 years of relevant industry experience.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

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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

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