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Optimization Jobs (NOW HIRING)

Optimization Engineer

$217K - $237K/yr

The Optimization Engineer will provide technical leadership in the creation of a programmatic optimization platform that transforms real-time data, forecasting models, and asset intelligence into ...

Optimization Engineer

Charleston, WV · Remote

$217K - $237K/yr

The Optimization Engineer will provide technical leadership in the creation of a programmatic optimization platform that transforms real-time data, forecasting models, and asset intelligence into ...

The Optimization Tech , working under limited supervision, is responsible for analyzing real-time data through Xspoc, SCADA monitoring and optimizing well performance. This role collaborates with ...

The Optimization Tech , working under limited supervision, is responsible for analyzing real-time data through Xspoc, SCADA monitoring and optimizing well performance. This role collaborates with ...

Optimization Engineer

San Jose, CA · On-site

$130K - $200K/yr

Efficient's Optimization Engineers optimize and benchmark applications, libraries, and kernels for the world's most energy-efficient programmable processor (the "Fabric"). In this role, you will take ...

We are looking for an Optimization Engineer located in Midland, TX . This is your opportunity to join a global technology company, driving energy innovation for a balanced planet. What's in it For ...

We are looking for an Optimization Engineer located in Midland, TX . This is your opportunity to join a global technology company, driving energy innovation for a balanced planet. What's in it For ...

The Fleet Optimization Specialist is responsible for optimizing the companys fleet schedule and for assigning all Jet Linx Member flights to in-fleet or off-fleet aircraft, while paying specific ...

Voyage Optimization Specialist

Chicago, IL · On-site

$95K - $177K/yr

Voyage Optimization Specialist The Voyage Optimization Specialist plays a key execution-focused role in enhancing voyage profitability across the shipping fleet through real-time voyage optimization ...

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Optimization information

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$40

$59

$81

How much do optimization jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for optimization in the United States is $59.65, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $73.56 per hour, depending on experience, location, and employer.

What is an optimization job?

An optimization job involves analyzing and improving processes, systems, or performance to increase efficiency and effectiveness. Roles often require skills in data analysis, problem-solving, and familiarity with tools like Excel or specialized software. These jobs are common in fields such as operations, marketing, and supply chain management.

What hot tech job pays $775 000?

High-level roles in technology, such as senior software engineers, data scientists, or machine learning engineers, can reach salaries of $775,000 or more, especially with extensive experience, specialized skills, and stock options. Executive positions like CTOs or chief data officers in large companies may also earn compensation in this range.

What jobs use optimization?

Optimization is used in a variety of jobs including operations research analysts, data scientists, supply chain managers, and financial analysts. These roles involve improving processes, algorithms, or strategies to increase efficiency, reduce costs, or maximize outcomes, often utilizing tools like mathematical modeling, statistical analysis, and specialized software.

What are optimization jobs?

Optimization jobs refer to roles that focus on improving systems, processes, or products to achieve the best possible performance, efficiency, or outcomes. These positions can be found in various industries, including engineering, data science, logistics, and business operations. Professionals in optimization analyze data, identify inefficiencies, and develop solutions using mathematical models, algorithms, or process improvements. Their goal is to maximize value while minimizing costs or resource use. Common job titles in this field include Optimization Engineer, Data Optimization Analyst, and Operations Research Analyst.

What is the difference between Optimization vs Data Analyst?

AspectOptimizationData Analyst
Required CredentialsOften requires degrees in mathematics, statistics, or related fields; certifications like Google Data Studio or Six SigmaTypically requires degrees in statistics, computer science, or related fields; certifications like Microsoft Excel or Tableau
Work EnvironmentPrimarily analytical, project-based, often in marketing, e-commerce, or manufacturingData-driven, reporting-focused, in various industries including finance, healthcare, and tech
Employer & Industry UsageUsed by companies aiming to improve processes, efficiency, and performanceUsed by organizations to interpret data, generate reports, and support decision-making

While both roles involve data analysis, Optimization focuses on improving processes and performance through analytical techniques, whereas Data Analysts primarily interpret data and generate reports to inform business decisions.

What jobs pay 4000 a week without a degree?

In the field of optimization, high-paying roles such as freelance consultants, digital marketers, or sales managers can earn around $4,000 weekly without a formal degree, often relying on experience, skills, and certifications. These jobs typically require strong analytical abilities, proficiency with relevant tools, and a results-driven approach, with some roles offering flexible schedules and remote work options.

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

To thrive as an Optimization Specialist, you need strong analytical skills, a background in mathematics or engineering, and experience with data-driven decision-making. Familiarity with optimization software (such as Gurobi or CPLEX), programming languages like Python or R, and relevant certifications in operations research or analytics are typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting results and collaborating with stakeholders. These skills and qualities are crucial for identifying optimal solutions, improving efficiency, and delivering measurable business value.

What are some common challenges faced by professionals in optimization roles, and how can they be addressed?

Professionals in optimization roles often encounter challenges such as dealing with incomplete or noisy data, balancing multiple and sometimes conflicting objectives, and ensuring that solutions are scalable for real-world implementation. Addressing these challenges requires strong analytical skills, collaboration with domain experts, and the ability to communicate complex concepts to non-technical stakeholders. Leveraging advanced tools and staying updated with the latest optimization techniques can also enhance problem-solving capabilities and contribute to project success.
More about Optimization jobs
What cities are hiring for Optimization jobs? Cities with the most Optimization job openings:
What are the most commonly searched types of Optimization jobs? The most popular types of Optimization jobs are:
What states have the most Optimization jobs? States with the most job openings for Optimization jobs include:
What job categories do people searching Optimization jobs look for? The top searched job categories for Optimization jobs are:
Infographic showing various Optimization job openings in the United States as of July 2026, with employment types broken down into 7% Internship, 80% Full Time, and 13% Part Time. Highlights an 53% In-person, and 47% Remote job distribution, with an average salary of $124,067 per year, or $59.6 per hour.
Optimization Engineer

$217K - $237K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 12 days ago


Job description

We're a team of friends bound together by a mission to preserve our planet for future generations through innovative energy solutions and modern infrastructure. Intersect develops, constructs, and operates the most ambitious power and data center infrastructure in the country by co-locating industrial demand with dedicated gas and renewable power generation.
Intersect was acquired by Google in March 2026 and operates as an independent subsidiary. We are developing and constructing multiple gigawatts of energy and data center projects in the U.S., enabling more data center and generation capacity to come online faster. We're on an aggressive growth trajectory and looking for people hungry to tackle the largest energy challenges on the planet.
Location & Team Gatherings
Intersect has been a fully flexible workplace since its founding in 2016. We've been very intentional about the way we do things. We are not work-from-home, hybrid, or in-office - we are any and all of those options! Deepening social connections and offering shared experiences is a cornerstone of the way we work. We connect as a team at our Team Week experiences four times a year and at our recently established Hub locations - SF Bay Area, NYC Metro Area, NY; Denver, CO; Austin, TX; Calgary, AB; and Toronto, ON.
We are currently looking for candidates located within 60 miles of any of the listed hubs to foster more in-person connections while maintaining our flexible remote culture.
About This Role
Intersect is building the integrated energy infrastructure that the future demands, and this role sits at the center of that mission. The Optimization Engineer will provide technical leadership in the creation of a programmatic optimization platform that transforms real-time data, forecasting models, and asset intelligence into automated ERCOT and gas market decisions.
This role reports to the Optimization Analytics Lead and delivers long-term portfolio value by enabling sophisticated, reliable optimization across a diverse mix of storage, solar, wind, thermal generation, and load assets. You will partner closely with trading, engineering, and operations teams to drive performance and scalability.
Team Overview
The Origination & Trading team is responsible for Intersect's revenue generation through long-term contracting on the Origination side and market optimization and short-term hedging on the Trading side. This team plays a critical role in advancing Intersect's mission by translating asset capabilities and market opportunities into durable financial performance through data-driven decision-making and operational excellence.
What You'll Do
Build the Optimization Engine that Drives Intersect's GW-Scale Microgrids
  • Design, implement, and maintain production code for optimization, bidding, simulation, and forecasting workflows.
  • Develop orchestration frameworks to enable parallelization, reliability, and reproducibility.
  • Guide technical decisions related to data architecture, software design, and system reliability.
  • Establish patterns, tooling, and best practices to support scalable optimization capabilities.
  • Incorporate uncertainty, probabilistic forecasts, and financial risk into algorithm design while balancing performance and interpretability.

Enable Trading and Operational Excellence
  • Collaborate across engineering and business teams to ensure optimization systems perform reliably in live market conditions.
  • Partner with trading and operations teams to create feedback loops between real-world performance and algorithmic improvements.
  • Advance simulation tools to accelerate parameter tuning and expand analytical capabilities.

What You'll Bring
  • 5+ years of experience formulating and solving optimization problems (LP, MILP, nonlinear) in production environments.
  • Familiarity with solvers such as Gurobi, XPRESS, HiGHS, or CPLEX and modeling frameworks like Pyomo, JuMP, or AMPL.
  • Experience providing technical leadership and guiding system architecture decisions.
  • Hands-on experience with production code, continuous deployment, and designing for scalability and reliability.
  • Working knowledge of orchestration tools such as Airflow, Temporal, Dagster, Flyte, or Argo.
  • Strong systems thinking and ability to collaborate across teams to ensure cohesive, high-performing solutions.
  • Ability to leverage AI tools to accelerate development while maintaining high code quality standards.

Strongly Preferred
  • Graduate degree in operations research, engineering, economics, or a related field with a strong mathematical foundation.
  • Strong knowledge of energy systems, wholesale power markets, or power plant operations.
  • Experience in environments where latency and reliability directly impact business outcomes.
  • Experience building and operating production infrastructure on cloud platforms such as GCP, AWS, or Azure.

Total Rewards
Total Compensation: $217,500 - $237,000 (total compensation includes base salary + bonus in USD)
Equity: Beyond your salary, you'll receive an Equity Grant, giving you a meaningful stake in our parent company.
Health & wellness: 100% premium coverage for you and your dependents on medical, dental, and vision
Time to recharge: Unlimited PTO, plus two company-wide breaks (Fourth of July & end of year)
Family support: Up to 12 weeks of fully paid parental leave, plus 6 additional weeks for birth parents; access to family planning and family care support through Carrot and Maven
Mental health: Free access to Spring Health, including 5 free therapy and psychiatry sessions, plus a Headspace account for mindfulness and meditation through our physical health vendor, Wellhub+
Perks & extras: $150 monthly food stipend, $150 monthly reimbursement for cell phone and internet, pet insurance allowance, full home office setup, free access to UrbanSitter with $625 in quarterly company-paid credits, ActiveHero, and One Medical
Intersect maintains a work environment free from discrimination, one where all employees are treated with dignity and respect. All employees share in the responsibility for fulfilling Intersect's commitment to equal employment opportunity. Intersect does not discriminate against any employee or applicant on the basis of age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by and consistent with applicable local laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline.
We sometimes use AI-powered note taking tools during interviews to support our team. They're used only for documentation and don't replace human judgment.