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Optimisation Engineer 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 ...

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 ...

Signal Optimization Engineer

Overland Park, KS · Remote

$81K - $110K/yr

The Signal Optimization Engineer will be the go-to resource for facilitating the safest and most efficient movement of people and goods throughout NoTraffic deployments in North America (and beyond)

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 ...

As a 3D Print Optimization Engineer you will be continuously using your problem solving skills to drive improved performance. We are customer focused, and the first step of tackling the problem is ...

We are looking for an AI Optimization Engineer to lead and define our optimization capabilities across our product suite. Your mission: reinvent how some of the country's leading process ...

As a 3D Print Optimization Engineer you will be continuously using your problem solving skills to drive improved performance. We are customer focused, and the first step of tackling the problem is ...

Sr. ML Optimization Engineer, iCloud

Cupertino, CA · On-site

$128K - $177K/yr

As a Sr. ML Optimization Engineer, you will work at the intersection of systems engineering, infrastructure strategy, applied analytics, machine learning, and large-scale optimization. You will have ...

Field Optimization Engineer will perform system hydraulic modeling and process modeling to identify areas of opportunity and projects for improved operational performance * Fiel Optimization Engineer ...

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Optimisation Engineer information

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$38K

$115.9K

$191.5K

How much do optimisation engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for optimisation engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Roles often require advanced degrees, certifications, and leadership responsibilities, and compensation may include bonuses and stock options.

What is the role of an optimization engineer?

An optimization engineer analyzes and improves processes, systems, or products to increase efficiency, reduce costs, and enhance performance. They often use data analysis, mathematical modeling, and tools like simulation software to identify areas for improvement and implement solutions in manufacturing, logistics, or software environments.

How does an Optimisation Engineer typically collaborate with cross-functional teams to implement process improvements?

Optimisation Engineers frequently work alongside production, quality assurance, and maintenance teams to identify inefficiencies and implement solutions. This collaboration often involves gathering input from operators, analyzing process data with data scientists, and working with IT to deploy automation tools. Regular meetings and clear communication are crucial to ensure that proposed changes are both practical and aligned with operational goals. By fostering strong relationships across departments, Optimisation Engineers help ensure the successful adoption and sustainability of process improvements.

What is an Optimisation Engineer?

An Optimisation Engineer is a professional who specializes in improving systems, processes, or products to achieve better efficiency, performance, and cost-effectiveness. They analyze data, identify bottlenecks, and develop strategies or implement technologies that help organizations operate more optimally. Optimisation Engineers can work in various industries, including manufacturing, software, logistics, and energy. Their work often involves mathematical modeling, simulation, and the use of specialized software tools. Ultimately, their goal is to maximize output while minimizing resource use and waste.

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

To thrive as an Optimisation Engineer, you need strong analytical skills, a background in mathematics or engineering, and proficiency in optimization techniques, often supported by a relevant degree. Familiarity with technical tools such as MATLAB, Python, GAMS, or specialized optimization software, as well as experience with data analysis platforms, is typically required. Problem-solving abilities, strong communication, and a collaborative mindset are essential soft skills for excelling in this role. These skills are crucial for identifying, analyzing, and implementing solutions that improve processes, reduce costs, and drive operational efficiency.

What is the difference between Optimisation Engineer vs Data Analyst?

AspectOptimisation EngineerData Analyst
CredentialsBachelor's in Engineering, Mathematics, or related fields; certifications in data analysis or optimization toolsBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis or visualization tools
Work EnvironmentEngineering teams, manufacturing, logistics, or software developmentBusiness, marketing, finance, or healthcare sectors
Industry UsageManufacturing, supply chain, software optimizationMarket research, business intelligence, reporting

Optimisation Engineers focus on improving processes, systems, or products through technical analysis and engineering methods. Data Analysts interpret data to support decision-making, often using statistical tools. While both roles analyze data, Optimisation Engineers are more involved in technical process improvements, whereas Data Analysts focus on data interpretation and reporting.

How much do optimisation engineers make?

Optimization engineers typically earn a median annual salary ranging from $70,000 to $120,000, depending on experience, industry, and location. Senior roles or those with specialized skills in data analysis, programming, or machine learning can command higher salaries. Compensation may also include bonuses and benefits based on performance and company size.

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 technology and energy sectors.
More about Optimisation Engineer jobs
What states have the most Optimisation Engineer jobs? States with the most job openings for Optimisation Engineer jobs include:
What job categories do people searching Optimisation Engineer jobs look for? The top searched job categories for Optimisation Engineer jobs are:
Infographic showing various Optimisation Engineer job openings in the United States as of June 2026, with employment types broken down into 25% Full Time, and 75% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

$217K - $237K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 25 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.