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Senior Optimization Engineer Jobs in California (NOW HIRING)

Avantus

Sr. Engineer, Optimization Engineering

San Diego, CA · Hybrid

$110K - $152K/yr

Optimization Engineer willdemonstrateindustry knowledge, superior communicationskills, and detail-oriented organizational skills.This is seen as critical roletosupport projects from early-stage ...

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Senior Optimization Engineer information

See California salary details

$58.7K

$124.9K

$181.1K

How much do senior optimization engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for senior optimization engineer in California is $124,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $141,600.00 per year, depending on experience, location, and employer.

What is a senior optimization engineer?

A Senior Optimization Engineer is a highly experienced professional who specializes in improving the efficiency and performance of systems, processes, or products. They use advanced analytical, mathematical, and engineering techniques to identify inefficiencies and develop solutions that maximize output while minimizing costs or resource usage. Senior Optimization Engineers often work in industries such as manufacturing, software, logistics, and energy. Their responsibilities may include data analysis, algorithm development, simulation modeling, and collaborating with cross-functional teams to implement improvements. This role typically requires a strong background in engineering, mathematics, and optimization methods, as well as several years of relevant experience.

How does a senior optimization engineer collaborate with cross-functional teams to implement solutions?

Senior Optimization Engineers often work closely with data scientists, software developers, and business analysts to design and implement process improvements. They play a key role in translating complex mathematical models into practical solutions that can be integrated into existing systems. Regular communication and collaboration are essential, as these engineers must ensure that proposed optimizations align with business goals and technical constraints. Effective teamwork and stakeholder engagement are crucial for successfully moving projects from concept to execution.

What skills and qualifications are needed to thrive as a senior optimization engineer?

To thrive as a Senior Optimization Engineer, you need expertise in mathematical modeling, data analysis, and optimization algorithms, typically supported by a degree in engineering, mathematics, or a related field. Proficiency in programming languages (such as Python, MATLAB, or C++), optimization software (like Gurobi or CPLEX), and familiarity with simulation tools are commonly required. Strong problem-solving abilities, effective communication, and project management skills help you stand out in this role. These skills and qualities are vital to developing efficient solutions, collaborating with cross-functional teams, and driving impactful process improvements.

What is the difference between Senior Optimization Engineer vs Data Scientist?

AspectSenior Optimization EngineerData Scientist
Required CredentialsBachelor's or Master's in Engineering, Mathematics, or related field; experience in optimization algorithmsBachelor's or Master's in Computer Science, Statistics, or related field; proficiency in data analysis
Work EnvironmentEngineering teams, product development, operationsData analysis teams, research, business intelligence
Industry UsageManufacturing, logistics, tech companies focusing on process optimizationTech, finance, healthcare, focusing on data-driven insights

While both roles require strong analytical skills and technical expertise, Senior Optimization Engineers focus on improving processes and systems through optimization techniques, whereas Data Scientists analyze data to generate insights and support decision-making. The roles often collaborate but serve different core functions within organizations.

What cities in California are hiring for Senior Optimization Engineer jobs? Cities in California with the most Senior Optimization Engineer job openings:
Senior Optimization Engineer jobs near you
Infographic showing various Senior Optimization Engineer job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $124,900 per year, or $60 per hour.

Sr. Engineer, Optimization Engineering

Avantus

San Diego, CA • Hybrid

$110K - $152K/yr

Other

Posted 27 days ago

Job description

ABOUT AVANTUS

Avantus develops, owns and operates utility-scale clean energy projects across California and the Desert Southwest. Our development pipeline of solar with integrated storage will generate enough dispatchable power to serve more than 10 million Americans, day and night. Backed by strategic investment from KKR and EIG, and building on more than a decade of industry leadership, Avantus is growing its position as an independent power producer, delivering affordable, reliable clean energy solutions to meet America's growing energy demand.

ABOUT THE POSITION

TheSr.Optimization Engineer willdemonstrateindustry knowledge, superior communicationskills, and detail-oriented organizational skills.This is seen as critical roletosupport projects from early-stage development through mid- and late-stageofftakerand financingdiligence.The person in this rolewould support production,design, and costoptimization throughout the full development process. 

ESSENTIAL FUNCTION AND RESPONSIBILITIES

Prospecting/Siting: 

  • Assessearly-stagedesign trade-offs for site specific and regional guidance(considering factors such as DC/AC loading, GCR, equipment, land cost, expected COD year,etc.) 

PPAbid/Competitiveness: 

  • Identifyand model site specific conditions such as meteorological data, soiling, shading and other onsite conditions that mayimpactdesign andproduction 
  • P50, P90, P99 and hedge type production assessments 
  • Lead cross functional design optimization efforts targeted atthelowestLCOE 
  • Review technical requirements of PPA to guide negotiation and projectrisks 
  • Identifyproduction and design levers to quantify risk and opportunities on project development andprofitability 
  • Lead technical bid preparation and ensure team deliverables meet bidrequirements 
  • Help assess PV+S design and dispatch optimization that meets off-takerneeds 

Project Optimization Efforts: 

  • Diligencenew technologywith suppliers,EPCand IEs to understand bankability,performanceand designimpacts 
  • Work on LCOE initiatives around design configuration, landutilization,andequipment 
  • Present results of project design and cost optimization efforts to projectstakeholders 

EPC RFP and ValueEngineering: 

  • Present key project specifications to EPC partners for detailed design process 
  • Guide and collaborate withthecontractor to find site and EPC specific optimizeddesign 
  • Review and negotiatetechnical exhibits such as capacity testing and technical commissioning (withthesupport of OEs) 
  • Support commissioning and performance testing activities by reviewing data from EPCs and coordinating withIEs 

Technical DiligenceThroughProjectFinancing: 

  • Technicaland performance supportthroughIE diligence and project financing 
  • Lead production reviews and coordinate on design,equipmentand production topics to maximize projectvaluation 

 

REQUIRED SKILLS AND QUALIFICATIONS 

  • StrongPVproductionmodeling experience (PVsyst, SAM, and/orpvlib, etc.) 
  • Basic energy storage modeling experience 
  • Comprehensive knowledge of Solar and Storage technology and components 
  • Commercially minded engineer focused onoptimization forLCOE 
  • Ability to quantify risk and opportunities around unknowns in design andtechnology 
  • Basic understanding of the full solar development process 
  • Basic understanding of renewable project finance process 
  • Understanding of typical Solar and Storage PPA and market structures 
  • Thrive in a cross-functional environment, able to guide discussion andidentifydependencies between design, production, cost, land use,LCOE 
  • Data analysis experience inExcel (familiarity withpythona plus) 
  • Bachelor of Science in STEM 
  • 3+years' experience inproject oroptimization engineering 
  • 3+years' experience with renewable energy and solar development 

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