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Optimization Engineer Jobs (NOW HIRING)

Etched

Power Optimization Engineer

Cupertino, CA · On-site

$2.0K/mo

Work closely with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to implement design for optimal power using advanced power management ...

Grimco

Process Optimization Engineer

Owensville, MO · On-site

We are seeking a Process Optimization Engineer to enhance the efficiency, quality, and safety of our manufacturing processes at our Owensville, MO facility. In this role, you will design ...

Hitachi

Senior Optimization Engineer

Santa Clara, CA · Remote

$122K - $168K/yr

As a Senior Optimization Engineer, you will work at the intersection of advanced mathematics, software engineering, and power systems. You'll design and implement optimization models that help ...

Hitachi, Ltd.

Senior Optimization Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

As a Senior Optimization Engineer, you will work at the intersection of advanced mathematics, software engineering, and power systems. You'll design and implement optimization models that help ...

Oxy

AI Optimization Engineer

Houston, TX · On-site

We are looking for an experienced and innovative leader to fill the position of AI Optimization Engineer within our Applied AI Center of Excellence group based in Houston, TX. Essential Job ...

Etched

Power Optimization Engineer

Cupertino, CA · On-site

$2.0K/mo

Work closely with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to implement design for optimal power using advanced power management ...

Etched

Power Optimization Engineer

Cupertino, CA · On-site

$2.0K/mo

Work closely with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to implement design for optimal power using advanced power management ...

pca

Plant Optimization Engineer (Plano, TX)

Plano, TX · On-site

The Plant Optimization Engineer Position (POE) is a developmental program which focuses on hiring recent college graduates with degrees in engineering (0-2 years experience) into a rotational ...

Allegiant

Optimization Engineer - Commercial

Las Vegas, NV

$109K - $131K/yr

Summary The Optimization Engineer - Commercial transforms complex commercial decisions into model-based solutions that improve profitability outcomes and automate manual processes. The position ...

Grimco

Process Optimization Engineer

Owensville, MO · On-site

We are seeking a Process Optimization Engineer to enhance the efficiency, quality, and safety of our manufacturing processes at our Owensville, MO facility. In this role, you will design ...

Grimco

Process Optimization Engineer

Owensville, MO · On-site

We are seeking a Process Optimization Engineer to enhance the efficiency, quality, and safety of our manufacturing processes at our Owensville, MO facility. In this role, you will design ...

Apple

Sr. ML Optimization Engineer, iCloud

Culver City, CA · On-site

$114K - $157K/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 ...

Grimco

Process Optimization Engineer

Owensville, MO · On-site

We are seeking a Process Optimization Engineer to enhance the efficiency, quality, and safety of our manufacturing processes at our Owensville, MO facility. In this role, you will design ...

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Optimization Engineer information

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How much do optimization engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for optimization engineer 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 engineer?

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 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 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.

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 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.

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Optimization Engineer jobs near you
Infographic showing various Optimization Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $124,067 per year, or $59.6 per hour.

Power Optimization Engineer

Etched

Cupertino, CA • On-site

$2.0K/mo

Full-time

Medical, Dental, Vision

Re-posted 10 days ago

Job description

About Etched
Etched is building AI chips that are hard-coded for individual model architectures. Our first product (Sohu) only supports transformers, but has an order of magnitude more throughput and lower latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents.
Key responsibilities
  • Develop chip power model from chip architecture, estimate chip power from microarchitecture, and devise power saving techniques for product use cases.
  • Work closely with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to implement design for optimal power using advanced power management techniques.
  • Estiate and analyze power consumption data at both full-chip and unit levels, guiding ASIC teams to enhance the power efficiency of all functional units both pre-silicon and post silicon. Correlate the estimated power consumption to the measured power.

You may be a good fit if you have
  • Experience in power optimization using dynamic voltage and frequency scaling techniques, power aware synthesis, glitch power reduction techniques as well as efficient power delivery network implementation.
  • Experience with gate-level power optimization through VCD-based and/or FSDB-based power analysis.
  • Strong understanding of concepts of energy consumption, estimation, data movement, low power design, and power-saving features.

Strong candidates may also have experience with
  • Digital design and optimization using industry-standard power analysis tools and methodologies.
  • Leading power optimization at RTL and layout level using PrimePower, VCD-based analysis, DVFS, clock power reduction, clock gating, and glitch reduction techniques.

Benefits
  • Full medical, dental, and vision packages, with 100% of premium covered
  • Housing subsidy of $2,000/month for those living within walking distance of the office
  • Daily lunch and dinner in our office
  • Relocation support for those moving to Cupertino

How we're different
Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.
We are a fully in-person team in Cupertino, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

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