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Production Optimization Engineer Jobs (NOW HIRING)

Etched

Power Optimization Engineer

Cupertino, CA · On-site

$2.0K/mo

Our first product (Sohu) only supports transformers, but has an order of magnitude more throughput ... Engineers, and Physical Design teams to implement design for optimal power using advanced power ...

Etched

Power Optimization Engineer

Cupertino, CA · On-site

$2.0K/mo

Our first product (Sohu) only supports transformers, but has an order of magnitude more throughput ... Engineers, and Physical Design teams to implement design for optimal power using advanced power ...

Allegiant

Optimization Engineer - Commercial

Minneapolis, MN · On-site

$119K - $143K/yr

Summary The Optimization Engineer - Commercial transforms complex commercial decisions into model ... Proficiency in writing production-quality code in Python, utilizing libraries like Pandas/NumPy and ...

Allegiant

Optimization Engineer - Commercial

Las Vegas, NV · On-site

$109K - $131K/yr

Summary The Optimization Engineer - Commercial transforms complex commercial decisions into model ... Proficiency in writing production-quality code in Python, utilizing libraries like Pandas/NumPy and ...

Allegiant

Optimization Engineer - Commercial

Las Vegas, NV · On-site

$110K - $132K/yr

Summary The Optimization Engineer - Commercial transforms complex commercial decisions into model ... Proficiency in writing production-quality code in Python, utilizing libraries like Pandas/NumPy and ...

Etched

Power Optimization Engineer

Cupertino, CA · On-site

$2.0K/mo

Our first product (Sohu) only supports transformers, but has an order of magnitude more throughput ... Engineers, and Physical Design teams to implement design for optimal power using advanced power ...

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Production Optimization Engineer information

See salary details

$50.5K

$131.7K

$144K

How much do production optimization engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for production optimization engineer in the United States is $131,667.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,000.00 and $143,000.00 per year, depending on experience, location, and employer.

What is a production optimization engineer?

Production Optimization Engineers are professionals who focus on maximizing the efficiency and output of production systems, particularly in industries such as oil and gas, manufacturing, and process engineering. They analyze production data, identify bottlenecks, and implement strategies to enhance productivity and reduce costs. Their role often involves collaborating with multidisciplinary teams, using specialized software, and applying engineering principles to troubleshoot and optimize operations. The goal is to ensure optimal performance, safety, and profitability of production facilities.

What are the key skills and qualifications needed to thrive as a production optimization engineer?

To thrive as a Production Optimization Engineer, you need a solid background in chemical, petroleum, or mechanical engineering, along with experience in production systems and process optimization. Familiarity with production simulation software (e.g., Aspen HYSYS, OLGA), SCADA systems, and relevant industry certifications like SPE Petroleum Engineering Certification is highly valuable. Strong analytical thinking, effective communication, and problem-solving abilities help you drive performance improvements and collaborate across multidisciplinary teams. These skills and qualities are crucial for maximizing production efficiency, reducing costs, and ensuring safe, reliable operations in complex industrial environments.

What types of cross-functional collaboration can a production optimization engineer expect in their daily work?

As a Production Optimization Engineer, you'll regularly collaborate with multidisciplinary teams including operations, maintenance, reservoir engineering, and data analytics. This role often requires facilitating communication between field personnel and technical experts to implement process improvements, troubleshoot bottlenecks, and optimize production rates. Effective teamwork is essential, as you'll frequently participate in meetings, share findings, and coordinate pilot projects or process trials to ensure optimal equipment performance and cost efficiency.

What is the difference between Production Optimization Engineer vs Process Engineer?

AspectProduction Optimization EngineerProcess Engineer
CredentialsBachelor's in Engineering, certifications in production or process optimizationBachelor's or higher in Chemical, Mechanical, or Industrial Engineering, similar certifications
Work EnvironmentManufacturing plants, production facilities, industrial settingsDesign labs, manufacturing plants, process development environments
Industry UsageManufacturing, oil & gas, chemical processingChemical, manufacturing, energy sectors

Both roles focus on improving efficiency and processes within industrial settings. The Production Optimization Engineer primarily concentrates on optimizing existing production processes to increase output and reduce costs, while the Process Engineer often works on designing, developing, and improving manufacturing processes. Although their responsibilities overlap, the Optimization Engineer is more focused on operational improvements, whereas the Process Engineer emphasizes process design and development.

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What are popular job titles related to Production Optimization Engineer jobs?

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Production Optimization Engineer jobs near you
Infographic showing various Production Optimization Engineer job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 9% Part Time, 2% Contract, and 2% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $131,667 per year, or $63.3 per hour.

Power Optimization Engineer

Cupertino, CA • On-site

Etched
See more jobs at Etchedexternal

$2.0K/mo

Full-time

Medical, Dental, Vision

Re-posted 20 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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