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Optimization Engineer Jobs in Pittsburgh, PA (NOW HIRING)

Tata Consultancy Service Limited

Engineer

Pittsburgh, PA · On-site

$90K - $110K/yr

Feature importance, model input optimization. * Data Quality & Validation: Drift detection, validation frameworks. * Platform & Engineering. * CI/CD pipelines and automated testing. * Cloud platforms ...

Tata Consultancy Service Limited

Engineer

Pittsburgh, PA · On-site

$100K - $120K/yr

Feature importance, model input optimization. * Data Quality & Validation: Drift detection, validation frameworks. * Platform & Engineering. * CI/CD pipelines and automated testing. * Cloud platforms ...

Tata Consultancy Service Limited

Engineer

Pittsburgh, PA · On-site

$120K - $140K/yr

Feature importance, model input optimization. * Data Quality & Validation: Drift detection, validation frameworks. * Platform & Engineering. * CI/CD pipelines and automated testing. * Cloud platforms ...

Tata Consultancy Service Limited

Engineer

Pittsburgh, PA · On-site

$100K - $120K/yr

Feature importance, model input optimization. * Data Quality & Validation: Drift detection, validation frameworks. * Platform & Engineering. * CI/CD pipelines and automated testing. * Cloud platforms ...

Tata Consultancy Services

Engineer

Pittsburgh, PA · On-site

Feature importance, model input optimization. • Data Quality & Validation: Drift detection, validation frameworks. • Platform & Engineering. • CI/CD pipelines and automated testing. • Cloud ...

AD Energy Recruitment

Process Engineer

Canonsburg, PA · On-site

The RNG Process Engineer will play a critical role in designing, optimizing, and maintaining processes for the production of renewable natural gas. This position will require a strong background in ...

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Optimization Engineer information

See Pittsburgh, PA salary details

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How much do optimization engineer jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for optimization engineer in Pittsburgh, PA is $57.91, according to ZipRecruiter salary data. Most workers in this role earn between $42.02 and $71.39 per hour, depending on experience, location, and employer.

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.

What are Optimization Engineers?

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 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.

What does an optimization engineer do?

An optimization engineer analyzes and improves processes, systems, or algorithms to increase efficiency, reduce costs, or enhance performance. They often use mathematical modeling, data analysis, and tools like MATLAB or Python to develop solutions and may work in industries such as manufacturing, logistics, or software development.

What engineers make 200,000 a year?

Senior engineers in fields such as software, petroleum, aerospace, and data engineering often earn $200,000 or more annually, especially with extensive experience, advanced skills, and relevant certifications. Compensation can vary based on industry, location, and company size, with roles involving specialized expertise, leadership, or management responsibilities typically commanding higher salaries.

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 engineers make $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or systems architecture can earn $500,000 or more annually, especially in senior or executive roles at large technology companies. These roles often require advanced skills, certifications, and extensive industry experience, and compensation may include base salary, bonuses, and stock options.

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.

How much do optimization engineers make?

Optimization engineers typically earn a median salary ranging from $70,000 to $120,000 annually, depending on experience, industry, and location. Senior roles or those with specialized skills in data analysis, programming, and modeling can earn higher compensation, often exceeding $150,000.
More about Optimization Engineer jobs
What are the most commonly searched types of Optimization Engineer jobs in Pittsburgh, PA? The most popular types of Optimization Engineer jobs in Pittsburgh, PA are:
What are popular job titles related to Optimization Engineer jobs in Pittsburgh, PA? For Optimization Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Optimization Engineer jobs in Pittsburgh, PA look for? The top searched job categories for Optimization Engineer jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Optimization Engineer jobs? Cities near Pittsburgh, PA with the most Optimization Engineer job openings:
Optimization Engineer jobs near you
Infographic showing various Optimization Engineer job openings in Pittsburgh, PA as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $120,446 per year, or $57.9 per hour.

Senior / Staff ML Training Optimization Engineer

Waabi

Pittsburgh, PA • On-site, Remote

$141K - $249K/yr

Full-time

Re-posted 24 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will...
- Build standardized distributed training frameworks for research and production, drive our training towards new levels of stability and efficiency.
- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.
- Identify and evaluate emerging technologies that can be adopted into Waabi’s training and inference frameworks. Examples include designing new CUDA kernels, quantization-aware training and inference, and compilation/deployment techniques.
- Work with researchers and ML engineers on best-practices for optimal resource usage.
- Create and improve tooling and dashboards to ensure broad adoption of your work.
 
Qualifications:
- MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.
- Experience in deep learning frameworks such as PyTorch or Jax.
- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.
- Open-minded and collaborative team player with willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
 
Bonus/nice to have:
- Experience in identifying when custom CUDA kernels are needed, and implementing them.
- Experience in Bazel in a monorepo environment, and integrating third party packages into dev environments.
- Experience with Kubernetes-based training platforms.
 
The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
Waabi provides a competitive benefits package that includes:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- World-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)
- As we grow, this list continues to evolve! 

Waabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.