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Optimization Engineer Jobs (NOW HIRING)

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 ...

Oxy

AI Optimization Engineer

Houston, TX

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

Efficient Computer

Optimization Engineer

San Jose, CA · On-site

$130K - $200K/yr

Efficient's Optimization Engineers optimize and benchmark applications, libraries, and kernels for the world's most energy-efficient programmable processor (the "Fabric"). In this role, you will take ...

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

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 Jul 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 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.
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Optimization Engineer jobs near you
LLM Inference Frameworks and Optimization Engineer

LLM Inference Frameworks and Optimization Engineer

Together AI

San Francisco, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Together AI is a research-driven artificial intelligence company focused on optimizing AI systems. They are seeking an Inference Frameworks and Optimization Engineer to design, develop, and optimize distributed inference engines for large language models, ensuring efficient and scalable deployment across various applications.
Responsibilities:
• Design and develop fault-tolerant, high-concurrency distributed inference engine for text, image, and multimodal generation models.
• Implement and optimize distributed inference strategies, including Mixture of Experts (MoE) parallelism, tensor parallelism, pipeline parallelism for high-performance serving.
• Apply CUDA graph optimizations, TensorRT/TRT-LLM graph optimizations, and PyTorch-based compilation (torch.compile), and speculative decoding to enhance efficiency and scalability.
• Collaborate with hardware teams on performance bottleneck analysis, co-optimize inference performance for GPUs, TPUs, or custom accelerators.
• Work closely with AI researchers and infrastructure engineers to develop efficient model execution plans and optimize E2E model serving pipelines.
Qualifications:
Required:
• 3+ years of experience in deep learning inference frameworks, distributed systems, or high-performance computing.
• Familiar with at least one LLM inference frameworks (e.g., TensorRT-LLM, vLLM, SGLang, TGI(Text Generation Inference)).
• Background knowledge and experience in at least one of the following: GPU programming (CUDA/Triton/TensorRT), compiler, model quantization, and GPU cluster scheduling.
• Deep understanding of KV cache systems like Mooncake, PagedAttention, or custom in-house variants.
• Proficient in Python and C++/CUDA for high-performance deep learning inference.
• Deep understanding of Transformer architectures and LLM/VLM/Diffusion model optimization.
• Knowledge of inference optimization, such as workload scheduling, CUDA graph, compiled, efficient kernels.
• Strong analytical problem-solving skills with a performance-driven mindset.
• Excellent collaboration and communication skills across teams.
Preferred:
• Experience in developing software systems for large-scale data center networks with RDMA/RoCE.
• Familiar with distributed filesystem(e.g., 3FS, HDFS, Ceph).
• Familiar with open source distributed scheduling/orchestration frameworks, such as Kubernetes (K8S).
• Contributions to open-source deep learning inference projects.
Company:
Together AI is a cloud-based platform designed for constructing open-source generative AI and infrastructure for developing AI models. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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