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Modeling Optimization Engineer Jobs (NOW HIRING)

Trafigura Group

... based optimization models for the splitter asset to identify margin-maximizing feed selection ... Early-career project engineering or project management experience on plant capital projects, even ...

Lemurian Labs

Compiler Optimization Engineer

They are seeking a Graph Optimization Compiler Engineer to design and implement optimization passes in their AI compiler stack, focusing on enhancing model performance through graph-level ...

Puma Energy

Optimization Engineer

Houston, TX · On-site

... based optimization models for the splitter asset to identify margin-maximizing feed selection ... Early-career project engineering or project management experience on plant capital projects, even ...

Trafigura

Optimization Engineer

Houston, TX · Hybrid

Run and maintain LP-based optimization models for the splitter asset to identify margin-maximizing ... Early-career project engineering or project management experience on plant capital projects, even ...

Trafigura Group

Optimization Engineer

Houston, TX · On-site

... based optimization models for the splitter asset to identify margin-maximizing feed selection ... Early-career project engineering or project management experience on plant capital projects, even ...

Verse

Senior Optimization Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Optimization Modeling & Solver Development: Design and implement mathematical optimization models using linear, mixed-integer, quadratic, and related optimization techniques. Formulate robust models ...

Verse

Senior Optimization Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Optimization Modeling & Solver Development: Design and implement mathematical optimization models using linear, mixed-integer, quadratic, and related optimization techniques. Formulate robust models ...

Verse

Senior Optimization Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Optimization Modeling & Solver Development: Design and implement mathematical optimization models using linear, mixed-integer, quadratic, and related optimization techniques. Formulate robust models ...

Talanto

$100K/yr

AI Optimization Engineer - Remote is a technology consulting and software development company ... Familiarity with model compression techniques and their accuracy implications. * Strong grasp of ...

Oxy

AI Optimization Engineer

Houston, TX · On-site

... Optimization Engineer within our Applied AI Center of Excellence group based in Houston, TX. ... Experience in dynamic and/or static system modeling. * Experience designing and implementing ...

Oxy

AI Optimization Engineer

Houston, TX · On-site

... Optimization Engineer within ourApplied AI Center of Excellence group based in Houston, TX. ... Experience indynamic and/or static system modeling. * Experience designing and implementing ...

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How much do modeling optimization engineer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for modeling optimization engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What is a modeling optimization engineer?

Modeling Optimization Engineers are professionals who use mathematical models, simulations, and optimization techniques to improve systems, processes, or products. They analyze data, develop algorithms, and run simulations to find the most efficient solutions to engineering challenges. These engineers often work in industries such as manufacturing, logistics, energy, and technology, helping organizations save time, reduce costs, and increase performance. Their work involves collaborating with other engineers, using specialized software, and applying advanced mathematics to real-world problems.

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

To thrive as a Modeling Optimization Engineer, you need a solid background in mathematics, data analysis, and optimization theory, typically supported by a degree in engineering, mathematics, computer science, or a related field. Proficiency with programming languages such as Python or MATLAB, optimization libraries, and modeling software like GAMS or CPLEX is essential. Strong problem-solving abilities, attention to detail, and effective communication make someone stand out in this position. These skills are crucial for developing efficient models and solutions that improve processes and drive decision-making in technical and business environments.

What are some common challenges faced by modeling optimization engineers when collaborating with cross-functional teams?

Modeling Optimization Engineers often work closely with data scientists, software developers, and business stakeholders to implement and refine optimization models. One common challenge is translating complex mathematical concepts into practical solutions that align with business objectives, which requires strong communication and collaboration skills. Additionally, integrating optimized models into existing systems can be difficult due to varying technical standards or data quality issues. Being adaptable and proactive in addressing feedback from different team members is essential for ensuring successful project outcomes.

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

For Modeling Optimization Engineer jobs, the most frequently searched job titles are:

Infographic showing various Modeling Optimization Engineer job openings in the United States as of September 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 80% In-person, 3% Hybrid, and 17% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

Compiler Optimization Engineer

Santa Clara, CA • On-site

Lemurian Labs
Internet and IT • 11 - 50 employees
Learn more about Lemurian Labsexternal

Full-time

Re-posted 14 days ago

Job description

Job Summary:
Lemurian Labs is reimagining the foundations of computing to make AI accessible to everyone. The Compiler Optimization Engineer will own the middle tier of the AI compiler stack, focusing on graph-level transformations and optimization passes to enhance model performance.
Responsibilities:
• Design, develop, and maintain the graph optimization layer of our heterogeneous AI compiler
• Implement and extend graph-level transformation passes including operator fusion, layout propagation, dead code elimination, constant folding, and algebraic simplification
• Define and evolve our intermediate representation (IR) to support new optimization opportunities as ML model architectures advance
• Analyze performance data to identify optimization gaps and drive measurable improvements in throughput and latency
• Collaborate with front end and code generation teams to ensure clean IR interfaces and well-structured optimization pipelines
• Propose and prototype new optimization strategies in response to advances in model design and hardware capabilities
• Contribute to testing and validation infrastructure to ensure optimization correctness across model types and hardware targets
Qualifications:
Required:
• BS degree in Computer Science, Computer Engineering, or equivalent practical experience
• 4+ years of experience working with compilers, with a focus on intermediate representation design or optimization passes
• Deep knowledge of graph-level compiler optimization techniques — fusion, tiling, layout transformations, and related methods
• 4+ years of experience with C/C++
• Strong written and verbal communication skills; ability to write clear and concise technical documentation
Preferred:
• Master's or PhD in Computer Science, Computer Engineering, or equivalent
• Experience with polyhedral models or affine analysis for loop and tensor optimization
• Familiarity with hardware memory hierarchies and how layout decisions impact performance on GPUs or accelerators
• Experience working with MLIR, XLA, or similar graph-level IR frameworks
• Experience with ML framework internals — PyTorch eager/compile mode, JAX/XLA, or TensorRT
• Strong understanding of ML model architectures and their computational patterns (attention, convolution, normalization, etc.)
• Knowledge of quantization, sparsity, or other model-level optimization techniques
• Contributions to open-source compiler or ML infrastructure projects
Company:
Any workload. Any hardware. Any scale. Founded in 2018, the company is headquartered in Santa Clara, USA, with a team of 11-50 employees. The company is currently Early Stage.

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