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Flexsim Jobs in California (NOW HIRING)

Apple

Technical Program Manager, Depth

Cupertino, CA · On-site

$159K - $206K/yr

... FlexSIM Meaningful experience/background in introducing products into manufacturing, and/or high volume production with Asia-based manufacturing suppliers Experience in ramping optical modules into ...

Apple

Technical Program Manager - Camera/Depth

Cupertino, CA · On-site

$159K - $206K/yr

Experience and knowledge of statistic and data analysis tools such as Tableau, JMP, SPC, FMEA, DOE, TA, DFM, FlexSIM Meaningful experience/background in introducing products into manufacturing, and ...

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All JobsFlexsim JobsFlexsim Jobs in California

Flexsim information

See California salary details

$10.9K

$113.8K

$246.7K

How much do flexsim jobs pay per year?

As of Aug 8, 2026, the average yearly pay for flexsim in California is $113,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $246,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the FlexSim position, and why are they important?

To thrive as a FlexSim Simulation Engineer or Specialist, you need a solid background in industrial engineering, systems modeling, or operations research, typically supported by a relevant degree. Proficiency with the FlexSim simulation software, along with knowledge of programming languages such as C++ or Python, and familiarity with data analysis tools are crucial. Strong problem-solving, communication, and project management skills help you collaborate effectively with cross-functional teams and present findings to stakeholders. These skills are essential for accurately modeling complex processes, identifying bottlenecks, and implementing improvements that drive operational efficiency.

What is a FlexSim?

A FlexSim job typically involves using FlexSim, a 3D simulation software, to model, analyze, and optimize systems in industries like manufacturing, logistics, and healthcare. Professionals in this role create virtual models of processes to improve efficiency, reduce costs, and identify potential bottlenecks. They often work with simulation, data analysis, coding, and optimization techniques. Employers may seek FlexSim specialists with engineering, operations research, or data analytics backgrounds.

What types of projects do FlexSim professionals typically work on, and how collaborative is the work environment?

FlexSim professionals often work on projects involving the simulation and analysis of manufacturing processes, supply chain networks, healthcare systems, or logistics operations to optimize performance and resource utilization. These roles are highly collaborative, as you frequently interact with engineers, managers, IT specialists, and sometimes clients to gather data, validate models, and implement solutions. You may also participate in team meetings to review simulation results and develop recommendations. This collaborative environment not only enhances your technical expertise but also builds valuable teamwork and communication skills, which are vital for career advancement in simulation engineering.

What are the most commonly searched types of Flexsim jobs in California? The most popular types of Flexsim jobs in California are:
What are popular job titles related to Flexsim jobs in California? For Flexsim jobs in California, the most frequently searched job titles are:
What job categories do people searching Flexsim jobs in California look for? The top searched job categories for Flexsim jobs in California are:
Flexsim jobs near you
Infographic showing various Flexsim job openings in California as of August 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 100% In-person job distribution, with an average salary of $113,781 per year, or $54.7 per hour.

Machine Learning/Operations Research Engineer

Socket.dev

Cupertino, CA • On-site

$180 - $280/hr

Other

Posted 3 days ago

New

Job description

DESCRIPTION

With the explosive growth of Apple products we are creating new opportunities for individuals to work on the most exciting new technologies at Apple. We are seeking a machine learning/operations research engineer to apply advanced mathematical modeling, statistical analysis, and optimization algorithms to solve complex manufacturing challenges. Machine learning/operations research engineers on our team directly impact our factory throughput, supply chain strategies, and cost-reduction initiatives by transforming raw operational data into actionable, data-driven decisions.

MINIMUM QUALIFICATIONS
  • Master’s degree or PhD in Operations Research, Industrial Engineering, Management Science, Applied Mathematics, or related field. Proficiency with solvers and modeling languages such as Gurobi, CPLEX, CP-SAT, Pyomo, and GAMS.
  • Hands-on experience with simulation platforms like Arena, FlexSim, SimPy, and AnyLogic. Experience with machine learning platforms such as PyTorch and Scikit-learn.
  • Excellent communication and presentation skills; ability to explain complex statistical and mathematical theories to non-technical stakeholders in simple, universal language.
PREFERRED QUALIFICATIONS
  • Proven experience in GenAI application building with agents and agentic workflows. Experience with LLM and LMM development and fine-tuning is a major plus.
  • Proficiency in using cutting-edge GenAI tools, i.e. Claude Code, Roo Code, etc.
  • Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale is a plus.
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