Optimization Engineer

Position: Optimization Engineer

Location: Warren, Michigan

Duration: 1.5 years – possibility of extensions

Compensation: $35/hr to $45/hr

Exact compensation may vary based on several factors, including skills, experience, and education

.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law

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Qualification

• s:Masters Degree or PhD in Engineeri
• ng2-3 years of experience with multi-object optimization & applying it to engineering proble
• msExperience in optimization model development – HEEDS, LS-OPT, iSight, or own developme
• ntExperience programming in python & C
• Familiar with FEM – Finite Element Metho
• dsExperience with LS-Dyna or CAE packa

ge
Day to D

ay:Insight Global is looking for an Optimization Engineer in the Warren, Michigan area. The optimization engineer will be responsible for developing, implementing, and deploying optimization methods to support engineering design, analysis, and decision-making across multidisciplinary applicatio

ns.
Additional Responsibilities Incl

• ude:Develop and apply multi-objective optimization methods for engineering problems involving tradeoffs among performance, cost, mass, durability, efficiency, or other attrib
• utesBuild, validate, and improve optimization models for simulation-driven and data-driven engineering applicat
• ionsFormulate engineering problems as mathematical optimization models, including objectives, constraints, and decision varia
• blesUse and integrate commercial optimization tools and solvers as well as custom-developed optimization c
• odesWork with cross-functional engineering teams to translate real-world design challenges into robust optimization workf
• lowsAnalyze Pareto-optimal solutions and provide engineering insights to support decision-ma
• kingSupport model calibration, sensitivity studies, design space exploration, and surrogate/model-reduction approaches where appropr
• iateDocument methods, assumptions, and results, and communicate findings clearly to technical and non-technical stakehol