Staff Design Optimization Engineer, Materials & Manufacturing

This position is posted by Jobgether on behalf of SandboxAQ. We are currently looking for a Staff Design Optimization Engineer, Materials & Manufacturing in United States.

We are seeking a highly skilled engineer to lead AI-assisted structural optimization and materials selection for advanced defense applications. This role combines hands-on experience with finite element analysis (FEA), topology optimization, and materials engineering to improve component performance, manufacturability, and cost efficiency. You will work closely with AI/ML experts to integrate advanced computational workflows, translating engineering challenges into automated, data-driven solutions. The ideal candidate thrives in a collaborative, high-impact environment, balancing technical rigor with practical design judgment while contributing to cutting-edge AI-enabled engineering projects.

Accountabilities

·         Perform finite element analysis (FEA) and topology optimization using tools such as Altair or ANSYS, evaluating results against material and manufacturing constraints.

·         Guide materials selection and substitution efforts, considering engineering tradeoffs and commercial alloy databases.

·         Integrate AI/ML models with FEA and topology optimization workflows to accelerate design processes.

·         Assess manufacturability of designs, including traditional processes like casting, forging, and welding.

·         Provide expertise on metals, alloys, and material processing conditions for component redesign.

·         Document workflows, tools, and deliverables to support knowledge transfer and commercial readiness.

·         Participate in internal and client-facing meetings, presenting technical findings clearly and effectively.

·         MS or PhD in Mechanical Engineering, Materials Engineering, or related field.

·         5+ years of experience in at least two of the following areas: FEA (Altair, ANSYS), topology optimization, applied materials engineering, or component design for manufacturability.

·         Strong knowledge of CAE procedures and target requirements for structural components.

·         Ability to evaluate material-performance tradeoffs and manufacturability for processes such as forging, casting, and joining.

·         Proficiency in Python and familiarity with APIs for engineering software integration.

·         Excellent problem-solving, analytical, and communication skills.

·         Preferred: background in metallurgical engineering or applied materials science, experience with AI-driven engineering tools, structural/lightweight design principles, and cloud-based high-performance computing environments.

·         Competitive US salary range: $179k–$251k per year, plus potential annual discretionary bonuses and equity.

·         Stock options depending on employment type.

·         Comprehensive medical, dental, and vision coverage.

·         PTO including summer and winter breaks.

·         Family planning/fertility support and financial wellness resources.

·         401(k) plans and generous learning opportunities for professional growth.

·         Inclusive and collaborative work environment emphasizing personal and professional development.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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