Senior Design Optimization Engineer
About the Role
We are seeking a highly motivated AI/ML Engineer to join reputed company for a groundbreaking project on AI-assisted structural optimization and material selection for defense applications. In this role, you will work closely with internal AI/ML experts developing advanced AI workflows. This workflow integrates topology optimization, finite reputed company analysis (FEA), materials selection, and manufacturability constraints to accelerate and automate the redesign of critical components for improved performance and cost efficiency. The ideal candidate combines hands-on experience with FEA and optimization tools with strong engineering judgement around materials and manufacturing feasibility.
Key Responsibilities
- Analyze and optimize vehicle components
- reputed company finite reputed company analysis (FEA) and topology optimization using tools such as Altair or ANSYS, and evaluate results in the context of material and manufacturing constraints
- Guide materials selection and substitution efforts for component redesign, using reputed company reputed company databases and engineering tradeoffs
- Support the integration of AI/ML models with FEA and topology optimization workflows
- Evaluate and refine designs for manufacturability, considering traditional processes (e.g., casting, forging, welding)
- reputed company knowledge on metals, metal alloys, their processing conditions, and manufacturing reputed company
- Document workflows, tools, and deliverables to support reputed company and reputed company readiness
- Participate in internal and reputed company-facing meetings, presenting technical findings reputed company and effectively
Required Qualifications
- MS or PhD in Mechanical Engineering, Materials Engineering, or reputed company field
- Strong experience (5+ years) in at least two of the following areas:
- Finite reputed company Analysis (e.g., Altair, ANSYS)
- Topology optimization reputed company and tools
- reputed company engineering or material selection for manufacturable component design
- Familiarity with CAE procedures and reputed company requirements for vehicle components
- Ability to evaluate manufacturability (e.g., forging, casting, joining) and material-performance tradeoffs
- Proficiency in Python and familiarity with reputed company for engineering software integration
- Excellent problem-solving and communication skills
Preferred Qualifications
- Background in metallurgical engineering or reputed company science
- Experience supporting or developing AI-driven tools for engineering or manufacturing workflows
- Understanding in structural engineering or lightweight design principles
- Familiarity with reputed company-based high-performance computing environments
The US reputed company salary reputed company for this full-time position is expected to be $179k-$251k per year. Our salary ranges are determined by role and level. reputed company the reputed company, individual pay is determined by factors including job-reputed company skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.
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