Sensing Hardware - Mechanical Modeling and Simulation (FEA) Engineering Director
Apple Inc.10 months ago
Oakland, CA, United States
On-site
Full-time
Junior Level (1-3 years)
Job Description
Position Overview
Apple's Hardware Technology organization is seeking a visionary Engineering Director to spearhead the use of computational simulation to design and validate the next generation of sensing hardware. In this leadership role, you will lead, grow, and mentor a specialized team of computational mechanics and automation experts. You will combine deep expertise in mechanical simulation with a strategic vision for automation and the application of AI/ML, establishing best practices for simulation and analysis while collaborating closely with cross‑functional partners in sensor design, materials science, and product development. Location: San Francisco Bay Area, California, United States
Key Responsibilities
- Design Insight and Validation: Lead the team in delivering actionable insights, providing data‑driven design recommendations, and validating hardware designs using advanced simulation techniques.
- Strategic Leadership: Define and execute a technical roadmap for advanced simulation and analysis by applying systems engineering principles to ensure robust design outcomes.
- Team Leadership & Mentorship: Build, mentor, and lead a high‑performing team of computational engineers, fostering a culture of technical excellence and direct design impact.
- Automation & Toolchain Architecture: Oversee the development of sophisticated toolchains and automated workflows to accelerate the simulation process from model creation to reporting.
- Applied AI/ML for Simulation: Guide the application of AI/ML techniques such as surrogate modeling and predictive analytics to enhance simulation workflows.
- Deep Technical Guidance: Provide expert leadership in computational mechanics, including nonlinear FEA, multi‑physics simulation, and advanced material modeling.
- Cross‑Functional Influence: Collaborate with teams in sensor design, materials science, and product development to translate simulation results into tangible design improvements.
- Methodology & Quality: Establish and enforce rigorous simulation standards, ensuring validation and correlation with experimental test data.
Required Qualifications
- M.S. or Ph.D. in Mechanical Engineering, Aerospace Engineering, Computational Mechanics, or a closely related technical field.
- 10+ years of hands‑on experience in mechanical simulation, with a focus on miniaturized or high‑precision components.
- 5+ years in a technical leadership or management role with experience leading engineering teams and defining technical strategy.
- Deep Computational Mechanics Expertise: In-depth understanding of simulation techniques including nonlinear FEA, advanced material models, and proficiency with commercial software (e.g., Abaqus, ANSYS, COMSOL).
- Systems Engineering Acumen: Strong foundation in systems engineering principles to create robust, validated hardware designs.
- Leadership & Influence: Exceptional leadership and communication skills with the ability to influence design decisions through data‑driven insights.
Preferred Qualifications
- Experience with multi‑physics simulations relevant to sensor transduction (e.g., piezoelectric, optical, capacitive).
- Experience with Computational Fluid Dynamics (CFD) simulations, including fluid flow and thermal performance analysis.
- Experience in a consumer electronics or high‑volume manufacturing environment.
- Familiarity with designing for module and system reliability.
- Automation & Programming Skills: Advanced programming skills (Python highly preferred) with experience in developing custom engineering tools and automating simulation workflows.
- Experience with cloud‑based High‑Performance Computing (HPC) for large‑scale simulations.
- Applied AI/ML Experience: Proven ability to apply machine learning techniques to solve practical engineering problems within simulation or design contexts.
- Additional technical leadership experience beyond the minimum requirements is an advantage.
Benefits & Perks
- Salary: $305,000 - $487,200 base pay range (dependent on skills, qualifications, experience, and location)
- Compensation: Eligible for discretionary restricted stock unit awards and participation in the Employee Stock Purchase Plan
- Benefits: Comprehensive medical and dental coverage, retirement benefits, discounted products, free services, and tuition reimbursement for formal education
- Location: San Francisco Bay Area, California, United States
Required Skills
Automation Workflows
Python Programming
AI/ML Integration
Mechanical Simulation
Finite Element Analysis (FEA)
Computational Mechanics
Team Leadership
Systems Engineering