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Structural Design and Analysis Engineer, Sensors

Google
Posted 11 hours ago, valid for 19 days
Location

Mountain View, CA, US

Salary

$159,000 - $230,000 per year

Contract type

Full Time

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Sonic Summary

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  • The position requires a Bachelor's degree in Mechanical Engineering or equivalent practical experience.
  • Candidates should have at least 4 years of experience in structural mechanics and finite element analysis (FEA), along with 3 years of experience using simulation and design tools.
  • The salary range for this role is between $159,000 and $230,000, with additional benefits including a 15% bonus target and equity.
  • Preferred qualifications include a Master's degree or PhD in Mechanical Engineering and industrial experience in complex material simulation for consumer electronics.
  • As a Structural Design and Analysis Engineer, responsibilities include conducting analyses to predict failures and collaborating across teams to optimize designs.

Minimum qualifications:

  • Bachelor's degree in Mechanical Engineering or equivalent practical experience.
  • 4 years of experience working in a structural mechanics and finite element analysis (FEA) simulation technical environment.
  • 3 years of experience using simulation and design tools (e.g., Abaqus, Ansys Mechanical, Hypermesh, Siemens NX, Creo) as well as mechanical testing (including tensile, compression, shear, quasi-static, and dynamic).

Preferred qualifications:

  • Master's degree or PhD in Mechanical Engineering.
  • Industrial experience in complex material simulation for consumer electronics, as well as proficiency in scripting and automation (e.g., Python, APDL) for FEA workflows.
  • Technical expertise in or more of the core areas of mechanical design, simulation, and testing, including static/dynamic structural FEA, non-linear and damage material mechanics, and physical testing protocols (tensile, compression, shear under quasi-static and dynamic conditions).

About the job:

The TechEng sensing team is responsible for sensor technologies within all of our consumer devices (phone/watch/buds/home/tracker), including both hardware and algorithm development, representing a array of technologies such as inertial, magnetometer, barometer, Electrocardiogram (ECG), Photoplethysmogram (PPG), haptics, touch, fingerprint, and others. We maintain year-over-year performance of the sensors in our devices, along with developing innovative, never-before-seen technologies in the sensing space. Given the importance of sensors in understanding and feeding user context into the ML/AI/LLM, this is an incredibly exciting and dynamic space.

As a Structural Design and Analysis Engineer on the Tech Eng Sensors team, you will work alongside cross-functional hardware and software teams to solve unique mechanical design and sensor performance challenges to bring next-generation sensing innovation to life. You will use your creativity and range of engineering experience to explore solutions to a variety of engineering problems focused on how mechanical architecture statics and dynamics influence sensor functionality. As a mechanical engineer, you will participate in the design, analysis, and prototyping of new concepts. You will collaborate cross-functionally to solve problems and help optimize designs.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

  • Build verified, calibrated, and validated finite element analysis (FEA) and analytical models for mechanical parts, modules, and assemblies.
  • Conduct static, dynamic, and structural analyses to predict field failures, user interactions, and impacts on sensor functionality.
  • Correlate simulation results with physical performance to drive early design optimization and solve complex failure issues.
  • Explore, validate, and integrate materials, technologies, and simulation methods to advance team capabilities.
  • Partner cross-functionally across product development cycles to create analysis plans, mitigate risks, and deliver data-driven solutions.



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