Responsibilities
- Set up and run FEM analyses: linear/nonlinear static, modal transient, random, frequency response, explicit, durability.
- Analyze vibrational behavior, derive FRFs, and interpret mode shapes to optimize performance.
- Apply DOE, response surfaces, optimization, and uncertainty analyses to explore design space and quantify risk.
- Plan and perform tests for model correlation and validation.
- Partner with test teams on accelerated life testing, translating field data into test requirements and simulation inputs.
- Script pre/post-processing (Python, MATLAB) to scale studies and improve modeling quality.
- Document standards, templates, and best practices; propose new methods to capture physics and speed up iteration.
- Work closely with product development, manufacturing, supplier quality, and production teams, guiding decisions with technical data.
- Deliver clear reports and presentations explaining assumptions, modeling choices, limitations, and design implications.
Requirements
- Bachelor’s degree in Mechanical, Mechatronics, or related engineering field.
- Strong understanding of FEM fundamentals, with hands-on experience.Ability to explain model behavior and link results to underlying physics.
- Experience in test-based model calibration/validation and correlating simulation with experimental data.
- Knowledge of fatigue analysis and durability assessment.
- Proficiency in Python and/or MATLAB for data processing, automation, and custom tool development.
- Strong communication skills and ability to collaborate in a multidisciplinary environment.
- Proactive, self-directed learner who goes beyond the brief to resolve issues.
- Advanced English level.
- Live in or have availability to move to São Paulo.
Bonus points
- Expertise in vibration and structural dynamics.
- Experience in optimization, robust/stochastic design, and uncertainty quantification.
- Hands-on experience with FEA pre-processing tools and solvers (e.g., Abaqus, Ansys, OptiStruct, Nastran, Radioss, HyperMesh/ANSA).
Skills Required
- Bachelor's degree in Mechanical, Mechatronics, or related engineering field
- Strong understanding of FEM fundamentals, with hands-on experience
- Experience in test-based model calibration/validation
- Knowledge of fatigue analysis and durability assessment
- Proficiency in Python and/or MATLAB
- Strong communication skills and ability to collaborate
- Proactive, self-directed learner
- Advanced English level
- Live in or have availability to move to Sao Paulo
What We Do
Tractian is a machine intelligence company that offers industrial monitoring systems. Tractian builds streamlined hardware-software solutions to give maintenance technicians and industrial decision-makers comprehensive oversight of their operations. It is democratizing access to sophisticated real-time monitoring and asset operations tools. Tractian's solutions are used in environments that address a combined total of 5% of global industrial output. The company’s broad market reach is evidenced in its customer base from various industries, such as John Deere, Procter & Gamble, Caterpillar, Goodyear, Carrier, Johnson Controls, and Bimbo, the owner of the brands Little Bites and Thomas Bagels. Tractian's customers see a 6-12x ROI with savings of $6,000 per monitored machine annually on average. In a major milestone and a first for the industry, Tractian launched the AI-Assisted Maintenance category in the industrial sector. In this new paradigm, artificial intelligence identifies machine problems and suggests preventive actions to be taken, giving invaluable insight and support to maintenance professionals. It is important to highlight that the intent of Assisted Maintenance is firmly rooted in augmenting maintenance professionals to provide more assertive diagnosis with human-in-the-loop feedback. Tractian's mission is to elevate this category of workers in a highly impactful way. The Assisted Maintenance category will provide unimaginable support for maintenance professionals. By combining shop floor expertise with our technology, maintainers will be able to anticipate and address issues with unprecedented accuracy and speed
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