Job description

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Rivian is seeking a Staff Mechanical Design Engineer, Battery Analysis to join the Battery Analysis team within Energy Storage Systems. In this role, you will provide technical leadership for dynamic deformation and thermal-structural CAE of battery packs, modules, and related components. You will use explicit finite-element simulation, thermal-structural analysis, engineering judgment, and test correlation to inform design direction, evaluate crash, impact, durability, and environmental performance, and improve design validation. The ideal candidate combines deep expertise in dynamic deformation (damage) and thermal-structural analysis developing analysis methods, material models, load profiles, and engineering recommendations. You will work across Product Design, Battery Systems, Test, Reliability, Manufacturing, and program teams to translate complex analysis into clear decisions and robust battery designs. Responsibilities Lead dynamic-deformation and thermal-structural CAE for battery pack and module designs across development and validation phases. Design and optimize multi-material vertical stack-ups by balancing high-yield protective layers (such as high-strength steel or composite skid plates) to distribute concentrated impact loads with tailored, energy-absorbing crush buffers (like foam, elastomeric pads, or structural potting) to dissipate peak dynamic forces, control localized intrusion, and prevent critical mechanical stress transfer to internal battery components during severe top or ground strike events. Develop and improve explicit finite-element models for crash, impact, crush, drop, abuse and other transient load cases. Develop and improve FE models for thermal-structural response, including thermal expansion, coupled temperature-mechanical loading and durability-related assessments. Develop and execute Design of Experiments (DOE) to establish structural and thermal sensitivity maps, quantify parameter trade-offs, and define upper- and lower-bound "bookend" performance envelopes that guide early-stage design direction and accelerateprogram decision-making. Execute simulation studies that support design tradeoffs, risk reduction, design verification, and production readiness. Develop and maintain material cards, constitutive models, contact definitions, failure criteria, boundary conditions, mesh strategies, and solution controls appropriate to explicit and thermal-structural analysis. Generate and apply load profiles, including crash and impact pulses, vibration, shock, thermal expansion, durability, and manufacturing-related loads. Evaluate stresses, strains, deformation, energy absorption, intrusion, fatigue, interface loads, and failure risks in structures, potting, adhesives, busbars, current collector assemblies, and related components. Correlate CAE predictions with component, module, pack, and vehicle-level test data; investigate discrepancies and improve model fidelity. Define assumptions, sensitivities, acceptance criteria, and confidence levels for analysis results. Communicate technical findings through clear reports, data packages, reviews, and recommendations for engineering and program stakeholders. Partner with design engineers to identify design, material, manufacturability, and validation risks early enough to influence the product. Support root-cause investigations and corrective actions for structural, thermal-structural, durability, and manufacturing concerns. Establish and maintain reusable analysis workflows, templates, material databases, profile-generation methods, and documentation. Mentor engineers and contribute to technical standards, best practices, and the long-term capability of the Battery Analysis team. Qualifications Bachelor’s degree in Mechanical Engineering, Aerospace Engineering, Civil or Structural Engineering, Materials Engineering, or a related field. Significant professional experience applying CAE to mechanical, structural, thermal-structural, or durability problems in complex products. Strong understanding of mechanics of materials, finite-element methods, nonlinear behavior, thermal expansion, contact, material behavior, energy absorption, and failure modes. Demonstrated hands-on experience using LS-DYNA (preferred) for explicit dynamic analysis, including model setup, contact, material and failure definitions, timestep or mass-scaling considerations, solver controls, and post-processing. Demonstrated hands-on experience using OptiStruct (preferred) for thermal-structural and structural analysis, including thermal loading, material and boundary-condition definition, modal or static response, and interpretation of results. Thermal-to-Structural Data Mapping & Mesh Interpolation: Hands-on experience mapping 3D non-uniform temperature fields from thermal solver grids (e.g., Fluent, STAR-CCM+) onto non-conformal structural FEA meshes (e.g., OptiStruct or LS-DYNA) using spatial spatial-interpolation methods Experience modeling for assemblies containing metals, polymers, adhesives, foams,potting materials, or similar interfaces. Experience developing or applying crash, impact, crush, drop, vibration, shock, durability, thermal, or manufacturing load cases. Experience correlating simulation results with physical test data and using the findings to improve models or design decisions. Working knowledge of engineering drawings, geometric dimensioning and tolerancing, material properties, and design-for-manufacturing considerations. Ability to communicate complex technical topics clearly to both technical and non-technical audiences. Ability to execute multiple projects, make evidence-based recommendations, and deliver against program timing. Demonstrated ability to work effectively with cross-functional teams and provide technical direction without relying on formal authority. Preferred Qualifications: Master’s or Ph.D. in Mechanical Engineering, Aerospace Engineering, Structural Engineering, Materials Engineering, or a related field. Experience with battery packs, modules, cells, current collector assemblies, busbars, potting, adhesives, thermal management, or high-voltage energy-storage systems. Experience with thermal-mechanical or coupled multiphysics analysis. Experience with fatigue, random vibration, shock response, response-spectrum methods, PSD development, or damage calculations. Experience with crash, impact, large-deformation, vehicle bottom structure protection like skid plates and dynamic intrusion of composite materials. Experience creating automated workflows, post-processing tools, or engineering data pipelines. Experience executing multi-disciplinary design optimization (MDO) using tools like LS-OPT, HEEDS, or OptiStruct to concurrently balance structural mass, dynamic energy absorption, and thermal deformation across complex, multi-material battery assemblies. Experience developing material models or material cards from coupon, component, or supplier data. Advanced experience with LS-DYNA and OptiStruct; proficiency with HyperMesh, Ansa or comparable pre- and post-processing tools. Experience with Abaqus, ANSYS, NCode, MATLAB, Python, or comparable CAE and data-analysis tools. Experience leading technical reviews, mentoring engineers, and establishing analysis standards across programs. Pay Disclosure The salary range for this role is USD 137,800 - 172,200 for California based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs. The successful candidate may be eligible for annual performance bonus and equity awards. We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com. You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee). This job is not expected to be closed any sooner than September 20, 2026 Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy and Technology Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role. AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate. Participation in AI profile matching is entirely voluntary. If you prefer that your profile not be used in this process, you can opt out at any time. Opting out means your profile will be excluded from automated matching and will not be surfaced for additional roles through this system. Your current application remains active and will not be affected in any way. Please note that we are currently not accepting applications from third party application services.

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