Mechanical engineering internship jobs in Gilroy, CA

We're ALSO, an electric mobility company originally conceived as a part of Rivian. We're a passionate team of builders, dreamers, doers and innovators, focused on creating entirely new (not to mention, innovative and delightful) vertically integrated, small EVs designed to meet the global mobility challenges of today and tomorrow. Our mission is to inspire everyone to ride ALSO-replacing many local car, truck and SUV miles with ones on vehicles that are more affordable, more enjoyable and 10-50x more efficient. ALSO is seeking a Mechanical Engineering Intern who's excited to work in a fast-paced startup environment and eager to help design and develop the next generation of ALSO vehicles and components. What You Will Do Assist with hands-on prototyping, including 3D printing, basic machining, part finishing, and assembling early hardware for electric bikes and other small EV systems Support mechanical testing and data acquisition, setting up instrumentation (accelerometers, load cells, thermocouples), running test plans, and organizing results. Create and update 3D CAD models and drawings for components and sub-systems using CATIA Participate in bike/vehicle tear-downs, assembly builds, and debug, working with engineers to identify root causes, propose fixes, and validate design changes. What You Will Learn You will learn how to take early-stage micro-mobility concepts from idea to prototype, working closely with experienced engineers on mechanical design, component integration, and testing. You'll gain hands-on exposure to real product-development cycles-CAD modeling, rapid iteration, DFM considerations, and validation methods-within a fast-moving startup environment. What You Will Bring Pursuing a Bachelor's in Mechanical Engineering, Mechatronics, or a related field with an expected graduation date in 2027. Skilled in 3D CAD (CATIA preferred) and familiar with FEA and tolerance analysis. Strong analytical, problem-solving, and hands-on prototyping abilities. Innovative - You love building what doesn't yet exist. Collaborative - You thrive on teamwork and cross-functional problem-solving. Detail-Oriented - You blend creativity with engineering precision. Passionate - You believe in ALSO's mission to make sustainable mobility accessible and fun. What You Will Gain You will gain practical engineering experience that directly shapes next-generation micro-mobility products, along with a deeper understanding of how mechanical, electrical, and software systems converge in modern lightweight transportation design. You'll also build a portfolio of meaningful project contributions, mentorship from industry experts, and the confidence to tackle complex engineering challenges in your future career. Preferred Experience Experience designing or prototyping EV, e-bike, or consumer electronic components. Exposure to GD&T, rapid prototyping methods, and design validation testing. Comfortable with hands-on fabrication, testing equipment, or lab instrumentation. Previous internship or project work in a startup, automotive, or mobility company. The hourly rate for this role ranges from $30.00 to $50.00/hr, based on experience and qualifications. Why ALSO. We're passionate about helping the world find a better way to get there-wherever it is you're headed. We're located in the heart of Silicon Valley and have brought together a world-class team from some of the biggest brands in the technology, automotive, cycling, outdoor recreation and retail spaces. Together we're working hands-on to imagine, design and build an entirely new solution to a global set of transportation challenges. Perks and Benefits Robust health coverage. Excellent health, dental and vision insurance covered up to 100% by ALSO with FSA & HSA options. One Medical membership and dedicated insurance advocates. Rich fertility and family building benefits with Progyny. Flexible time off. 401(k) match.

About the role Summer internships run May-September (depending on school schedules) and are full-time, on-site in San Jose, CA. Being a startup with a small team, breadth is extremely important and we expect this person to dive into structural data, dynamics, thermal design, supplier management, and everything else associated with the full lifecycle of an electromechanical product. As a fast-growing startup, Muon offers interns direct mentorship, real impact, and collaboration with accomplished aerospace professionals. Your contributions will directly shape our programs and success. Responsibilities * Take ownership of or contribute to the design, documentation, build, and test of spacecraft and their components and support equipment * Propose and iterate on the design for mechanical components * Write tests and monitoring to verify performance * Conduct analysis to support both development and testing Qualifications * CAD proficiency in Solidworks or a similar tool. Design of parts and assemblies, basic drawings, Bills of Materials * Creation of project notebooks, slide decks, presentations, Google Sheets * Coursework or relevant experience in several of the following: Design, Mechanics of Materials, Strength of Materials, Control Theory, Vibrations, Heat Transfer, Finite Element Models * Design portfolio of example mechanical projects Nice-to-have Skills * Previous internship or co-op experience * Previous experience on technical project teams * Writing build instructions or test plans * Understanding of physics and orbital mechanics * Experience with testing: strength, stiffness, vibrations, environmental temp/vacuum Salary The hourly wage for this role is $50. About Muon Space Founded in 2021, Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Our revolutionary, integrated technology stack enables customers to optimize every dimension of their missions for faster time-to-orbit and superior constellation remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is optimized for manufacturing spacecraft and rapid, flexible payload integration at scale. From climate monitoring to national security, Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world. Taking Care of Our Team At Muon salary is only part of our total compensation package. In addition to salary, full-time employees receive equity compensation as well as benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid holidays, unlimited sick time and paid parental leave. Our mission embraces the entire planet and we believe our team should too. Muon is dedicated to creating a diverse and dynamic company and workforce. We believe in equal employment opportunity regardless of race, color, ancestry, religion, sex, age, national origin, citizenship, sexual orientation, marital status, disability, or gender identity. We value diversity in the workplace, and that starts with our applicants. We encourage you to apply, even if you don't check all the boxes, and we look forward to reviewing your application! In addition, if you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. ITAR/EAR Requirements This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. The Company may, for legitimate business reasons, decline to pursue any export licensing process.

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Robotics & Surgery Engineering Team is developing our next-generation surgical platform to facilitate bringing our cutting-edge brain implant to more of those in need. We're working on driving surgery time and invasiveness down, while pushing safety and accuracy to their maximums. Job Description and Responsibilities: As a Mechanical Engineering Intern at Neuralink, you will have the opportunity to design and produce hardware solutions for our brain-machine interface devices, including surgical robotics, automation, microfabrication, and more. You will get to own projects from concept to production, utilizing your mechanical engineering background in the challenging field of brain-machine interfaces. The role involves collaboration with neuroscientists, biologists, and engineers to determine design criteria and build systems quickly and effectively. Required Qualifications: 6+ months experience of in the application of technical skills outside of the classroom (examples depending on the role: laboratory, research, extracurricular project teams, open source contributions, volunteering, personal projects or prior internship/work experience) Strong understanding of engineering first principles Preferred Qualifications: 1+ years of mechanical engineering industry experience, including owning products from concept to production Proficiency in Solidworks or similar CAD program Experience with conventional machining and rapid prototyping technologies Experience with precision design and manufacturing Experience with advanced imaging techniques Additional Requirements and Competencies: Available for a Fall 2025 internship (September) or a later season Resourceful, flexible and adaptable; no task is too big or too small You find large challenges exciting and enjoy discovering and defining problems as much as solving them You deliver. You may enjoy thoughtful conversations about problems and perfecting designs, but in the end, you know that what matters is delivering a manufacturable solution that works every time You are a cross-disciplinary team member. You are excited to work with and learn from software, mechanical, electrical, materials, biological engineers, and neuroscientists. You are comfortable communicating across teams Expected Compensation: The anticipated hourly rate for this position is listed below. California Hourly Flat Rate: $35/Hr USD What We Offer: Full-time employees are eligible for the following benefits listed below. An opportunity to change the world and work with some of the smartest and most talented experts from different fields Growth potential; we rapidly advance team members who have an outsized impact Excellent medical, dental, and vision insurance through a PPO plan Paid holidays Commuter benefits Meals provided Equity (RSUs) *Temporary Employees & Interns excluded 401(k) plan *Interns initially excluded until they work 1,000 hours Parental leave *Temporary Employees & Interns excluded Flexible time off *Temporary Employees & Interns excluded

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Mechanical Engineering or a related field. Strong academic record. Proficiency in CAD software (e.g., SolidWorks, AutoCAD) is preferred. Basic understanding of mechanical principles and design techniques. Strong problem-solving and analytical skills. Ability to work collaboratively in a team environment. Excellent communication and interpersonal skills. Eagerness to learn and take on new challenges. Proficiency in the English language, including the ability to listen, understand, read and communicate effectively both in writing and verbally in a professional environment. Prior internship or project experience in a related field is a plus.

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. We are looking for a Mechanical Engineering intern for Winter 2026 to design, test, and implement key hardware components for our humanoid robot. This internship is designed for students in their final year of an undergraduate or master's program, as well as recent graduates who are on track to complete their degree by the end of 2026, or the following year. Responsibilities: Design parts in 3D CAD that satisfy load conditions, industrial design form factors, and durability requirements Build and test prototypes to validate mechanical concepts and performance Generate accurate 2D drawings using GD&T per ASME Y14.5 to ensure tight tolerances and proper fits Design and build test stands; support mechanical engineering and systems integration teams with hands-on testing Inspect first articles, track part quality, and continuously support parts on robot development platforms Support electromechanical integration, including components such as sensors and motors Requirements: Must submit a portfolio or website of relevant projects and your role Pursuing a degree in Mechanical, Robotics, Mechatronics, or a related engineering field, having completed at least two years by the start of the internship Experience using 3D CAD software to design parts with complex geometry Experience designing, building, and testing mechanical prototypes Strong mechanical aptitude and hands-on experience with hardware projects Ability to write and maintain clean documentation throughout the design process Passion for robotics and hardware development Bonus Qualifications: CATIA V6 experience Familiarity with manufacturing processes and first article inspection Experience with sensors, motors, or electromechanical systems Exposure to FEA, simulation tools, or basic programming (e.g., Python, MATLAB)

Mechanical Engineering Technician, Robot Services Palo Alto, CA (on-site) We build humanoid robots that work alongside people to solve labor shortages and create abundance. The Role As a Mechanical Engineering Technician on the Robot Services team, you will disassemble, diagnose, repair, and reassemble complex humanoid robot components. Your work will directly influence design improvements and reliability enhancements across our robots. This is a hands-on, in-person role with growth opportunities into mechanical engineering positions. You Will Perform precision disassembly and repair of micro-scale mechanical assemblies Rework delicate components requiring sub-millimeter precision Diagnose mechanical failures using hands-on inspection and diagnostic tools Conduct functional testing and validate repaired components to exact standards Collaborate with engineers to document failures and recommend design updates Create detailed technical documentation for repair procedures and assembly sequences Job requirements Must Have Hands-on experience with precise mechanical work (electronics repair, mechanical assembly, watchmaking, or similar) Manual dexterity and skill with intricate assemblies Experience with precision hand tools (fine crimping, pinning, fastening) Proficiency in using measurement tools (calipers, micrometers, gauge pins) Basic command-line or terminal experience for diagnostics Strong troubleshooting instincts and attention to detail Ability to work methodically through complex repair processes Comfortable performing physical tasks including setup and post-processing Able to work on-site in Palo Alto full-time Clear communicator with the ability to relay findings to engineering teams Benefits & Compensation Salary Range: $35 - $70 per hour Health, dental, and vision insurance 401(k) with company match Paid time off and holidays Equal Opportunity Employer 1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law. On-site Palo Alto, California, United States $40 - $70 per hour Robot ServicesAll done! Your application has been successfully submitted! Other jobs

What to Expect Heron Power is a startup company building cutting-edge power electronics for the 21st-century grid. We aim to debottleneck the growth of electricity generation and consumption with scalable, innovative, and less costly hardware solutions, accelerating the electrification of everything. Our first goal is to build better converters (inverters & rectifiers) to connect large-scale renewables, storage, and loads to the grid. Heron Power's leadership team is made up of seasoned veterans who have designed and shipped gigawatts of power conversion products over the past decade. We understand that no one individual knows everything. We will all learn a lot together and from each other. We strive to build a collaborative, enriching environment conducive to personal, technical, and career growth. You can expect to work in a dynamic and collaborative environment, driven by first principles engineering, solving difficult problems. Job Overview *This role is for the winter or spring term, starting in January, February, or March. As a Mechanical Engineer Intern, you will work alongside a team of experienced engineers to design, develop, and validate cutting-edge medium-voltage power electronics systems. You will design a wide range of associated parts and assemblies using a first principles design approach. Your role will involve performing a variety of tasks, including CAD, analysis, prototyping, testing, and hands-on work. You will collaborate closely with electrical, test, and manufacturing engineering teams, as well as external suppliers. This internship is ideal for students passionate about mechanical design and electronics who are excited to build scalable, efficient, and reliable energy systems that will shape the future of the grid. How You Will Contribute · Design parts and assemblies for power converters, such as enclosures, plastics, heatsinks, insulators, transformers, connectors, PCBAs, bolted joints, and adhesive joints · Employ manufacturing processes such as fastening, sheet metal bending, stamping, injection molding, diecasting, extruding, and dispensing · Design with a first principles approach, optimizing parts through analysis (e.g. structural, thermal, tolerance) · Create 3D designs and 2D drawings using CATIA V6/3DX · Perform hands-on work such as prototyping and testing · Collaborate with different engineering disciplines, including mechanical, electrical, manufacturing, and reliability teams, as well as external partners and suppliers · Own parts and assemblies from initial concept to high volume production What You Will Bring We have a short list of must-have requirements. We prioritize a strong grip on first principles, hands-on skills, and a sense of initiative. Domain-specific knowledge and experience will help determine the career level for each hire. Must-Have Requirements · Currently pursuing a Bachelor's, Master's, or PhD in Mechanical Engineering, Mechatronics, or a related field (and will maintain student status throughout the duration of the internship) · Strong history of designing mechanical parts or assemblies through individual or group projects (recommend showcasing examples of past work with a website or PDF portfolio) · Proficiency with at least one 3D CAD program (bonus if there is experience with CATIA V6/3DX) · Strong engineering fundamentals including a basic understanding of electronics · Familiarity with a first principles design approach · Excellent communication and interpersonal skills · Ability to work independently and as part of a team · Strong problem-solving skills and attention to detail Nice-to-Haves · Prior internship, co-op, or research experience in mechanical design or validation. · Experience with high volume manufacturing and processes such as fastening, sheet metal bending, stamping, injection molding, diecasting, extruding, and dispensing · Experience with PCBAs, connectors, fuses, and other electronic components · Experience designing outdoor-rated industrial enclosures · Experience with FEA, CFD, multi-physics modeling, or associated software (Ansys, MATLAB, Python, Simulink, StarCCM, etc.) · Experience with GD&T and tolerance analysis · Experience with reliability and validation testing, as well as DFMEAs · Experience with product lifecycle management (PLM) and controlled release processes · Experience with medium voltage (34.5kV) or grid-related products, such as converters, switchgear, circuit breakers, insulation, and shielding If you are passionate about technology and enjoy working in a fast-paced environment, we would love to hear from you. Join us in accelerating the electrification of everything at Heron Power.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team Join our innovative engineering team focused on building next-generation AI/ML solutions. You'll collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their flawless operation. Your Impact Dive into the development and implementation of innovative generative AI applications using the latest large language models-think GPT-4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs). Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment. Collaboration is at the heart of this role-work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment. Experimentation with new technologies and ongoing learning are always encouraged. Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life. What an exciting place to grow and make an impact! Minimum Qualifications * Currently enrolled in an undergraduate degree program in a relevant field, such as Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related discipline. * Previous experience with model building, AI/LLM development, and programming in Python, SQL, or Go, including the use of common AI libraries, in an academic, project, or professional capacity. * Able to legally live and work in the country for which you're applying, without visa support or sponsorship. Preferred Qualifications * Experience with cloud-native solutions, Docker container orchestration, or modern rapid deployment platforms. * Knowledge of data pipeline design, tools, and maintenance. * Exposure to AI security, cybersecurity, or AI validation techniques (e.g., Guardrail). * Familiarity with MCP/Agent workflows or supply chain processes. * Experience contributing to AI-focused platforms or open tools (e.g., AI Defense Open Tools Portal, AI-SPM), data science toolkits such as Pandas, NumPy, SciPy, or Scikit-learn, and an understanding of Natural Language Processing (NLP) concepts. ProductIntern26 Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Top reasons to work for my client. Do you want a chance to work the world's leading electronic measurement company? Do you want a chance to work with all levels including Executives? Do you want to work with a stable company that has over 9,500 employees and serves customers in more than 100 countries? Do you want to work for an organization that has tremendous career advancement including paid training and certifications? Do you want to have a position where you have autonomy and an awesome work environment? Job Type : Full Time Location : Santa Clara, California Pay : Great Pay Job Description What you will be doing: Identify emerging photonic packaging or mounting technologies and how they can best be harnessed for Keysight. Invent and design optical or photonic packaging and mounting concepts or implementations to significantly impact Keysight's businesses. Implement innovative concepts in prototype hardware to prove feasibility. Work with Keysight's businesses to transfer the technology into commercial products. Collaborate closely with team members to foster rapid innovation. Experience you will need: Minimum 10 years of experience and a B.S., or 5 years of experience and a M.S., or 3 years and a Ph.D. degree in a relevant field (e.g., Mechanical Engineering, Optical Engineering, Physics, etc.). Demonstrated ability to create innovative mechanical engineering solutions for optical or photonic applications. Deep understanding of machining principles and processes. Experience designing tooling and fixtures. Hands-on work experience in a laboratory setting and proficiency in using inspection equipment. Extensive experience with 3D CAD software (e.g., Siemens NX), FEA analysis tools, and physical prototyping. Opto-mechanical or photonics packaging design experience. Strong written and verbal English communication skills. Proficiency documenting designs for fabrication including experience with GD&T. Self-motivated with an ability to work collaboratively in a multi-disciplinary team. Our client asked me to submit 3 great people within the next few days. We work directly with the hiring manager and can arrange interviews within a few days #INDEH123

Job DescriptionOptical-Mechanical Research Engineer Applied R&D (On-Site) Northwest Talent Solutions is partnering with a confidential global technology organization to hire an Optical-Mechanical Research Engineer for an applied research team focused on next-generation test, measurement, and photonics technologies. This role is ideal for engineers who enjoy working at the intersection of precision mechanical engineering, optics/photonics, and hands-on laboratory experimentation, and who want to see research ideas move from concept to prototype and into commercial products. What You'll Do: Design and develop innovative opto-mechanical and photonics packaging solutions for advanced hardware systems Identify emerging optical and photonic mounting or packaging technologies and evaluate their applicability Perform mechanical design, analysis, simulation, and tolerance studies using modern CAD and FEA tools Build and test prototype hardware to validate feasibility and performance Collaborate closely with multidisciplinary teams spanning optics, photonics, electronics, and software Support the transfer of successful research concepts into manufacturable, commercial products Document designs clearly for fabrication, inspection, and assembly, including GD&T What We're Looking For: Bachelor's degree with 10+ years of experience, master's degree with 5+ years, or PhD with 3+ years in Mechanical Engineering, Optical Engineering, Physics, or a related field Demonstrated experience designing mechanical systems for optical or photonic applications Strong understanding of precision machining processes, materials, and tolerances Hands-on laboratory experience with prototyping, measurement, and inspection equipment Advanced proficiency with 3D CAD tools, FEA, and physical prototyping workflows Experience documenting designs for fabrication, including GD&T Strong written and verbal communication skills Ability to work collaboratively in a fast-paced, research-oriented, on-site environment Nice to Have: Experience with opto-mechanical or photonics packaging Familiarity with photonic integrated circuits (PICs) Experience designing tooling or fixtures for alignment, assembly, or bonding of optical components Exposure to optical design or ray-tracing tools (e.g., Zemax, Code V, or similar) Knowledge of MEMS, NOEMS, or lab automation and data acquisition Work Environment: Fully on-site role requiring close collaboration with research and engineering teams Access to well-equipped laboratories, precision machining resources, and advanced simulation tools Relocation assistance may be available for qualified candidates This opportunity is well-suited for engineers who are curious, hands-on, and motivated to create innovative technologies that have real-world impact.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. This internship role will be based out of Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn is seeking innovative and motivated PhD students to join our team as Generative AI Engineering Interns. As a part of our AI/ML teams, you will work on advancing the frontier of Generative AI, applying cutting-edge techniques in areas such as text generation, image synthesis, multimodal models, evaluation frameworks, and reinforcement learning. You'll collaborate with a dynamic group of AI researchers and engineers to develop scalable, production-ready models that impact LinkedIn's products and user experiences. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation. Our mission is crystal clear: to elevate the LinkedIn member experience through the implementation of cutting-edge technologies that enable advanced cognitive understanding of multimedia content. Whether it's text, images, videos, ads, or live content, we are leading the way in developing state-of-the-art large vision language technologies. Candidates must be currently enrolled in a PhD program, with an expected graduation date of December 2026 or later. Our internships are 12 weeks in length and will have the option of two intern sessions: + May 26th, 2026 - August 14th, 2026 + June 15th, 2026 - September 4th, 2026 Responsibilities: + Conduct research and development on state-of-the-art Generative AI models, including transformers, diffusion models, GANs, and autoregressive architectures + Apply advanced Generative AI techniques to a variety of tasks such as text generation, creative content generation, conversational agents, and multimodal learning + Develop and implement large-scale, production-quality Generative AI systems that integrate with LinkedIn's platform + Design and implement evaluation frameworks for AI models, including metrics, datasets, and pipelines for automated testing and benchmarking + Collaborate with product teams to build innovative AI-driven user experiences, from personalized content to conversational agents + Contribute to internal frameworks for human-in-the-loop annotation and preference modeling Basic Qualifications: + Currently pursuing a PhD in computer science, statistics, mathematics, electrical engineering, machine learning, or related technical field and returning to the program after the completion of the internship + Proven research experience in Generative AI, including LLMs, GANs, VAEs, diffusion models, or similar architectures + Knowledge of generative models, neural networks, and probabilistic methods for AI + Proven experience with programming languages such as Python and machine learning libraries like TensorFlow or PyTorch Preferred Qualifications: + Proven track record in developing machine learning algorithms for solving computer vision and graphics problems (e.g., generative models for images and videos), as well as prototyping invented algorithms + Experience with multimodal learning, combining visual and textual data in Generative AI systems + Knowledge of reinforcement learning applied to Generative AI tasks + Hands-on experience deploying generative models in production environments + Publication record in AI/ML conferences (e.g. NeurIPS, ICML, CVPR, ICCV) + Proficiency in Python and deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) + Involvement in consumer-facing product development and design + Understanding of configuration management techniques and tools + Proven proficiency with command of algorithms and data structures + Excellent communication skills Suggested Skills: + Machine learning and deep learning + Advanced data mining + Strategic thinking and problem-solving capabilities LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $62 to $75 per hour. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************* . **Equal Opportunity Statement** We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: + Documents in alternate formats or read aloud to you + Having interviews in an accessible location + Being accompanied by a service dog + Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **Pay Transparency Policy Statement ** As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** **Global Data Privacy Notice for Job Candidates ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

About the role Summer internships run May-September (depending on school schedules) and are full-time, on-site in Mountain View and San Jose, CA. Being a startup with a small team, breadth is extremely important and we expect this person to dive into thermal simulations, test, hardware identification, data analysis, and everything else associated with the full lifecycle of a spacecraft thermal control subsystem. As a fast-growing startup, Muon offers interns direct mentorship, real impact, and collaboration with accomplished aerospace professionals. Your contributions will directly shape our programs and success. Responsibilities Take ownership of or contribute to the design, analysis, documentation, and test of spacecraft thermal control subsystem and its components Propose and iterate on improvements for new and existing thermal hardware Write and monitor thermal tests to characterize performance Conduct analysis to support development and testing Qualifications Experience with thermal test and analysis Test planning and execution, creation of slide decks, presentations, Google Sheets Coursework or relevant experience in several of the following: Thermodynamics, Numerical Analysis, Finite Elements, Software Engineering, Project Engineering Portfolio of example thermal design, analysis, integration, test work Nice-to-have Skills Previous internship or co-op experience Previous experience on technical project teams Experience with Thermal Desktop Understanding of physics and orbital mechanics Experience with thermal testing: development testing, component & system-level Salary The hourly wage for this role is $50. About Muon Space Founded in 2021, Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Our revolutionary, integrated technology stack enables customers to optimize every dimension of their missions for faster time-to-orbit and superior constellation remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is optimized for manufacturing spacecraft and rapid, flexible payload integration at scale. From climate monitoring to national security, Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world. Taking Care of Our Team At Muon salary is only part of our total compensation package. In addition to salary, we provide equity compensation as well as benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid holidays, unlimited sick time and paid parental leave. Our mission embraces the entire planet and we believe our team should too. Muon is dedicated to creating a diverse and dynamic company and workforce. We believe in equal employment opportunity regardless of race, color, ancestry, religion, sex, age, national origin, citizenship, sexual orientation, marital status, disability, or gender identity. We value diversity in the workplace, and that starts with our applicants. We encourage you to apply, even if you don't check all the boxes, and we look forward to reviewing your application! In addition, if you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. ITAR/EAR Requirements This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. The Company may, for legitimate business reasons, decline to pursue any export licensing process.

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: Join the Materials Engineering Team at Neuralink and be part of an elite and diverse team of materials engineers, chemists, and device engineers working on high-performance, biocompatible materials for the next-generation of brain-computer interfaces. We are looking for a materials/mechanical engineer capable of both building realistic mechanical models of material behaviors and performing materials testing with in-house instrumentation. You will be an integral member of a small, fast-moving team with the opportunity to work closely with mechanical engineers and microfabrication experts on system integration and packaging solutions. Job Description and Responsibilities: The Materials Intern will be contributing to the development of high-density, reliable neural interfaces that are at the ground level of brain-computer-interfaces. This is a unique opportunity to work closely with a multi-disciplinary team in an environment where you will have direct impact on the next-gen product. The job responsibilities will include: Build, refine, and use Finite Element Analysis (FEA) models to predict mechanical response, model material behavior under stress, and support material optimization. Use computational models to identify design weaknesses, optimize material selection and geometry, and reduce the need for physical prototyping. Evaluate and test the mechanical properties of implant materials under various adverse conditions to determine their performance and longevity. Operate high-precision testing instruments, including dynamic mechanical analyzers (DMA) and mechanical oscillators Assemble, calibrate, and operate components for Accelerated Lifetime Testing (ALT) systems. Collaborate with interdisciplinary teams to design custom fixtures and develop high-throughput testing equipment, incorporating accelerated aging and mechanical fatigue testing. Required Qualifications: Hands-on experience with mechanical assembly, fabrication, or building and calibrating test equipment. Experience with mechanical design (Solidworks or similar CAD software, etc). Familiarity with the scientific principles of Finite Element Analysis (FEA) involved in analyzing mechanical tests. Experience with the standard mechanical testing equipment (tensile tester, DMA, etc), user interfaces and familiarity with associated test standards (ASTM, etc). 2+ years of hands-on experience with mechanical testing. Preferred Qualifications: Direct experience with FEA software (e.g., COMSOL, Abaqus, ANSYS) to model mechanical behavior. Experience with DMA, TMA, and/or other mechanical-related testing equipment. Experience calibrating and troubleshooting lab instrumentation for mechanical, electrochemical analysis. Experience with instrument operational software in addition to hardware for mechanical testing equipment. Pay Transparency: Based on California law, the following details are for California individuals only: California Hourly Rate: $35/hr USD What We Offer: Full-time employees are eligible for the following benefits listed below. An opportunity to change the world and work with some of the smartest and most talented experts from different fields Growth potential; we rapidly advance team members who have an outsized impact Excellent medical, dental, and vision insurance through a PPO plan Paid holidays Commuter benefits Meals provided Equity (RSUs) *Temporary Employees & Interns excluded 401(k) plan *Interns initially excluded until they work 1,000 hours Parental leave *Temporary Employees & Interns excluded Flexible time off *Temporary Employees & Interns excluded

Figure is an AI Robotics company developing a general-purpose humanoid. Our humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA and require 5 days/week in-office collaboration. We are looking for a Mechanical Engineering Intern for Winter 2026 to support the design, build, and testing of prototype hardware across our integration and test teams. This internship is designed for students in their final year of an undergraduate or master's program, as well as recent graduates who are on track to complete their degree by the end of 2026, or the following year. Responsibilities Design, build, and test prototype mechanical fixtures to validate robot hardware Develop drivelines and test stands for actuator integration and validation Support electromechanical integration with components such as sensors and motors Generate accurate 2D drawings using GD&T per ASME Y14.5 to ensure tight tolerances and proper fits Collaborate with mechanical engineering and systems integration teams on hands-on testing Requirements Portfolio or website showcasing relevant projects and your role Pursuing a degree in Mechanical, Robotics, Mechatronics, or a related engineering field, with at least two years completed by the start of the internship Experience with 3D CAD software for designing complex geometry Background in designing, building, and testing mechanical prototypes Strong mechanical aptitude and hands-on experience with hardware projects Ability to write and maintain clean documentation throughout the design process Passion for robotics and hardware development Bonus Qualifications Experience with CATIA V6 Familiarity with manufacturing processes and first article inspection Exposure to sensors, motors, or electromechanical systems Experience with FEA, simulation tools, or basic programming (Python, MATLAB)

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. **Meet the Team** Join our innovative engineering team focused on building next-generation AI/ML solutions. You'll collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their perfect operation. **Your Impact** Dive into the development and implementation of cutting-edge generative AI applications using the latest large language models-think GPT-4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs). Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment. Collaboration is at the heart of this role-work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment. Experimentation with new technologies and ongoing learning are always encouraged. Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life. What an exciting place to grow and make an impact! **Minimum Qualifications** + Currently enrolled in an undergraduate degree program with 2 years of relevant experience, or currently enrolled in a graduate degree program with 0 years of relevant experience. Relevant fields include: Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program. + Backend development skills in Go or Python, demonstrated through a technical assessment, coding challenge, or code sample. + Understanding of LLM infrastructure and optimization strategies, shown in a technical interview, assessment, or supporting documentation. + Practical experience with model building and AI or LLM tasks, evidenced by a portfolio, code samples, technical evaluation, or academic/research project documentation. **Preferred Qualifications** + Experience with inference engines such as vLLM, Triton, or TorchServe. + Knowledge of GPU architecture, optimization techniques, distributed systems, and asynchronous programming models. + Familiarity with agent frameworks and cloud-native platforms. + Experience with cybersecurity principles and Python programming, including common AI libraries. + Exposure to scalable computing environments and best practices for secure, efficient AI deployment. ProductIntern26 **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

Mechanical Engineering Technician, Robot Services Palo Alto, CA (on-site) We build humanoid robots that work alongside people to solve labor shortages and create abundance. The Role As a Mechanical Engineering Technician on the Robot Services team, you will disassemble, diagnose, repair, and reassemble complex humanoid robot components. Your work will directly influence design improvements and reliability enhancements across our robots. This is a hands-on, in-person role with growth opportunities into mechanical engineering positions. You Will * Perform precision disassembly and repair of micro-scale mechanical assemblies * Rework delicate components requiring sub-millimeter precision * Diagnose mechanical failures using hands-on inspection and diagnostic tools * Conduct functional testing and validate repaired components to exact standards * Collaborate with engineers to document failures and recommend design updates * Create detailed technical documentation for repair procedures and assembly sequences

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description Our internship roles will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We are looking for AI interns to work on our massive semi-structured text, graph and user activity data sets. Build highly scalable, highly performant social graph engines, state-of-the-art full-text search engines, and platforms for recommendation and applied data analytics. You will utilize data mining, information retrieval, and machine learning to perfect your strong systems orientation skills. Candidates must be currently enrolled in a master's degree program, with an expected graduation date of December 2026 or later. Our internships are 12 weeks in length and will have the option of two intern sessions: * May 26th, 2026 - August 14th, 2026 * June 15th, 2026 - September 4th, 2026 Responsibilities: * Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation, or search relevance solutions. * Write production quality code and influence the next generation of LinkedIn's systems. Qualifications Basic Qualifications: * Currently pursuing a M.S. in computer science, statistics, mathematics, electrical engineering, machine learning, or related technical field and returning to the program after the completion of the internship. * Hands-on experience with machine learning, data mining, or statistics. Preferred Qualifications: * Proficient programming skills within large scale projects or professional work experience * Experience or desire to learn Hadoop * Strong command of algorithms and data structures * Proficiency in clustering, collaborative filtering, and classification techniques (Naïve Bayes, SVM, NN, Boosting Methods, etc.) Suggested Skills: * Experience or research in Machine Learning and Deep Learning * Experience working with large data sets and data mining * Strategic thinking and problem-solving capabilities As part of the application process for this role, after an initial qualifications review, candidates are required to successfully complete the HackerRank online code challenge. Instructions for completion of the code challenge will be sent to you if your application is selected to move forward in the process. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $57 to $70. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

About the role Summer internships run May-September (depending on school schedules) and are full-time, on-site in Mountain View and San Jose, CA. Being a startup with a small team, breadth is extremely important and we expect this person to dive into structural data, dynamics, thermal design, supplier management, and everything else associated with the full lifecycle of an electromechanical product. As a fast-growing startup, Muon offers interns direct mentorship, real impact, and collaboration with accomplished aerospace professionals. Your contributions will directly shape our programs and success. Responsibilities Take ownership of or contribute to the design, documentation, build, and test of spacecraft and their components and support equipment Propose and iterate on the design for mechanical components Write tests and monitoring to verify performance Conduct analysis to support both development and testing Qualifications CAD proficiency in Solidworks or a similar tool. Design of parts and assemblies, basic drawings, Bills of Materials Creation of project notebooks, slide decks, presentations, Google Sheets Coursework or relevant experience in several of the following: Design, Mechanics of Materials, Strength of Materials, Control Theory, Vibrations, Heat Transfer, Finite Element Models Design portfolio of example mechanical projects Nice-to-have Skills Previous internship or co-op experience Previous experience on technical project teams Writing build instructions or test plans Understanding of physics and orbital mechanics Experience with testing: strength, stiffness, vibrations, environmental temp/vacuum Salary The hourly wage for this role is $50. About Muon Space Founded in 2021, Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Our revolutionary, integrated technology stack enables customers to optimize every dimension of their missions for faster time-to-orbit and superior constellation remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is optimized for manufacturing spacecraft and rapid, flexible payload integration at scale. From climate monitoring to national security, Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world. Taking Care of Our Team At Muon salary is only part of our total compensation package. In addition to salary, we provide equity compensation as well as benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid holidays, unlimited sick time and paid parental leave. Our mission embraces the entire planet and we believe our team should too. Muon is dedicated to creating a diverse and dynamic company and workforce. We believe in equal employment opportunity regardless of race, color, ancestry, religion, sex, age, national origin, citizenship, sexual orientation, marital status, disability, or gender identity. We value diversity in the workplace, and that starts with our applicants. We encourage you to apply, even if you don't check all the boxes, and we look forward to reviewing your application! In addition, if you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. ITAR/EAR Requirements This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. The Company may, for legitimate business reasons, decline to pursue any export licensing process.

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Brain Interfaces Mechanical Engineering Team is responsible for the design, build, and testing of all mechanical systems in our implant and charger. Our team also develops test infrastructure to accelerate hardware development and manufacturing, designs electronics packaging for our charger and implant electronics, and creates tooling to interface the implant with the surgical robot. Job Description and Responsibilities: As a Mechanical Engineering Intern, you will support the design and production of hardware solutions for our brain-computer interface devices, including components for surgical robotics, automation, microfabrication, and more. You will have the opportunity to contribute to projects at various stages from concept through production, applying your mechanical engineering knowledge in the challenging field of brain-computer interfaces. Additionally, you will be expected to: Design, build, test, and validate systems for the implant and related hardware components Develop and improve manufacturing processes and equipment to support in-house production Scope, design and iterate custom tooling and fixturing required for the implant assembly line Work with Quality, Electrical Engineering, BCI Software, Microfabrication, and Surgery Engineering to define system requirements, verification and validation tests, and more Adhere to aggressive project schedules and ensure timely completion from inception to implementation Required Qualifications: Currently pursuing a Bachelor's or Master's degree in Mechanical Engineering or a related field 6+ months of relevant academic coursework or project experience 9+ months of experience applying technical skills outside the classroom (e.g., personal projects, prior internships, or work experience) 1+ years of Mechanical Design experience Strong understanding of engineering first principles Effective written and verbal communication skills Preferred Qualifications: 1+ years of mechanical engineering industry experience, including owning products from concept to production Familiarity with machining and rapid prototyping technologies Experience with precision design and manufacturing Exposure to medical device design and manufacturing Pay Transparency: The following details are for Texas individuals only. Texas Hourly Rate: $31.50/Hr USD What We Offer: Full-time employees are eligible for the following benefits listed below. An opportunity to change the world and work with some of the smartest and most talented experts from different fields Growth potential; we rapidly advance team members who have an outsized impact Excellent medical, dental, and vision insurance through a PPO plan Paid holidays Commuter benefits Meals provided Equity (RSUs) *Temporary Employees & Interns excluded 401(k) plan *Interns initially excluded until they work 1,000 hours Parental leave *Temporary Employees & Interns excluded Flexible time off *Temporary Employees & Interns excluded