Mechanical engineering internship jobs in Salinas, CA

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.

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 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)

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 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.

We can't predict what the future holds, but we know Texas Instruments will have a part in shaping it. As a Design Verification intern in this group, you will be responsible for: Developing detailed verification plans while working closely with the design and system team to ensure pre- silicon verification success Developing test benches, tests and simulations to DUT behavior Running coverage regressions to meet the defined coverage goals for SystemVerilog functional coverage models of mixed-signal circuits for voltages and currents, real numbers, integers, and traditional digital functional coverage. Tracking and communicating verification status, issues, and concerns Work with regression tools and develop scripts to submit cases for regression analysis Utilize RTL and Gates+SDF, including verifying chip-level timing between analog and digital circuits. Constrained-random stimulus and auto-checking verification environments, especially constrained-random analog stimulus. Contribute to continuous improvements for quality and efficiency on DV strategy, tools, methods and flows Put your talent to work with us as a Design Engineer Intern - change the world, love your job! Qualifications Minimum requirements: Currently pursuing a graduate degree in Electrical Engineering, Computer Engineering or Electrical & Computer Engineering Cumulative 3.0/4.0 GPA or higher Preferred qualifications: Ability to establish strong relationships with key stakeholders critical to success, both internally and externally Strong verbal and written communication skills Ability to quickly ramp on new systems and processes Demonstrated strong interpersonal, analytical and problem-solving skills Ability to work in teams and collaborate effectively with people in different functions Ability to take the initiative and drive for results Strong time management skills that enable on-time project delivery

The Data-Speech department is dedicated to the research and development of core AI technologies and product innovation related to speech, audio, and music. The department supports the entire content pipeline - from production and editing to consumption - empowering content creation and interaction. Operating as a central platform, the team provides cutting-edge technological capabilities and solutions to multiple business units across the company. As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests. Applications will be reviewed on a rolling basis - we encourage you to apply early. Successful candidates must be able to commit to at least 3 months long internship period. Job Responsibilities 1. Conduct booth checks on recording studio setups to ensure recording environments meet technical and quality requirements. 2. Monitor recording sessions to maintain consistent speaker performance, ensuring alignment with the reference, and perform mid-session sound checks to verify audio quality. 3. Draft casting documentation, evaluate first-round auditions to filter unsuitable samples, and organize audition materials for review and second-round requirements. 4. Perform audio/performance checks on final edits, verifying compliance with booth test standards, stylistic consistency, and intonation accuracy against reference files. Upload and log processed data, prepare documentation for vendor segmentation and alignment, and organize aligned data for training use. 5. Assist in creating and recording evaluation test sets, review vendor-submitted evaluation results, and prepare detailed evaluation reports.Minimum Qualifications: 1. Currently enrolled in an undergraduate or graduate program in Audio Engineering, Sound Design, Music Technology, Acoustics, or a related discipline. 2. Proficiency in Digital Audio Workstations (DAWs) such as Pro Tools, Logic Pro, or Adobe Auditions, along with hands-on experience operating sound boards and studio recording equipment. Strong technical skills in audio editing are essential for ensuring clean, consistent, and high-quality recordings. 3. Solid understanding of English dialogue delivery, with some experience in ADR or voice recording. Able to evaluate whether performances are expressive enough and accurately match the reference tracks. Preferred Qualifications: 1. Relevant experience in TTS or LLM. 2. Some experience in programming, including but not limited to C, C++, Java and Python. 3. Familiarity with local popular culture associated with the target language.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe seeks a Machine Learning Engineer to enhance customer experiences through AI and generative technologies. This is an exciting internship opportunity inside Adobe Firefly's applied research organization. You will be surrounded by amazing talents who build the Firefly family of models from research inception all the way to production. We offer internship roles situated at different stages of the development pipeline from fundamental research to advanced development to production engineering directly shaping the training and integration of Firefly production models. Your role will center on pioneering data, models, applications and scientific evaluation that shape the future of technology in the realms of images, videos, language and multimodal models. Join us in reshaping the future of technology and customer experiences at Adobe! What You'll Do * Work towards results-oriented research goals, while identifying intermediate achievements. * Contribute to research and advanced development that can be applied to Adobe product development. * Help integrating novel research work into Adobe Firefly product. * Lead and collaborate on projects across different teams. What You Need to Succeed * Currently enrolled full time and pursuing a Master's or PhD in Computer Science, Computer Engineering, Electrical Engineer or related fields.1 + years of experience in computer vision or natural language processing or machine learning * Some experience in Generative AI * Experience communicating research to public audiences of peers. * Experience working in teams. * Knowledge in Python and typical machine learning development toolkits. * Ability to participate in a full-time internship between May-September. If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

About the Role: We are seeking a SAP Prompt Engineer Intern to join Align Technology's dynamic team. This role is ideal for graduate students from any accredited college who are passionate about SAP systems and AI-driven solutions. You will work closely with technical and functional SAP teams to design, optimize, and implement prompt engineering strategies that enhance automation and efficiency within SAP environments. Key Responsibilities: * Collaborate with SAP functional and technical teams to understand business processes and system requirements. * Develop and refine prompts for AI tools (e.g., ChatGPT, Gemini) to support SAP-related tasks, including configuration and development workflows. * Assist in creating intelligent solutions for SAP ECC and S/4HANA environments using prompt engineering principles. * Support customization and development activities, leveraging ABAP programming where applicable. * Document prompt strategies, test cases, and best practices for future scalability. Required Qualifications: * Currently enrolled in a graduate program at an accredited college or university. * Hands-on experience with AI tools such as ChatGPT, Gemini, or similar platforms. * Basic understanding of prompt engineering concepts and their application in enterprise systems. * Strong analytical and problem-solving skills with attention to detail. Preferred Skills: * Familiarity with SAP architecture, including functional (configuration) and technical (customization, development) streams. * Knowledge of ABAP programming language (highly desired). * Exposure to S/4HANA (a plus), though experience with ECC is valuable. * Understanding of core SAP configuration processes for functional roles. What We Offer: * Opportunity to work on cutting-edge AI and SAP integration projects. * Mentorship from experienced SAP and AI professionals. * Hands-on experience in a global technology-driven organization. Would you like me to also create a short version for job boards (e.g., LinkedIn, Handshake) or draft an evaluation rubric for screening candidates? .

Work and train with the industry's finest professionals! Flatiron's Intern Program provides challenging and rewarding work opportunities for college students majoring in Civil Engineering, Mechanical Engineering and Construction Management. As an Intern, you will be given the opportunity to apply your academic training and skills in a real-world setting at any number of project locations. In addition, you will assist the project manager, project engineer, and the rest of the on-site construction staff in the application of principles, methods, and techniques of engineering technology by performing any combination of the following duties at a project job site. Field engineer interns will be required to have a working knowledge of the entire project, including plan interpretation, project specifications, project cost code knowledge, and the overall construction schedule. In performing any number or combination of the following tasks, you shall support published corporate policies, set a productive and consistent work example, and be responsible to follow up on all tasks assigned. What you will be doing Assist with evaluation of field conditions and acceptance testing Support quality assurance and quality control engineering materials testing Apply survey knowledge to assist with project layout and checking of work to confirm work is in conformance with plans and specifications Review project drawings and coordinate any design changes Provide document control assistance for correspondence, submittals, design releases etc. Initiate engineering design clarifications Perform quantity tracking and productivity analysis for maximization of operation efficiency Assist with preparing and updating project schedule and interact will all involved in scheduling decision processes Respond to field for design clarification, and manage subcontractors field operations and verify contract payments Provide design assistance to the project engineer for the design of temporary structures using computer aided design tools What we are looking for Field engineer interns/co-ops are required to be currently enrolled in Engineering, Construction Management or a similar undergraduate program at an accredited technical college or university Why work for us Some of the benefits you may be eligible for as an employee are: Comprehensive compensation package and paid time off program Industry leading 401(k)/RRSP Medical/Extended Health Care, Dental, Vision and/or Provincial Medical Wellness benefits & Employee Assistance Program Tuition Reimbursement Program We are an EEO/ADA/Veterans employer. Salary Min USD $26.00/Hr. Salary Max USD $30.00/Hr.

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)

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.

Change the world. Love your job. As a analog IC design engineering intern, you'll architect new TI products and make our customers' visions a reality. You'll define, design, model, implement and document analog, digital, and RF integrated circuits (ICs). And, you'll have the opportunity to work in exciting areas like audio, imaging, high-speed, interface, clocking, medical, high volume linear, automotive, storage, power supply, battery management, linear power and many more. Some of your responsibilities will include, but will not be limited to: Partnering with business teams and system engineering to develop mutually agreeable design specifications Providing high-level analysis on chip architecture trade-offs to ensure spec compliance and superior performance at a competitive cost Participating in design reviews and creating the necessary design and product documentation Supervising IC layouts to ensure a high-performance standard Characterizing prototypes, developing test specifications and coordinating with test/product engineering to drive product releases Driving behavioral models Put your talent to work with us as a Design Engineer Intern ! Texas Instruments will not sponsor job applicants for visas or work authorization for this position. Qualifications Minimum requirements: Currently pursuing an undergraduate degree in Electrical Engineering, Computer Engineering or Electrical & Computer Engineering Cumulative 3.0/4.0 GPA or higher Preferred qualifications: Ability to establish strong relationships with key stakeholders critical to success, both internally and externally Strong verbal and written communication skills Ability to quickly ramp on new systems and processes Demonstrated strong interpersonal, analytical and problem-solving skills Ability to work in teams and collaborate effectively with people in different functions Ability to take the initiative and drive for results Strong time management skills that enable on-time project delivery

We are a tool team focused on improving platform efficiency of international monetization platforms. Our core mission is to empower the QA (Quality Assurance) and RD (Research and Development) teams by developing a series of tools closely related to quality and efficiency. We help them achieve dual improvements in work efficiency and quality in their daily work, and promote the smooth and efficient operation of the entire R&D process. We encourage the exploration and application of cutting-edge AI tools and are committed to integrating advanced technologies into the development of efficiency tools. As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests. Applications will be reviewed on a rolling basis - we encourage you to apply early. Successful candidates must be able to commit to at least 3 months long internship period. Responsibilities 1. Deeply understanding the pain points and needs of the QA and RD teams in their work, participate in the design and development of targeted efficiency tools, including but not limited to test management tools, automated build tools, code quality analysis tools, etc., to provide support for improving efficiency and quality from a technical perspective. 2. Participate in the full lifecycle management of tools, including requirement analysis, architecture design, coding implementation, test optimization, and subsequent maintenance and iterative upgrades, and assist in ensuring the stability, usability, and efficiency of the tools. 3. Assist in maintaining close communication and collaboration with the QA and RD teams, collect feedback on tool usage, participate in continuously optimizing tool functions to make them more suitable for actual work scenarios, and maximize the role of tools in improving work efficiency and quality. 4. Participate in researching advanced concepts and technologies in the field of efficiency tool development in the industry, especially the exploration and application of cutting-edge AI tools. Combine the actual situation of the team to provide suggestions for technical selection and innovation, and help improve the technical level of the team's tool development and the competitiveness of the tools. 5. Assist in formulating standards and specifications for tool development, promote the standardization of the internal development process of the team, and ensure the quality and efficiency of tool development.Minimum Qualifications: 1. Currently enrolled undergraduate or graduate student in a computer-related major, with an internship duration of no less than 3 months. 2. Master at least one mainstream programming language, such as Java, Python, Go, etc., with a certain programming foundation and good learning ability. 3. Have a certain understanding of software R&D processes and DevOps concepts, and those who understand the working modes and needs of the QA and RD teams are preferred. 4. Interested in test tools, automated tools, efficiency analysis tools, etc., and those with relevant development experience or project experience are preferred. Preferred Qualifications: 1. Have a certain ability to analyze and solve problems, and can actively respond to and assist in solving technical problems in the use of tools. 2. Have good communication and collaboration skills and team spirit, be proactive, be willing to accept challenges, have a strong passion for improving team efficiency, and have the desire to explore cutting-edge AI tools.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity The Enterprise Marketing Data Engineering team at Adobe is transforming the convergence of data, AI, and marketing for advanced B2B interactions. Our objective is to construct the data and AI framework underpinning Adobe Experience Platform (AEP), Real-Time Customer Data Platform (RTCDP), and Customer Journey Analytics (CJA) to enable accurate audience segmentation. Become part of the Enterprise Marketing Data Engineering AI Intern team working on AI-based agents for new marketing products. Explore building marketing data ecosystems, using generative AI for quick insights, and crafting scalable data pipelines and models for actionable enterprise AI. Collaborate with engineers and data scientists on modern technologies like Databricks, Spark, AEP, Python, and extensive data modeling to contribute to Adobe's marketing technology evolution. All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities. What You'll Do * Collaborate with senior engineers to develop and optimize data pipelines powering marketing products driven by artificial intelligence. * Engage in tasks related to Adobe Experience Platform (AEP) and Real-Time CDP for the structuring and handling of extensive data sets. * Support the development of AI-based agents that bring to bear large language models to interpret, query, and analyze marketing data. * Support data quality, transformation, and enrichment processes within Adobe's marketing data ecosystem. * Develop prototypes illustrating how AI can boost marketing performance, personalization, and data accessibility. * Analyze large datasets to identify trends, relationships, and opportunities for improving marketing outcomes. * Document data flows, experiment results, and engineering guidelines to support knowledge sharing within the team. What You Need to Succeed * Enrolled full-time in Computer Science or related field, expecting graduation Dec 2026 - Jun 2027. * Ability to participate in a full-time internship between May-September 2026. * Familiarity with Python, SQL, and data processing frameworks (e.g., PySpark, Spark, or Databricks). * Foundational understanding of AI/ML concepts, data modeling, or ETL pipeline development. * Experience with cloud platforms (Azure, AWS, or GCP) and/or data visualization tools (Power BI, Tableau, etc.). * Strong analytical thinking, problem-solving, and communication skills. * Eagerness to understand the impact of AI on enterprise marketing and a drive to construct practical solutions. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $38.00 -- $51.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Job DescriptionDescription We are seeking a SAP Prompt Engineer Intern to join Align Technology's dynamic team. This role is ideal for graduate students from any accredited college who are passionate about SAP systems and AI-driven solutions. You will work closely with technical and functional SAP teams to design, optimize, and implement prompt engineering strategies that enhance automation and efficiency within SAP environments. Collaborate with SAP functional and technical teams to understand business processes and system requirements. Develop and refine prompts for AI tools (e.g., ChatGPT, Gemini) to support SAP-related tasks, including configuration and development workflows. Assist in creating intelligent solutions for SAP ECC and S/4HANA environments using prompt engineering principles. Support customization and development activities, leveraging ABAP programming where applicable. Document prompt strategies, test cases, and best practices for future scalability. Currently enrolled in a graduate program at an accredited college or university. Hands-on experience with AI tools such as ChatGPT, Gemini, or similar platforms. Basic understanding of prompt engineering concepts and their application in enterprise systems. Strong analytical and problem-solving skills with attention to detail. Familiarity with SAP architecture, including functional (configuration) and technical (customization, development) streams. Knowledge of ABAP programming language (highly desired). Exposure to S/4HANA (a plus), though experience with ECC is valuable. Understanding of core SAP configuration processes for functional roles. Opportunity to work on cutting-edge AI and SAP integration projects. Mentorship from experienced SAP and AI professionals. Hands-on experience in a global technology-driven organization. Would you like me to also create a short version for job boards (e.g., LinkedIn, Handshake) or draft an evaluation rubric for screening candidates? ..

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.

We can't predict what the future holds, but we know Texas Instruments will have a part in shaping it. As a Design Verification intern in this group, you will be responsible for: Developing detailed verification plans while working closely with the design and system team to ensure pre- silicon verification success Developing test benches, tests and simulations to DUT behavior Running coverage regressions to meet the defined coverage goals for SystemVerilog functional coverage models of mixed-signal circuits for voltages and currents, real numbers, integers, and traditional digital functional coverage. Tracking and communicating verification status, issues, and concerns Work with regression tools and develop scripts to submit cases for regression analysis Utilize RTL and Gates+SDF, including verifying chip-level timing between analog and digital circuits. Constrained-random stimulus and auto-checking verification environments, especially constrained-random analog stimulus. Contribute to continuous improvements for quality and efficiency on DV strategy, tools, methods and flows Put your talent to work with us as a Design Engineer Intern - change the world, love your job! Texas Instruments will not sponsor job applicants for visas or work authorization for this position. Qualifications Minimum requirements: Currently pursuing an undergraduate or graduate degree in Electrical Engineering, Computer Engineering or Electrical & Computer Engineering Cumulative 3.0/4.0 GPA or higher Preferred qualifications: Ability to establish strong relationships with key stakeholders critical to success, both internally and externally Strong verbal and written communication skills Ability to quickly ramp on new systems and processes Demonstrated strong interpersonal, analytical and problem-solving skills Ability to work in teams and collaborate effectively with people in different functions Ability to take the initiative and drive for results Strong time management skills that enable on-time project delivery

About the Role We are seeking a Machine Learning Automation Engineer Intern to join our Data and Analytics team. This role is ideal for someone passionate about building automation pipelines, experimenting with generative AI models, and optimizing ML workflows from data ingestion to deployment. You will collaborate with data scientists, data engineers, and automation architects to build scalable, intelligent systems that power next-generation analytics and agentic AI solutions. Key Responsibilities * Design and implement automated pipelines for data preprocessing, model training, evaluation, and deployment. * Develop generative AI workflows (LLMs, diffusion models, transformers) for applied use cases such as synthetic data generation, RAG pipelines, and multimodal analysis. * Build and maintain CI/CD for ML systems, ensuring reproducibility and model governance. * Collaborate on feature engineering, hyperparameter tuning, and model validation using advanced statistical methods. * Integrate MLOps frameworks (e.g., MLflow, Azure ML, AWS SageMaker) into automation processes. * Prototype and evaluate new tools for AI-driven process automation and intelligent agent frameworks. * Document experiments, track metrics, and support version control of datasets and models. Required Skills & Qualifications * Strong programming skills in Python (mandatory); familiarity with libraries such as NumPy, pandas, scikit-learn, PyTorch, TensorFlow, and LangChain. * Working knowledge of generative AI (e.g., GPT, Llama, or similar LLMs). * Solid understanding of statistics, probability, and data analysis (hypothesis testing, regression, A/B testing, Bayesian methods). * Familiarity with automation frameworks (Airflow, Prefect, or similar) and version control (Git). * Familiarity with AI powered code editors / IDE (eg., Cursor, Replit, VS Code, or similar) * Working knowledge of API integration, prompt engineering, and vector databases (e.g., Pinecone, Qdrant, Weaviate). * Understanding of data pipelines, model monitoring, and evaluation metrics. * Excellent problem-solving skills and an eagerness to learn emerging AI technologies. Preferred Qualifications/Course Work * Coursework and project/prototype experience in Machine Learning, Deep Learning, or Generative AI. * Exposure to MLOps and DevOps tools (Docker, Kubernetes, CI/CD). * Familiarity with cloud platforms (Azure, AWS, or GCP). * Familiarity with data visualization (Matplotlib, Power BI). * Bachelor's degree in mathematics, data science, computer science, engineering, statistics or equivalent. .