Engineering internship jobs in Cupertino, CA - 1,147 jobs

A leading real estate information firm is looking for an Associate Machine Learning Engineer to develop and implement cutting-edge machine learning algorithms. The role involves collaboration with researchers and engineers on projects involving computer vision, deep learning, and 3D data analysis. Candidates should have a bachelor's degree in computer science or related field, Python programming skills, and relevant internship experience. An annual salary between $82,300 - $179,000 is offered along with a benefits package. #J-18808-Ljbffr

Are you passionate about Generative AI and want to apply it to one of the most impactful domains - cybersecurity? Join our cutting-edge startup in the San Francisco Bay Area, where we are developing AI systems that transform how organizations understand, detect, and respond to cyber threats. As an Applied AI Scientist, you'll bridge AI research and real-world cybersecurity use cases - designing, implementing, and optimizing models that extract, reason, and act on complex security data. You'll work closely with cybersecurity experts, AI infrastructure engineers, and stakeholders to build end-to-end GenAI solutions: from concept to deployment. This role blends deep applied research with practical engineering, ideal for someone eager to push the limits of Generative AI for meaningful impact. Why Join Us: $25M Seed Funding: Strong capital foundation to innovate and scale fast. Early Success: Trusted by Fortune 500 companies, validating real-world demand. Experienced Leadership: Founders with 25+ years in cybersecurity - previous ventures valued at $3B+. Elite AI Leadership: Heads of AI, Engineering, and Product from world-class tech companies. Advanced AI Stack: LLMs, embeddings, RAG systems, LangGraph orchestration, and multimodal AI. Competitive Compensation: Excellent salary, meaningful equity, and room for technical leadership growth. Cybersecurity Knowledge Preferred but Not Required: We'll teach you the domain - you bring the AI innovation. Key Responsibilities: Core Applied AI Research Collaborate with cybersecurity researchers and stakeholders to scope AI-driven solutions to security problems (e.g., vulnerability management, code analysis, threat detection). Conduct applied research using the latest LLMs and embedding models (Claude, Google GenAI, Unsloth, vLLM). Prototype, fine-tune, and evaluate GenAI and RAG/CAG architectures for classification, summarization, reasoning, and context synthesis. Perform embedding-level optimization for text, code, and image data using Unsloth, Hugging Face, Voyage, or similar frameworks. System Development & Integration Develop and test end-to-end AI pipelines integrating Milvus or Pinecone for semantic retrieval. Build agentic AI systems using LangGraph or similar frameworks to enable autonomous reasoning and task chaining. Collaborate with MLOps engineers to deploy and monitor AI models in production securely and efficiently. Contribute to synthetic data generation pipelines for fine-tuning and evaluation. Evaluation & Optimization Implement evaluation frameworks using DeepEval and GenAI tools (Claude / Google GenAI) for factuality, reliability, and robustness. Optimize model performance across latency, accuracy, and cost using vLLM, quantization, or caching strategies. Maintain reproducible experiment tracking with MLflow, Weights & Biases, or internal tools. Innovation & Leadership Stay ahead of GenAI trends - multi-modal reasoning, agentic orchestration, embedding adaptation. Explore hybrid LLM deployment strategies (local Unsloth/vLLM + cloud APIs like Claude, Google GenAI). Document best practices, share learnings, and mentor junior scientists on applied GenAI workflows. Qualifications: Required 4+ years in Applied AI / Machine Learning Research / Data Science. Strong understanding of LLMs, embeddings, RAG systems, and multimodal learning. Proficiency in Python and frameworks like PyTorch, Transformers, Hugging Face, or LangChain. Experience in prompt engineering, model evaluation, and retrieval-based reasoning. Hands-on experience with vector databases (Milvus / Pinecone) and orchestration frameworks (LangGraph / LangChain). Strong communication skills and ability to collaborate across research and engineering functions. Preferred Experience with fine-tuning LLMs or embeddings using Unsloth or similar frameworks. Familiarity with Claude / Google GenAI APIs for cloud-based inference and evaluation. Exposure to cybersecurity or enterprise data (CVEs, plugin Text, network or asset logs). Prior work on synthetic data generation and evaluation frameworks (DeepEval). Experience in a fast-paced startup or applied research environment. Our Culture & Team • Collaborative and Mission-Driven: Every project directly advances global cybersecurity. • World-Class Mentorship: Work with senior experts from top AI and security companies. • Growth-Oriented: Opportunities to lead GenAI initiatives and own major research tracks. • Inclusive and Innovative: We value diverse perspectives and open experimentation. Perks & Benefits Comprehensive medical, dental, and vision coverage. Wellness and professional development stipends. Equity options - your impact equals ownership. Access to state-of-the-art GPUs, APIs, and GenAI frameworks.

A leading real estate data provider seeks an Associate Machine Learning Engineer in Sunnyvale, California. This role involves developing state-of-the-art computer vision algorithms and collaborating on projects related to 3D spatial data. Candidates should have a Bachelor's degree in Computer Science or Engineering, along with strong Python skills and relevant internship experience. Excellent benefits include competitive compensation, professional development support, and comprehensive health coverage. #J-18808-Ljbffr

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. As a Flight Guidance Engineering Intern at Reliable Robotics, you will work alongside a team of mission-driven engineers with experience across aviation, space, robotics and self-driving cars to support our autonomous flight systems. You will contribute to the design, implementation, and testing of the guidance system, and your work will enable the integration of uncrewed aircraft into the National Airspace System. Responsibilities Design guidance system features that interface seamlessly with flight control systems and pilot displays Implement flight guidance algorithms in flight software and validate in simulation Build infrastructure for automated simulation and hardware-in-the-loop testing of guidance algorithms Integrate and verify guidance system features in software-in-the-loop and hardware-in-the-loop test environments Develop flight test plans and conduct post-test data review Basic Success Criteria Currently enrolled as a junior or senior in an undergraduate program in aerospace engineering, robotics engineering, software engineering, or similar field of study A solid understanding of fundamentals -- engineering math, kinematics, and dynamics Proficient in C++ and Python Proactive and motivated to tackle hard problems Excellent written and verbal communication skills Preferred Success Criteria Currently enrolled in a graduate program in aerospace engineering, robotics engineering, software engineering, or similar advanced degree Experience in one or more of the following areas: motion planning, optimization, control theory, probability theory Experience developing software for safety critical applications Learn more about the internship experience at Reliable Robotics from former interns: link The location of the position is in Mountain View, CA. No travel is required. The estimated annualized salary for this position is $120,000. This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws. All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis. At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Job Title: Engineering Technician Duration: 3-6 month contract (with potential to extend and/or convert depending on performance) Schedule: Monday-Friday, 8:00 PM-4:30 AM + recurring weekend shifts Compensation: $55+/hr A local robotics startup client of Insight Global is seeking several dedicated Engineering technicians to work on-site at their San Francisco, CA location. Job Responsibilities: • Build and maintain our robot fleet involving complex mechanical assemblies and actuators, small gauge cable assemblies, and fine pitch SMT PCBs. • Bring up and troubleshoot robots using Linux and proprietary software tools. • Use CNC machines, 3d printers, and other machine tools to fabricate and rework components. • Track, maintain, and socialize robot fleet health using tools such as Jira. • Create work instructions and assembly processes to streamline assembly and bring-up workflows. • Use CAD tools to develop assembly fixtures and understand design intent. • Propose system and process improvements, and prepare reports, documentation, and presentations to summarize findings and recommendations. • Collaborate with cross-functional teams to resolve technical issues and improve processes. • Order, organize, and maintain inventory of materials, supplies, and tools. Required Experience: • 5 years of proven technical skills and hands-on experience with robots or related fields. • Experience building cable assemblies involving small gauge crimps and coaxial connectors. • Experience reworking PCBs including fine pitch SMT. • Experience fabricating parts including using CNC machines and 3d printers. • Proficiency in using CAD software and other engineering tools. • Strong analytical and problem-solving abilities. • Excellent communication and teamwork skills. • Attention to detail and accuracy in documentation and reporting. • Ability to work independently and manage multiple tasks. Apply today!

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: We have an immediate opening for an Engineering Technician to join our server team. Engineering Technician will become a key support on enabling HPC server technology, support validation effort, and manage materials. We are seeking someone with strong technical skills to support product and system server team for product development and customer solution. Essential Duties and Responsibilities: Includes the following essential duties and responsibilities (other duties may also be assigned): * Perform in-depth evaluation of applications and feedback to engineering teams on how to optimize products * Able to manage multiple tasks and projects * Support the coordination of operational activities from product kick-off to product launch. Support team to meet TTM mandates * Support product quality improvement during design and manufacturing stages * Support technical issues to closure by arranging resources and engaging with other engineering team to duplicate and debug * Serve as third level technical support and provide pre/post-sales support Qualifications: * High School Diploma required, with a minimum of 2 years of related experience preferred. * Strong initiative and ability to work in a self-directed environment * Demonstrate strong organizational and planning skills * Demonstrate understanding or how to successfully work in cross-functional organizations * Ability to lead extended teams and meet deadlines * Understanding of GPU server technology and related application preferred * Analytical and problem-solving skills, strong communication skills (written, verbal, and presentation skills), and ability to negotiate effectively * Excellent knowledge of server systems, PC systems, and computer architecture Salary Range $28.00 - $30.50 / hour The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs. EEO Statement Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive. When you join Visa, you join a culture of purpose and belonging - where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement. Join Visa: A Network Working for Everyone. Job Description As a Software Engineer Intern, you will be placed in one of the technologyorganizations at Visa and specific assignments will depend on upon your skills sets, interest, and team needs. We are seeking Software Engineer interns across our Technology organization. As an intern, you will take on meaningful work, engage in out-of-the-box problem solving, and participate in global case challenges and impactful initiatives. You will get the chance to work with multiple teams, systems, and products through a wide variety of data sources. From technology to business, we are looking for people who can innovate, collaborate and bring Visa into the next level of a rapidly evolving digital marketplace. During the internship, you will work on one or more hands-on projects with the team. Our summer internship also equips you with social and professional networking events and developmental workshops, designed to provide you the resources and training to have an impactful summer. Some examples of previous summer intern projects: Self-serve deployment of Kafka clusters using Docker and Kubernetes with auto scale up capability Creating a natural language Chatbot for searching CDISI knowledge base Developing a prototype that would automate payments at gas stations Automating process for removing duplicate compromised account numbers using low latency algorithms Improving the usage of Visa Checkout across all mobile and web devices Developing testing tools to identify errors in internal systems Creating visual monitoring tools to uncover transaction errors Analyze, design, code and unit test software solutions and enhancements for an application that applies business logic and routes digital currency of global transactions Develop a robust app factory to be used to create hundreds of mobile banking applications for iOS and Android with a single click Implementation of a single development lifecycle, from Analysis and Design, Build, QA, Security, and Deployment. Begin to learn best and secure coding practices and standards Qualifications Basic Qualifications Students pursuing a Bachelor's degree in Computer Science, Computer Engineering, CIS/MIS, Cybersecurity, Business or a related field, with a graduation date in December 2026-August 2027 Strong communications skills, specifically, the absence of repeated grammatical or typographical errors, clear and concise written and spoken communications that demonstrate professional judgment. Preferred Qualifications Proficiency in at least one programming language or technology including, but not limited, to Java, C/C++, C#, .NET, python, Javascript, HTML Experience with Write utilities / automation tools using Selenium, Java, REST, Python, Groovy, and more Exposure to containerized microservices in Kubernetes environments (e.g., class projects, labs, internships). Demonstrated adaptability and willingness to learn new skills and technologies. Familiarity with some of the following (preferred but not required): Kubernetes (especially kind cluster) Jenkins, GitHub Actions, or ArgoCD Chainsaw, Prometheus, Splunk, ClickHouse Opensearch/Elasticsearch Familiarity with software testing principles Experience or knowledgein working with both RDBMS (preferably MySQL) and NoSQL databases (preferably Cassandra) Experience in developing Agentic Solution Machine learning and data science background is great Solid understanding of software engineering concepts and methodologies Document process, designs, test results, and analysis Lead root cause analysis and track defect resolution to completion Review and provide feedback on development code, test designs and test cases Strong ability to collaborate Highly driven, resourceful and results oriented Good team player and excellent interpersonal skills Good analytical and problem-solving skills Demonstrated ability to lead and navigate through ambiguity Additional Information U.S. APPLICANTS ONLY:The estimated hourly range for a new hire into this position is $40/hr to $45/hr. The hourly rate may vary depending on job-related factors which may include knowledge, skills, experience, and location. Work Hours:Varies upon the needs of the department. Work Authorization:Visa will not sponsor applicants for work visas in connection with this position. Future sponsorship will not be considered. This is a hybrid position.Expectation of days in office will be confirmed by your hiring manager. Travel Requirements:This position requires travel5-10% of the time. Mental/Physical Requirements:This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

Engineering Associate / W2-only Contract / 6-months / Onsite, Fremont, CA / $22.75/hr. W2 Responsibilities: Assist in overseeing and maintaining the production processes within the Metrology Department. Manage incoming and outgoing jobs for both internal and external metrology service requests. Coordinate with shipping/receiving teams and couriers. Act as a liaison between the Metrology department and other internal departments. Provide feedback on systems and work towards continuous improvement. Required Skills: Excellent professional written and verbal communication skills. Experience and proficiency with Microsoft Word and Excel. Adaptive, quick learner, and flexible. Ability to be extremely detail oriented, patient, organized, accountable, and work well in a team environment. Ability to lift ~25 lbs. Fluent English. Preferred Skills: 3+ years of customer service or sales experience. Experience creating SOPs or similar guiding documents for professional use. Experience in a Quality Control role. Experience coordinating with shipping/logistics services. Experience either leading or being part of the roll out of new professional initiatives.

ID 2025-17874 Element has an opportunity for a Engineering Technician who can apply engineering problem solving skills to evaluate wireless devices for global Regulatory compliance involving EMC/RF for wireless consumer technologies in a fast-paced environment and industry. Performs testing of the latest cellular (4G/5G) and unlicensed (WIFI/BT/etc.) technologies to determine FCC (US) and ISED (Canada), and other global regulatory body compliance. Payrate: $32-37/hr If you are not currently authorized to work in the US without sponsorship, Element Materials Technology will not consider your job application. Any candidate must be lawfully eligible to work in the US as a US Citizen or Permanent Resident of the United States. Responsibilities * Performs and analyze EMC/RF testing and evaluations per regulatory specifications * Compiling and reporting test results using MS Word, MS Excel and Adobe Acrobat * Evaluate devices and determine applicable standards * Work in a team environment and assist in development and improvement of test methodologies, reporting, coordination of various tasks, etc * Maintain laboratory test methods and test equipment Skills / Qualifications * Bachelor's degree in any related STEM (Science, Technology, Engineering or Math) degree or commensurate with experience * Must be customer-focused, organized, good communication skills, fast learner, team player, and detail-oriented * Strong attention to detail, highly organized, and computer literate * Wireless/EMC/RF/Laboratory environment experience preferred * Ability to work effectively in team situations as well as independently * Must have the motivation, initiative and eagerness to learn * Ability to work in a fast-paced environment * Ability to lift 50+lbs periodically #LI-TF1 Company Overview Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to 'Make tomorrow safer than today'. When failure in use is not an option, we help customers make certain that their products, materials, processes and services are safe, compliant and fit for purpose. From early R&D, through complex regulatory approvals and into production, our global laboratory network of scientists, engineers, and technologists support customers to achieve assurance over product quality, sustainable outcomes, and market access. While we are proud of our global reach, working at Element feels like being part of a smaller company. We empower you to take charge of your career, and reward excellence and integrity with growth and development. Industries across the world depend on our care, attention to detail and the absolute accuracy of our work. The role we have to play in creating a safer world is much bigger than our organization. Diversity Statement At Element, we always take pride in putting our people first. We are an equal opportunity employer that recognizes diversity and inclusion as fundamental to our Vision of becoming "the world's most trusted testing partner". All suitably qualified candidates will receive consideration for employment on the basis of objective work related criteria and without regard for the following: age, disability, ethnic origin, gender, marital status, race, religion, responsibility of dependents, sexual orientation, or gender identity or other characteristics in accordance with the applicable governing laws or other characteristics in accordance with the applicable governing laws.

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.

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: ********************************************

Job Description Therm-x of California is the leading manufacturer of Advanced Temperature and Control Systems for Hi-Technology industries. We have been in business for over 30 years and have a diverse customer base. We offer competitive pay, medical, dental, vision, 401(K), sick leave and paid time off. We are looking for an Industrial/Process Engineering Intern to support our Warehouse department to reorganize over 80,000+ unique parts to maximize efficiency and support the low-volume high-mix production schedule. The Warehouse Engineer Intern will be cross trained to perform various tasks in Purchasing, Receiving, and Kitting and Inventory. Essential duties include but no limited to; Support Warehouse layout management Preform data analysis & support the reorganization of inventory according to data Identify opportunities to improve kitting efficiency Physically reorganize inventory Perform cycle count Support documentation of warehouse organization Support de-trashing of stored material and material handling Usage reports on lower level parts Material handling and space efficient packaging methods Understanding of proper material handling practices Supply chain coordination on packaging and sample sizing Prepare Inventory analysis and Shortage analysis Support the design layout for finished good warehouse Support the improvement of floor stock Program Conduct production capacity analysis to ensure operational efficiency Conduct wall to wall inventory checks / inventory audits Other projects based on management discussion, data analysis, and identified opportunities Support the improvement of kitting process efficiency by analyzing workflows and identifying areas for enhancement Report daily activities to responsible supervisor Ensure all work processes meet safety standards and address any safety concerns Desired Skills; Strong written and verbal communication skills to translate technical recommendations for non-technical stakeholders. Ability to create effective solutions for a wide range of challenges Strong analytical skills to interpret data, create reports, and provide insights to decision-makers. Familiarity with lean manufacturing principles and supply chain management. Project management skills to handle multiple initiatives simultaneously. Proficient in using presentation software to communicate complex information to management. Physical Demands: While performing the duties of this job, the employee is regularly required to be in a stationary position; move within the facilities, constantly operate machining equipment and tools, inspect surroundings and equipment, occasionally ascends/descends a ladder, communicate with others, detect odors, and transport equipment up to 30 pounds Work Environment: High noise level associated with a manufacturing facility

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us! Role Summary We are seeking highly motivated, newly graduated or soon-to-graduate MS or Ph.D. students in Computer Science, Machine Learning, Data Science, or related fields to join us as AI / ML Engineering Interns. This internship is ideal for candidates who are eager to learn how large-scale AI systems are built and deployed in production. You will work closely with experienced engineers and data scientists to help build the Intelligence Layer and Data Consortium that power DataVisor's real-time fraud detection platform. This internship focuses on distributed systems, data pipelines, machine learning infrastructure, and applied AI, including exposure to agentic flows and large language models (LLMs). What You'll Do Data Engineering & Pipelines Assist in building and maintaining high-throughput data pipelines using technologies such as Spark, Kafka, or Flink Help process and aggregate real-time signals (e.g., device fingerprints, behavioral data) into shared intelligence systems Distributed Systems & Scalability Learn to design and optimize backend systems that support large-scale, real-time decisioning Contribute to improving system performance, reliability, and latency under high transaction volumes AI Applications & Agentic Flows Support the development of AI applications and agentic workflows using state-of-the-art LLMs (e.g., OpenAI, Anthropic, Google) Experiment with natural language interfaces, intelligent rule suggestions, and automated strategy generation Machine Learning Pipelines Help deploy and monitor pipelines for unsupervised and supervised ML models Assist with integrating models into real-time scoring APIs and decision engines Privacy & Security Learn best practices for privacy-first system design, including tokenization and hashing to protect sensitive data Cross-Functional Collaboration Work alongside Data Science, Product, and Engineering teams to test ideas, validate models, and ship production features Requirements Recently graduated or currently completing an MS or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field Passionate about learning how real-world AI systems are built at scale Comfortable working with complex technical problems and eager to grow through mentorship Strong programming skills in Python Familiarity with at least one of the following: distributed systems, machine learning, data engineering, or backend development Academic or project experience with big data frameworks (Spark, Kafka, Flink) is a plus Understanding of core ML concepts (supervised / unsupervised learning) Preferred (Nice-to-Have) Coursework or project experience with: LLMs, RAG architectures, LangChain, or vector databases Cloud platforms (AWS) and containers (Docker) Stream processing or real-time systems Interest in fraud, risk, or security domains (not required) Benefits Hands-on experience working on production-scale AI systems Mentorship from senior engineers and data scientists Exposure to cutting-edge agentic AI and LLM applications Opportunity for full-time conversion based on performance and business needs Comp Range, $25 - $70/hour

We are looking for ambitious achievers to join our 2026 Kickstart Internship Program in Santa Clara, CA! Your work will support project teams providing solutions for water resources, water quality, wastewater and water treatment, and recycled water planning and implementation issues that our water environment, transportation, and industrial sector clients are facing. You will have opportunities to get involved in significant projects throughout the United States. These projects may involve field work, technical report preparation and calculations, pre-construction conditions documentation, design plans and specifications. What we can offer you Meaningful Projects and Work Mentorship Professional Development Networking and Collaboration A Day in the Life of an Intern: Working on a variety of projects which allow you to apply skills and calculations that you have learned in school Managing ongoing projects and communicating with other team members and clients Attending and contributing to client meetings Visiting project sites Receiving mentorship and advising Networking with employees and clients Qualifications: Currently pursuing an undergraduate or graduate degree in: Civil Engineering Environmental Engineering Chemical Engineering Related Engineering field Completion of a minimum of junior (third-year) standing in an accredited engineering program Kennedy Jenks supports a healthy work-life balance and utilizes a hybrid model of home and office work, with a minimum of two days per week in the office. This approach empowers our people to thrive, collaborate, and achieve their full potential. Pay rate for this position is anticipated to be $20 to $25 per hour, and may vary based upon education, experience, qualifications, skills, licensure/certifications, seniority, geographic location, and performance. Intern Benefits Summary: As a Kickstart intern, you'll enjoy the benefits package designed to support you during your experience. Choose between quality medical coverage or a $150 monthly stipend if you have other coverage, plus receive $15 per month toward your cell phone costs. You'll also have the opportunity to participate in our 401(k) plan and accrue paid sick time throughout the program, ensuring that your well-being and future are always a priority. #LI-hybrid

Do you want to build an impactful career to change the world for the better? Geosyntec has an exciting opportunity for an Intern/Co-Op - Civil/Environmental Engineer, Geologist, or Scientist in our Oakland, CA office. The position offers the opportunity to apply engineering academic knowledge to real-world situations on projects involving contaminated site assessment & remediation, civil engineering design, groundwater management, water treatment, and environmental due diligence while also learning the business skills needed for a successful consulting career. The position is full-time (40 hours/week) for approximately 13 to 15 weeks during the summer semester of 2026. Candidates are responsible for coordinating their own transportation to and from the office. Geosyntec is an innovative, international engineering and consulting firm serving private and public-sector clients to address new ventures and complex problems involving our environment, natural resources, and civil infrastructure. Our engineers, scientists, technical and project employees serve our clients from offices across the world. Ranked by ENR as one of the top environmental engineering design firms, Geosyntec is internationally known for its technical leadership, broad experience, and exceptional client service. We invest in our people. Each employee is unique, and your career at Geosyntec will be too. We offer competitive pay and benefits, and well-being programs to support you and your family. To Learn More Visit: ********************************** Essential Duties and Responsibilities Assist with engineering calculations using computer-based technical tools; Technical writing of reports, letters, memoranda, plans, specifications, and proposals; Data input and analysis, including preparing maps, tables, and figures; Follow instructions and interact with engineers, geologists, office administrative staff, CADD operators (draftsmen), contractors and construction personnel; and Potential for fieldwork (20-25%) such as soil and groundwater sampling, stormwater inspections, and drilling and contractor oversight. Local travel or driving to project sites as needed. Drive personal, company, and rental vehicles to client or company project or office sites, and other business locations, as needed. Education and Licensure Currently registered in a Bachelor's or Master's university degree program in a relevant engineering or science discipline. (required) Degree focus area in civil, geotechnical, or environmental engineering or geology. (preferred) Skills, Experience and Qualifications Experience with ArcView, CADD, and/or Microsoft Office. (preferred) Outstanding academic credentials and exceptional interpersonal, technical writing, oral and written communication and problem-solving skills. (required) Valid U.S. driver's license, reliable transportation, and satisfactory driving record for business travel to project sites. (required) Below are the potential compensation ranges that we in good faith believe are applicable for this role at the time of this posting and are only applicable for jobs to be performed in the specified California locations below. The typical base salary range for this position is just one component of Geosyntec's total compensation package for employees. Based on state and federal requirements, this position may be hourly and overtime-eligible or salaried eligible for straight-time overtime. Actual compensation will be determined based on education, experience, skill set and location. Minimum: $23.19/hourly / Maximum: $32.47/hourly (Oakland) We offer a comprehensive benefits package including, paid holidays, vacation, sick, and personal paid time off, medical, dental, vision, life, and disability insurance, 401(k), and other benefits to eligible employees. #LI-MG1 #LI-Onsite

Our diverse and inclusive workforce of more than 7,000 employees play a key role in the success of San José, the heart of the Silicon Valley. All City of San José employees work together as one team to make San José a vibrant, innovative, and desirable place to live and work.Visithere to learn more about our One Team Leadership Values and Expectations, including quality and excellent customer service and hereto learn more about San José. The City of San José is an equal opportunity employer. Applicants for all job openings will be considered without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, veteran statusor any other consideration made unlawful under any federal, state or local laws. The City of San José is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at ************, 711 (TTY), or via email at *************************. About the Department The Environmental Services Department (ESD)is a national leader in pollution prevention, watershed protection, utility service provision, and climate action. Together, ESD employees positively impact every resident and business in San Jose. Our department is an exceptional place to start or grow your career. We have a supportive leadership team, numerous professional growth opportunities, and an inclusive workplace culture that is welcoming of your talents! To learn more about ESD, follow @sjenvironment on X (formally Twitter),Facebook, Instagram, and San Jose Environmental Services on LinkedIn. Position Duties About the Multi-Discipline Engineering Internship The Environmental Services Department is currently seeking to fill two (2) part-time unbenefited Undergraduate/Graduate Student Intern positions. Student Interns of the Multi-Discipline Engineering Internship will rotate within five key engineering groups across the Environmental Services Department. Interns will rotate into each of these five engineering groups approximately every six weeks. These rotations will include travel to three distinct work locations which include San José City Hall, the San José-Santa Clara Regional Wastewater Facility (RWF), and San José Municipal Water System (Muni Water). At the conclusion of the internship, interns will have job shadowed in each of the five groups. The key engineering groups are located withing the following sections: Capital Improvement Program (CIP) Division The Capital Improvement Program (CIP) division is leading one of the largest public works programs in San José's history! The division is responsible for delivering a 10-year capital improvement program estimated at $1.4 billion and assuring the future of wastewater treatment services for 1.7 million residents and 17,000 businesses. The CIP division performs the overall planning and project delivery for all aspects of the RWF treatment process, including program administration and budget planning. The division is also supported by a co-located team of consultant staff and staff from the Department of Public Works, who provide program management and construction management services. * Responsibilities while working in CIP include but are not limited to: Supporting engineering staff on current projects in various phases of work, including feasibility, design, bid, and construction; attending project and staff meetings; attending design workshops; participating in construction site visits; assisting staff to manage facility-wide studies; and assisting staff in the areas of program management and controls. Operations & Maintenance (O&M) The Wastewater Management Operations and Maintenance (O&M) Engineering section works side-by-side with three divisions of wastewater management at the RWF - Plant Operations, Facility Maintenance, and Energy & Automation. The division is staffed by 226 full-time employees that includes operators, mechanics, various wastewater superintendents and supervisors, engineers, technicians, analysts, staff specialists, and other support staff. In addition, these groups are supported by various consultants. This section is responsible for managing various O&M repair/replacement projects, providing engineering support to the RWF, maintaining document management systems and record drawings, and providing leadership for the Asset Management system. * Responsibilities while working in O&M include but are not limited to: * Assisting with equipment tags, field verification, and creating missing tag lists. * Assisting with uploading O&M manuals, equipment warranty documents, SOPs, and training related documents from CIP Final Submittals to WMDocs. * Assisting with the review of preventive maintenance schedules from O&M manuals and creating PM schedule lists. * Assisting with O&M Online Manual upgrades. * Assisting with O&M Engineering projects. * Other miscellaneous tasks as assigned. Pretreatment Program - Watershed Protection (WSP) Division The Pretreatment Program consists of the Source Control and Environmental Engineering sections and is responsible for implementing the federal- and state-mandated pretreatment program for industrial discharges to the San José-Santa Clara Regional Wastewater Facility. The program is required by the Facility's NPDES permit and is aimed at ensuring that certain dischargers have adequate treatment prior to the discharge of industrial wastewater to the sanitary sewer to protect water quality and the integrity of the wastewater collection and treatment systems. On an annual basis, the Pretreatment Program inspects approximately 350 businesses, collects more than 1,900 water quality samples, and reviews more than 900 self-monitoring reports. This group also permits and conducts inspections of newly regulated facilities such as dental offices. * Responsibilities while working in the Pretreatment Program include but are not limited to: Assisting Sanitary Engineers in evaluating industrial and commercial facilities for compliance with federal, state, and local pretreatment requirements; writing and issuing Industrial Wastewater Discharge Permits; conducting plan check reviews of industrial and commercial facilities, and performing specialized environmental engineering studies in support of the Pretreatment Program, the Watershed Enforcement Program, and the Regional Wastewater Facility. Municipal Water System (Muni Water) & South Bay Water Recycling (SBWR) Muni Water The Municipal Water System section is responsible for system operation and maintenance engineering support, and design and construction of the Municipal Water System pipeline and facilities. This includes managing the water quality programs, and supporting the conservation program, providing development related support services, ensuring availability of water supply, capital improvements, construction inspection, and engineering support to operations and maintenance. SBWR South Bay Water Recycling (SBWR) is a recycled water wholesaler to four retailers: San Jose Water Company, San José Municipal Water, City of Santa Clara, and City of Milpitas. Customers buy recycled water from the retailer in their location. SBWR is the regional permit holder for recycled water in San José, Santa Clara and Milpitas, ensuring compliance with State regulations for recycled water quality and use and is a leader in recycled water in Northern California. SBWR's recycled water system consists of over 150 miles of pipeline, five pump stations, and 10 million gallons of storage in reservoirs. SBWR delivers more than four billion gallons of recycled water per year to more than 960 commercial customers, an average of 11 million gallons a day. * Responsibilities while working in Muni Water & SBWR include but are not limited to: Supporting engineering and operations staff through research, data collection, and technical analyses for ongoing projects. Responsibilities will include conducting field visits and site inspections to observe construction and operations/maintenance activities, as well as participating in staff meetings, taking notes, and providing follow-up as needed. Additional assignments may be given to further assist the engineering and compliance team. Duration of Assignment Approximately 8 months Salary Information Salary ranges for this classification are: * Undergraduate Student Intern:$15.86 - $22.65 hourly * Graduate Student Intern: $20.52 - $30.30 hourly These salary ranges include an approximate five percent (5%) ongoing non-pensionable compensation. Actual salary shall be determined by the final candidates' qualifications and experience. Minimum Qualifications Education: * Undergraduate: Current enrollment in an accredited college or university in an undergraduate program. Must be enrolled throughout the duration of the internship. * Graduate: Completion of a bachelor's degree and current enrollment in a master's degree program from an accredited college or university. Must be enrolled throughout the duration of the internship. Experience: None. Licenses & Certificates: Possession of a valid driver's license authorizing the operation of a motor vehicle in the State of California. Other Qualifications The ideal candidate will possess the following competencies, as demonstrated in past and current employment history.Desirable competencies for this position include: Communication Skills -Effectively conveys information and expresses thoughts and facts clearly, orally and in writing; demonstrates effective use of listening skills; displays openness to other people's ideas and thoughts. Job Expertise -Demonstrates knowledge of and experience with applicable professional/technical principles and practices, Citywide and departmental procedures/policies and federal and state rules and regulations. Multi-Tasking -Can handle multiple projects and responsibilities simultaneously; has handled a wide variety of assignments in past and/or current position(s). Problem Solving - Approaches a situation or problem by defining the problem or issue; determines the significance of problem; collects information; uses logic and intuition to arrive at decisions or solutions to problems that achieve the desired outcome. Reliability- Completes quality work assignments in a timely and efficient manner; fulfills responsibilities and maintains confidentiality as appropriate. Teamwork & Interpersonal Skills -Develops effective relationships with co-workers and supervisors by helping others accomplish tasks and using collaboration and conflict resolution skills. Selection Process: The selection process will consist of an evaluation of the applicant's training and experience based on the application and responses to all the job specific questions. You must answer all questions to be considered, or your application may be deemed incomplete and withheld from further consideration. Applicants are expected to write their own essays/responses. Please be advised that use of AI content in your responses may result in your removal from the hiring process. Only those candidates whose backgrounds best match the position will be invited to proceed in the selection process. Additional phases of the selection process will consist of one or more interviews. If you have questions about the duties of these positions, the selection or hiring processes, please contact Norma Lopez Sanchez at ********************************. Additional Information: Employment Eligibility: Federal law requires all employees to provide verification of their eligibility to work in this country. Please be informed that the City of San Jose will NOT sponsor, represent or sign any documents related to visa applications/transfers for H1-B or any other type of visa which requires an employer application. You must answer all job-specific questions to be considered for this vacancy or your application will be deemed incomplete and withheld from further consideration. Applicants are expected to write their own essays/responses. Please note that applications are currently not acceptedthrough CalOpps or any other third party job board application system. This recruitment may be used to fill multiple positions in this, or other divisions or departments. If you are interested in employment in this classification, you should apply to ensure you are considered for additional opportunities that may utilize the applicants from this recruitment. Please allow adequate time to complete the application and submit before the deadline or the system may not save your application. If your online application was successfully submitted, you will receive an automatic confirmation email to the email address you provided. IF YOU DO NOT RECEIVE THE CONFIRMATION, please email ************************* and we will research the status of your application. AI and the Hiring Process We recognize that Artificial Intelligence (AI) is becoming part of daily life and can be avaluable tool for learning, research, and professional growth. We encouragecandidates to use AI responsibly as a support in preparing application materials, liveassessments, and interviews. However,we value authenticity, accuracy and truthfulness.Application responses and interview answers must reflect your ownknowledge, skills, and experiences. While AI can supplement preparation, it cannotreplace the originality and judgment we look for in our employees. This ensuresfairness,transparency, and equityfor all applicants in the hiring process.

The Role: This role will support our EHS team in ensuring a safe, healthy, and compliant work environment. The EHS intern will gain hands-on experience in various aspects of EHS management, including safety audits, risk assessments, regulatory compliance, and environmental sustainability initiatives. The EHS Intern will assist in promoting a culture of safety and environmental responsibility within the company while supporting daily operations and reporting needs. Location(s): Salinas, CA Areas of Responsibility: Support EHS Program Implementation: Assist in the implementation and monitoring of safety programs and initiatives, including workplace safety training, inspections, and audits. Data Management & Reporting: Assist in collecting and analyzing EHS-related data, preparing reports, tracking safety metrics, and maintaining accurate records of incidents, safety inspections, and audits. Risk Assessment: Help identify potential safety hazards, conduct risk assessments, and implement corrective actions or recommendations to improve safety practices. Safety Inspections: Participate in regular safety audits and inspections, document findings, and assist in developing corrective actions. Preferred Qualifications: Currently pursuing a degree in Occupational Health and Safety, Environmental Science, Industrial Hygiene, Safety Engineering, or a related field. Strong interest in workplace safety, environmental regulations, and EHS practices. Excellent written and verbal communication skills, with the ability to clearly communicate safety information to team members at all levels. Strong organizational skills and the ability to maintain accurate records. Prior experience or coursework related to safety, hazard identification, or EHS programs is a plus, but not required. Ideal Candidate Willingness to learn and adapt: Open to gaining knowledge in environmental, health, and safety practices. Strong work ethic and reliability: Dependable and committed to completing tasks accurately and on time. Good communication and interpersonal skills: Able to work well with others and share information clearly.

Job Title: Engineering Technician Duration: 3-6 month contract (with potential to extend and/or convert depending on performance) Schedule: Monday-Friday, 8:00 PM-4:30 AM + recurring weekend shifts Compensation: $55+/hr A local robotics startup client of Insight Global is seeking several dedicated Engineering technicians to work on-site at their San Francisco, CA location. Job Responsibilities: • Build and maintain our robot fleet involving complex mechanical assemblies and actuators, small gauge cable assemblies, and fine pitch SMT PCBs. • Bring up and troubleshoot robots using Linux and proprietary software tools. • Use CNC machines, 3d printers, and other machine tools to fabricate and rework components. • Track, maintain, and socialize robot fleet health using tools such as Jira. • Create work instructions and assembly processes to streamline assembly and bring-up workflows. • Use CAD tools to develop assembly fixtures and understand design intent. • Propose system and process improvements, and prepare reports, documentation, and presentations to summarize findings and recommendations. • Collaborate with cross-functional teams to resolve technical issues and improve processes. • Order, organize, and maintain inventory of materials, supplies, and tools. Required Experience: • 5 years of proven technical skills and hands-on experience with robots or related fields. • Experience building cable assemblies involving small gauge crimps and coaxial connectors. • Experience reworking PCBs including fine pitch SMT. • Experience fabricating parts including using CNC machines and 3d printers. • Proficiency in using CAD software and other engineering tools. • Strong analytical and problem-solving abilities. • Excellent communication and teamwork skills. • Attention to detail and accuracy in documentation and reporting. • Ability to work independently and manage multiple tasks. Apply today!

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 an engineering group that thrives with building the next wave of AI and machine learning solutions! Work side-by-side with authorities in platform, security, release engineering, and support as we solve real technical challenges and deliver products that make a difference. Your impact Dive into the fast-paced world of AI Ops, where your work will automate and streamline IT operations in ways that truly matter. Build smart solutions that cut down on repetitive tasks, speed up incident response, and spot problems before they grow. Get hands-on with network performance analysis and set up monitoring tools that keep everything running smoothly-because every second counts! Bring your creativity and team spirit as you partner with data scientists, software engineers, and infrastructure pros to weave AI Ops into day-to-day workflows. Whether you're building machine learning pipelines, rolling out CI/CD automations, or jumping in to solve and optimize, your efforts will keep systems sharp, resilient, and ready for anything. There's never a dull moment-your work helps ensure our technology just works, every time! 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. Proficiency in scripting languages such as Python or Bash, evidenced through a coding challenge, technical assessment, or submission of automation scripts/workflow samples. Able to legally live and work in the country for which you're applying, without visa support or sponsorship. Preferred Qualifications Familiarity with systems and network administration concepts. Experience with tools such as GitHub Actions and Kubernetes for automation and deployment. Ability to support AI production environments and manage sandbox environments. Experience working with AWS or other cloud platforms. Understanding of DevOps practices, including CI/CD pipeline creation and management. 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.