Engineering internship jobs in South San Francisco, CA - 1,191 jobs

Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We are also building out our medical hibernation team to tackle the challenges of whole-body cryopreservation, beginning with rodent models. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. About the Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of the computational team defining how experimental data becomes insight and drives the next round of scientific discovery. You'll build high-leverage ML systems that help develop new cryoprotectant formulations, engineer biologically-inspired antifreeze proteins, and understand the physics of vitrification and rewarming. You will own projects end-to-end including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily. About You Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science, Computational Biology). Excellent foundations in the mathematics that underlies machine learning, including linear algebra, probability, statistics, and calculus. Strong experience in modern machine learning approaches, such as representation learning, generative modeling, active learning, and bayesian optimization. Track record of developing ML approaches for scientific discovery, as evidenced by a strong publication record, substantial open source contributions, or deployment of a machine learning system in an industry role. Demonstrated ability to write modular, maintainable, and performant code in Python. Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars, Matplotlib/Plotly. Proficient with developer tooling, including Linux command line, Git, and shell scripting. Ability to think from first principles and tackle complex, cross-disciplinary problems with other scientists and engineers. Preferred Qualifications 3+ years of relevant professional or research experience, or a PhD in a computational field. Strong understanding of computer science fundamentals, including algorithms, operating systems, and concurrency. Experience with cloud infrastructure (AWS, GCP) and SQL databases. Benefits Opportunity for outsized impact creating the future as an early team member. Generous medical, dental and vision insurance coverage. Flexible time off and paid holidays. Competitive compensation package, including salary and equity. 401(k) retirement savings plan. FSA and commuter benefits. Subsidized lunch daily. $140,000 - $240,000 a year While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range. Please keep in mind that the equity portion of the offer is not included in this estimate. As an equal opportunity employer, Until is committed to providing employment opportunities to all individuals. All applicants for positions at Until will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. #J-18808-Ljbffr

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

Software development experience in one or more general‑purpose programming languages such as Golang or Java Knowledge of computer science fundamentals such as object‑oriented design, algorithm design, data structures, problem solving, and complexity analysis Experience with distributed, multi‑tiered systems, caching, and relational databases Effectively articulate technical challenges and solutions Ability to communicate effectively at all levels internally-software engineers, managers, cross‑functional teams, and across a variety of formats such as technical design and external‑facing presentations Sets the bar for operational excellence and drives improvements in customer SLAs and system KPIs Experience & Qualifications 6 months - 2 years of professional work experience in Golang (GO) and/or Java Experience with distributed systems, caching mechanisms (e.g., Redis, Memcached), and relational databases Experience in building backend applications and translating requirements into precise low‑level designs (LLD) Experience in the gaming industry is preferred, but we also welcome those with a passion for working on services that power games Proficient in working with cloud providers such as AWS, Azure, or GCP Bachelor's degree in Computer Science or a technical field of study, or equivalent industry experience Join Skillz and Let's Redefine the Boundaries of Gaming! Together, we'll create a world where skill, passion, and innovation thrive. Join our team and be part of the journey. We look forward to having you on board! Skillz embraces diversity and is proud to be an equal‑opportunity employer. As part of our commitment to diversifying our workforce, we do not discriminate on the basis of age, race, sex, gender, gender identity, color, religion, national origin, sexual orientation, marital status, citizenship, veteran status, or disability status, and we operate in compliance with the San Francisco Fair Chance Ordinance. #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 investment firm in San Francisco is looking for a Forward-Deployed Engineer to serve as a dedicated technical partner for customers using the API Platform. This deeply technical role combines aspects of a solution architect, developer advocate, and technical program manager. Ideal candidates will have over 5 years of experience in technical support engineering or similar fields. Comprehensive health benefits, a 401(k) plan, and equity options are included in the compensation package. #J-18808-Ljbffr

A growing tech company in San Francisco is seeking a Founding Engineer to build an AI pipeline to make government data useful. The ideal candidate knows how to build AI agents, is skilled in React and NextJS, and has a passion for solving national security challenges. This role involves engaging customers to refine the browsing experience. Join a fast-growing team and contribute to critical defense components while working in a collaborative environment. #J-18808-Ljbffr

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

A climate-focused technology company in San Francisco is seeking a full-stack engineer to lead the development of impactful features targeted at reducing carbon emissions. The ideal candidate will thrive in a collaborative environment, work closely with product and design teams, and contribute to sustainable engineering practices. You should have experience with React, Go, and cloud infrastructure, and a genuine passion for using technology to address customer needs and promote sustainability. Competitive salary and meaningful equity are offered. #J-18808-Ljbffr

A tech company revolutionizing workplace safety is seeking a Junior Engineer in San Francisco. This role involves developing real-time video analytics systems, collaborating with multi-disciplinary teams, and impacting the safety of millions. Ideal candidates will have a Bachelor's in Computer Science and some experience in backend development and distributed systems, specifically using cloud tools and APIs. A dynamic work environment with competitive benefits is offered. #J-18808-Ljbffr

A leading cybersecurity firm is seeking a Cyber Security Engineer SME - Associate Director to lead security initiatives and manage enterprise-level solutions, particularly in federal environments. The ideal candidate will have extensive experience in threat detection, incident response, and a strong understanding of cybersecurity standards. Excellent communication skills are vital to convey complex concepts to stakeholders. This role offers a competitive salary and comprehensive benefits. #J-18808-Ljbffr

A leading technology company in San Francisco is seeking a dedicated iOS Developer to build and maintain high-performance services that support global platforms. The ideal candidate holds a degree in Computer Science or related fields, with strong experience in iOS application development, particularly in Swift. The role emphasizes collaboration across disciplines to deliver innovative solutions. Competitive salary range for this position is between $150,000 and $158,000 annually, along with potential bonuses and equity. #J-18808-Ljbffr

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.

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. Job Description 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 Qualifications 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 ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

Job Description Job Type: Temporary Internship: A minimum of 20 hours per week, but up to 40 hours, as determined by internal availability and company workload. Duration: 3-4 months (May/June-August 2026) Compensation: $25-$27/hr Dudek's journey began in 1980 with a vision to serve Southern California's water and wastewater agencies. Today, we are a 100% employee-owned firm supporting clients nationwide and delivering projects that improve and protect the built and natural environments of communities throughout the United States. Our work has been recognized by leading industry organizations, and we've been honored with multiple national Top Workplace Awards. Our employee-owners are unified by a singular commitment to supporting projects that address key societal issues, such as the transition to renewable energy, infrastructure hardening and repair, environmental protection, and community resilience. Learn more about our award-winning culture, the benefits and perks of being a Dudekian, and the projects you will have the opportunity to shape. Who You Are As an employee-owner, you embrace accountability, working safely, and collaboration while thinking resourcefully and independently. Like all Dudekians, you are curious and solution-oriented, with the ability to adapt quickly to changes and approach challenges with a spirit of innovation. How You'll Make an Impact EEPIC strives to expand the environmental, engineering, economics, and planning industries with a workforce that more accurately represents the communities where we live, work, and serve. The mission of EEPIC is to implement a unified internship program for all students in this business sector including but not limited to those students who represent Black, Indigenous, and People of Color (BIPOC), as well as veterans, individuals with disabilities, and/or students who are first in their families to go to college and provide them with opportunities for professional development, networking, and a pathway into the industry. The Environmental, Engineering, and Planning Internship and Charrette (EEPIC) program is a collaborative effort between seven firms (Ascent, Dudek, ESA, Fehr & Peers, Placeworks, EPS, and Rincon) who are all committed to change through the creation of more opportunities in the environmental, engineering and planning fields for students from underrepresented communities. Dudek is currently accepting applications for the 2026 Internship Program through February 6th, 2026, at 6:00 p.m. Program Details Internship will be approximately 3-4 months (May/June -August 2026) A minimum of 20 hours, but more hours can be available if appropriate. The program includes a collaborative 2-week charrette in July working on a project in Berkely, Ca (travel and lodging will be covered, if needed, during the charrette) You will be required to work in-person at one of our California offices. Please note, lodging is not covered for anytime outside of the charrette. What You Will Experience Produce planning, environmental, engineering, economic, and other technical work products. Analyze data and contribute to research. Work with diverse technical teams. Learn about local planning, environmental, engineering issues, and requirements. Conduct assignments in the field (i.e., visit project sites). Participate in public outreach and collaboration. Collaborate and network with other diverse students in the cohort. Minimum Qualifications All candidates must include their cover letter and resume with their application. Current upper division college/university students or recent graduates are desired. However, all community college, undergraduate, graduate, and doctorate students are welcome to apply. Experience using Microsoft Office; PowerPoint, Word, Excel desired. Qualified candidates should be studying one of the related topics of study: Environmental Studies Urban Planning and Design *Your resume and information may be shared with the other collaborating firms to ensure that you have an opportunity to participate* Compensation: $25-27/hourly* *Final agreed-upon compensation will be based on a variety of factors including, but not limited to, an individual's related experience, education, certifications, skills, and work location. Successful candidates must pass a pre-employment drug test and background check prior to beginning employment. Working Conditions: Environment This job operates in a remote or office-based environment and this role routinely uses standard office equipment such as computers, phones, printers, etc. This job may also require occasional project site visits, based outdoors which can include excessive noise, uneven walking surfaces, extreme weather, and moving vehicles and equipment. Physical Requirements The physical demands described here are representative of those that must be met to successfully perform the essential functions of the job. This job requires the following: Working on a computer, sitting, or standing for long periods of time in an office or remote office setting. Employees must be capable of bending, squatting, climbing ladders, and lifting up to 35 lbs. unassisted; 50lbs in a team lift (two or more employees). Attending meetings, both in person and virtually, and speaking on the phone with peers, clients, etc. Specific vision abilities, including close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. Dudek is committed to creating a workplace where all employees, regardless of their background, feel valued, respected, and have equal opportunities to succeed. We believe that a diverse and inclusive workforce is essential to our business success, and we are dedicated to fostering a culture where everyone can thrive. We are committed to fair and equitable processes, based on merit, free from any discrimination. Dudek is genuinely committed to equal employment opportunities within our company and on our project teams. Dudek is also committed to compliance with all applicable laws providing equal employment opportunities. This commitment applies to all persons involved in Dudek's operations and prohibits unlawful discrimination by any employee of Dudek, including supervisors and coworkers. Equal employment opportunities will be extended to all persons (including those with disability and veteran status) in all aspects of the employment relationship, including recruitment, hiring, training, promotion, transfer, compensation, benefits, discipline, layoff, recall, and termination. Any employee who violates this policy and Dudek's commitment to equal employment opportunities will be subject to disciplinary action. Dudek is a U.S.-based employer. All positions are based in the United States and require U.S. work authorization. Powered by JazzHR YlXcuAeVz6

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.

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.

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. Our internship roles will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We are looking for AI interns to work on our massive semi-structured text, graph and user activity data sets. Build highly scalable, highly performant social graph engines, state-of-the-art full-text search engines, and platforms for recommendation and applied data analytics. You will utilize data mining, information retrieval, and machine learning to perfect your strong systems orientation skills. Candidates must be currently enrolled in a master's degree program, with an expected graduation date of December 2026 or later. Our internships are 12 weeks in length and will have the option of two intern sessions: - May 26th, 2026 - August 14th, 2026 - June 15th, 2026 - September 4th, 2026 Responsibilities: - Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation, or search relevance solutions. - Write production quality code and influence the next generation of LinkedIn's systems. Basic Qualifications: - Currently pursuing a M.S. in computer science, statistics, mathematics, electrical engineering, machine learning, or related technical field and returning to the program after the completion of the internship. - Hands-on experience with machine learning, data mining, or statistics. Preferred Qualifications: - Proficient programming skills within large scale projects or professional work experience - Experience or desire to learn Hadoop - Strong command of algorithms and data structures - Proficiency in clustering, collaborative filtering, and classification techniques (Naïve Bayes, SVM, NN, Boosting Methods, etc.) Suggested Skills: - Experience or research in Machine Learning and Deep Learning - Experience working with large data sets and data mining - Strategic thinking and problem-solving capabilities As part of the application process for this role, after an initial qualifications review, candidates are required to successfully complete the HackerRank online code challenge. Instructions for completion of the code challenge will be sent to you if your application is selected to move forward in the process. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $57 to $70. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** **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 Type: Temporary Internship: A minimum of 20 hours per week, but up to 40 hours, as determined by internal availability and company workload. Duration: 3-4 months (May/June-August 2026) Compensation: $25-$27/hr Dudek's journey began in 1980 with a vision to serve Southern California's water and wastewater agencies. Today, we are a 100% employee-owned firm supporting clients nationwide and delivering projects that improve and protect the built and natural environments of communities throughout the United States. Our work has been recognized by leading industry organizations, and we've been honored with multiple national Top Workplace Awards. Our employee-owners are unified by a singular commitment to supporting projects that address key societal issues, such as the transition to renewable energy, infrastructure hardening and repair, environmental protection, and community resilience. Learn more about our award-winning culture, the benefits and perks of being a Dudekian, and the projects you will have the opportunity to shape. Who You Are As an employee-owner, you embrace accountability, working safely, and collaboration while thinking resourcefully and independently. Like all Dudekians, you are curious and solution-oriented, with the ability to adapt quickly to changes and approach challenges with a spirit of innovation. How You'll Make an Impact EEPIC strives to expand the environmental, engineering, economics, and planning industries with a workforce that more accurately represents the communities where we live, work, and serve. The mission of EEPIC is to implement a unified internship program for all students in this business sector including but not limited to those students who represent Black, Indigenous, and People of Color (BIPOC), as well as veterans, individuals with disabilities, and/or students who are first in their families to go to college and provide them with opportunities for professional development, networking, and a pathway into the industry. The Environmental, Engineering, and Planning Internship and Charrette (EEPIC) program is a collaborative effort between seven firms (Ascent, Dudek, ESA, Fehr & Peers, Placeworks, EPS, and Rincon) who are all committed to change through the creation of more opportunities in the environmental, engineering and planning fields for students from underrepresented communities. Dudek is currently accepting applications for the 2026 Internship Program through February 6 th , 2026, at 6:00 p.m. Program Details Internship will be approximately 3-4 months (May/June -August 2026) A minimum of 20 hours, but more hours can be available if appropriate. The program includes a collaborative 2-week charrette in July working on a project in Berkely, Ca (travel and lodging will be covered, if needed, during the charrette) You will be required to work in-person at one of our California offices. Please note, lodging is not covered for anytime outside of the charrette. What You Will Experience Produce planning, environmental, engineering, economic, and other technical work products. Analyze data and contribute to research. Work with diverse technical teams. Learn about local planning, environmental, engineering issues, and requirements. Conduct assignments in the field (i.e., visit project sites). Participate in public outreach and collaboration. Collaborate and network with other diverse students in the cohort. Minimum Qualifications All candidates must include their cover letter and resume with their application. Current upper division college/university students or recent graduates are desired. However, all community college, undergraduate, graduate, and doctorate students are welcome to apply. Experience using Microsoft Office; PowerPoint, Word, Excel desired. Qualified candidates should be studying one of the related topics of study: Environmental Studies Urban Planning and Design *Your resume and information may be shared with the other collaborating firms to ensure that you have an opportunity to participate* Compensation: $25-27/hourly* *Final agreed-upon compensation will be based on a variety of factors including, but not limited to, an individual's related experience, education, certifications, skills, and work location. Successful candidates must pass a pre-employment drug test and background check prior to beginning employment. Working Conditions: Environment This job operates in a remote or office-based environment and this role routinely uses standard office equipment such as computers, phones, printers, etc. This job may also require occasional project site visits, based outdoors which can include excessive noise, uneven walking surfaces, extreme weather, and moving vehicles and equipment. Physical Requirements The physical demands described here are representative of those that must be met to successfully perform the essential functions of the job. This job requires the following: Working on a computer, sitting, or standing for long periods of time in an office or remote office setting. Employees must be capable of bending, squatting, climbing ladders, and lifting up to 35 lbs. unassisted; 50lbs in a team lift (two or more employees). Attending meetings, both in person and virtually, and speaking on the phone with peers, clients, etc. Specific vision abilities, including close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. Dudek is committed to creating a workplace where all employees, regardless of their background, feel valued, respected, and have equal opportunities to succeed. We believe that a diverse and inclusive workforce is essential to our business success, and we are dedicated to fostering a culture where everyone can thrive. We are committed to fair and equitable processes, based on merit, free from any discrimination. Dudek is genuinely committed to equal employment opportunities within our company and on our project teams. Dudek is also committed to compliance with all applicable laws providing equal employment opportunities. This commitment applies to all persons involved in Dudek's operations and prohibits unlawful discrimination by any employee of Dudek, including supervisors and coworkers. Equal employment opportunities will be extended to all persons (including those with disability and veteran status) in all aspects of the employment relationship, including recruitment, hiring, training, promotion, transfer, compensation, benefits, discipline, layoff, recall, and termination. Any employee who violates this policy and Dudek's commitment to equal employment opportunities will be subject to disciplinary action. Dudek is a U.S.-based employer. All positions are based in the United States and require U.S. work authorization.