Engineering internship jobs in San Rafael, CA - 747 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

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

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!

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.

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond. About the role: If you have a strong foundation in math, theory, and software development and you are interested in helping develop Skydio's robotically launched and caught fixed wing (F10), we would love to hear from you. You will be paired up with one or more members of our core team and take ownership of a core project to bring the F10 from prototype to product. How you'll make an impact: * Enable rapid research and development of intelligent systems with advanced autonomous capabilities beyond anything that exists in the world today * Research, prototype, and generally assess the feasibility of new approaches * Imagine and then implement new features that unlock magic for our users * Characterize and quantify the performance of core components of the software and hardware stack What makes you a good fit: * Demonstrated enthusiasm for one or more of the following: motion planning, dynamics and controls, 3D graphics, computer vision, deep learning, distributed systems, tools/infrastructure, mobile * Solid software engineering foundation and a commitment to writing clean, well-architected code * High proficiency in C++ and Python * Ability to thrive in a fast-paced, collaborative, small team environment Compensation Range: The hourly rate for this position is $47/hr for Undergrad, $53/hr for Graduate students, and $58 for PhD students*. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. * For some positions the pay may be dependent upon the individual's regional location. #LI-AY1 At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit *************************

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

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 [email protected] 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: ********************************************

Building the people that build the world. With platforms in HVAC and Detection and Measurement, SPX Technologies builds innovative solutions that enable a safer, more efficient, sustainable world. Through our RiSE talent development framework, we Reach, Identify, Strengthen, and Engage our employees to support them in their continued development. We're a global company of problem solvers, collaborators, and innovators, and our businesses build solutions that impact the world. As part of Detection and Measurement, TCI is a global leader in innovative spectrum monitoring and communications intelligence (COMINT) systems. With solutions to ensure the efficient use of frequencies, long distance communications, monitoring and security communications intelligence applications, we improve communications and protect military forces and infrastructure around the world. How you will make an Impact (Job Summary) SPX is a diverse team of unique individuals who all make an impact. As an “Intern - Engineering” you will have the ability to learn about all areas of the SPX Communication Technologies business while supporting the Engineering department. We are looking for an enthusiastic, self-motivated intern who will get the opportunity to gain experience in several disciplines while working in a successful Engineering environment that designs and builds world leading custom RF and electronic systems. The intern position will be aimed at building real world experience at a pace that suits the intern. Time will be spent around the company, seeing areas of the business that interface with Engineering to help gain a greater appreciation. Time will also be spent on Engineering based projects that will be selected based on the intern's experience, knowledge and interest areas. The position is at our TCI International Inc. facility in Fremont, California. What you can expect in this role (Job Responsibilities) While each day brings new opportunities at SPX, your core responsibilities will be: Developing test applications Conducting Module and System level testing Performing regression testing What we are looking for (Experience, Knowledge, Skills, Abilities, Education) We each bring something to the table, and we are looking for someone who has: Required Experience Currently enrolled in an Electrical Engineering program, entering their junior or senior year of undergraduate degree Commitment to work onsite for three (3) months Preferred Knowledge, Skills, and Abilities C++ programming Python programming Linux scripting TCP/IP networking GUI development Linux Operating environment exposure Database related classwork Embedded development related classwork Spectral Processing related DSP classwork Must have experience with Microsoft Word, Excel, PowerPoint, Outlook Education & Certifications Pursuing undergraduate degree in Electrical Engineering with a graduation between June 2025 and December 2026. Travel & Working Environment No Travel will be required for this role. The role will be based at the TCI International facility in Fremont, California. The Intern - Engineer will be expected to work at the office. Salary Range We recognize that attracting the best talent is key to our strategy and success as a company. As a result, we aim for flexibility in structuring competitive compensation offers to ensure we are able to attract the best candidates. As required by law in this state, the quoted salary range for this position is $24.00-$25.00 per hour and represents our good faith estimate as to what our ideal candidates are likely to expect. We tailor our offers within the range based on organizational needs, internal equity, market data, geographic zone, and the selected candidate's experience, education, industry knowledge, location, technical and communication skills, and other factors that may prove relevant during the selection process. At SPX, it is not common for individuals to be hired at the higher end of the range, and compensation decisions depend on a variety of factors. This position is eligible to participate in a discretionary bonus, subject to the rules governing the plan. SPX offers a variety of benefits, including health benefits, 401K retirement with a company match, and flexible time off. More information about our benefits can be found on the “Rewards and Benefits” section of our career page. How we live our culture Our culture is at the center of what we do and, more importantly, who we are. Our core values set a standard for how we manage ourselves, and our Leadership Model sets the standard for how we engage with each other. Whether you are an individual contributor or you lead a large team, each of us leads at SPX. What benefits do we offer? We know that the well-being of our employees is integral. Our benefits include: Generous and flexible paid time off including paid personal time off, caregiver, parental, and volunteer leave Competitive health insurance plans and 401(k) match, with benefits starting day one Competitive and performance-based compensation packages and bonus plans Educational assistance, leadership development programs, and recognition programs Our commitment to embrace diversity to build a culture of inclusion at SPX We value different backgrounds, experiences, and voices at SPX, and we are committed to challenging ourselves, openly communicating, and striving to improve every day. We believe in creating an inclusive work environment where everyone has a voice and is encouraged to realize their fullest potential. SPX is an affirmative action and equal opportunity employer committed to making selection decisions without regard to race, color, religion, sex, sexual orientation or identity, national origin, age, disability, veteran status, or any other legally protected basis.

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

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.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. We're looking for inquisitive, collaborative UX Engineer interns to bridge design and front‑end engineering. Partnering with mentors across product, design, data, and engineering, you'll prototype and validate ideas, contribute to our design system, and translate research into polished, performant interfaces. Expect real projects, supportive teammates, and opportunities to ship experiences that are accessible, delightful, and meaningful for our Pinners. What you'll do: Take ownership over the completion and quality of your tasks and project while incorporating guidance from your mentor, manager, and peers Execute scoped technical tasks end-to-end to help build the future of Pinterest Deliver code that is well-documented, tested, and operable Bridge design and engineering teams Communicate new ideas and opinions with candor as you grow both professionally and personally through learning and development opportunities What we're looking for: This position requires current enrollment in a school or education program in which the individual is working towards a Master's in statistics, psychology, sociology, applied sciences, computer science or related field Obtain Master's in computer science, statistics, psychology, sociology, applied sciences or related field by 2027 Previous Software Engineering internships Passion for solving user-experience problems / upleveling the quality of the Pinner experience Proficiency in a dynamic programming language such as JavaScript, CSS, C++, HTML, Python, Java, Go-we use a variety of programming languages and tools Ability to continually learn from your experiences We offer 2 internship start dates: May 18, 2026 - August 7, 2026 June 15, 2026 - September 4, 2026 In-Office Requirement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration [1-2 times per week] and therefore needs to be in a commutable distance from one of the following offices [San Francisco]. Relocation Statement: This position may be eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only The minimum and maximum salary for this position is $8,250 - $11,000 monthly. #LI-FILS #LI-HYBRID Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Onwards Together! Illumio is the leader in ransomware and breach containment, redefining how organizations contain cyberattacks and enable operational resilience. Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains threats across hybrid multi-cloud environments - stopping the spread of attacks before they become disasters. Recognized as a Leader in the Forrester Wave™ for Microsegmentation, Illumio enables Zero Trust, strengthening cyber resilience for the infrastructure, systems, and organizations that keep the world running. This is a 12 week internship program beginning on May 26th 2026 or June 22nd 2026 Location: Onsite (5 days a week) at Headquarters in Sunnyvale, CA Our Team's Vision: We are looking for a motivated intern who is interested in backend, platform, or site reliability engineering (SRE). This internship will provide hands-on experience with cloud infrastructure, automation, and modern SRE tools. You will work alongside our Operations, Platform, and Engineering teams to help support the latest Illumio products and learn how large-scale, secure, and highly available systems are built and maintained. What You'll Do: Learn how to design and support scalable and reliable cloud infrastructure Assist engineers in monitoring, troubleshooting, and improving platform and application reliability Gain exposure to Kubernetes, Docker, and cloud-native technologies Help automate tasks and processes using scripting languages (Python, Go, or others) Work with engineers to strengthen security, compliance, and observability of systems Shadow engineers in incident management and root cause analysis Participate in team meetings and collaborate on projects to support ongoing initiatives. Your Tool Kit: Currently enrolled in a full-time Bachelors degree program in Computer Science, Software Engineering, or a related field, with an expected graduation date in Winter 2026/Spring 2027 Familiarity with at least one programming or scripting language (Python, Java, Go, or similar) Knowledge in cloud technologies such as AWS, Azure, or GCP Basic understanding of Linux/Unix systems and networking concepts Curiosity about automation, Infrastructure as Code (eg. Terraform), and containerization (eg. Docker, Kubernetes) Eagerness to learn, ask questions, and contribute in a collaborative environment What You'll Gain: Hands-on experience facilitating SOC 2 Type 2, ISO/IEC 27001/27701, PCI DSS 4.0 assessments, and other compliance initiatives Exposure to GRC tools such as VisoTrust, Drata/Safebase, and Apptega Opportunities to identify, create, or improve key security and compliance processes or internal controls Collaboration with cross-functional teams including Legal, Sales, Cloud Operations, and Customer Success Mentorship from experienced professionals in GRC and cybersecurity A deeper understanding of how compliance frameworks support customer trust and business growth A supportive and inclusive environment that values transparency, accountability, and continuous learning Our Commitment: Illumio believes that an environment of unique backgrounds, experiences, viewpoints, and individual contributions drives our success and makes us stronger together. We are dedicated to creating and maintaining a diverse culture and emphasizing inclusion and belonging. #LI-PO #LI-ONSITE All official job offers from our company are extended directly by our recruitment team and will be sent through an official E-Signature document for your review and signature. Please be aware that we do not ask for any personal information in the process of extending offers of employment, such as financial details or social security numbers. Upon acceptance of any offer, we will request such information as part of the onboarding process prior to or on your first day of employment, and only after completing a background check through an authorized third-party vendor. If you receive any communication asking for personal details outside of these processes, please contact us immediately to verify the authenticity of the request. Your security is important to us, and we are committed to a safe and transparent hiring experience. For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Illumio will consider for employment qualified applicants with arrest and conviction records.

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!

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond. About the role: The core of our system is the computer vision algorithms that allow drones to understand the world around them. You will architect and implement the algorithms that run on every drone powered by Skydio as part of a world class computer vision and deep learning team with researchers who have pushed the state of the art in academia and industry. We are looking for interns for our Summer program. As a Research Intern, you will be paired up with one or more members of our core software development team, assuming direct ownership of a project that meaningfully advances the capabilities of our team and products. If you have a strong foundation in math, theory, and software development and you are interested in directly contributing to the development of the next generation of autonomy algorithms and pushing them into real products, we would love to hear from you. How you'll make an impact: * Enable rapid research and development of intelligent systems with advanced autonomous capabilities beyond anything that exists in the world today * Research, prototype, and generally assess the feasibility of new approaches * Imagine and then implement new features that unlock magic for our users * Characterize and quantify the performance of core components of the software and hardware stack What makes you a strong fit: * High proficiency in C++ and/or Python and PyTorch * Demonstrated enthusiasm for one or more of the following: computer vision, deep learning, motion planning, dynamics and controls, 3D graphics, distributed systems, and tools/infrastructure * Solid software engineering foundation and a commitment to writing clean, well-architected code * Ability to thrive in a fast-paced, collaborative, small team environment Compensation Range: The annual base salary range for this position is $47/hr for Undergrad and $53/hr for Graduate students* Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Skydio full-time employees are eligible to enroll in our benefit plans and take advantage of a variety of incentives and stipends. * For some positions the pay may be dependent upon the individual's regional location. #LI-AY1 At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit *************************

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 * 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) * 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

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 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!