Program development internship jobs in Oakland, CA - 659 jobs

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. First to deliver the best imaging and classification data for every defect or point on any layer at any time. EBeam's mission encapsulates its role as the “eyes” of KLA's product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process. Job Description/Preferred Qualifications KLA is seeking applications for an Computer Vision/Machine Learning intern in Ebeam division to research and prototype cutting edge image processing and machine learning algorithms for our next-gen products. We are one of the pioneering companies in the Semi-Conductor industry to use Deep Learning algorithms for defect detection and classification. In addition, we are actively exploring using Generative/Diffusion models for SEM image simulation and image quality enhancement. Preferred Qualifications: Working experience in one of the following: Image Processing, Machine Learning, Computer Vision, Deep Learning. Working knowledge in one of the following SW: Tensorflow, Pytorch, Python, MATLAB. Minimum Qualifications Students working towards a Master's or PhD Level Degree in Computer Science, Electrical Engineering or related field. Base Pay Range: $0.00 - $0.00Primary Location: USA-CA-Milpitas-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at ************************** or at *************** to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to ************************** to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

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 Our dedicated team members are building the future of Cisco's AI-driven platforms and data infrastructure, supporting innovation across the globe. You will join teams focused on developing advanced data pipelines, machine learning infrastructure, and analytics platforms within business groups such as S&TO, Supply Chain, and Infrastructure Engineering. As part of this collaborative environment, you will contribute to the growth of emerging technologies in data and intelligent systems. Explore the opportunities at the intersection of data engineering and AI, helping to transform how Cisco and its customers harness information and intelligent automation. Your Impact You are a passionate software engineer with expertise in developing scalable data pipelines, designing robust analytics platforms, and building infrastructure to support machine learning initiatives. Your strong background in programming, data systems, and collaboration enables you to solve complex challenges with innovation and attention to detail. By building and maintaining key software tools and platforms, you enable Cisco's business groups to leverage AI and data-driven insights for operational excellence and strategic growth. Your work ensures high-quality, reliable data infrastructure that supports Cisco's leadership in intelligent, scalable technology solutions. Minimum Qualifications * Currently enrolled in a PhD program in Computer Science, Artificial Intelligence, Machine Learning, or a related field. * Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. * Familiarity with distributed data processing technologies, including Apache Spark, Hadoop (MapReduce), or Apache Flink. * Experience with containerization and orchestration tools, such as Docker and Kubernetes, for deploying data and machine learning workloads. Preferred Qualifications * Hands-on experience with AI/ML. * Familiarity with major cloud platforms, such as AWS, Azure, or Google Cloud. * Understanding of distributed systems concepts, including scalability, reliability, fault tolerance, and data consistency, as well as familiarity with distributed computing patterns (e.g., load balancing, consensus algorithms, and inter-service communication). 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.

Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit ************* What your impact will be As a Software Engineer Intern at Domino, you'll spend 10-12 weeks working alongside talented engineers from all backgrounds to help build the platform that powers how data science is done at some of the world's largest companies. Our interns are versatile and eager to learn, contributing across the full stack from backend services and APIs, to frontend features, to integrations with cloud providers like AWS, Azure, and GCP. Throughout your internship, you'll gain hands-on experience in designing, coding, testing, and delivering features that support real-world enterprise use cases. You'll work closely with experienced engineers, receive mentorship, and have opportunities to learn new technologies while making a meaningful impact on your team. At Domino, we trust our interns to contribute to important and visible projects from the start. You'll leave the program with practical engineering experience, exposure to scalable enterprise systems, and an understanding of what it means to build software at the intersection of data science and AI/ML. What we look for in this role Strong computer science fundamentals and experience with modern software engineering practices (algorithms, data structures, operating systems, networking, etc.) Proficiency with one or more of our core technologies: Python, Go, TypeScript, React, GraphQL, Kubernetes, Docker, Postgres, Redis, Kafka. Excitement about learning new technologies and contributing to scalable enterprise systems Graduating in Spring 2027 or later, currently pursuing a Bachelor's or Master's degree in Computer Science or a related field What we value We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success We believe in individuals who seek truth and speak the truth and can be their whole selves at work We value all of you that believe improving is always possible. At Domino, everything is a work in progress - we can do better at everything We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company #LI-Remote The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Compensation Range $40-$45 USD

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD , WD_BLACK™, and Sandisk Professional Brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. Job Description This internship opportunity is in Western Digital's Research organization, which tackles advanced long-horizon problems related to data storage, computation and communication. In addition to supporting magnetic storage and memory roadmap of Western Digital, we are focused on several key areas that are well aligned with our existing experimental and theoretical skills, and existing laboratory facilities Western Digital Research has a number of projects for ambitious graduate students. Our group has projects emphasizing either embedded AI inference or the design and testing of superconducting quantum computing qubits. Depending on the skills of the student, the responsibilities may be divided into one of two tracks. Track 1: As an Intern in Quantum Computing, your project will require several of the following tasks: Assist in the design and testing of superconducting quantum computing qubits Collaborate with team members on quantum computing experiments and simulations Propose and simulate laboratory test structures for evaluating the performance of our qubit designs Analyze and interpret experimental data using various data analysis and visualization tools Participate in the development of quantum information theory concepts and applications Assist in the preparation of research reports and presentations Engage in literature reviews to stay updated on the latest advancements in quantum computing Support the team in maintaining and calibrating quantum computing equipment Collaborate with interdisciplinary teams to integrate quantum computing solutions with other technologies Participate in regular team meetings and contribute ideas for project improvements Assist in documenting research findings and maintaining accurate records of experiments Contribute to the development of quantum error correction techniques Track 2: As an intern in Embedded AI Inference, your project will require several of the following tasks: Assist in the fine-tuning and optimization of AI models for embedded systems Implement and test machine learning algorithms on various hardware platform Create error models to simulate the impact of noise or circuit variability in analog inference accelerators Contribute to the design of efficient neural network architectures for resource-constrained devices Collaborate with the team to improve inference speed and accuracy on embedded devices Participate in data collection, preprocessing, and augmentation for AI model training Assist in the evaluation and benchmarking of AI models on different embedded platforms Contribute to the development of firmware tools and frameworks for embedded AI deployment Support the integration of AI models with embedded software and hardware systems Engage in literature reviews to stay updated on the latest advancements in embedded AI Assist in the preparation of technical documentation and research reports In either track, you will be part of a broader collaborative team, which places strong emphasis on communication skills and team spirit, in addition to strong technical skills. Qualifications Skills of general applicability to either track: Currently pursuing a PhD degree in Physics, Computer Science, Electrical Engineering, or a related field Excellent problem-solving skills and ability to think critically Experience with data analysis and visualization tools Strong attention to detail and ability to work efficiently in a team-focused environment Excellent organizational skills and ability to manage multiple tasks simultaneously Effective communication skills, both written and verbal Ability to work collaboratively in a team environment Proficiency in version control systems (e.g., Git) Familiarity with agile development methodologies Demonstrated ability to learn and adapt to new technologies quickly Technical skills applicable to the Quantum Computing Track: Strong foundation in quantum computing principles and quantum mechanics Proficiency in programming languages such as Python, Q#, or Qiskit Solid understanding of linear algebra and its applications in quantum computing Basic understanding of quantum information theory Academic projects, coursework or other experience in quantum computing, RF circuit design, or other superconducting device physics is preferred Familiarity with quantum error correction techniques Experience with quantum circuit design and optimization Technical skills applicable to the Embedded AI Inference Track: Strong background in machine learning and deep learning algorithms Proficiency in programming languages such as Python, C++, or TensorFlow Experience with embedded systems and microcontrollers Familiarity with AI model optimization techniques for resource-constrained devices Knowledge of computer architecture, digital logic design and and hardware-software co-design Experience with signal processing and digital signal processors (DSPs) Understanding of low-power design principles for embedded systems Familiarity with AI frameworks such as TensorFlow Lite, ONNX Runtime, or LLVM MLIR Some experience with FPGA programming is preferred Additional Information Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here. Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 01/14/2025 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. Based on our experience, we anticipate that the application deadline will be 04/13/2026, although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-MT Compensation & Benefits Details An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. You will be eligible to be considered for bonuses under either Western Digital's Short Term Incentive Plan (“STI Plan”) or the Sales Incentive Plan (“SIP”) which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Notice To Candidates: Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline or email ******************.

About the role: The Computational Biology group at 10x Genomics is looking for an outstanding intern to work with us in the summer of 2026 for our Xenium product. This person will investigate and develop approaches on Few-Shot Learning for adapting a pre-trained cell segmentation model to a much wider range of cell morphologies, using only a very limited amount of annotated samples. They will work closely with our imaging and assay-development teams to push the state-of-the-art in spatial transcriptomics. The intern will be involved in selecting, implementing, testing, and optimizing models for the purpose of few shot learning, rapidly prototyping methods for internal experiments and early R&D. Interns will work on a mix of “real-world” product features that will ship to customers soon, and longer-term exploratory proof-of-concept work to test new ideas. Individuals applying for this position should have a strong background in computer vision and machine learning. You have a deep understanding of the theory, implementation, and practical application of various relevant algorithms. You can take an idea, quickly implement it in code, and evaluate its performance. You must be self-starters, strategic thinkers, action driven, and thrive in a fast paced environment. What You Will Be Doing: Select, implement, test, and optimize prediction methods to extract relevant information from imaging data. Rapidly prototype methods for internal experiments & early R&D Build analytical models or simulations to understand and communicate key trade-offs of model design and data quality. Create high-quality and robust implementations of production algorithms. Required Skills and Background: Currently enrolled in a M.S. or Ph.D program in computer science, computational biology or a related field Strong skills in image processing (feature extraction, object detection & classification, segmentation, etc.), including both classical algorithmic approaches and deep learning. Strong programming ability in Python or Rust/C/C++ Ability to research existing methods from literature, adapt them to the problems at hand, and turn them into well architected code. A combination of mathematical depth with a healthy respect for the imperfections inherent in real-world data. Experience with cell, fluorescence, and/or histology imaging is a plus. Below is the base pay range for this position. The actual base pay will depend on several factors unique to each candidate, including one's skills, qualifications, and experience. Unless otherwise required by law, this role is not eligible for 10x's health benefit program. During the hiring process, your 10x recruiter can share more information about the Company's compensation and benefits. Pay Range$40-$48 USD About 10x Genomics At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world. We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience. Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference. Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law. 10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Internship Term: Summer 2026 This is a bucket application, and is not an official opening. Your application can be considered for Rivian's 2026 internship programs. If you are selected, you will receive communication with specific responsibilities and qualifications for the role you are being considered for. Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between Fall 2026 through Spring 2028. Rivian's Internship Program requires active student enrollment. Information regarding your expected degree completion date is collected solely to verify eligibility and determine your availability for future full-time opportunities. Rivian is an equal opportunity employer and does not use graduation dates to determine the age of applicants or as a basis for discriminatory hiring decisions. If you are not pursuing a degree, please see our full time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. Responsibilities Applying to this opening will place you into consideration for Rivian's 2026 summer internship program. Teams your application can be considered for include: Autonomy ADAS Electrical Hardware, Sensors Qualifications Must be currently pursuing a bachelors, masters, or PhD degree at an accredited university. Actively pursuing a degree or one closely related in computer science, computer engineering, electrical engineering or similar. Development experience in one or more areas of computer vision, image/video, deep learning. Experience programming in C++, Python, or related languages. Solid understanding of machine learning, deep learning, and neural network architectures. Proficiency in using computer vision and deep learning toolkits. Passionately motivated to take ideas from R&D phase to a product Strong written communication and presentation skills. Pay Disclosure Salary Range/Hourly Rate for Internships: The range of pay for internships is 25.00-51.00 per hour. Actual compensation will be determined based on location, and other factors permitted by law. Rivian provides robust wellness benefits, and a medical insurance package for interns, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Must be currently pursuing a bachelors, masters, or PhD degree at an accredited university. Actively pursuing a degree or one closely related in computer science, computer engineering, electrical engineering or similar. Development experience in one or more areas of computer vision, image/video, deep learning. Experience programming in C++, Python, or related languages. Solid understanding of machine learning, deep learning, and neural network architectures. Proficiency in using computer vision and deep learning toolkits. Passionately motivated to take ideas from R&D phase to a product Strong written communication and presentation skills. Applying to this opening will place you into consideration for Rivian's 2026 summer internship program. Teams your application can be considered for include: Autonomy ADAS Electrical Hardware, Sensors

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: We are looking for interns for the Summer 2026 Season. Reliable embedded firmware acts as the brain stem of our autonomous drones and accessory products -- bridging the gap between the algorithms and the sensors/mechanical hardware. As an Embedded Software Engineering Intern, you will have the opportunity to help define and develop functionality for internal teams and/or current & future products in a collaborative, fast-paced environment. An ideal intern candidate is a junior, senior, or MS-level college student with industry experience developing device-level embedded software or firmware. About the team: Our team is responsible for large portions of the software engineering stack, working on a wide variety of subsystems. We write bare metal and RTOS microcontroller code (generally STM32 product line), integrate and write code for embedded linux and android platforms (Qualcomm and Nvidia SOCs), maintain the associated linux kernels, and help design and bring up all new electronics. * We work closely with both the hardware team and the rest of the software organization, creating the foundation for the rest of the Skydio software team to build upon. How you'll make an impact: * Develop and implement the embedded software that runs on the drone and our growing accessory product lines e.g. Skydio Dock * Characterize, integrate, and validate key subsystems (e.g. cameras, radios, flight controllers) * Bring up and debug new hardware * Write interfaces and drivers for sensors, cameras, and other devices What makes you a good fit: * Practical experience writing firmware/embedded code for a physical device * Proficiency with C++ within the context of embedded systems * Proficiency with Python for testing, experimentation, and tools development * Ability to write clean code with appropriate abstraction boundaries * Ability to read schematics and use standard debugging equipment: oscilloscope, logic analyzer, multimeter * Ownership in digging into complex problems * Bonus points for embedded linux userspace and kernel development * Bonus points for knowledge of debugging systems at ARM assembly code level Compensation Range: The hourly base salary range 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. 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, compensation may be dependent upon 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 *************************

What Your Job Will Be Like The Computer Science Research Institute (CSRI) seeks several students (job title: summer R&D undergraduate intern) to participate in collaborative research across a wide range of areas in computer science, applied mathematics, discrete mathematics, mathematical modeling, computational science and engineering, and high-performance computing. Possible research areas are broad and include quantum computing, artificial intelligence, machine learning, advanced computer architectures, systems software, parallel algorithms, programming languages and paradigms, data sciences, materials, combinatorial mathematics, discrete event simulation, scalable solvers, continuous and discrete optimization, uncertainty quantification, statistics, multiscale methods and mathematics, multiphysics modeling, visualization, meshing, advanced modeling and simulation, human decision modeling, and brain inspired computing. Students are also sought with interests in applying computational methods to scientific and engineering applications including shock physics, molecular dynamics, magnetohydrodynamics, computational fluid dynamics, electrical systems, and climate security. These student internships are for motivated and enthusiastic individuals with excellent communication skills and who have the desire to gain research experience in a highly collaborative research environment. Successful applicants will be exposed to a wide range of computational research at Sandia and will have a strong project-based research experience working directly with Sandia staff scientists. This opportunity is for Sandia's Livermore, CA laboratory. On any given day, the intern maybe involved in activities related to the above research areas. Depending on the intern interests, the work may be more focused on research or software development. Potential activities include: * Assisting with research and development activities (reviewing existing techniques, seeking new approaches, developing computing solutions) * Helping to develop algorithms and software for the research area * Helping to run simulation codes * Collaboration with Sandia staff involved in the research area * Assisting with publication of analysis * Presenting results to the research group The selected applicant can be a remote worker located in any U.S. State or District of Columbia. Regular or periodic travel to your assigned work location may be required. Salary Range At Sandia, we value the important work done by our interns and its contribution to National Security. Because of this, our interns earn competitive pay rates. Our pay structure is based on earned credit hours, classification, and degree level. Your pay rate will be determined during the hire process and included in your offer package. You can view the Intern Pay Rate chart here. Qualifications We Require You bring the confidence and skills to be eligible for the job by meeting these minimum requirements: * Currently attending and enrolled full time in the spring term immediately preceding the internship (or scheduled to graduate in the spring) in an accredited undergraduate program * Pursuing a science, engineering, or math major * Minimum cumulative GPA of 3.0/4.0 * Ability to work up to 40 hours per week during the summer * U.S. citizens, legal permanent residents, asylees or refugees in the U.S. Note: If you have not earned a HS diploma or equivalent, please apply to a high school intern position. Qualifications We Desire * Majoring in chemistry, computer science, engineering, mathematics, neuroscience, physics, statistics, or a related field * Communication skills appropriate for participating in multi-disciplinary research teams * Software development and programming experience (C++, C, Fortran, Matlab, Java, Python) * Knowledge or the interest to learn parallel programming such as MPI, OpenMP, and/or threads * Experience with mathematical modeling techniques (e.g., linear and integer programming, statistical modeling, system dynamics modeling) Posting Duration This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time. About Our Team The Computer Science Research Institute (CSRI) at Sandia creates technology and solutions for many of our nation's most demanding national security challenges. The Institutes' portfolio spans the spectrum from fundamental research to state-of-the-art applications. Our work includes computer system architecture (both hardware and software); enabling technology for modeling physical and engineering systems; and support research in discrete mathematics, data analytics, and decision support. The CSRI enterprise is closely tied to the laboratories' broader set of missions and strategies. Application areas include nuclear weapons, cyber security, climate modeling, alternative energy technologies, and improvements to the power grid. We also serve as stewards of important capabilities for the nation in high-strain-rate physics, scientific visualization, mesh generation, and computational materials. We maintain world-class research programs in computational and discrete mathematics, computer science, scalable algorithms, and large-scale high performance computer systems. The CSRI is an exciting and highly multidisciplinary research environment. CSRI interns have access to Sandia's state-of-the-art parallel-computing environment including numerous large-scale clusters, visualization servers, and other specialized computing systems. About Sandia Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs: * Challenging work with amazing impact that contributes to security, peace, and freedom worldwide * Extraordinary co-workers * Some of the best tools, equipment, and research facilities in the world * Career advancement and enrichment opportunities * Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home) * Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* World-changing technologies. Life-changing careers. Learn more about Sandia at: ********************* * These benefits vary by job classification. Security Clearance This position does not currently require a Department of Energy (DOE) security clearance. Sandia will conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Furthermore, employees in New Mexico need to pass a U.S. Air Force background screen for access to Kirtland Air Force Base. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause access to be denied or terminated, resulting in the inability to perform the duties assigned and subsequent termination of employment. Under federal law, citizens and agents of the People's Republic of China, the Islamic Republic of Iran, the Democratic People's Republic of North Korea, and the Russian Federation are generally prohibited from accessing Sandia National Laboratories. Accordingly, such individuals will not be considered for employment unless they are also a citizen of the United States. If hired without a clearance and it subsequently becomes necessary to obtain and maintain one for the position, or you bid on positions that require a clearance, a pre-processing background review may be conducted prior to a required federal background investigation. Applicants for a DOE security clearance need to be U.S. citizens. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted. Members of the workforce (MOWs) hired at Sandia who require uncleared access for greater than 179 days during their employment, are required to go through the Uncleared Personal Identity Verification (UPIV) process. Access includes physical and/or cyber (logical) access, as well as remote access to any NNSA information technology (IT) systems. UPIV requirements are not applicable to individuals who require a DOE personnel security clearance for the performance of their SNL employment or to foreign nationals. The UPIV process will include the completion of a USAccess Enrollment, SF-85 (Questionnaire for Non-Sensitive Positions) and OF-306 (Declaration of for Federal Employment). An unfavorable UPIV determination will result in immediate retrieval of the SNL issued badge, removal of cyber (logical) access and/or removal from SNL subcontract. All MOWs may appeal the unfavorable UPIV determination to DOE/NNSA immediately. If the appeal is unsuccessful, the MOW may try to go through the UPIV process one year after the decision date. EEO All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law. NNSA Requirements for MedPEDs If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs. If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date. Apply for Job * Careers * Sign In * New User

Biohub is leading the new era of AI-powered biology to cure or prevent disease through its 501c3 medical research organization, with the support of the Chan Zuckerberg Initiative. The Team The Biohub is a group of nonprofit research institutes that bring together scientists, engineers, and physicians with the goal of pursuing grand scientific challenges on 10- to 15-year time horizons. The Biohub focuses on understanding underlying mechanisms of disease and developing new technologies that will lead to actionable diagnostics and effective therapies. Our Vision We pursue large scientific challenges that cannot be pursued in conventional environments We enable individual investigators to pursue their riskiest and most innovative ideas The technologies developed at the Biohub facilitate research by scientists and clinicians at our home institutions and beyond Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution. The Opportunity The Biohub in San Francisco is seeking highly motivated PhD-level students to join our 10-week Summer Internship Program, running from June 16, 2026, to August 21, 2026. Computational Biology Interns are embedded within active research teams and contribute directly to ongoing scientific programs. Each project is thoughtfully scoped to be achievable within the internship timeframe while delivering meaningful scientific and technical impact. Interns will spend the summer immersed in real-world research alongside biomedical researchers, research scientists, data scientists, and engineers. In addition to gaining hands-on experience in computational analysis and biological data interpretation, interns will develop critical professional skills-including scientific communication, problem-solving, and cross-disciplinary collaboration-and will have opportunities to build relationships with scientists who provide mentorship, guidance, and career insight. Available Project Areas (Summer 2026) Computational Cryo-Electron Tomography Analysis for Cilia Biology This project focuses on developing and evaluating computational workflows for analyzing cryo-electron tomography (cryo ET) data from primary cilia-disease-relevant organelles central to cellular signaling. The intern will work with real in situ cryo ET datasets generated using focused ion beam (FIB) milling and advanced electron microscopy techniques. In close collaboration with experimental and computational partners, the intern will contribute to data quality assessment, automated annotation (including segmentation and particle picking), benchmarking of computational methods, and workflow documentation. The project emphasizes applying and stress-testing automated analysis tools on challenging biological datasets to support scalable, reproducible cryo ET analysis. By the end of the internship, the intern will have helped deliver a tested and well-documented computational analysis pipeline tailored to cilia cryo ET data, along with clear benchmarks of automated method performance on in situ samples. What You'll Do Receive support through a 10-week experience Receive mentorship to support your personal and professional development Gain and enhance your technical and transferable skills through training and seminars Learn how to design, plan, and carry out laboratory and/or computational scientific experiments Present at the end-of-program symposium Build relationships with peers and colleagues What You'll Bring Currently pursuing a bachelor's degree in physics, engineering, computer science, or a life science-related field Demonstrated programming experience in languages such as Python, MATLAB, C++, ROS, or similar Interest in hardware automation, imaging systems, robotics, or instrumentation-driven research Prior research experience through coursework, academic projects, or internships Ability to work independently while collaborating effectively within a multidisciplinary team Clear and effective verbal and written communication skills Program Eligibility Must be a current undergraduate student (enrolled full time at a college or university both Spring 2026 AND Fall 2026 terms) Must be able to commit to the 10-week Summer Internship Program June 16, 2026, to August 21, 2026. Must be able to be on-site at the Biohub in San Francisco for the duration of the program Compensation The Redwood City, CA base pay range for a new hire in this role is $56.73/hour - $78.26/hour. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. What We Provide Hands-on, one-of-a-kind experience Hourly compensation Invaluable relationships Trainings and seminars Social events/activities Housing & Work Location Interns are responsible for securing and paying for their own housing for the duration of the internship. This internship is fully on-site, and interns are expected to be present on-site for the full program duration. The organization does not provide housing or housing stipends as part of the internship program. What to Expect: Application & Program Timeline We aim to make our internship hiring process transparent and predictable. Below is the anticipated timeline for the Summer 2026 Program: January 16, 2026 - Applications open February 1, 2026 - Application deadline All application materials must be submitted by this date for full consideration. Late January - February 2026 - Application review & interviews Applications will be reviewed by the recruiting and research teams. Selected candidates will be invited to interviews during this period. March 2026 - Offers extended and finalized Internship offers will be extended on a rolling basis, with all offers expected to be accepted by early March. June 16 - August 21, 2026 - Summer Internship Program Interns join Biohub for a 10-week, immersive research experience, concluding with an end-of-program symposium. Dates are subject to minor adjustments; candidates will be kept informed throughout the process. #LI-Onsite

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Hippocampus Software Team works closely with other teams-neuroscientists, physicists, roboticists, chip designers, pathologists, and mechanical engineers-to build Neuralink's centralized data aggregation and analysis platform. This data platform collects, organizes, and visualizes a diverse set of data ranging from neural signal recordings and brain histology images to microfabrication manufacturing data. Our team owns projects that drive engineering and experimentation at Neuralink. We operate like an internal startup - rapidly prototyping and building software that solves problems for the company. This usually takes the form of full-stack tools, but can be any tech stack. If you are obsessed with smooth user experience and love to iterate rapidly on software, you may be a good fit for this role! Job Description & Responsibilities: We are looking for versatile software engineers who are interested in architecting and implementing elegant software solutions and thrive with the autonomy to propose creative approaches to problems. As a Software Engineer Intern, you will be responsible for working on: ERP software that orchestrates and tracks everything involved designing and manufacturing brain-machine interfaces Data platforms to collect, organize, and visualize a diverse set of data ranging from neural signal recordings, device telemetries, surgery recordings, to manufacturing data Lab Systems software, our digital collaboration hub for all teams within the company Devops and infrastructure to increase developer productivity Neuralink strives to be, as much as possible, a meritocratic environment: we require honest and transparent communication to ensure the best ideas win out. Additionally, we believe the best solutions emerge and the best teams form when you assemble high-performing individuals with different skill sets and perspectives, and allow them to engage in rigorous and thoughtful inquiry. We want to work with exceptional people, and, to the extent that you excel, we want you to take on more responsibility and help all of us succeed. If this speaks to you, come join us! Required Qualifications: Demonstrated experience in shipping a product that has been actively used, regardless of tech stack or domain (e.g., full-stack, machine learning, etc.) Ability to design and implement simple and elegant software solutions Proven track record of shipping software with real-world impact Enthusiasm for technology and software Understanding of how systems work at a fundamental level Available for a Winter 2026 internship (January) or a later season Preferred Qualifications: Familiarity with Ruby, Python, and/or JavaScript Experience with C/C++/Rust Knowledge of container management and orchestration Experience with full-stack application frameworks like Ruby on Rails or Django Understanding of web development Experience with infrastructure development Expected Compensation: The anticipated hourly rate for this position is listed below. California Hourly Flat Rate: $35/Hr USD What We Offer: Full-time employees are eligible for the following benefits listed below. An opportunity to change the world and work with some of the smartest and most talented experts from different fields Growth potential; we rapidly advance team members who have an outsized impact Excellent medical, dental, and vision insurance through a PPO plan Paid holidays Commuter benefits Meals provided Equity (RSUs) *Temporary Employees & Interns excluded 401(k) plan *Interns initially excluded until they work 1,000 hours Parental leave *Temporary Employees & Interns excluded Flexible time off *Temporary Employees & Interns excluded

Genesis Molecular AI is bringing together a world-class computational team to build out the industry's fastest and most accurate small molecule property predictions, by combining the power of machine learning and physics-based methods. We are seeking early career scientists skilled in developing and applying computational chemistry and physics methodologies to help drive forward our challenging drug discovery programs. You will * Develop and refine advanced computational chemistry and physics methodologies to help solve pressing challenges in our internal drug discovery programs * Collaborate with our machine learning team on hybrid physics/ML methods for predicting structure, potency, and other properties relevant to drug discovery. * Work closely with our computer-aided drug discovery scientists and medicinal chemists to develop, benchmark, and deploy improvements to our drug discovery platform as it is applied to our internal and partnered drug discovery programs. You are * A graduate student with a proven track record of applying or developing computational chemistry and physics methods. * Passionate about building methods to solve real problems. * A skilled programmer, preferably in Python, such that you can quickly implement your research ideas and analyze their performance. What we offer * The opportunity to work on challenging, high impact computational chemistry research that is immediately deployed to accelerate the discovery of new medicines. * A world-class, tight-knit team of good-hearted people across software, machine learning, computational chemistry, medicinal chemistry, and biology. * Competitive salary and equity. Medical, dental, and vision insurance, and a 401(k) program. * One-on-one mentor to help guide your research and act as a point person for questions. Application & Hiring Timeline * Application Deadline: January 9, 2026 * Resume Review: Beginning January 12, 2026 * Interviews Kick-Off: January 26, 2026 * Target Start Date: May-June 2026 About Genesis Molecular AI Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. The company's generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Genesis has raised over $300 million from leading AI, tech and life science-focused investors, signed multiple AI-focused research collaborations with major pharma partners, and is deploying GEMS to advance an internal therapeutics pipeline for a variety of high-impact targets. Genesis is headquartered in San Mateo, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.

As part of Mobile Platform Services (MPS) within Samsung Research America, you will join the Advanced Research Team focused on cutting-edge computer vision, machine learning, and AI-driven XR (AR, MR, VR) technologies. Our mission is to build the next generation of head-mounted displays, spanning both commercial products and forward-looking research that will shape Samsung's technology roadmap over the coming years. Position Summary: The Computer Vision & Machine Learning Intern will contribute to research and development of on-device image transformation, image denoising, image quality enhancement, and machine learning technologies across Samsung platforms. This role bridges research and product development, emphasizing the creation of innovative, efficient, and production-ready solutions for AR/VR systems. The position places particular emphasis on image transformation, denoising, and visual quality enhancement using computer vision and machine learning algorithms optimized for mobile and embedded devices. Position Responsibilities: Research and develop computer vision and machine learning algorithms for image transformation, denoising, and quality enhancement. Optimize and deploy GPU-accelerated ML pipelines on mobile and Android platforms. Prototype, evaluate, and refine algorithms for both research exploration and product integration. Collaborate closely with researchers and engineers to transition concepts into reliable, production-level solutions. Contribute to XR-related technologies including AR/VR imaging and perception pipelines. Required Skills: Currently pursuing a Master's or PhD in Computer Vision, Machine Learning, or a related field. Hands-on experience with image denoising and image quality enhancement techniques. Experience with GPU processing on Android platforms. Strong understanding of deep learning algorithms, including model tuning and optimization using GPU libraries. Familiarity with key CV/ML areas such as: Image visual quality and readability enhancement Camera tracking and calibration Camera geometry and image transformation Machine learning modeling and optimization Solid foundation in software engineering principles and tools. Proficiency in C/C++ and at least one prototyping language such as Python. Strong collaboration, communication, self-motivation, and learning skills. Special Attributes: Experience with AR glasses, AR/VR headsets, or XR development platforms. Exposure to real-time or resource-constrained ML systems on mobile or embedded hardware. Our total rewards programs are designed to motivate and engage exceptional talent. The hourly pay rate range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the hourly pay rate range, individual rates depend on a number of factors-including the role's function and location as well as the individual's knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well. Hourly Pay Rate Range $44 - $63 USD Additional Information Disclosure of Trade Secrets Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer. Essential Job Functions This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers. Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email *********************. Equal Employment Opportunity At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency

Our Summer Internship Program is meticulously designed to provide students with an immersive and dynamic experience within our industry, offering a taste of what it's like to be part of our professional team. We strive to simulate a full-time job, enabling our interns to work hands-on with cutting-edge technology, contribute to meaningful projects, build strong relationships with coworkers, and develop strategic problem-solving skills. Our program is highly selective, hosting only a handful of interns each year, ensuring personalized attention and ample opportunities to work closely with AV team members. We are hiring for various roles and locations throughout the US, during the interview process we will be able to discuss specific details regarding team and location. Summary As a Software Engineering Intern, you'll be part of a collaborative, multidisciplinary team working on real-world projects across AV technology portfolio. You'll assist in the design, development, and testing of software solutions for a variety of applications - from ground control systems and user interfaces to data pipelines and simulation tools. This role is ideal for someone who's eager to apply their software development skills in a dynamic, hands-on environment, while learning from experienced engineers and contributing to projects with real impact. Position Responsibilities * Assist in the design, coding, testing, and debugging of software components and systems. * Contribute to the development of tools and applications that support AV robotics and aerospace platforms. * Collaborate with engineers across software, hardware, and systems teams to integrate and test new capabilities. * Participate in code reviews, documentation, and the use of version control and defect tracking tools. * Help develop scripts or automation to improve team workflows and efficiency. * Learn and apply best practices in software development processes, including Agile methodologies. * Support the development of prototypes, simulations, and proof-of-concept demonstrations. * Attend team meetings, contribute ideas, and learn to estimate development effort and timelines. Basic Qualifications (Required Skills & Experience) * Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. * Strong foundational knowledge in programming languages such as Python, C++, or Java. * Familiarity with development tools such as Visual Studio, Git, Eclipse, or similar IDEs. * Experience with data structures, algorithms, and software design principles. * Demonstrated problem-solving and analytical skills. * Ability to work both independently and collaboratively in a team environment. * Effective written and verbal communication skills. Preferred Qualifications & Competencies * Experience with software development on Linux, Windows, or cross-platform environments. * Exposure to web technologies, cloud platforms, or backend services is a plus. * Interest in or exposure to robotics, autonomous systems, or data analytics. * Experience using scripting languages (e.g., Bash, Python) to automate tasks. * Knowledge of Agile development practices and version control (e.g., Git). * Curiosity and willingness to learn new technologies and frameworks. * Ability to take ownership of tasks and contribute to team goals. Physical Demands * Ability to work in an office and R&D lab environment (Constant) * Required to sit, type, and use office equipment for extended periods (Frequent) ITAR Requirement: This position requires access to information that is subject to compliance with the International Traffic Arms Regulations ("ITAR") and/or the Export Administration Regulations ("EAR"). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A "U.S. person" according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements. Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: ********************************** We also encourage you to review our company website at ******************** to learn more about us. Principals only need apply. NO agencies please. Who We Are Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC. Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed. What We Do Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition. We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status. ITAR

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 Our dedicated team members are building the future of Cisco's AI-driven platforms and data infrastructure, supporting innovation across the globe. You will join a collaborative environment focused on developing advanced data pipelines, secure cloud infrastructure, and automation solutions within business groups such as Security and Infra & Security (Compute, Cloud, Security teams). As part of this innovative team, you will contribute to the growth of cutting-edge technologies in data, intelligent systems, and cybersecurity automation. Explore opportunities at the intersection of security engineering, automation, and AI-helping to transform how Cisco and its customers harness secure, intelligent automation. Your Impact As a passionate software engineer, you will play a critical role in developing scalable, secure data pipelines, designing robust analytics platforms, and building automation infrastructure to support Cisco's security and cloud initiatives. Your expertise in programming, data systems, and cybersecurity allows you to solve complex challenges with innovation and precision. By building and maintaining essential security tools and automation platforms, you enable Cisco's business groups to leverage AI-driven, secure, and automated insights for operational excellence and strategic growth. Your contributions ensure reliable, high-quality, and secure infrastructure that supports Cisco's leadership in intelligent, security-first technology solutions. Minimum Qualifications Currently enrolled in a certification program (e.g., Boot Camp, Apprenticeship, Community College or 4-Year University with 2 years of relevant experience) or currently enrolled in a graduate degree program with 0 years of relevant experience. Experience writing, debugging, and maintaining code in Python or other scripting languages (such as Bash), with a focus on automating tasks, workflows, or processes. Understanding of security protocols and principles (e.g., TLS/SSL, SSH, OAuth, SAML, IPsec) and familiarity with common cybersecurity tools. Exposure to DevOps and DevSecOps practices, including integrating security measures into CI/CD pipelines (e.g., Jenkins, GitHub Actions) and cloud environments. Familiarity with cloud security concepts and experience using automation tools within software development and deployment workflows. Preferred Qualifications Understanding of artificial intelligence and machine learning concepts, algorithms, and basic implementation techniques. Familiarity with securing cloud environments, including knowledge of cloud security best practices and commonly used security tools. Experience or coursework related to securing containerized applications (e.g., Docker, Kubernetes), including vulnerability assessment and mitigation strategies. Hands-on experience writing and executing automated tests for Python applications using the pytest framework. 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.

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD , WD_BLACK™, and Sandisk Professional Brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. Job Description This internship opportunity is in Western Digital's Research organization, which tackles advanced long-horizon problems related to data storage, computation and communication. In addition to supporting magnetic storage and memory roadmap of Western Digital, we are focused on several key areas that are well aligned with our existing experimental and theoretical skills, and existing laboratory facilities Western Digital Research has a number of projects for ambitious graduate students. Our group has projects emphasizing either embedded AI inference or the design and testing of superconducting quantum computing qubits. Depending on the skills of the student, the responsibilities may be divided into one of two tracks. Track 1: As an Intern in Quantum Computing, your project will require several of the following tasks: Assist in the design and testing of superconducting quantum computing qubits Collaborate with team members on quantum computing experiments and simulations Propose and simulate laboratory test structures for evaluating the performance of our qubit designs Analyze and interpret experimental data using various data analysis and visualization tools Participate in the development of quantum information theory concepts and applications Assist in the preparation of research reports and presentations Engage in literature reviews to stay updated on the latest advancements in quantum computing Support the team in maintaining and calibrating quantum computing equipment Collaborate with interdisciplinary teams to integrate quantum computing solutions with other technologies Participate in regular team meetings and contribute ideas for project improvements Assist in documenting research findings and maintaining accurate records of experiments Contribute to the development of quantum error correction techniques Track 2: As an intern in Embedded AI Inference, your project will require several of the following tasks: Assist in the fine-tuning and optimization of AI models for embedded systems Implement and test machine learning algorithms on various hardware platform Create error models to simulate the impact of noise or circuit variability in analog inference accelerators Contribute to the design of efficient neural network architectures for resource-constrained devices Collaborate with the team to improve inference speed and accuracy on embedded devices Participate in data collection, preprocessing, and augmentation for AI model training Assist in the evaluation and benchmarking of AI models on different embedded platforms Contribute to the development of firmware tools and frameworks for embedded AI deployment Support the integration of AI models with embedded software and hardware systems Engage in literature reviews to stay updated on the latest advancements in embedded AI Assist in the preparation of technical documentation and research reports In either track, you will be part of a broader collaborative team, which places strong emphasis on communication skills and team spirit, in addition to strong technical skills. Qualifications Skills of general applicability to either track: Currently pursuing a PhD degree in Physics, Computer Science, Electrical Engineering, or a related field Excellent problem-solving skills and ability to think critically Experience with data analysis and visualization tools Strong attention to detail and ability to work efficiently in a team-focused environment Excellent organizational skills and ability to manage multiple tasks simultaneously Effective communication skills, both written and verbal Ability to work collaboratively in a team environment Proficiency in version control systems (e.g., Git) Familiarity with agile development methodologies Demonstrated ability to learn and adapt to new technologies quickly Technical skills applicable to the Quantum Computing Track: Strong foundation in quantum computing principles and quantum mechanics Proficiency in programming languages such as Python, Q#, or Qiskit Solid understanding of linear algebra and its applications in quantum computing Basic understanding of quantum information theory Academic projects, coursework or other experience in quantum computing, RF circuit design, or other superconducting device physics is preferred Familiarity with quantum error correction techniques Experience with quantum circuit design and optimization Technical skills applicable to the Embedded AI Inference Track: Strong background in machine learning and deep learning algorithms Proficiency in programming languages such as Python, C++, or TensorFlow Experience with embedded systems and microcontrollers Familiarity with AI model optimization techniques for resource-constrained devices Knowledge of computer architecture, digital logic design and and hardware-software co-design Experience with signal processing and digital signal processors (DSPs) Understanding of low-power design principles for embedded systems Familiarity with AI frameworks such as TensorFlow Lite, ONNX Runtime, or LLVM MLIR Some experience with FPGA programming is preferred Additional Information Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here. Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 01/14/2025 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. Based on our experience, we anticipate that the application deadline will be 04/13/2026, although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-MT Compensation & Benefits Details An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. You will be eligible to be considered for bonuses under either Western Digital's Short Term Incentive Plan (“STI Plan”) or the Sales Incentive Plan (“SIP”) which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Notice To Candidates: Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline or email [email protected].

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: Skydio's mission is to make the world safer and more efficient through autonomous drones. Public safety and critical infrastructure customers rely on Drone as First Responder (DFR) to get eyes on scene in seconds and coordinate effective responses. As a full stack intern on the DFR team, you will help build workflows that span across the stack to enable responders to focus on what matters most. The DFR team spans the whole Skydio Cloud stack, from React and Relay for live operations and map‑centric UIs to backend services for incident workflows and integrations with public safety systems like CAD (computer aided dispatch) and evidence management platforms. We build in TypeScript on the frontend and collaborate closely with backend services (commonly Go and Python). As an intern, you'll gain hands-on experience across the stack, collaborating with engineers, designers, and product managers to deliver meaningful features and learn what it takes to ship production software. How you'll make an impact * Design and implement operator-facing features that help first responders coordinate incidents and make faster, safer decisions. * Leverage curiosity, technical skill, and a collaborative mindset to help make the world more productive, creative, and safe with autonomous drones. * Collaborate across functions (product managers, designers, engineers, and support) to deliver high‑quality, impactful features to customers. Project examples * Build operator‑facing features used daily in Drone as First Responder (DFR) to enhance existing capabilities and enable new workflows on Skydio Cloud. * Create real‑time UI for live video and relaying telemetry data from the drone. * Implement map‑centric interactions for placing and managing incident markers (911 calls) with clear affordances and undo/redo. * Ship pre‑merge end‑to‑end tests for critical user journeys to prevent regressions and increase release confidence. What makes you a good fit * Solid software engineering foundation and a commitment to writing clean, well‑architected code. * Junior, senior, or MS-level student with meaningful project or internship experience developing modern web applications that connect to backend APIs and data systems. * Enthusiasm for learning new technologies and collaborating within a fast‑paced team environment. * Experience in modern web development (React, TypeScript, GraphQL, WebGL/Three.js). * Experience building and maintaining scalable APIs, services, and integrations for handling large datasets. * Bonus: familiarity with robotics software development concepts. 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-ZD1 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 *************************

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. We are seeking a software-engineering intern who learns rapidly, has strong programming fundamentals, and can pick up projects spanning surgical robotics, implant communication, manufacturing automation, cloud infrastructure, and BCI software. If you have clear evidence of exceptional ability, strive in a hardcore environment, and crave ownership over technology that is changing lives, join us. Pay Transparency: Based on California law, the following details are for California individuals only: California hourly rate: $35/hr USD What We Offer: Full-time employees are eligible for the following benefits listed below. An opportunity to change the world and work with some of the smartest and most talented experts from different fields Growth potential; we rapidly advance team members who have an outsized impact Excellent medical, dental, and vision insurance through a PPO plan Paid holidays Commuter benefits Meals provided Equity (RSUs) *Temporary Employees & Interns excluded 401(k) plan *Interns initially excluded until they work 1,000 hours Parental leave *Temporary Employees & Interns excluded Flexible time off *Temporary Employees & Interns excluded

Samsung AI Research Center (SAIC) located in Mountain View, California, is currently recruiting outstanding research interns for the Vision Intelligence lab. Our goal is to perform long-term research with potential for direct impact on future Samsung products reaching hundreds of millions of users worldwide. We are focused on pushing the state-of-the-art in multimodal understanding and generation. Position Summary: In this position, the student will collaborate with leading researchers on a project related to the lab's interests in multimodal (image, video, 3D, text) retrieval, question answering, reasoning, generation and editing. Position Responsibilities: Conduct research on multi-modal models in one the above-mentioned area Write maintainable code to implement research ideas Work closely with the team to discuss findings and improve the method Executing experiments, documenting their progress and presenting insights Prepare findings for submission to a major conference or journal Required Skills: Currently pursuing a MS or PhD degree Experience with programming in Python, Pytorch, Transformers etc. Previous publications in top-tier conference and journals in CV/ML/AI such as CVPR, ECCV, ICCV, ICML, NeurIPS, AAAI Experience in one or more of the following areas: Experience in VLMs including model architecture design, pretraining or post training (SFT, RLHF, GRPO) techniques Experience in diffusion models and other generative AI approaches for image/video/3D domains Experience in design and development of efficient multi-modal models using techniques like knowledge distillation, mixture of experts etc. Experience in Vision Language Action Models (VLA) for Agentic systems in robotics, GUI based task automation etc. Strong oral and written communication skills Our total rewards programs are designed to motivate and engage exceptional talent. The hourly pay rate range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the hourly pay rate range, individual rates depend on a number of factors-including the role's function and location as well as the individual's knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well. Hourly Pay Rate Range $48 - $63 USD Additional Information Disclosure of Trade Secrets Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer. Essential Job Functions This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers. Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email *********************. Equal Employment Opportunity At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency

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: As a member of the Wireless Team, you will work on meaningful projects that will add value to Skydio. You will solve complex, interesting problems and learn from a world-class team of engineers and researchers. Potential projects: * Video Streaming Enhancements * Work with the team to enhance adaptive bitrate algorithms for video streaming * Study wireless parameters and use the statistics to guarantee smooth video in all environments * Setup test cases and automation to validate the feature * Automatic frequency selection * Work on algorithms that automatically select a frequency for the drone and docked systems * Characterization of various tools that help in the decision making process * Test and validate the feature across all interference scenarios * Automation * Develop test automated test frameworks for drones in Python * Integrate test cases to CI/CD pipelines * Identify and analyze test failures with the help of data telemetry upload and extraction * Setup SQL queries in the automation to catch SW and performance bugs * Work with Wireless Systems team to setup KPIs and root cause analysis * Ground-to-air Propagation and Interference Modeling for UAVs * Collect empirical data for ground-to-air propagation and interference under various environments. * Develop and validate path loss and interference models for various altitudes and distances * Glass-to-glass Packet Loss Characterization * Instrument the system to capture packet loss across software, hardware, and networking subsystems. * Investigate packet loss behavior through controlled experiments under varied flight and network conditions. * Visualize and interpret results to identify root causes and guide system-level improvements. What makes you a good fit: * Relentless curiosity * Ability to leverage rock solid fundamentals to create exceptional designs for complicated products * Passion for end to end understanding of the wireless link and the channel behavior. * Proficiency in wireless background and theory * Very strong C/C++/Python SW capabilities Other qualifications that are a plus, but not required: * How to use Python for scripting * Familiarity with embedded HW and low level coding * Familiarity with wireless chipsets firmware, Driver and kernel code Compensation Range: The hourly rate 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. * For some positions the pay may be dependent upon the individual's regional location. #LI-ZD1 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 *************************