Technical internship jobs in South San Francisco, CA - 1,093 jobs

A global professional services firm is seeking an M&A Investment Banking Associate in San Francisco to support M&A and corporate finance engagements. The role demands expertise in financial data analysis and modeling, along with a bachelor's degree and relevant experience. You will work collaboratively in a team environment, dealing with high-profile transactions in the Technology sector. EY offers a comprehensive benefits package with a competitive salary range of $150,000 to $185,000 and advocates for a flexible work model. #J-18808-Ljbffr

eDiscovery Technical Advisor Employment Type: Full‑Time, Executive‑Level Department: Legal CGS is seeking a dedicated eDiscovery Technical Advisor to join a fast‑paced and hard‑working team to assist with any legal accounts. As an eDiscovery Technical Advisor, you will play a key role in supporting various aspects of the company's portfolio. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting‑edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and Attributes for Success Contractor shall provide expertise in identifying, preserving, collecting, processing, and producing ESI in support of civil and criminal litigation, select FOIA requests, Congressional requests and other inquiries; Contractor shall provide expertise specifically in criminal discovery support to include identifying, preserving, collecting, processing, and producing ESI; Contractor shall serve as the expert technical user of the available electronic discovery applications, which include Enterprise Vault, Discovery Accelerator, Legal Hold Management Tool (LHMT), and the Veritas eDiscovery Platform; Contractor shall work with the litigation team to develop a discovery plan which documents the electronic discovery search parameters (e.g., date range, key words, and custodians) for a particular case; Contractor shall use electronic discovery software applications to collect data from various FBI storage locations on FBI IT systems (e.g., MS‑Exchange servers, shared drives, desktops, text and instant messages) in accordance with the discovery plan, to support OGC attorneys, paralegal specialists, Information Management Division personnel and case agents who are responsible for responding to pre‑trial discovery motions, requests, subpoenas related to civil and criminal matters, congressional inquiries, FOIA requests and other inquiries; Contractor shall analyze search/collection results for data gaps; Contractor shall administer data inputs into an electronic discovery review platform (e.g. eDP), which includes, but is not limited to: creating cases; adding collected source data; Contractor shall handle user access rights; upload data logs; de‑duplicate collected source data; identify data gaps; merge/verify data; and assure electronic discovery production quality in Bates numbering and load file creation; Contractor shall coordinate electronic discovery collection results with FBI units responsible for processing discovery for review/redaction/release; Contractor shall adhere to policies and technical procedures for use of available electronic discovery software applications and provide agency attorneys, paralegals, and other users of the FBI's electronic discovery review platform with training and other technical assistance; Contractor shall provide information and advise on instructions regarding the FBI's process for identifying, preserving, collecting, analyzing, and organizing ESI, including the use of electronic discovery software programs; Contractor shall provide ad hoc support to end users of the electronic discovery review platform repository; Contractor shall document electronic discovery plans and procedures for each individual case; Contractor shall facilitate requests for legal hold implementation, amendment, and/or lift that are submitted by various requesters in LHMT; Contractor shall provide eDiscovery collections on criminal cases. Qualifications 5 (five) years of eDiscovery/litigation support experience with a focus on client solutions. 3 (three) years of progressively responsible experience on major lit support projects. 2 years in Relativity, beyond document review coding. Excellent communication, presentation, and interpersonal skills with both eDiscovery technical teams and non‑technical business leaders and team players. Ability to work in a fast‑paced environment and agile work environment. Experience and familiarity with eDiscovery Services covering all realms of the EDRM (File to Trial). Must be a U.S. Citizen. The ability to obtain a U.S. Government security clearance (active clearance preferred). BS/BA degree or equivalent work experience (JD highly preferred). Our Commitment Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting‑edge technology with world‑class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government‑contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self‑awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. Benefits Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: ************************************* For more information about CGS please visit: ************************** or contact: Phone: ***************** Email: ******************* $137,200 - $186,200 a year #J-18808-Ljbffr

A leading financial institution seeks a Market Executive in San Francisco to manage relationships within the Software Technology sector and lead banking teams. The candidate will focus on innovative startups and require 15+ years of experience in account management within a Commercial Bank. This role also demands strong communication and problem-solving skills. A competitive salary and benefits are offered for this full-time position, with an emphasis on industry trends and client acquisition. #J-18808-Ljbffr

A global investment firm is seeking an Associate/Senior Associate for its San Francisco office. The ideal candidate will have 1-3 years of experience in private equity or investment banking, with strong analytical abilities and financial modelling skills. Responsibilities include assessing investment opportunities and driving decisions through detailed analysis. The role offers a competitive salary ranging from US$120K to US$175K annually, along with additional incentives. This is an exciting opportunity for someone passionate about technology and consumer markets. #J-18808-Ljbffr

A leading IT services provider is seeking a Tech Bar Analyst in San Francisco. The role involves assessing and resolving employee requests related to hardware and software issues. Candidates should possess a bachelor's degree and have over 5 years of relevant experience. Strong communication skills and the ability to support multiple OS environments, particularly MacOS, are essential. Comprehensive benefits including medical and paid time off are offered alongside a competitive salary between $50,000 and $55,000 annually. #J-18808-Ljbffr

Thank you for your interest in Stanford University. While we have instituted a hiring pause for non‑critical staff positions, we are actively recruiting for most of the positions currently listed on our careers page. We will update the page when the broader hiring pause is lifted. Job Summary DATE POSTED Oct 03, 2025 Schedule Full-time Job Code 4510 Employee Status Regular Grade M Requisition ID 107444 Dean of Research / Office of Technology Licensing: The Office of Technology Licensing (OTL) was established in 1970 to manage the intellectual property assets of Stanford University. OTL evaluates, markets, and licenses technology owned by the University. OTL's mission is to encourage effective technology transfer for the public benefit as well as generating royalty income for Stanford to benefit research and education. OTL is one of the country's most active offices in the field of technology transfer from the university to industry. Our staff, most of whom are professionals engaged directly in licensing, manages over 3,000 active dockets. Our VPDoR Diversity Journey We create a hub of innovation through the power of diversity of disciplines and people. We provide equitable access and opportunity to all members of the community in order to do their best work, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. We listen to and value all colleagues who bring diverse perspectives to the advancement and development of a respectful community. We promote a culture of belonging, equity, and safety. We embed these values in excellence of education, research, and operation. POSITION SUMMARY The Senior Associate Director for Industry and Technology Transactions is a leadership position within Stanford's Office of Technology Licensing, responsible for driving complex agreements that advance Stanford's mission of research excellence, innovation, and strategic collaboration. The position leads a team of contracting professionals and serves as the primary point of contact for strategic negotiations with industry leaders, strategic partners, and non‑profit organizations. This role oversees the full lifecycle of complex transactions-from drafting through negotiation and execution-to ensure alignment with Stanford's policies, compliance requirements, and strategic objectives. The portfolio includes technology licensing agreements, research collaborations, strategic industry alliances, and mission‑aligned transactions with non‑profit organizations. The Senior Associate Director establishes clear risk frameworks and deal strategies that protect the University's interests while enabling sustainable, mutually beneficial partnerships. A key expectation is the ability to act as a strategic advisor who can translate complex legal concepts into practical, actionable business recommendations. The role partners closely with faculty, researchers, and internal contracting and licensing staff, as well as other Stanford offices to structure agreements that foster innovation, safeguard intellectual property and academic values, and support successful long‑term relationships with external partners. This position requires excellent judgment, strategic thinking, and the ability to balance risk with opportunity. The ideal candidate will be a collaborative problem‑solver who combines strong legal acumen with business insight to drive agreements that create value for Stanford and its partners. A JD or equivalent advanced degree is preferred, with 9+ years of experience in technology transfer, licensing, or complex commercial transactions and a track record of leading high‑value negotiations in domains such as biotech, engineering, or software. CORE DUTIES Direct staff and provide leadership to Industrial Contracts officers. Promote the goals and vision of ICO. Responsible for hiring, training and retaining staff, career coaching, professional development and accountable for the performance of direct reports. Develop strategic plans for ICO. Identify and resolve strategic issues of substantial significance that affect the overall functioning beyond ICO, consult and advise senior University leadership. Advise senior management on programmatic and policy development. Evaluate the effectiveness of ICO's organizational structure and programs to promote success, development of employees and appropriate use of staff resources. Negotiate, sign and administer major research agreements with companies, such as master sponsored research agreements, unfunded collaboration agreements, material transfer agreements, equipment loan agreements, and other related agreements. Supervise ICO staff on other agreements. Provide guidance to faculty, senior management, research staff, and other Stanford offices on Stanford policies on intellectual property, contracts, and other related issues. Oversee the resolution of issues related to intellectual property, contracts, research administration, and other related issues. Coordinate the development and maintenance of internal group documents, databases and procedures to ensure work product and workflow are efficient and up‑to‑date. Develop and deliver training on intellectual property, contracts, and other issues to co‑workers, faculty, staff, and other Stanford offices. Network with colleagues at other institutions, at companies, and licensing associations to develop relationships and gain a broader understanding of industry‑academic relationships outside of Stanford. Make presentations at industry and academic research and licensing conferences. MINIMUM REQUIREMENTS Education & Experience Bachelor's degree and nine years of relevant experience or a combination of education and relevant experience. Knowledge, Skills and Abilities Demonstrated leadership, supervisory, planning and change management skills. Excellent oral and written communication skills to collaborate effectively with a wide range of faculty and staff and to work with industry legal and business personnel. Ability to influence people, solve problems, troubleshoot, think creatively and resolve conflicts. Advanced analytical and problem solving skills. Strong knowledge of industry practices and regulatory requirements. Expertise in intellectual property, licensing, contract and regulatory issues pertaining to research agreements with industry. Ability to work efficiently within a complex university administration, often under pressure and short deadlines. Understanding of the structure, purpose, functions and objectives of research at Stanford. Exceptional analytical and organizational skills and attention to detail required. Excellent judgment and common sense required. PHYSICAL REQUIREMENTS Frequently perform desk based computer tasks, seated work and use light/ fine grasping. Occasionally stand, walk, use a telephone, lift, carry, push, and pull objects that weigh up to 10 pounds. Rarely writes by hand. * - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. WORK STANDARDS Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* For On‑site or Hybrid Positions The expected pay range for this position is $213,783‑$264,938 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first‑ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time‑off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world‑class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All 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 any other characteristic protected by law. Dean of Research, Redwood City, California, United States #J-18808-Ljbffr

We want to hear from you if you are passionate about helping customers and providing exceptional technical support! As a Technical Product Support Specialist on our Customer Success Team, your primary goal will be to ensure that every user has a positive experience with our products. This role centers around offering technical product support, troubleshooting issues, and assisting customers in maximizing the benefits of our products. In this position, you will communicate and document customer issues, troubleshoot and test products, and provide support through email, phone, and video calls. This exciting and dynamic role is crucial to our company's success. We take pride in making every customer feel valued, supported, and satisfied! Join us! **This role is full-time, on-site in Petaluma, CA** Responsibilities: Achieve expert working knowledge of our products. You will be the first stop point for troubleshooting and must know how to use our products (don't worry - we will train you 😀) Troubleshoot reported problems and get a full understanding of what the customer is asking for and why. Identify and document the reason the customer contacted us and advise on any forming trends that may impact the larger customer base. Respond to the user as quickly and thoroughly as possible and communicate to them that you are working on their behalf to address the issue(s). Identify process improvements and other product features to reduce the number of customer inquiries. Increase overall customer satisfaction by meeting and exceeding customer support standards and service levels. Just be awesome and flexible. Requirements: Minimum of 2 years working in a Product Support or Customer Service role. Not afraid of taking an unhappy customer and turning them into a happy one. Strong analytical and critical thinking skills. Able to work independently or in a team. Strong organizational skills. Ability to communicate professionally and effectively in person, on the phone, electronically, or by other means to individuals and groups. Ability to learn new products, concepts, and eagerness to explore new technology. Strong organizational and time management skills, with the ability to prioritize tasks effectively. Excellent communication skills, both written and verbal. Proficiency in Microsoft Office Suite and other relevant software applications. Ability to maintain confidentiality and handle sensitive information with discretion. Attention to detail and accuracy in all work tasks. Why Should You Apply? At Digilock, you will have the chance to work with great people on exciting projects. Part of being in a growing company is that change is constant. We embrace change and aim to innovate with passion. This is what drives us and our company forward. We provide a competitive salary and benefits package. Highlights of our current benefits package include Medical, Dental/Vision, Long-Term Disability, Life Insurance, 401K Match up to 4%, AFLAC, Wellness Program Reimbursement, PTO, and a generous holiday schedule with pay. We provide food and snacks throughout the week in our fully stocked kitchens/breakrooms and have company outings.

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].

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: Embedded Software System Engineering - Test & Integration Power Electronics Various Controls teams Various Automation teams and similar Qualifications Must be currently pursuing a bachelors, masters, or PhD degree. Actively pursuing a degree or one closely related in Computer Science, Computer Engineering, Electrical Engineering, or similar. Experience with languages such as C, C++, Python. Embedded software development and optimization. Experience with software development and the ability to read/debug code. Experience with troubleshooting and root cause analysis of complex systems. Software development on microcontrollers. Experience utilizing scripting languages. Applied knowledge and understanding of engineering first principles. 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. Actively pursuing a degree or one closely related in Computer Science, Computer Engineering, Electrical Engineering, or similar. Experience with languages such as C, C++, Python. Embedded software development and optimization. Experience with software development and the ability to read/debug code. Experience with troubleshooting and root cause analysis of complex systems. Software development on microcontrollers. Experience utilizing scripting languages. Applied knowledge and understanding of engineering first principles. Applying to this opening will place you into consideration for Rivian's 2026 summer internship program. Teams your application can be considered for include: Embedded Software System Engineering - Test & Integration Power Electronics Various Controls teams Various Automation teams and similar

Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building the first instant logistics system that serves all humans equally. Leveraging expertise in robotics and autonomy, Zipline designs, builds, and operates a fleet of cutting edge, autonomous delivery drones. We serve tens of millions of people around the world. Joining Zipline's Emerging Talent program as an intern is an opportunity to contribute to our promise of building a system that provides equitable access to critical healthcare supplies for millions of people. We believe that internships are more than just opportunities to learn by watching or doing low level tasks. We expect our interns to take on meaningful work that actively contributes to moving Zipline's mission forward, while learning real-world skills that will serve them in their careers for the long term. Join us, and build the future of logistics with the best humans around! About the System Validation Team Zipline's Software Systems Validation team ensures that all the software powering our autonomous delivery aircraft works reliably, safely, and as intended in the real world. We operate at the system level-evaluating how components like navigation, perception, controls, planning, and actuation work together as a cohesive product. The team partners closely with Embedded Software, Autonomy, Systems Engineering, Test Infrastructure, and Data Platform groups to build validation tools, analyze performance, and identify risks early. Our work spans simulation, hardware testing, data-driven analysis, and system-level evaluations that support deployments across the globe. As an intern, you'll collaborate with engineers across these domains, gaining hands-on exposure to how industry-leading autonomous systems are designed, tested, and validated at scale. The Role As a Software Systems Validation Intern, you will help evaluate the software that enables Zipline's autonomous drone delivery system. You'll contribute to building tests, tools, metrics, and visualizations that help the team understand system performance, identify issues, and ensure reliability before flight. This role is designed for someone excited to learn how complex robotic systems are validated, who enjoys problem-solving, and who wants to build real-world experience working with autonomy software, data analysis, and systems engineering. What You'll Do Support the design and execution of test scenarios across the autonomous software stack to validate system-level requirements Help develop and improve validation tools, workflows, and automation Build basic visualizations or metrics that highlight performance trends, gaps, or regressions Work with test infrastructure and data platform teams to run validation pipelines Analyze results and contribute to identifying root causes of failures or unexpected behavior Document findings and communicate insights to engineering stakeholders What You'll Bring Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Aerospace Engineering, Robotics, or a related field Coursework or project experience in robotics, controls, estimation, navigation, perception, or software development Familiarity with testing, debugging, or validation methodologies (academic or project-based experience counts!) Experience with data analysis using Python, SQL, or similar Basic proficiency with a compiled language such as C/C++ or Rust Curiosity, attention to detail, and a desire to learn how autonomous systems are validated in real-world environments Bonus Skills (Nice to Have) Exposure to hardware, actuators, sensors, and interfacing with software Experience with robotics competitions, club projects, or research labs Interest in requirements development, reliability engineering, or statistical validation What Else You Should Know Our internships are full-time positions, in-person at our South San Francisco or Dallas office. We will host our Summer 2026 interns from May or June to August. Candidates are limited to three (3) applications within a 30-day period. The starting cash range for this internship is $40 - 44/ hour. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, and working location. The total compensation package for each role may also include: a housing stipend; overtime pay; relocation support; paid sick time; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.

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.

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

About the Role We are seeking a Software Intern to support the development of tools, frameworks, and applications that enable neural network models to run efficiently on TetraMem s novel analog compute-in-memory chips. This is an exciting opportunity to work at the intersection of software, hardware, and artificial intelligence. Responsibilities Develop and optimize Python or C++ code for neural network and machine learning model compression, conversion, deployment, and runtime environments Analyze and adapt ML models for to improve their compatibility and efficiency on compute-in-memory hardware and software Support software design, development, and performance profiling Collaborate with AI researchers and hardware engineers to validate system-level functionality Participate in code reviews, testing, and documentation Qualifications Currently pursuing a degree in Computer Science, Electrical Engineering, or related field Solid programming experience in Python, C++, or similar Understanding of data structures, algorithms, and software architecture Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus Strong problem-solving skills and eagerness to learn Salary Range: $35-45 USD/hr

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. At Tenstorrent, you will have the chance to accelerate your career by working on challenging engineering problems with a dedicated mentor and the opportunity to move between the digital design, verification, firmware, software and system engineering teams. This role is on-site based in Austin, TX; Santa Clara, CA; or Toronto, ON Responsibilities: Develop machine learning graph compiler Participate in the co-design of Tenstorrent's hardware and software stack Benchmark, analyze, and optimize performance of key machine learning applications across Tenstorrent's hardware and software stack Develop performance analysis and estimation infrastructure that feeds into Tenstorrent compiler Develop high-performance run-time engine Integrate the Tenstorrent software into leading machine learning frameworks Work closely with machine learning engineers to discover the hardware and software requirements of current and future machine learning applications Develop novel ML models and primitives that take advantage of Tenstorrent's breakthrough architecture to deliver orders of magnitude performance & efficiency improvements Experience & Qualifications: Final year BS/MS or PhD candidate in EE/ECE/CE/CS with a strong GPA Experience with algorithms, data structures, and software development in C/C++. Python expertise is welcome as well Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus Strong problem solving and analytical skills Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: Design and implement compiler passes for custom silicon Design and implement efficient firmware libraries for memory management Measure and analyze performance on either simulator or silicon Integrate the solution into production grade memory allocator for custom silicon You have: C/C++ programming skills Knowledge of compiler principles Knowledge of modern computer architecture Performance analysis and optimization skills We prefer: Experience with compilers for neural networks Knowledge of deep neural network Experience with RISC-V vector extension Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements.Hourly Bachelors Pay$60-$60 USDThe expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements.Hourly Masters Pay$70-$70 USDThe expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements.Hourly PhD Pay$85-$85 USD

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

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. **Meet the Team** Join Cisco's innovative engineering community, where you'll have the opportunity to collaborate with teams across Cisco IT, CPX (Customer & Partner Experience), Supply Chain, and Workplace Technology. You'll work alongside hardworking engineers, designers, and product managers who bring ideas to life and transform how the world connects, communicates, and collaborates. Our teams value creativity, continuous learning, and a culture of inclusion as we build the next generation of industry-leading products and platforms! **Your Impact** As a Software Engineer at Cisco, you will design and build software solutions that power Cisco's products and platforms. You will work end-to-end on everything from APIs and backend services to user interfaces and distributed systems. You'll solve real-world problems, ship impactful features, and help shape the future of connectivity and technology. **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. + Proficiencyin at least one backend language (Python, C++, or Java) and familiarity with JavaScript/TypeScript for frontend development + Experience with API development (REST,GraphQL, org RPC) + Understanding of data structures, object-oriented programming, and SQL/NoSQL databases + Familiarity with cloud platforms (AWS, Azure, GCP, or Cisco Cloud) **Preferred Qualifications** + Experience with Docker or Kubernetes (containerization/orchestration) + Familiarity with Infrastructure as Code tools (Terraform, Ansible, or CloudFormation) + Exposure to CI/CD tools (GitHub Actions, Jenkins,CircleCI) + Experience with monitoring platforms (Grafana, Prometheus, Splunk) + Knowledge of UI frameworks (React, Angular, Vue) for full-stack pathways **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

Requirements High performer with experience in intellectual property matters, including patent and/or trade secret litigation. Undergraduate degree in computer science, electrical engineering, mathematics or physics (this is preferred). Superior academic credentials in law and undergraduate coursework. Strong work ethic, excellent leadership skills, and action-oriented interest in taking on increased levels of responsibility for client matters. Outstanding research and analytical skills, excellent oral and written communication skills, and have sound legal and business knowledge in working on a broad spectrum of cases and counseling clients with respect to ongoing matters. Admitted to the state bar in which you are practicing. Summary Vanguard Intellectual Partners (Vanguard-IP) specializes in the placement of IP/Patent professionals nationwide. Our sole focus on intellectual property enables us to more deeply understand our clients' technical needs, and our candidates' individual talents and career interests. Our broad network of long-term client relationships gives us a competitive edge. Our recruiters all have 10+ years of IP recruiting experience, and an exceptional record of success. We have superior knowledge of the IP job market, and offer trusted career advice for our candidates. We also have the resources and high-level contacts to get your resume noticed by the people who matter. We look forward to speaking with you, and learning more about what you are seeking in your next opportunity. Confidentiality At Vanguard-IP, we respect the confidentiality of every candidate who contacts us. Furthermore, we will always obtain expressed authorization before submitting your resume to any of our clients. Opportunity Note Should you have an interest in exploring opportunities in another location, we have hundreds of openings in other markets. Please apply now and our team would be happy to review your information for this or other openings in your location of interest. #J-18808-Ljbffr