Art model jobs in San Jose, CaliforniaCreate job alerts

Job Description Are you looking for a meaningful role in behavioral health and have the desire to work with an organization that puts people first? If you have a passion for helping others along their recovery journey, then we invite you to join our Crestwood family! For more than 50+ years Crestwood has been committed to creating innovative recovery programs and developing compassionate communities that support each client in their journey. Our model of care focuses on a personal and self-directed process that empowers the people we serve and helps them to develop the skills to thrive! Title: Director of Recreation | Recreation Therapist Job Duties: The role of the Director of Recreation is to create and lead the recreational program with recreational activities, hobby & interest building, physical activities, and other events & holidays throughout the year. In our holistic approach, recreation is just one facet of the wellness of our clients, along with behavioral skill building, medication support, dietary teaching, and pre-vocational training. Our overall goal is to support our clients to create lives worth living and be successful as independents in their community. Schedule: Full Time Qualifications: • Must have a bachelor's degree as an occupational therapist, music therapist, dance therapist, art therapist, or recreation therapist., • Must be registered or eligible for registration as an occupational therapist, music therapist, dance therapist, art therapist, or recreation therapist., • Must have a valid California driver's license., • A current CPR certification is preferred., • Medical, Dental, and Vision Coverage, • Life Insurance, • Vacation, • Paid Sick Leave, • Sick Leave Buy Back, • 401(k) Retirement, • Scholarship Program, • Qualifying Supervision for BBS Associates, • Competitive Pay, • Paid Holidays, • Service Awards It's About Growth! Our employees are our most valuable assets. Did you know that at Crestwood you can gain experience at one of California's leading behavioral health service providers? We deliver industry leading education and training that allows our team members to succeed and continue to grow their careers with Crestwood. Check out our Career Page to learn more about being a part the Crestwood Family and the benefits available. Crestwood is proud to be an Equal Opportunity Employer that is committed to inclusion, equity and diversity. We embrace all differences and are fully committed to fostering a sense of belonging for everyone. We also take affirmative action to offer employment and advancement opportunities to all qualified applicants without regard to race, color, religion, age, sex, national origin, disability status, veteran status, sexual orientation, pregnancy, marital status, gender identity or expression, or any other characteristic protected by federal, state, or local laws. If you need assistance and/or a reasonable accommodation due to ability during the application or recruiting process, please talk with your hiring contact/recruiter or send a request to . Employment is contingent upon successful completion of a background investigation including criminal history and identity check. Pursuant to the California Consumer Privacy Act (CCPA), please review this link to provide information on how we collect and use your data. Crestwood is required to participate in the E-Verify program. To learn more, please see: E-Verify Participation, Right to Work notices, or visit .

Job Title: Research Scientist, Robotics & AI Position Type: Full-Time Location: Santa Clara, CA Salary Range: $180,000 - $250,000 USD Job ID: #158284 About the Role We are looking for a creative, skilled, and motivated research scientists to join our founding team in advancing robot manipulation capabilities. We are looking for people with proven expertise in machine learning and/or robotics. You will collaborate with a team of talented researchers and engineers, and drive ongoing innovation and technological advancements within the company. Responsibilities • Develop new algorithms and methods for training AI models for enhancing the robot dexterity., • Conduct cutting edge research across multiple disciplines (Robotics, RL/IL, control, perception, LLM, VLM, etc.)., • Work with large-scale ML systems and large-scale model training/fine-tuning., • Design and implement state-of-the-art learning-based manipulation/navigation/control algorithms on real robots., • Work with other teams to develop a diverse set of robust manipulation skills for robots. Requirements • Ph.D. degree in Robotics, Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, etc., or equivalent research experience., • Passionate about working with robots and building robot products., • Excellent analytical, problem-solving, and communication skills., • At least 3 years of experience conducting independent research., • Deep understanding of the SOTA robot learning techniques (reinforcement learning, imitation learning, etc.), • A track record of research excellence with your work published in top conferences and journals such as Science Robotics, IJRR, RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, CVPR, etc., • Proficient with Python., • Proficient with deep learning libraries such as PyTorch/TensorFlow/Jax., • Experience with real robot experiments., • Experienced with robot simulators such as Isaac Gym/ Isaac Sim/ SAPIEN/ MuJoCo/Drake, etc., • Chinese Proficient is required as successful candidates will need to communicate with the stakeholders in Asia. About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at . Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.

Job DescriptionSalary: $40,000 - $65,000 / year, depending on experience About RISE Education System RISE Academy is a subsidiary of RISE Education System, a 501(c)(3) non-profit educational organization accredited by the Western Association of Schools and Colleges (WASC) and Cognia. Our mission is to promote the holistic development of the child through an authentic and experiential student learning experiencegrounded in faith, family, and community. RISE Academy provides excellence in academic preparation within a faith-based environment, guiding students to become role models who exhibit God-consciousness, professional excellence, and civic leadership. Position Overview RISE Academy is hiring a full-time Homeroom Elementary Teacher (Kindergarten6th grade) for the 20262027 school year at our San Jose Campus. Were looking for a mission-aligned educator who builds a respectful, joyful, and structured classroom culture and delivers strong instruction through inquiry-based and experiential learning aligned with our STREAM model (Science, Technology, Religion, Engineering, Art, and Math). What Youll Do • Create and deliver engaging daily instruction aligned to the schools academic program and STREAM approach, • Build a safe, culturally responsive, nurturing classroom where students love learning, • Differentiate instruction to meet diverse student needs and learning styles, • Use formative and summative assessments to track progress, analyze data, and adjust instruction/interventions, • Support student growth across intellectual, emotional, physical, spiritual, and social domains, • Communicate regularly and effectively with families and maintain strong homeschool partnership, • Collaborate with colleagues and participate in professional learning and professional development, • Support student case management and maintain required documentation (including IEP-related supports when applicable), • Contribute to school culture by supporting events, community outreach, and other duties as assigned Qualifications (Required) • Bachelors degree from an accredited university, • Relevant experience working with children in an elementary/lower school setting or a comparable youth instructional setting, • Alignment with RISE Academys mission and comfort working in a faith-based environment, • Strong understanding of curriculum, instruction, and best practices in elementary education, • Commitment to inquiry-based, project-based, and experiential learning, • Ability to differentiate instruction and support a wide range of learners, • Experience using student data and multiple assessment methods to guide instruction and interventions, • Effective classroom management and ability to establish consistent routines and expectations, • Strong interpersonal, collaboration, and communication skills (students, families, and staff), • Willingness to reflect on practice, respond to feedback, and continuously improve, • Comfortable using technology and classroom tools (email, internet, documents/spreadsheets, printers/projectors, etc.) Preferred Qualifications • Masters degree in Education, Child Development, Curriculum & Instruction, or related field, • 2+ years of teaching experience in a formal school setting, • Valid teaching credential (or progress toward credentialing), • Experience designing STREAM-integrated learning experiences Physical Requirements / Work Environment • Ability to occasionally lift/carry/push/pull up to 20 pounds (classroom materials, supplies, furniture, electronics), • Ability to stand and move around the classroom/campus for extended periods, • Frequent computer and keyboard use; operation of classroom/office equipment (printers, copiers, projectors, etc.), • Ability to maintain a safe, organized, hazard-free classroom and workstation, • Occasional evening/weekend work for school events; may include outdoor duties in varying weather conditions, • Ability to communicate clearly and understand information communicated by others Compensation & Benefits Compensation is based on teaching credentials (non-credentialed vs. credentialed), years of experience, academic degrees, and certifications. Children of staff members may be eligible for tuition discounts.

The Permanente Medical Group, (TPMG) is one of the largest medical groups in the nation with over 10,000 physicians, 21 medical centers, numerous clinics throughout Northern and Central California and an 80-year tradition of providing quality medical care. Northern California's sophisticated yet laid-back ambiance offers urban and suburban lifestyles, enhanced by the presence of world-class art museums, renowned eateries, home of world championship sports teams, and a large spectrum of entertainment and recreational options. We offer the exciting opportunity to practice in a big city or enjoy small-town charm while still being a part of the largest medical group in the country. Our Psychiatry departments work as a team and are integrated seamlessly into our hospital operations. It is a rewarding and rich practice that offers support for all aspects of a physician’s career. TPMG is recruiting for Virtual Care Physician Opportunities - Adult Psychiatry (Outpatient) in the following locations (Positions can be fully virtual/remote): Starting salary: $292,080 to $296,040 plus additional potential incentives. Reduced schedules with pro-rated compensation may be available. Some incentive opportunities are estimates based on potential premium pay. Recruiter will provide additional salary details. REQUIREMENTS: • Board Certification or Eligibility, • Must be eligible to obtain a CA medical license or be currently licensed to practice within CA, • Physician must reside within the State of California A FEW REASONS TO CONSIDER A PRACTICE WITH TPMG: • Work-life balance focused practice, including flexible schedules and unmatched practice support., • We can focus on providing excellent patient care without managing overhead and billing. No RVUs!, • We demonstrate our commitment to a culture of equity, inclusion, and diversity by hiring physicians that reflect and celebrate the diversity of people and cultures. We practice in an environment with patients at the center and deliver culturally responsive and compassionate care to our member populations., • Multi-specialty collaboration with a mission-driven integrated health care delivery model., • An outstanding electronic medical record system that allows flexibility in patient management., • We have a very rich and comprehensive Physician Health & Wellness Program., • We are Physician-led and develop our own leaders., • Professional development opportunities in teaching, research, mentorship, physician leadership, and community service. EXTRAORDINARY BENEFITS: (24 - 40 Hours/Week Required) • Competitive compensation and benefits, • Comprehensive medical and dental, • Home Loan Program up to $250,000 (approval required), • Relocation Assistance up to $10,000 (approval required), • PSLF Eligible Employer, • Malpractice and tail insurance coverage, • Paid holidays, sick leave, and education leave, • Three retirement plans, including a pension and 401k, • Professional Liability coverage For information about career opportunities, wage ranges and upcoming events, visit TPMG Physician Careers: You may also reach out to our Physician Recruiter, Harold Torbert at / call (510) 549-6018 with any questions. We are an EOE/AA/M/F/D/V Employer | VEVRAA Federal Contractor

Job Description We are WPP Production - the unified global production company that brings together all of WPP's content producers, studios and craft experts into one connected organisation. We combine world-class human craft with next generation technology to originate, design, and deliver multi-channel content systems at scale. Built for borderless collaboration and powered by deep craft expertise, we are the production engine designed for today's always on, AI driven marketing world. WPP Production is part of WPP. WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients, and communities. For more information, visit wpp.com A Hybrid working model We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach, with teams in the office three days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. What does a Production Manager, Graphic Production do at WPP Production? Role summary: We are looking for a Graphic Production Manager who is dedicated to the flawless execution and implementation of visual assets applied to the client's web properties and direct marketing materials. Our mission is to uphold the creative vision and technical requirements of the Marcom Interactive Design and Development teams with the same high standards the clients brand is known for. The Graphic Production Manager is responsible for the day-to-day operations of their Graphic Production studio, in collaboration with the Head of Graphic Production Services. This includes but is not limited to managing the Graphic Production artists and Team Leads as well as developing and improving process, workflow automation, training/education, goal-setting and career development. Key Responsibilities • Manages a team of 15-20 people, • Manages client partner relationships - key project escalation for their studio, • Responsible for planning team assignments, and communicating project goals, schedules, deadlines, and other information to the project team members, and internal/external stakeholders, • Establishes project schedules, resources and project staffing. Maintains these and other supporting documents to track and report on project's status and overall progress/completion, • Proactively identifies project risks and develops mitigation plans to address them, • Liaison between departments to communicate GP standards and process, • Collaborates with Head of Graphic Production Services to establish studio strategy, goals and expectations, define resource needs, determine process improvements, and implement change, • Manages team process, workflows, and optimization to ensure deliverables meet WPP's and the client's quality standards, • Guides individual Team Leads and Graphic Production Artists' overall professional development, providing performance feedback, mentoring, assist with resolving performance issues and maintaining positive morale amongst the team, • Evaluate and learn individual artist strengths; help develop cross utilization of resources to promote an effective workflow, • Oversees documentation and training, • Responsible for mentoring and career development of all staff within their GP vertical., • Lead by example and participate in culture development and management, • Work with automation engineer to define and build tools for workflow automations and process improvements for all outputs, • 8+ years experience in a hands-on, high-volume interactive web production environment (or equivalent), of which 3-5 years was in a senior role that included managing teams of various skill-sets and outputs, • Proven success in overseeing multiple projects and deliverables, with tight deadlines and wider cross-functional dependancies, • Ability to problem-solve, track priorities and multi-task efficiently within a fast-paced creative environment which requires constant adaptability and flexibility, • Deep understanding of web-production workflow, best practices as it relates to design, dev, QA, GEO localization and transcreation, • Proficient in all up-to-date graphics applications (Adobe Suite, etc.), design, typography and art-working sensibilities, • Solid understanding of HTML, Javascript, CSS, Sketch, and GiT, • Keeps up-to-date with the latest market and software trends as it relates to graphic production, • Excellent project management, time management, written and verbal communication skills with experience employing Agile and Waterfall project management techniques, • Self-directed, detail oriented, problem solver, with a sense of urgency and ability to work under pressure., • Able to balance assertiveness and sensitivity, diplomacy and patience, while promoting communication and teamwork, • Comfortable working behind the scenes, and independently without supervision, • Impeccable eye for detail, strong production values, creative ingenuity with the ability to meet tight deadlines Why work here: At WPP Production, you'll help shape the future of content production at a truly global scale. We bring together world-class talent, cutting-edge studios, and advanced technology to solve some of the most complex creative and production challenges in the industry. You'll work in a collaborative, borderless environment where craft excellence is valued, innovation is encouraged, and AI and next-generation tools are used to amplify not replace human creativity. With access to diverse projects, global career opportunities, and the backing of WPP's unmatched network, this is a place where you can grow your skills, make real impact, and create work that performs for every audience, across every channel, at every moment. Inclusion and Impact WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Data We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment. When you click the "Submit Application" button at the bottom of this page, this will send all the information you have added to WPP Production. Before you do this, we think it's a good idea to read through our Privacy statement. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it. Please contact if you need the job advert or form in another format.

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries. Our medical devices help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine fingersticks. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to: * Career development with an international company where you can grow the career you dream of. * Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year * An excellent retirement savings plan with high employer contribution * Tuition reimbursement, the ___ student debt program and ___ education benefit - an affordable and convenient path to getting a bachelor’s degree. * A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. * A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. THE OPPORTUNITY This Senior Principal AI/ML Scientist position can work out of our Santa Clara, CA location. Senior Principal AI/ML Scientist will lead the technical execution of Abbott’s Medical Devices Digital (MDD) AI initiatives, bridging advanced algorithm research with scalable engineering solutions. You will be vital in building and commercializing enterprise grade Product AI solutions and services from concept through launch in both consumer tech and med tech. What You’ll Work On * Lead end-to-end AI product development and delivery, including model development, feature engineering, training, validation, deployment, and monitoring. * Develop state of the art ML algorithms using medical images, sensors signals and EHR data for Abbott’s medical device customers along the entire care pathway. * Partner closely with scientists and ML researchers, translating innovative concepts into reliable, production-ready software and act as the team’s bridge between science and engineering. * Ensure strict compliance with regulatory and privacy standards such as HIPAA, GDPR, and Software as a Medical Device (SaMD) guidelines. * Evaluate and pilot emerging technologies, including large language models, multimodal machine learning techniques, and advanced hardware accelerators. * Mentor and guide ML engineers and data scientists, establish coding standards, and conduct detailed design and architectural reviews. * Contribute to peer-reviewed publications and generate Intellectual Property materials to drive scientific understanding and innovation in the field. Qualifications * Bachelors Degree in Computer Science, Engineering Mathematics, or related field. * Minimum 10+ years of experience, Master’s Degree with 8+ years of related experience, or Ph.D. with 5+ years of related experience. * Experience in building and deploying Machine Learning solutions using various ML algorithms and hands-on experience with Python programming. * Expertise in ML product development on medical images, sensors and EHR data. * Excellent understanding of Machine Learning techniques and proficiency in foundational models including fine tuning, algorithm selection and model development lifecycles. * Experience with GenAI and Agentic AI development including grounding, RAG, MCP and prompt engineering. * Experience in data security best practices, data anonymization, synthetic data generation, and federated learning. * Experience with cloud databases and ML development in the cloud. Publications, patents, or notable contributions to open-source projects. * Certifications and specializations in AI/ML, LLMs and Cloud platforms. * Excellent oral, written and presentation communication skills. * Team leadership experience and demonstrated mentorship capabilities. * Experience with senior executive/leadership engagement. Preferred * PhD. in Computer Science, Data Science, Data Engineering, or related field * Experience working in an FDA-regulated business (e.g. validated software related to medical, pharmaceutical, or life sciences products) is preferred. * Solid understanding of the design thinking process, as well as a passion and know-how for influencing design strategy. * Experience with FDA 510(k) submissions and clinical-grade ML product development. * Background in signal processing, computer vision, or multimodal learning. #software Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: ___ Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at ___, on Facebook at ___ and on Twitter @AbbottNews and @AbbottGlobal The base pay for this position is $148,700.00 – $297,300.00. In specific locations, the pay range may vary from the range posted.

Senior Perception Engineer At Raise Robotics, we’re building robots that work where people shouldn’t. Our team has successfully deployed machines into real construction sites and factories . We’re now building our next generation platform to help build some of the largest structures in the world - think buildings, ships, energy generation plants, and more. We’re looking for team members who enjoy touch technical challenges and want to make an impact. You’ll have the opportunity to travel to customer sites and see our machines working out in the real world. For this role, we are seeking a Senior Perception Engineer who will architect and implement a perception system for mobile manipulation in construction environments. What we’re looking for: • At least 3 years of experience developing learning-based vision systems in academia or industry., • Familiarity working with object detection and 6D pose estimation from images and point clouds., • Understanding of classical image models, such as pinhole cameras and distortion compensation., • Excellent mathematical skills, especially with probability and linear algebra., • Expertise with training and architecting CNNs for perception tasks., • Prior experience working with TOF and stereo cameras in an outdoor environment, • (Plus) Experience with rendering and synthetic data generation., • (Plus) Experience with developing perception systems for robot manipulation. What you’ll do: • Develop and continuously improve a scalable and robust perception system for mobile manipulation., • Implement state of the art techniques for generative models for synthetic data generation., • Implement algorithms and train models for object detection and pose estimation in point clouds and images., • Set up metrics for tracking model performance and create plans for improvement., • Collaborate with, learn from, and support a diverse and cross-functional team. Raise Robotics is an Equal Opportunity Employer, committed to creating a diverse and inclusive company culture, and does not discriminate against candidates and employees because of their disability, sex, race, gender identity, sexual orientation, religion, national origin, age, veteran status, or any other protected status under the law.

TPMG is seeking a BE/BC Radiologist (Per Diem) to join our team in Santa Clara, CA. Northern California's sophisticated yet laid-back ambiance offers urban and suburban lifestyles, enhanced by the presence of world-class art museums, renowned eateries, home of world championship sports teams, and a large spectrum of entertainment and recreational options. The Permanente Medical Group, Inc. is one of the largest medical groups in the nation with over 10,000 physicians, 21 medical centers, numerous clinics throughout Northern and Central California and an 80-year tradition of providing quality medical care. Requirements: • Board Certification or Eligibility, • Must be eligible to obtain a CA medical license or be currently licensed to practice within CA A FEW REASONS TO CONSIDER A PRACTICE WITH TPMG: • Work-life balance focused practice, including flexible schedules and unmatched practice support., • We can focus on providing excellent patient care without managing overhead and billing. No RVUs!, • We are committed to cultivating and preserving an inclusive environment for all physicians and employees. We are an equal opportunity employer and VEVRAA federal contractor., • Multi-specialty collaboration with a mission-driven integrated health care delivery model., • An outstanding electronic medical record system that allows flexibility in patient management., • We have a very rich and comprehensive Physician Health & Wellness Program., • We are Physician-led and develop our own leaders., • Professional development opportunities in teaching, research, mentorship, physician leadership, and community service. To be considered for our Radiology (Per Diem) opportunity, kindly respond with your CV or contact our Physician Recruiter, Bo Chau at ___ / call (510) 418-9952 with any questions. For more information about Radiology and subspecialty opportunities, visit TPMG Physician Careers at: ___ We are an equal opportunity employer and VEVRAA Federal Contractor.

TPMG is seeking a BE/BC Pediatrics - Hospitalist (Per Diem) to join our team in Santa Clara, CA. The Permanente Medical Group, Inc. is one of the largest medical groups in the nation with over 9,000 physicians, 22 medical centers, numerous clinics throughout Northern and Central California and a 75-year tradition of providing quality medical care. Requirements: • Board Certification or Eligibility, • Must be eligible to obtain a CA medical license or be currently licensed to practice within CA A FEW REASONS TO CONSIDER A PRACTICE WITH TPMG: • Work-life balance focused practice, including flexible schedules and unmatched practice support., • We can focus on providing excellent patient care without managing overhead and billing., • We demonstrate our commitment to a culture of equity and inclusion by hiring physicians who reflect the people we serve., • Multi-specialty collaboration with a mission-driven integrated health care delivery model., • An outstanding electronic medical record system that allows flexibility in patient management., • We have a very rich and comprehensive Physician Health & Wellness Program., • We are Physician-led and develop our own leaders., • Professional development opportunities in teaching, research, mentorship, physician leadership, and community service. Northern California's sophisticated yet laid-back ambiance offers urban and suburban lifestyles, enhanced by the presence of world-class art museums, renowned eateries, home of world championship sports teams, and a large spectrum of entertainment and recreational options. Please visit our website to view all our opportunities located throughout Northern, CA: We are an equal opportunity employer | VEVRAA Federal Contractor

Palo Alto Foundation Medical Group (PAFMG) is seeking a full-time, board-certified or board-eligible Physical Medicine & Rehabilitation (PM&R) physician to join our established interventional spine practice in San Jose, California. Position Details: • Fully established interventional spine practice with extensive internal referral network, • State-of-the-art outpatient medical center with collaborative ancillary support, • Full-time schedule: 35 patient contact hours per week, • Board-certified or board-eligible in PM&R, • Guaranteed salary for two years with production bonus potential, • Shareholder eligibility after two years, • Very competitive, production-based income for shareholders, • Schedule flexibility and sabbatical opportunities for work-life balance, • Relocation allowance provided, • Generous benefits package, including health, dental, vision, CME allowance, • Retirement benefits: 401k, defined pension cash-balance, and HSA plans Palo Alto Foundation Medical Group is one of the largest multi-specialty medical groups in the nation, with over 1,700 clinicians across 40+ specialties throughout the San Francisco Bay Area. We are consistently recognized for excellence in quality, innovation, and physician leadership. PAFMG is affiliated with Palo Alto Medical Foundation, a not-for-profit health care organization that provides advanced technology, administrative support, and a collaborative care model that allows physicians to focus on delivering exceptional patient care. Community Information: Located in the heart of Silicon Valley, San Jose offers a dynamic blend of urban sophistication, cultural diversity, and natural beauty. As California’s third-largest city, San Jose provides: • Thriving economy with proximity to world-leading tech companies and start-ups, • Excellent schools and universities, including Stanford and San Jose State, • A vibrant cultural scene, featuring museums, performing arts, and diverse dining options, • Easy access to outdoor recreation, from hiking in the Santa Cruz Mountains to beaches along the Pacific Coast

Date Posted: 2026-02-24 Country: United States of America Location: US-AZ-TUCSON-805 ~ 1151 E Hermans Rd ~ BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world. Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensors, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate’s (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our engineers design, develop, and build innovative solutions for the U.S. Government. Experience all aspects of a software development life cycle as a member of a fast-paced agile team on the leading edge of: Real-time systems design Digital signal processing Machine Learning and Autonomous Systems Cyber Security DevOps technologies and methods We encourage curious, creative problem solvers to join our team of bright, dedicated software craftspeople in designing and implementing highly innovative systems. You will learn advanced software engineering practices and apply new technologies to develop next generation capabilities and help keep our country safe. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do: Assist and participate in the requirements, design, development and testing of real-time embedded software, application software, and tools, to include development of new work products or enhancement of existing applications and systems. Design, code, test, integrate, and document software solutions. Participate in internal review of software components and systems. Collaborate with project managers and other professionals within Engineering. Work on problems with defined scope, schedule, and expectations. Follow established development practices and processes to maintain the configuration management of software products. What You Will Learn: Use new tools that will keep you state-of-the-art. Stay updated with the latest advancements in software development and missile technology to drive innovation. Qualifications You Must Have: Bachelor’s degree in Science, Technology, Engineering, or Mathematics (STEM). Experience with C, C++, or Java. This position requires 12 months or less of relevant professional work experience (excluding Internships). The ability to obtain and maintain a U.S. government issued clearance. U.S. citizenship is required as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer: Bachelor’s degree in Computer Engineering, Computer Science, or Software Engineering, and prior Internship experience. Knowledge of data structures and algorithms, systems software design, operating systems and architectures. Knowledge of assembly, C/C++ programming, structured programming concepts. Knowledge of object-oriented design and Unified Model Language. Experience writing low level code for microcontroller, Arduino or Raspberry PI Interpersonal and communication skills, both verbal and written. ABET is the preferred, although not required, accreditation standard. 3.0 cumulative GPA desired. Demonstrated ability to work effectively with colleagues and leaders in a team environment. What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite role in Tucson, AZ Employees who are working in Onsite roles will work primarily onsite. This includes all production employees, as they are essential to the development of our products. This position involves direct support of manufacturing activities and requires spending significant amounts of time in and around factory areas. Additional Details: Please upload a copy of your most recent resume when applying to this requisition. Include your cumulative GPA and projected graduation date on your resume. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 57,200 USD - 108,800 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. 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, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act. Privacy Policy and Terms: Click on this ___ to read the Policy and Terms

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at this Role: CoreWeave is looking for a Director of Engineering to own and scale our next-generation Inference Platform. In this highly technical, strategic role you will lead a world-class engineering organization to design, build, and operate the fastest, most cost-efficient, and most reliable GPU inference services in the industry. Your charter spans everything from model-serving runtimes (e.g., Triton, vLLM, TensorRT-LLM) and autoscaling micro-batch schedulers to developer-friendly SDKs and airtight, multi-tenant security - all delivered on CoreWeave's unique accelerated-compute infrastructure. What You'll Do: • Vision & Roadmap - Define and continuously refine the end-to-end Inference Platform roadmap, prioritizing low-latency, high-throughput model serving and world-class developer UX. Set technical standards for runtime selection, GPU/CPU heterogeneity, quantization, and model-optimization techniques., • Platform Architecture - Design and implement a global, Kubernetes-native inference control plane that delivers <50 ms P99 latencies at scale. Build adaptive micro-batching, request-routing, and autoscaling mechanisms that maximize GPU utilization while meeting strict SLAs. Integrate model-optimization pipelines (TensorRT, ONNX Runtime, BetterTransformer, AWQ, etc.) for frictionless deployment., • Implement state-of-the-art runtime optimizations—including speculative decoding, KV-cache reuse across batches, early-exit heuristics, and tensor-parallel streaming—to squeeze every microsecond out of LLM inference while retaining accuracy., • Operational Excellence - Establish SLOs/SLA dashboards, real-time observability, and self-healing mechanisms for thousands of models across multiple regions. Drive cost-performance trade-off tooling that makes it trivial for customers to choose the best HW tier for each workload., • Leadership - Hire, mentor, and grow a diverse team of engineers and managers passionate about large-scale AI inference. Foster a customer-obsessed, metrics-driven engineering culture with crisp design reviews and blameless post-mortems., • Collaboration - Partner closely with Product, Orchestration, Networking, and Security teams to deliver a unified CoreWeave experience. Engage directly with flagship customers (internal and external) to gather feedback and shape the roadmap.Who You Are:, • 10+ years building large-scale distributed systems or cloud services, with 5+ years leading multiple engineering teams., • Proven success delivering mission-critical model-serving or real-time data-plane services (e.g., Triton, TorchServe, vLLM, Ray Serve, SageMaker Inference, GCP Vertex Prediction)., • Deep understanding of GPU/CPU resource isolation, NUMA-aware scheduling, micro-batching, and low-latency networking (gRPC, QUIC, RDMA)., • Track record of optimizing cost-per-token / cost-per-request and hitting sub-100 ms global P99 latencies., • Expertise in Kubernetes, service meshes, and CI/CD for ML workloads; familiarity with Slurm, Kueue, or other schedulers a plus., • Hands-on experience with LLM optimization (quantization, compilation, tensor parallelism, speculative decoding) and hardware-aware model compression., • Excellent communicator who can translate deep technical concepts into clear business value for C-suite and engineering audiences., • Bachelor's or Master's in CS, EE, or related field (or equivalent practical experience).Nice-to-have:, • Experience operating multi-region inference fleets at a cloud provider or hyperscaler., • Background in edge inference, streaming inference, or real-time personalization systems. The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionSalary: $40,000 - $70,000 About RISE Education System RISE Academy is a subsidiary of RISE Education System, a 501(c)(3) non-profit educational organization accredited by the Western Association of Schools and Colleges (WASC) and Cognia. Our mission is to promote the holistic development of the child through an authentic and experiential student learning experiencegrounded in faith, family, and community. RISE Academy provides excellence in academic preparation within a faith-based environment.Our vision is to guide and nurture students to become role models who exhibit high levels of God-consciousness, professional excellence, and civic leadership by serving society at large. Position Overview RISE Academy is seeking subject teachers for the 20262027 school year. Teaching assignments may include grades 612 and one or more of the following subject areas: • Sciences: life science, physical science, computer science, • English Language Arts (ELA), • Social Sciences: economics, geography, history, psychology, sociology Job Expectations • Shared Vision: Supports a vision of excellence for all students, with urgency to maximize opportunities necessary to achieve ambitious outcomes, • Culture of Excellence: Builds a safe, culturally responsive, and nurturing community where students love learning and are excited to attend school, • Teaching and Learning: Creates powerfully engaging experiences aligned to our academic model and designed to accelerate learning and achievement, • Data and Assessment: Engages in student case management and proactively makes data-driven instructional decisions, • Innovation (STREAM): Develops and executes innovative STREAM strategies to support a world-class and well-rounded education, • Professional Growth: Commits to continuous growth, participates in professional development, and contributes to a collaborative learning community, • Community Outreach: Communicates regularly with families and participates in key school community events Key Responsibilities Instruction and Planning • Plan, develop, and implement lesson plans that fulfill the requirements of the schools instructional program and provide written evidence of preparation, • Deliver engaging instruction using inquiry-based, project-based, and experiential approaches aligned to STREAM, • Differentiate instruction and provide accommodations for diverse learners and learning styles, • Conduct ongoing assessment of student achievement using formal and informal methods, • Analyze student data and use multiple assessment techniques to adjust instruction, provide remediation/enrichment, and support mastery, • Support individual student needs through proactive case management and collaboration with colleagues, • Modify curricula as needed for students with learning differences, including implementation aligned to IEP guidelines when applicable, • Create a classroom environment conducive to active learning and appropriate to students developmental needs, • Establish clear classroom routines and effective behavior expectations and supports, • Participate in professional development and collaborative planning, • Abide by the staff handbook and all school policies, procedures, and applicable laws/regulations, • Assist with school events and extracurricular activities as needed, • Demonstrate flexibility and willingness to take on varied responsibilities as the school grows, • Perform other duties as assigned Qualifications (Required) • Bachelors degree from an accredited university in Education or a related field aligned to the subject(s) taught (e.g., English, Science, Computer Science, Social Sciences, Fine Arts, etc.), • At least 1 year of prior teaching experience in a formal setting (or comparable youth instructional experience aligned to the role), • Demonstrated alignment with RISE Academys mission, vision, and faith-based environment, • Knowledge of curriculum, instruction, and current research/best practices in assigned subject area(s), • Commitment to inquiry-based, project-based, and experiential learning, • Ability to differentiate instruction and modify learning experiences for varied student needs, • Strong classroom management skills and ability to build a safe, structured learning environment, • Strong interpersonal and collaboration skills; communicates effectively and respectfully with students, families, and colleagues, • Experience analyzing student data and using a variety of assessment methods to guide instruction and interventions, • Reflective practice: able to respond well to feedback and adjust instruction accordingly, • Comfort using educational technology and tools (email, internet, word processing/spreadsheets, and classroom equipment such as projectors/printers), • Flexibility to take on a variety of tasks and responsibilities as campus needs evolve Preferred Qualifications • Masters degree in a relevant field, • 2+ years of successful teaching experience in a formal setting, • Valid teaching credential (or progress toward credentialing), • Experience designing STREAM-integrated projects and interdisciplinary learning experiences Physical Requirements and Work Environment • Ability to occasionally lift, carry, push, and pull up to 20 pounds (classroom supplies, desks/chairs, electronics, and other materials), • Ability to stand, move throughout classrooms/campus, and supervise students for extended periods, • Frequent use of a computer/keyboard and operation of classroom/office equipment (printers, copiers, projectors, calculators, etc.), • Consistent practice of safe working habits and ability to maintain a safe, organized, hazard-free classroom and workstation, • Occasional evening/weekend work for school events; may include outdoor duties in varying weather conditions, • Ability to clearly communicate information and understand information communicated by others Compensation Compensation is based on teaching credentials (non-credentialed vs. credentialed), years of experience, academic degrees, subject(s) taught, and certifications. Children of staff members may be eligible for tuition discounts.

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role We are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models—the next-generation foundation models to unlock machine intelligence beyond lingual. Our mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. Key Responsibilities: Data Infrastructure & Pipelines • Design, implement, and maintain scalable video data pipelines to support large-scale training., • Develop data preprocessing, transformation, and synthesis workflows to support world model training., • Contribute to building high-quality data annotation pipelines to ensure accurate and consistent labels across large-scale datasets. Key Responsibilities: Training & Inference Systems, • Support the training of multimodal foundation models (e.g., video diffusion models, world models) by developing and optimizing distributed training systems., • Improve inference and serving efficiency for real-time interaction through model optimization and system tuning., • Monitor system health and performance, and contribute to debugging and optimization at scale. Key Responsibilities: Collaboration & Integration, • Work closely with research teams to understand experimental goals and translate ideas into reliable and maintainable infrastructure and tools., • Integrate novel research prototypes into production-ready systems and ensure reproducibility at scale., • Participate in design and code reviews, ensuring code quality, efficiency, and compliance with best practices. Key Responsibilities: Benchmarking & Evaluation, • Contribute to the development of tools and infrastructure to evaluate model performance using rigorous quantitative benchmarks, including metrics for physical accuracy and controllability. Key Responsibilities: Codebase & Documentation, • Maintain and extend shared codebases, contribute to internal documentation, and support onboarding of new team members or collaborators., • Write clean, efficient, and well-tested code for components across the model development lifecycle. Key Responsibilities, • Support contributions to research papers and demos when engineering work plays a significant role., • Help represent the team’s engineering excellence in internal and external forums when appropriate. Academic Qualifications, • MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience. Professional Experience Required, • Proficient in data collection, cleaning, and transformation at scale, including designing robust pipelines for multimodal datasets (e.g., video, audio, text)., • Practical experience with web scraping and crawling frameworks (e.g., scrapy, selenium, playwright, BeautifulSoup) to collect and curate high-quality web-scale datasets., • Experience in large-scale model training (LLMs or Diffusion Models) on large clusters., • Hands-on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX, etc.)., • Experiences in building and optimizing large-scale video data pipelines., • Experience in accelerating diffusion model inference for improved efficiency., • Exceptional problem-solving and troubleshooting skills to tackle complex technical challenges., • Strong systems and engineering expertise in deep learning frameworks such as PyTorch., • Strong communication and collaboration skills for effective cross-functional teamwork.

Job Description This is a hands-on solutions delivery role with a strong emphasis on technical implementation skills, responsible for ensuring the successful onboarding of customers onto the Ushur platform. The Professional Services team at Ushur acts as a bridge between customers and the sales, product, and engineering teams to support successful customer onboarding, expansion, and renewal. As an Ushur Technical Consultant, you will be responsible for supporting implementations and helping customers maximize the value of the Ushur platform. This includes scoping, designing, and deploying end-user and customer automation journeys using state-of-the-art artificial intelligence and data science–based solutions. A Technical Consultant sits at the core of the Solutions Delivery team, leading discovery sessions with customer champions, capturing technical requirements, and formalizing solutions that align with defined success criteria to ensure successful, on-time delivery. There is a preference to have this role at our Headquarters office in Santa Clara, CA. Remote candidates will be considered. What You'll Do • Design, build, and orchestrate complex no-code workflows that map customer business use cases to scalable, production-ready solutions using industry best practices, • Own customer implementations end-to-end from discovery through production go-live, acting as the technical delivery lead accountable for scope, timelines, risks, and quality, • Develop clear solution and technical documentation, including architecture diagrams, data flows, and business process flows, and effectively communicate to technical and non-technical stakeholders, • Utilize your outstanding technical consulting skills to implement software solutions that address the disparate needs of businesses, • Engage with Technical Success Managers and Account Executives to support solution scoping, effort estimation, and implementation planning, • Lead and drive scope definition, requirements analysis, functional and technical design, application configuration, unit testing, UAT and production deployments, • Provide hands-on technical implementation and support across multiple concurrent customer engagements, • Participate in customer-facing activities including discovery sessions, requirements workshops, solution walkthroughs, and demos, • Share knowledge, reusable patterns, and best practices with peers to improve team effectiveness and delivery consistency, • Identify, document, and track product gaps, risks, and issues using Jira and collaborate with Product and Engineering teams as needed, • Complete weekly time tracking and timesheet submissions in accordance with Professional Services processes, • Allocate time to client-facing meetings including demos, requirements gathering etc.What You Bring, • Bachelor's or Master's degree in Computer Science and or Engineering., • 4+ years of experience in a technical consulting role or mid-to-large SaaS enterprise solutions company or similar experience, • Experience working with cloud-based platforms and services, preferably Amazon AWS or equivalent, • Strong experience working with APIs, scripting, and data transformations; familiarity with JavaScript and/or Python strongly preferred, • Proven ability to operate effectively in a fast-paced, startup environment with changing priorities and a strong bias toward problem-solving and execution, • Customer-first mindset with demonstrated experience delivering solutions aligned to business outcomes, • Strong verbal, written, and presentation skills, with the ability to communicate complex technical concepts to non-technical stakeholders, • Passion for technology and being a part of a fast-growing SaaS startup where we move quickly and wear many hats, • Experience delivering customer-facing implementations using Agile or hybrid delivery methodologies, • Strong knowledge of software testing and debugging tools, platforms/frameworks and associated solutioning approaches in enterprise implementations., • Strong analytical and problem-solving skills, with the ability to evaluate trade-offs and design pragmatic solutions leveraging automation and AI where appropriate., • Strong interpersonal skills and the ability to collaborate effectively with cross-functional teams across Product, Engineering, Sales, and Customer Success, • Familiarity with conversational AI, intelligent automation, or AI-driven customer engagement platforms is a plus.The pay range for this position is $110,000- $120,000 plus bonus and equity. However, base pay offered may vary depending on skills, experience, job-related knowledge and location.Why Join Us?Thriving Company Culture. At Ushur, we foster a values-driven culture that prioritizes respect, inclusion, and collaboration. We empower every individual to thrive, contribute innovative ideas, and make a meaningful impact in a supportive and dynamic environment.Bring Your Whole Self to Work. We celebrate diversity and believe that innovative ideas thrive in an inclusive environment where every team member is valued. As a dynamic start-up, we recognize that every individual makes a significant impact.Rest and Recharge. Take advantage of unlimited PTO, paid holidays (10 holidays + full week off at the end of December), and more to prioritize your well-being and maintain balance.Comprehensive Health Benefits. We've got you covered with health, dental, and vision plans tailored to meet the needs of you and your loved ones, plus additional offerings like life insurance, accident coverage, and more.Invest in Your Future. We provide a 401(k) plan to support your retirement savings and stock options to give you a stake in our company's success and growth.Embrace Growth. One of our core values is Growth Mindset – we believe in lifelong learning. We offer opportunities to support your development, including assistance with certifications and continuing education related to your role at Ushur.Flexible Work Options. We understand the importance of flexibility. For employees based near our HQ, we offer a hybrid work model that balances collaboration and autonomy. Fully remote roles are available for employees located outside of the HQ area, ensuring everyone can thrive in an environment that works best for them.

Job DescriptionBoson AI is an early-stage startup building large language tools for everyone to use. Our founders (Alex Smola,Mu Li), and a team of Deep Learning, Optimization, NLP, AutoML and Statistics scientists and engineers are working on high quality generative AI models for language and beyond. We are seeking research scientists and engineers to join our team full-time in our Santa Clara office. As part of your role, you will work on implementing and training deep neural networks, understanding and interpreting model behavior and aligning models to human values. The ideal candidate will possess a strong background in machine learning, and have motivations for developing state-of-the-art models towards AGI. We encourage you to apply even if you do not believe you meet every single qualification. As long as you are motivated to learn and join the development of foundation models, we’d love to chat.Responsibilities: • Design and run evaluations to measure model’s capabilities., • Write efficient and clean code to build evaluation pipeline., • Share your findings to help model development and data annotation guidelines.You may be a good fit if you have:, • Experience in prompt engineering or other ways to interact with large language models., • Experience in data analysis, familiar with data processing and visualization tools.Strong candidates may also have:, • Proficiency in at least one deep learning framework, such as PyTorch., • Think out of box, can find solutions to ambiguously scoped problems., • Ability to summarize results, clearly communicate the observations in your work., • Participated in research projects on model evaluation or related topics.

Job Description Special Education Teacher About Morgan Autism Center Morgan Autism Center provides a safe, nurturing, and joyful environment where individuals impacted by autism or other developmental disabilities are accepted and celebrated for who they are. Founded in 1969, the focus is on creating respectful and positive interactions to maximize the potential of each student and client. Morgan Autism Center offers school and adult day programs and is an important resource for families and professional service providers throughout the Bay Area. Their flexible, comprehensive, and highly individualized approach has evolved into a model successfully adopted and implemented in located school districts. For more information, please visit Position Overview The Special Education Teacher is responsible for the management of their classroom including student and staff management. They design and implement curriculum, student individualized education plans (IEPs), behavior plans, and collaborate closely with parents and other members of the program team including instructional aides, speech therapists, occupational therapists and administration. Reporting Relationships This position reports directly to a School Program Director Key Responsibilities Classroom Structure, Curriculum, and Organization • Design and implement enriching and meaningful curriculum and activities focused on functional skills while addressing each student’s IEP goals (community outings, art projects, cooking, special activities), • Support classroom team in maintaining ongoing data tracking systems regarding behavior, goal progress, and any other areas needed for all students and provide quarterly progress reports, • Design and maintain effective physical and program organization in alignment with the Morgan Autism Center Model (e.g., daily schedules for students and staff, daily/weekly routines, 15-minute rotation model, and other classroom systems), • Support all students and staff in use of multi-modal communication strategies (e.g., visual first-then schedules, task analyses, social stories, daily schedules, AAC devices, basic sign language, and any other supports needed), • Provide ongoing support and teaching for all activities of daily living (e.g., toileting, personal hygiene, maintaining safety, and other areas as needed), • Maintain and demonstrate the MAC model of positivity, compassion, and collaboration at all times, • Direct participation in all daily activities, including physical education, community outings, special events, art, music, etc., • Supervise, coach and manage (including training and evaluations) a team of 7 - 8 instructional aides in executing program model and philosophy, • Model and maintain a healthy and effective team dynamic among classroom staff, • Train and/or assist in training of classroom staff, • All program development, student supports planning and implementation must align with the philosophy of the Morgan Autism Center model, • Develop and implement all IEPs for each student on their caseload (e.g., annual, triennial, transition, exit, etc.) in collaboration with all IEP team members (parents, group home, OT, SLP, admin, etc.), • Design and implement effective behavior intervention plans for all students, based on analysis of recorded data, • Conduct pre-IEP meetings with parents and service providers to discuss direction and development of IEP prior to district IEP meeting, • Maintain consistent and thorough communication and collaboration with all IEP team members (parents, group home, OT, SLP, admin, etc.), including individualized daily communication to classroom parents, • Maintain professional relationships with school districts, regional centers and other professional agencies, • Attend and participate in training on the Morgan Autism Center Model, • Attend all in-services provided by Morgan Autism Center, • Attend additional trainings upon requestExperience and Requirements, • Current Education Specialist Credential (moderate to severe), • Ability to read and write English at a professionally appropriate level, • Ability to navigate pertinent technology (e.g., computers, tablets, Boardmaker, etc.), • Ability to physically engage with all elements of programming (e.g., daily PE, vocational tasks, physical support for students, etc.) Salary and Position Classification • Exempt Position, • Full-Time, • Medical, Dental, Vision (Employee paid 100%), • Life Insurance and Long-Term Disability., • Monday to Friday (8:15 AM - 3:30 PM), • 210 workdays DEI Statement It is Morgan Autism Center’s intent to provide equal employment opportunities to all qualified persons without regard to race, color, religion, sex, gender identity and expression, genetic characteristics, pregnancy, marital status, veteran status, sexual orientation, age, national origin, ancestry, disability, medical condition, or other protected class status as defined by applicable law. This policy covers all employment matters, including but not limited to recruitment, selection, placement, promotions, transfers, demotions, terminations, training and compensation. Powered by JazzHR kgPbqqdzLu

Job Description Design-Build Electrical Engineer II (San Jose, California) Department: Electrical Engineering/Physical Infrastructure Location: San Jose, California Work Model: On-site Role Type: Perm Employee/Direct hire About Our Client Our client believes in empowering engineers to make a profound impact on exciting high-profile projects while cultivating a dynamic work environment. They are the largest privately held electrical contractor in the nation, with annual revenue approaching $2 billion. Our client's experience in the industry sectors is well rounded and includes Data Centers, Education, Healthcare, Institutional, Renewable Energy, Transportation, Commercial, Entertainment, Telecom, Heavy Industrial, and Design-Build. Job Description As a Design-Build Electrical Engineer II, you will play a crucial role in delivering innovative engineering solutions, collaborating with diverse teams, and ensuring that our projects meet all technical standards and specifications. Join us and become part of a legacy built on integrity and excellence, where your contributions help shape the communities we live and work in. The Design-Build Engineer II is a mid-level engineering position responsible for providing technical engineering information and support to the senior engineers to ensure that projects comply with the project requirements and all engineering standards, applicable codes, and specifications. Knowledge of various electrical engineering concepts, including power distribution, lighting, grounding, energy conservation, and value engineering related to designing state-of-the-art, constructible projects. Required Skills: Proficient in electrical engineering principles, including power distribution, lighting design, and energy conservation. Strong analytical skills for conducting load analysis and system testing. Effective verbal and written communication skills for collaborating with multidisciplinary teams. Familiarity with relevant codes, regulations, and best practices in electrical engineering. Experience with engineering design software and tools, including Autodesk and Microsoft Office Suite. Nice to Have Skills: Previous experience in high-rise residential, commercial, or data center projects. Familiarity with LEED certification processes or energy efficiency standards. Experience in value engineering and operational efficiency improvement. Preferred Education and Experience: Bachelor's degree in Electrical Engineering, Architectural Engineering, or Construction Sciences. A minimum of 2 years of relevant engineering experience. Completion of the Engineer-In-Training (EIT) exam is a plus, with encouragement to pursue Professional Engineer (PE) registration. Other Requirements: Ability to travel up to 25% for project site visits (excluding local field visits). Willingness to perform field assignments as needed. APPLY NOW! *Connect with your Catapult Recruiter: Kailyn Hartley, directly at * Electrical Engineering Principles | Power Distribution | Lighting Design | Load Analysis | Energy Conservation | NEC/National Electrical Code | Data Centers | Commercial Construction | Mission Critical Infrastructure | Autodesk | Revit | AutoCAD | LEED Certification | Project Site Visits

Job DescriptionJob Title: Research scientist (Robotics, AI) Position Type: Full time Location: Santa Clara, CA, USA Salary Range: $150,000 - $230, 000 (USD) Job ID#: 158284 Job Description: We are looking for a creative, skilled, and motivated research scientists to join our team in advancing robot manipulation capabilities. We are looking for people with proven expertise in machine learning and/or robotics. You will collaborate with a team of talented researchers and engineers, and drive ongoing innovation and technological advancements within the company. This is a full-time on-site role in Santa Clara, CA. Responsibilities * Develop new algorithms and methods for training AI models for enhancing the robot dexterity. * Conduct cutting edge research across multiple disciplines (Robotics, RL/IL, control, perception, LLM, VLM, etc.). * Work with large-scale ML systems and large-scale model training/fine-tuning. * Design and implement state-of-the-art learning-based manipulation/navigation/control algorithms on real robots. * Work with other teams to develop a diverse set of robust manipulation skills for robots. Requirements: * Ph.D. degree in Robotics, Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, etc., or equivalent research experience. * Passionate about working with robots and building robot products. * Excellent analytical, problem-solving, and communication skills. * At least 3 years of experience conducting independent research. * Deep understanding of the SOTA robot learning techniques (reinforcement learning, imitation learning, etc.) * A track record of research excellence with your work published in top conferences and journals such as Science Robotics, IJRR, RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, CVPR, etc. * Proficient with Python. * Proficient with deep learning libraries such as PyTorch/TensorFlow/Jax. * Experience with real robot experiments. * Experienced with robot simulators such as Isaac Gym/ Isaac Sim/ SAPIEN/ MuJoCo/Drake, etc. About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at . Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility. Powered by JazzHR PI2k5Mktin

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Position SummaryAs a member of the Agents team, you will tackle research and engineering challenges to train advanced agentic language models that are adept at using reasoning and tool use to complete tasks on a computer. These challenges range from building high-quality training datasets and robust evaluations to innovative reinforcement learning infrastructure, algorithms and environments. The team aims to recruit candidates across the research-engineering spectrum, from algorithmic and empirical research to large-scale systems and optimization, reflecting the breadth of interesting problems we aim to solve. We value depth in any subset of these areas; there is no single “right” background. Key Responsibilities· Propose, prototype, and scale algorithms/systems to support agentic learning· Develop new paradigms for agentic behavior that go beyond current practices· Contribute to technical reports, research publications, and open-source software· Collaborate with other teams to produce state-of-the-art foundation models Academic Qualifications• BS, MS, or PhD degree (or equivalent experience) in Computer Science, Machine Learning, or related fields Professional ExperienceMinimum· 2 years of experience working in one of the following or related areas: LLM training/fine-tuning, evaluations, reinforcement learning, LLM inference, distributed machine learning systems· Python and PyTorch development experience· Experience in using LLM agents for your personal or professional use· Experience in designing and implementing algorithms from scratch (for algorithms focus)· Experience in dataset curation and generation (for data focus)· Experience in building or contributing to training/serving infrastructure (for systems focus)· Experience in designing and deep diving into evaluations (for evals focus) Preferred Skills· Expertise in one or more of PyTorch, Ray, Triton, CUDA C++· Strong knowledge of literature on RL, LLM reasoning, and tool use· Experience in training or using LLM agents for SWE tasks· Deep understanding of reinforcement learning principles· Experience implementing distributed learning algorithms· Contributions to published research and/or open-source ML softwareVisa SponsorshipThis position is eligible for visa sponsorship. Benefits IncludeGenerous paid time off, sick leave and holidaysEmployee Assistance Program*Life insurance and disability

Job DescriptionPlus, also known as PlusAI, is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. We are seeking a Senior Machine Learning Engineer with expertise in deep learning and data analysis. In this role, you will apply data-driven techniques to develop high-fidelity, scalable vehicle simulation models tailored to various vehicle platforms. You will collaborate with cross-functional teams to advance autonomous driving technology and drive innovation in simulation and model development.Responsibilities: • Develop accurate, scalable vehicle dynamics models from collected road test data, leveraging deep learning and advanced data analysis techniques., • Conduct in-depth analysis of road test data to identify trends, anomalies, and key performance indicators to enhance model accuracy., • Integrate the data-driven models into simulation pipelines with seamless compatibility., • Design and implement an automated modeling pipeline for periodic model training, evaluation, and updates., • Collaborate with cross-disciplinary teams to reproduce and resolve issues encountered during real-world road tests., • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies., • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.Required Skills:, • MS (with 3+ years of relevant experience) or PhD new grad in mechanical, electrical, aerospace engineering, physics, computer science, or a related field., • Extensive experience applying deep learning techniques to time series forecasting and data analysis., • Proficient in Python with experience working in large codebases., • Excellent communication skills and the ability to collaborate effectively in a team setting., • Familiarity with state-of-the-art deep learning models and their applications., • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.Preferred Skills, • Proficient in C++, • Background in autonomous vehicle prediction, planning, and control, • Strong understanding of conventional vehicle dynamics modeling

Job DescriptionAbout the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role As the Senior Product Manager for our teams, you will work within the extreme ambiguity of frontier research and impose the rigor and focus required for high-velocity delivery. You will partner with Lab Leadership to define the product vision for our model families (LLMs, reasoning, world models) and the applications built upon them. This product vision and leadership will be integral to achieving successful, high-quality releases of state-of-the-art models for the global community. Concurrently, you will lay the groundwork for our Product Management organization. You will define the holistic product vision for the lab, determining not just what we build, but who we build it for. As the team scales, you will hire, mentor, and manage the Product Managers responsible for individual model families, setting the standard for excellence across the board. Key Responsilities • Product Vision & Strategy, • Define the "North Star": Partner with Lab Leadership to synthesize disparate research tracks into a cohesive, lab-wide Product Strategy. Ensure our various model families (LLMs, reasoning, world models) tell a unified story., • User-Centric Roadmap: You are the voice of the user in the research lab. Whether our target is an academic researcher, an open-source hacker, or an enterprise CTO, you must define the specific personas for each model and ensure the product roadmap solves their actual problems (not just theoretical ones)., • Ecosystem Thinking: Treat the model as a platform. Define the requirements for model capabilities, serving endpoints, APIs, and demo applications to ensure our models are usable, accessible, and impactful from Day 1. Execution & Shipping, • Drive Shipping as a Habit: Instill a culture of relentless execution. converting "research timelines" (flexible) into "product timelines" (committed). Manage the tension between research exploration and shipping deadlines., • Technical Translation: Bridge the gap between the Research, Data, and Engineering teams. Translate complex technical constraints (compute budgets, data availability) into clear trade-off decisions., • Force-Rank Priorities: Ruthlessly prioritize features and evaluations to ensure the team is always working on the critical path to release., • Own the Release Criteria: Define what "Done" looks like. Establish and enforce the benchmarks for performance and safety required for a public release., • Cross-Functional Collaboration: Support the synchronization between Research, Engineering, Marketing, and Production. You help to ensure that engineering timelines, marketing beats, and model training schedules are aligned, preventing silos from slowing down the release. Organizational Leadership & Team Building, • Build the PM Engine: You will be the architect of the Product Management function and will define the operating principles for existing and future Product Managers., • Manage & Scale: As the team grows, you will transition into leading the Product Management organization, managing the Product Managers dedicated to specific model families. You will be responsible for their output, growth, and alignment with IFM’s mission., • A bachelor’s degree in Computer Science, Engineering, Physics, or a related technical field. (MBA or advanced technical degree is a plus, but shipping record matters more). Professional Experience - Minimum, • 7+ years of relevant industry experience, with at least 3 years in Product Management for technical, backend, or platform products., • Proven "Shipper": You must have a portfolio of complex technical products you have successfully launched from 0 to 1., • Strategic & User Insight: Demonstrated ability to take a piece of complex technology and find its product-market fit. You can articulate why a user needs a specific feature and back it up with data or intuition., • Leadership Potential: Experience mentoring junior Product Managers or leading cross-functional initiatives. You are ready to build and lead a team., • Technical Fluency: You do not need to write the code, but you must understand the stack. You can discuss context windows, inference latency, and specific benchmarks with researchers without a translator. Professional Experience - Preferred, • Foundation Model Experience: Experience working specifically with LLMs, Generative AI, or ML Infrastructure., • Research-to-Product Transition: Experience working in a research lab or R&D environment, specifically managing the transition of research artifacts into production-grade assets., • Open Source Strategy: Familiarity with the open-source AI ecosystem (Hugging Face, vLLM, etc.) and experience managing open-source community releases.

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The RoleAs a Research Scientist specializing in Computer Vision your role will be crucial in advancing cutting-edge computer vision technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of Computer Vision solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies. Key Responsibilities • Lead the research of technology for improving efficiency in Computer Vision models while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training., • Design and implement Computer Vision algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks., • Integrate and improve Computer Vision algorithms to work with other models such as LLMs, • Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient Computer Vision technology., • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies., • Write up results in design documents, technical reports, and papers for publication., • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation., • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.Academic Qualifications, • Minimum: Master’s in Computer Science, a related technical field, or equivalent practical experience., • Preferred: PhD or equivalent research experience in Computer VisionProfessional Experience - Minimum, • Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision)., • Knowledge of algorithms, including one or more of the following: imaging, computer vision, computer graphics, or parallel computation., • Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms., • Excellent problem-solving and troubleshooting skills to address complex technical challenges., • Effective communication and collaboration skills to work with cross functional teams., • Ability to effectively navigate ambiguity.Professional Experience - Preferred, • Knowledge of modern deep learning techniques and Generative AI for photography, • Experience leading research efforts and influencing other researchers., • Experience with efficiency, modularity or related topics for LLMs., • Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)., • Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile).

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The RoleThe Distributed ML Engineer will play a role at the forefront of optimizing performance for the machine learning software stacks, especially at training and inference, and support the team to develop new and cutting-edge systems. The ideal candidate will have a strong background in parallel computing, and hands-on experience in system level coding, debug methodologies, and large-scale machine learning experience.Key Responsibilities • Understand, analyze, profile, optimize, and provide guidance to the team on deep learning workloads on state-of-the-art hardware and software platforms to improve their efficiency with different levels of optimization, • Design and implement performance benchmarks and testing methodologies to evaluate application performance, • Build tools to automate workload analysis, workload optimization, and other critical workflows, • Triage system issues and identify bottleneck and inefficiencies by analyzing the sources of issues and the impact on hardware, network and propose solutions to enhance GPU utilization, • Support the team to develop appropriate kernels and systems for new model architectures and algorithms, • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies., • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency)., • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback., • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation., • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.Academic Qualifications, • Ph.D. in CS, EE or CSEE with 1+ years working experience, OR

Job DescriptionPrealize Health Staff Data Scientist (Core Platform)About Prealize HealthPrealize Health is a predictive analytics company that leverages machine learning and clinical expertise to help patients obtain better care, sooner. Most healthcare today is reactive – care is delivered when someone is already ill. We believe healthcare should be about keeping individuals and their families well to prevent them from ever becoming sick. Building on years of published research from our founders at Stanford University, our mission is to provide patients, providers, and payers with the insights they need to improve health outcomes and prevent adverse medical events. We are committed to helping healthcare organizations "see around the corner" to take a proactive approach to wellness.The RoleAs a Staff Data Scientist focusing on Foundation Models, you will lead the development of our next-generation patient trajectory and risk prediction systems. You will serve as one of the technical leads for our custom transformer-based architectures, bridging the gap between state-of-the-art research in self-supervised learning and real-world healthcare applications. This is a strategic, high-impact role where you will drive the evolution of our custom healthcare foundation model, shaping how we process millions of claims, lab results, and EHR records to influence the health trajectory of millions of patients. Key Responsibilities • Domain Expertise: Drive the end-to-end building and execution of our custom healthcare foundation models, translating high-level clinical use cases into concrete deep learning architectures and training objectives., • Strategic Vision: Set the technical roadmap for patient risk prediction and health trajectory modeling, pioneering the use of transformer-based architectures in the healthcare domain., • Methodological Excellence: Establish best practices for deep learning pipelines, including self-supervised pre-training, fine-tuning paradigms, and rigorous evaluation of longitudinal healthcare data., • Technical Leadership: Own the full ML lifecycle—from data processing and research prototyping to production deployment—while mentoring junior data scientists in modern engineering practices., • Cross-Functional Collaboration: Partner with clinicians to encode medical domain knowledge into model architectures and work with Engineering to productionize models with high reliability and low latency., • Platform Innovation: Experiment with novel architectures and representation learning strategies to ensure our platform remains at the forefront of AI-driven healthcare insights., • External Evangelism: Contribute to research initiatives and represent Prealize Health’s technical expertise in the broader machine learning and healthcare data science community. Required Qualifications, • Education: PhD and/or MS in Computer Science, Machine Learning, Statistics, or a related quantitative field., • Experience: 6–8+ years of experience (with 4+ years specifically building and deploying ML systems in production) with a proven track record of technical leadership., • Deep Learning Expertise: Mastery of transformer architectures, attention mechanisms, and pre-training/fine-tuning paradigms. Hands-on experience with PyTorch or TensorFlow is mandatory., • Programming & AI Tooling: Expert proficiency in Python and distributed computing (PySpark/Spark/SQL) for large-scale data processing., • Proficiency in leveraging AI-assisted coding tools (e.g., Claude Code, Cursor, Codex) to accelerate development cycles and enhance code quality., • Software Engineering Rigor: Strong skills in software design patterns, testing frameworks, CI/CD, and code quality practices., • Strategic Mindset: Demonstrated ability to conduct independent research and translate complex findings into production systems that solve high-ambiguity problems., • Communication: Exceptional ability to distill complex technical strategies and research findings for executive stakeholders and cross-functional teams. Preferred Qualifications, • Healthcare Domain: Experience with large-scale structured healthcare data (Claims, ICD/CPT codes, EHR systems like Epic/Cerner)., • Advanced MLOps: Experience with MLOps tooling such as MLflow, Weights & Biases, and cloud platforms (AWS preferred)., • Specialized Modeling: Familiarity with causal inference, longitudinal modeling, or self-supervised representation learning. We Offer:, • Flexible work environment, • Competitive base salary plus a generous bonus and equity plan, • Paid time off including holidays, • Medical, dental, vision, • 401k Powered by JazzHR bxVrL25zg8

Job DescriptionBoson AI is a startup building large language tools for audio understanding, generation, interaction and entertainment. Our founders, Alex Smola, Mu Li, and a team of Deep Learning, Optimization, NLP, AutoML and Statistics scientists and engineers are working on high quality generative AI models for LLM, large Audio models and beyond. We are seeking research scientists and engineers to join our team full-time in our Santa Clara office. As part of your role, you will work on modeling and training large audio and language models, understanding and interpreting model behavior and aligning models to human values. The ideal candidate will possess a strong background in machine learning, and have motivations for developing state-of-the-art models towards AGI. Responsibilities • Design and verify novel model architectures and training objectives., • Investigate novel model alignment algorithms., • Write efficient and clean code for ML training., • Conduct large-scale experiments to verify the modeling choices and identify improvement areas.Experience, • Summarize results and clearly communicate the motivations and observations in your work, • Proficiency in at least one deep learning framework, such as PyTorch., • Participation in at least one research project related to LLM or multimodal models, e.g. experience in training or fine-tuning them., • Experience in alignment research, • Experience in large-scale distributed model training, • Experience in writing GPU kernels in CUDAQualifications, • PhD or Master's degree with solid scientific contributions, • Active GitHub repository, • Active scientific track record

Job DescriptionABOUT MORGAN AUTISM CENTERMorgan Autism Center provides a safe, nurturing, and joyful environment where individuals impacted by autism or other developmental disabilities are accepted and celebrated for who they are. Founded in 1969, the focus is on creating respectful and positive interactions to maximize the potential of each student and client. Morgan Autism Center offers school and adult day programs and is an important resource for families and professional service providers throughout the Bay Area. Their flexible, comprehensive, and highly individualized approach has evolved into a model successfully adopted and implemented in local school districts.For more information, please visit POSITION OVERVIEWThe Special Education Teacher is responsible for the management of their classroom including student and staff management. They design and implement curriculum, student individualized education plans (IEPs), behavior plans, and collaborate closely with parents and other members of the program team including instructional aides, speech therapists, occupational therapists and administration. REPORTING RELATIONSHIPSThis position reports directly to a School Program Director KEY RESPONSIBILITIESCLASSROOM STRUCTURE, CURRICULUM, AND ORGANIZATION* Design and implement enriching and meaningful curriculum and activities focused on functional skills while addressing each student's IEP goals (community outings, art projects, cooking, special activities)* Support classroom team in maintaining ongoing data tracking systems regarding behavior, goal progress, and any other areas needed for all students and provide quarterly progress reports* Design and maintain effective physical and program organization in alignment with the Morgan Autism Center Model (e.g., daily schedules for students and staff, daily/weekly routines, 15-minute rotation model, and other classroom systems)* Support all students and staff in use of multi-modal communication strategies (e.g., visual first-then schedules, task analyses, social stories, daily schedules, AAC devices, basic sign language, and any other supports needed)* Provide ongoing support and teaching for all activities of daily living (e.g., toileting, personal hygiene, maintaining safety, and other areas as needed)* Maintain and demonstrate the MAC model of positivity, compassion, and collaboration at all times* Direct participation in all daily activities, including physical education, community outings, special events, art, music, etc.* Other duties as required STAFF MANAGEMENT* Supervise, coach and manage (including training and evaluations) a team of 7-8 instructional aides in executing program model and philosophy* Model and maintain a healthy and effective team dynamic among classroom staff* Train and/or assist in training of classroom staff* Conduct effective and efficient daily meetings with classroom staff IEP DEVELOPMENT AND BEHAVIOR MANAGEMENT* All program development, student supports planning and implementation must align with the philosophy of the Morgan Autism Center model* Develop and implement all IEPs for each student on their caseload (e.g., annual, triennial, transition, exit, etc.) in collaboration with all IEP team members (parents, group home, OT, SLP, admin, etc.)* Design and implement effective behavior intervention plans for all students, based on analysis of recorded data* Conduct pre-IEP meetings with parents and service providers to discuss direction and development of IEP prior to district IEP meeting* Submit Triennial or IEP paperwork to admin 1 week ahead of the IEP meeting COMMUNICATION* Maintain consistent and thorough communication and collaboration with all IEP team members (parents, group home, OT, SLP, admin, etc.), including individualized daily communication to classroom parents* Maintain professional relationships with school districts, regional centers and other professional agencies* Provide communication to administrators regarding developing challenges and/or requests for support TRAINING* Attend and participate in training on the Morgan Autism Center Model* Attend all in-services provided by Morgan Autism Center* Attend additional trainings upon request EXPERIENCE AND REQUIREMENTS* Current Education Specialist Credential (moderate to severe preferred) * • Full-Time, • Life Insurance and Long-Term Disability, • 210 workdays (View Work Calendar HERE)

Job DescriptionBoson AI is an early-stage startup building large language tools for everyone to use. Our founders (Alex Smola,Mu Li), and a team of Deep Learning, Optimization, NLP, AutoML and Statistics scientists and engineers are working on high quality generative AI models for language and beyond. We are seeking research scientists and engineers to join our team full-time in our Santa Clara office. As part of your role, you will work on designing model architectures, proposing new loss objectives, and improving generative multimodal models to a new level. The ideal candidate will possess a strong background in machine learning, and have motivations for developing state-of-the-art models towards AGI. We encourage you to apply even if you do not believe you meet every single qualification. As long as you are motivated to learn and join the development of foundation models, we’d love to chat.Responsibilities • Design model architectures and loss objectives to handle combinations of images, video, text, speech, and audio data., • Build diverse datasets to support multimodality learning, including data collection and processing., • Develop new evaluation pipelines to adapt to various forms of generative outputs.You may be a good fit if you have:, • Experience in writing clean and efficient codeMaster or Doctoral degree in computer science or equivalent., • Proficiency in at least one deep learning framework, such as PyTorch or JAX., • Participated in at least 1 research project related to multimodality learning.Strong candidates may also have:, • Experience in generic multimodality learning research (e.g., multimodal joint embedding, text-to-image generation, text-to-video generation, etc.), • Experience in document understanding (e.g., layout analysis, structured data extraction, OCR)., • Experience in audio transcribe, diarization, audio generation, etc. Active Github contributions are a big plus.

Job DescriptionPlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. As a Senior ML Infrastructure Engineer at Plus, you will design scalable architectures capable of handling petabytes of data while ensuring optimal performance for both training and inference phases. You will build robust pipelines for managing model versioning systems and experiment tracking frameworks, which are essential for maintaining reproducibility across experiments. Additionally, you will be responsible for managing large-scale GPU clusters. This role offers unparalleled opportunities—both technically and professionally—for individuals passionate about solving challenging problems using modern cloud-native technologies. Ideal candidates thrive in environments that leverage tools such as Docker containers orchestrated via Kubernetes clusters, seamlessly integrated with state-of-the-art deep learning frameworks like PyTorch or TensorFlow. If you are eager to push the boundaries of what's possible in machine learning infrastructure and contribute to cutting-edge solutions, this position is an excellent fit!Responsibilities: • Design and develop scalable, high-performance systems for training, inference, deploying, and monitoring ML models at scale., • Build and maintain efficient data pipelines, model versioning systems, and experiment tracking frameworks., • Collaborate with cross-functional teams, including ML researchers and engineers, to identify bottlenecks and improve platform usability., • Implement distributed systems and storage solutions optimized for machine learning workloadsDrive improvements in CI/CD workflows for ML models and infrastructure., • Ensure high availability and reliability of the ML platform by implementing robust monitoring, logging, and alerting systems., • Stay current with industry trends and integrate relevant tools and frameworks to enhance the platform., • Mentor junior engineers and contribute to a culture of technical excellence, • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts., • Ensure team compliance with QMS, monitor quality, and drive process improvements.Required Skills:, • Phd or MS in Computer Science, Electrical Engineering, or related field, • Good oral and written communication skills, • Phd new grad or Masters with 3+ years of software engineering experience with a focus on ML infrastructure or distributed systems., • Proficiency in in Python, C++, SQL, • Deep understanding of containerization, orchestration technologies, distributed ML workload, and experiment tracking tools (e.g., Docker, Kubernetes, multiprocessing, Kubeflow, and mlflow), • Deploy and manage resources across multiple cloud platforms (AWS, GCP, or on-prem environments), • Proficiency in at least one deep learning framework, such as PyTorch and data pipeline tools (e.g., Apache Airflow, Prefect)., • Strong knowledge of distributed systems, databases, and storage solutions., • Extensive software design and development skills., • Ability to learn and adapt to new technologies and contribute in a productive environment.Preferred Skills:, • Familiarity with fundamental deep learning architectures, such as Convolutional Neural Networks (CNNs) and Transformer models, • Experience in building large-scale ML datasets, MLOps pipelines, and distributed computing frameworks like Ray

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role We are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models—the next-generation foundation models to unlock machine intelligence beyond lingual. Our mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. Key Responsibilities • Develop the foundational world model to accurately simulate the physical world., • Collaborate with engineering and data teams to tackle key challenges in training the world model on large-scale clusters., • Develop metrics and evaluation benchmarks to better assess model performance., • Design and implement a scalable and efficient data annotation pipeline to ensure high-quality labeled data for training and evaluation., • Optimize inference efficiency to enable real-time interaction. Areas of Focus, • Scalable Training Systems: Develop and optimize infrastructure for training multimodal LLMs and video diffusion models at massive scale., • Efficient Data Pipelines: Build scalable video data pipelines and annotation frameworks to support high-quality training data., • Inference Optimization: Enhance inference efficiency through optimization and distillation techniques to enable real-time interaction., • Visual Tokenization: Develop methods for discretizing visual features into tokens for improved model representation., • Quantitative Evaluation: Establish rigorous benchmarks to assess physical accuracy, controllability, and intelligence., • Scaling Laws for Video Pretraining: Investigate scaling law principles to guide efficient video pre-training strategies. Academic Qualifications, • MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience. Professional Experience, • Experience in large-scale model training (LLMs or Diffusion Models) on large clusters., • Hands-on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX, etc.)., • Experiences in building and optimizing large-scale video data pipelines., • Experience in accelerating diffusion model inference for improved efficiency., • Exceptional problem-solving and troubleshooting skills to tackle complex technical challenges., • Strong systems and engineering expertise in deep learning frameworks such as PyTorch., • Strong communication and collaboration skills for effective cross-functional teamwork., • Ability to navigate ambiguity and drive projects in rapidly evolving research areas.

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The RoleAs a Research Scientist specializing in Natural Language Processing (NLP) with a focus on large language models and deep learning, your role will be crucial in advancing cutting-edge language processing technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of NLP solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies.Key Responsibilities • Lead the research of technology for improving the efficiency of Large Language Model (LLM) while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training., • Design and implement NLP algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks., • Integrate and improve LLM algorithms to work with other models such as computer vision models, • Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient LLM technology., • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies., • Write up results in design documents, technical reports, and papers for publication., • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation., • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.Academic Qualifications, • Minimum: Master’s in Computer Science, a related technical field, or equivalent practical experience, • Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision)., • Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms., • Excellent problem-solving and troubleshooting skills to address complex technical challenges., • Effective communication and collaboration skills to work with cross functional teams., • Ability to effectively navigate ambiguity.Professional Experience - Preferred, • Experience leading research efforts and influencing other researchers., • Experience with efficiency, modularity or related topics for LLMs., • Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)., • Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile).

Job Description The Market Has Changed. Has Your Brokerage? The real estate landscape is evolving at an unprecedented pace. Strategies that were effective just a year ago are now outdated, leaving agents relying on obsolete models feeling the pressure. If you're ready to thrive rather than merely survive, PRG Real Estate offers a proven path forward. At PRG, we don't just keep pace with the industry—we set the standard. Supported by elite channel partnerships and state-of-the-art systems, we empower our agents with the tools they need to succeed, regardless of market conditions. Why Top Agents Choose PRG Real Estate: 10–15 Warm Showing Listing Opportunities Monthly We don't just promise leads—we deliver genuine opportunities. These are motivated buyers and sellers actively scheduling appointments and ready to proceed. Inside Sales Agents Setting Appointments for You Our team of inside sales agents diligently follows up with leads and books appointments on your behalf. Access to Our Database with Over 40,000 Contacts Gain access to our extensive database of buyer and seller prospects who express interest daily in speaking to an agent. Earn $150k+ with a Clear, Scalable Model Access leads, systems, and coaching to build a six-figure business—without the guesswork. Most agents open 1–3 escrows per month within their first 90 days. Proven Partnerships That Keep You Busy As a preferred partner of Zillow Flex, Zillow Seller Connections, Realtor.com, Opendoor, and Redfin, we provide you with premium opportunities daily. Full-Time Support So You Can Focus on Selling Our dedicated back office manages the admin, marketing, and transaction processes, allowing you to focus on what you do best—closing deals. World-Class Tools Training Access our comprehensive tech stack: CRM, lead management, transaction software, marketing support, KPI tracking, and high-level sales training from day one. Culture of Excellence This isn't just a team—it's a movement. PRG agents operate with focus, accountability, and high energy. We win together, learn together, and grow fast. Our Results Speak for Themselves: • Hundreds of transactions closed annually from online lead sources, outbound marketing, open houses, and a 40,000+ contact database, • A consistent track record of agents achieving six-figure incomes—without burnout The agents succeeding in today's market aren't working harder—they're working smarter, with the right support, systems, and partners. Let's discuss how PRG can elevate your business. Schedule a quick discovery call—we believe you'll be glad you did. Job Type: Full-time Pay: $48,226.91 - $196,492.21 per year Benefits: Flexible schedule Schedule: Monday to Friday Self-determined schedule Weekend availability Supplemental pay types: Bonus pay Commission pay

Job Description About Coresite: At CoreSite, we empower a more connected future through high-performance data centers and interconnection solutions. Recognized as a trusted partner in digital transformation, our strategically located facilities and innovative services enable businesses to connect, collaborate, and grow in an ever-evolving technological landscape. Our culture is defined by operational excellence and a relentless drive for innovation. We foster a collaborative environment where every team member is valued, wins are celebrated as a team, and ownership is part of our DNA. At CoreSite, we’re not just building state-of-the-art infrastructure—we’re creating a community of forward-thinkers committed to solving complex challenges and delivering exceptional customer experiences. At CoreSite not only are we Committed to Excellence, but we also Build Connections, Own It, Do the Right Thing, Have Fun, and Win as a Team. Join us and be part of a team that is shaping the future of digital infrastructure while nurturing your professional growth and success. Senior Sales Engineer Role: The Senior Sales Engineer is responsible for leading the technology evaluation and solution design stages of the sales process and serves as the primary technical advisor and product advocate in close collaboration with the Sales team. This role ensures that CoreSite’s products and service offerings align with customer requirements to drive value and deal success. The Senor Sales Engineer must be able to articulate technical concepts and product positioning to both business and technical stakeholders, while identifying and resolving all technical issues within assigned accounts to ensure complete customer satisfaction and continuity throughout all stages of the sales process. The Senior Sales Engineer evaluates customer requirements and business processes to prepare, present, and promote tailored business solutions, while ensuring the quality and integrity of the overall sales process to support proper implementation and deal profitability. This role requires proficiency in both business operations and the technical aspects of datacenter infrastructure, including mechanical and electrical systems, as well as IP transit and carrier networking. Duties: Customer Engagement • Participate in customer-facing meetings to align strategic objectives and determine business and technical requirements for tailored solution development., • Drive customer confidence and acceptance by articulating value through demonstrated cost savings and operational efficiencies., • Manage assigned accounts and opportunities, ensuring ongoing customer satisfaction, retention, and account growth., • Evaluate customer deployment requests against CoreSite’s data center deployment criteria to determine feasibility., • Prepare and deliver technical proposals, analysis, and architectural design overviews for existing and potential customers., • Lead in-depth product and solution discussions, clearly communicating features and benefits aligned with CoreSite’s service offerings., • Conduct comprehensive assessments of customer IT environments, including network, power, cooling, and space, and design tailored solutions, including on-site walkthroughs., • Develop deep technical expertise in CoreSite’s infrastructure to optimize space and power utilization and propose future improvements., • Prepare cost estimates by both studying blueprints, drawings, and customer-provided documentation, and by consulting with other technical experts as needed., • Promote core space/power solutions and interconnection services (e.g., OCX, Any2), ensuring competitive, value-driven designs that support deal conversion., • Perform technical qualification by actively listening and asking thoughtful, strategic questions to uncover customer needs, technical requirements, and solution readiness., • Develop and maintain deep technical expertise in electrical and mechanical design, built capacity, and design capacity of each computer room, including space, cooling, power, and distribution., • Manage and optimize designs while maximizing leasable square footage., • Select panels for dedicated, shared, and power-through-portal deals, monitoring and managing the case queue daily., • Track panel quantity and balance Power Distribution Units (PDUs) at the computer room level to maintain efficiency and redundancy., • Optimize rack placement and power density to achieve capacity goals for each computer room., • Monitor remaining capacity of each computer room by tracking new leases and customer churn, using CIM reports as a guide, and maintaining ownership of capacity definitions in partnership with CIM., • Partner with Sales teams to define, position, and design tailored technology solutions that meet customer needs and business objectives., • Collaborate on RFP/RFI responses and proposal development. Knowledge, Skills & Abilities: • Ability to thrive in a hybrid work model, with regular onsite presence of up to four days per week., • Ability to travel up to 25%, with the potential for increased travel or in-office presence as business needs evolve, • Strong, in-depth knowledge of data center infrastructure, including mechanical and electrical systems, cloud services, storage technologies, and networking technologies such as multi-gigabit Ethernet and optical solutions, multi-protocol and converged services, IP VPN (MPLS), and Internet/VOIP services., • Strategic and customer-facing, with the ability to identify market opportunities, communicate technical concepts to both technical and non-technical audiences, and guide customers and internal teams toward scalable, efficient solutions., • Exceptional communication, collaboration, and interpersonal skills with the ability to write clearly, present effectively, and build trusted relationships across teams, customers, and vendors., • Self-motivated, highly organized, and results-driven, with strong problem-solving skills and the initiative to manage multiple complex projects, meet deadlines, and deliver high-quality outcomes., • Capable of delivering effective presentations and developing clear documentation, training materials, and technical proposals., • Bachelor's degree in a technical field preferred, or equivalent combination of education and experience., • 5+ years of experience in Sales Engineering, Systems Engineering, or a related IT field., • Data center industry experience strongly preferred. . The physical demands described are representative of those that must be met by an employee to successfully perform the job’s essential functions. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the job’s duties, the employee is occasionally required to stand, walk, sit, use hands to handle or feel objects, reach with hands and arms, climb stairs, balance, stoop or kneel, talk, and hear. The employee must occasionally lift and/or move objects weighing up to 25 pounds. Compensation: Compensation for this role includes a base salary between $149,000 to $155.000 annually. This role is also eligible for an annual bonus and equity, based upon individual and company performance. Benefits Not only does CoreSite have a fun, team-focused work environment, but we also offer great benefits to all employees regularly scheduled to work more than 20 hours a week! • First-day medical insurance through Cigna with generous premium cost coverage, • Dental insurance through Delta Dental, • Vision insurance through VSP, • Telemedicine through MDLive for Cigna, • Healthcare and dependent care flexible spending account (FSA) plans, • Health saving account (HSA) plans for employees participating in the High Deductible Health Plan, • Life, AD&D, short-term disability, and long-term disability insurance fully paid by the company, • Voluntary coverage benefits for supplemental life, critical illness, accident, and hospital insurance, • First-day eligibility for 401(k) savings plan through Fidelity, which includes an attractive matching company contribution with a 5% company match, • Discretionary annual bonus and equity incentive plan, • Employee stock purchase plan (ESPP) with a 15% discount, • 16 days of paid time off (PTO)11 paid company holidays and additional floating holidays, • Additional paid time off for school events, elder care, volunteering, bereavement, jury duty, voting, parental leave and disability leave, • Free parking or a company contribution toward a public transit pass Additional Perks • Wellness Reimbursement Program: Yearly stipend of $500 for employees and $300 for dependents, up to $800 total for the family, • Wellness Incentive Program: Participate in various wellbeing activities to earn up to $450 per year in cash incentives, • Technology Stipend: $100 monthly stipend., • Educational Reimbursement Program: Work-related learning and development with reimbursement on qualifying degree programs, up to $5,250 per year, • Giving Back: Charitable donation matches up to $5,000 per year and nominate organizations for Company Foundation grants, • Financial Management: Access to financial coaching, digital tools and services to manage and pay student loan debt quicker, • Pet Insurance: Keep your furry friends healthy and happy, • Family Planning: Benefits and services related to fertility, pregnancy, menopause, adoption and surrogacy, • Employee Assistance Program: 24x7 service to support family, work, money, health, legal and life challenges, • Counseling and Caregiving Programs: Including access to mental health services, licensed counselors, and caregiving tools including membership for finding care., • Referral Bonus: Receive a $3,000 cash bonus if referred candidate is hired and meets eligibility requirements, • Discounts: Discounts, cash back offers and perks on thousands of brands, • LinkedIn Learning Membership: Support your development when accessing LinkedIn’s online library of courses and videos General Statements - Applicants must be currently authorized to work in the United States on a full-time basis. The employer will not sponsor applicants for work visas. Please note that all offers of employment are contingent upon the successful completion of a background check and, where permitted by law, a 5-panel drug test conducted after the offer letter is signed, which will screen for THC, opiates, PCP, cocaine, and amphetamines. Thank you for your understanding and cooperation. Applicant Privacy Notice: CoreSite is committed to protecting the privacy and security of personal information submitted by applicants. The California Consumer Privacy Act (CCPA) requires us to provide you information about our personal information handling practices. As a result, we’re providing this Privacy Notice that describes how we collect, use, share, and update personal information from individuals who wish to be considered for employment with CoreSite. To read the Applicant Privacy Notice, please go to . Unauthorized reproduction or distribution of this job posting on external sites is prohibited without prior written consent from CoreSite. We are not responsible for any postings or offers not originating from our official channels or approved partners.

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Role OverviewBuild and scale distributed pre-training frameworks· Set up DeepSpeed / FSDP / Megatron-LM across multi-node GPU clusters.· Create robust launch scripts, resilient checkpoints, and job monitoring (e.g. NCCL/GLOO/GPU).Turn mathematical ideas into fast production code· Prototype new optimizers or attention methods (like in PyTorch/NumPy/JAX orothers).· Convert them into efficient CUDA/Triton kernels with custom gradients and tests.Boost training efficiency and stability· Lead mixed-precision training, push bf16, fp8, etc, into daily runs, track their accuracy-vs-speed gains, and be able to analyze numeric stability· Apply kernel fusion, communication tuning, and memory optimization to reach state-of-the-art throughput.Accelerate research velocity· Build logging, metrics, and other experiment-tracking tools for rapid iteration.· Design ablation studies and statistical tests that validate—or refute—new ideas.· Mentor interns and junior engineers through clear async design docs and code reviews.You’ll work side-by-side with researchers, ship production code, and shape the future of large language models.Why You’ll Love This Job· Frontier-scale impact – Train and ship cutting-edge models powering MBZUAI research and industry collaborations.· Research × Engineering blend – Move breakthrough papers into real systems and publish your own results.· End-to-end mastery – Touch everything from petabyte data loaders to custom low-level kernels—experience that’s rare elsewhere.· Open, mission-driven science – Join a transparent culture tackling problems that truly advance AI.· Founding-team growth – Help set direction for IFM U.S. and lead the next generation of AI development.Key Responsibilities· Framework Ownership – Productionize a PyTorch/JAX pre-training stack and keep it reliable at scale.· Custom Optimizer Implementation – Code new algorithms in distributed frameworks directly from mathematical specs.· Experiment Infrastructure – Build reusable modules, logging, and metrics dashboards that speed up research cycles.· Performance Optimization – Apply kernel fusion, communication optimization, and memory management to thousands of GPU jobs.· Distributed Debugging – Rapidly diagnose gradient synchronization, collective-ops, or fault-tolerance issues.· Collaboration – Document designs clearly, run post-mortems, and partner with global research teams.QualificationsMust-Haves· 5 + years combined industry or hands-on research experience with large-scale deep-learning training.· Led at least one large-scale transformer pre-training run· Expert PyTorch or JAX/Flax plus DeepSpeed, FSDP, Megatron-LM, or MosaicML Composer.· Experience with distributed training at scale (100+ GPUs).· Proven multi-node GPU work (Slurm, K8s, or Ray) and NCCL/GLOO debugging.· Strong software engineering skills on large ML codebases· Ownership of mixed- or low-precision paths (bf16, fp8, 4-bit) with accuracy validation.· Clear written communication (design docs, RFCs, post-mortems).Nice-to-Haves· NeurIPS / ICML / ICLR papers or open-source contributions to major ML frameworks.· Experience implementing optimization algorithms (e.g., SGD variants, Adam, second-order methods).· Background in numerical computing.· Ability to translate math and· build high-perf CUDA/Triton kernels.Total compensation target:$300 K – $600 K (base salary + target bonus up to 30 %), commensurate with experience.Visa SponsorshipThis position is eligible for visa sponsorship. Benefits IncludeGenerous paid time off, sick leave and holidaysEmployee Assistance Program*Life insurance and disability

Job DescriptionJob Title: Control engineer Position Type: Full time Location: Santa Clara, CA, USA Salary Range: $150,000 - $230, 000 (USD) Job ID#: 158283 Job Description: We are seeking talented Control Engineers to join our dynamic team and lead the development of state-of-the-art control and state estimation algorithms for our robot platform. Responsibilities * Develop and implement state estimation, sensor fusion, planning, control algorithms that enable fast, dynamic and safe robot motion * Collaborate with cross-functional teams including embedded system, perception, hardware, AI * Optimize control performance across multiple domains including stability, safety, precision, and energy efficiency * Design and conduct experiments to validate control algorithms both in simulation and on hardware * Analyze system performance data to identify failure modes and improvement opportunities * Document technical approaches, implementation details, and experimental results Requirements: * Master's or PhD in Robotics, Controls, Mechanical Engineering, or related technical field * 4+ years of professional experience developing control systems for dynamic robots * Strong expertise in control theory including nonlinear control, model predictive control, and optimal control * Experience with state estimation techniques such as Kalman filters, particle filters, and factor graphs * Proficiency in C++, Python, Rust for real-time robotics applications * Strong understanding of robot kinematics, dynamics, and mathematical modeling * Experience working with sensor integration including IMUs, encoders, force/torque sensors * Proven track record of implementing and testing control algorithms on physical robotic systems • Excellent problem-solving skills and ability to debug complex system interactionsPreferred Requirements: Experience with highly dynamic control systems such as bipedal, quadruped, or humanoid robots * Knowledge of reinforcement learning or other machine learning approaches for control * Experience with whole-body control and contact dynamics for legged systems * Experience with real-time computing and optimization * Background in trajectory optimization and motion planning * Familiarity with ROS, simulation environments (e.g., Drake, Isaac Sim, SAPIEN, MuJoCo, PyBullet) * Track record of publications in top-tier robotics conferences/journals About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at . Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility. Powered by JazzHR pr9a7AfcYl

Job Description Job Title Cabinetry and Countertop Project Manager (Full Time) About Porcelanosa Porcelanosa is firmly positioned at the forefront of the Spanish and international markets thanks not only to our solid values of innovation and quality, but also the trust placed in our large team, made up of almost 5000 skilled professionals, and our commitment to the environment and stakeholders. Porcelanosa products are designed with people in mind, intended to make their lives better and feature the finest state-of-the-art innovations. Boasting over 45 years of experience, Porcelanosa is present in more than 150 countries around the world. Our success is based on a unique business model, built on a solid corporate strategy. Why Work for Porcelanosa? At Porcelanosa, precision, reliability, and excellence are at the core of everything we do—including our kitchen operations. As a Cabinetry and Countertop Project Manager, you’ll play a key role in coordinating design and installation processes to ensure projects are delivered on time, within budget, and in alignment with client expectations and quality standards. If you’re detail-oriented, organized, and eager to grow your career in a fast-paced, collaborative environment, this role offers the perfect opportunity. Join us and become part of a mission-driven team that values integrity, innovation, and continuous improvement. What We Offer • Competitive Compensation – Base salary plus commission opportunities, • 100% 401K match up to 4%, • 3-tier medical insurance, • 2-tier dental insurance, • Vision insurance, • Health Savings Account, • Flexible Spending Accounts, • Short Term andLong-TermDisability, • Employer-paid life insurance, • Voluntary Employee, Spouse and Child Life Insurance, • Critical Illness, Hospital Indemnity and Accident Insurance, • $3,000 Tuition Reimbursement, • Paid Time Off (PTO) Key Responsibilities • Coordinate internal resources and third parties/vendors for the flawless execution of cabinetry and countertop projects., • Ensure that all kitchen projects are delivered on time, within scope, and within budget., • Develop project scopes and objectives, involving all relevant parties., • Ensure schedules are effectively coordinated to support smooth interactions between suppliers and clients., • Provide ongoing support to suppliers as needed to ensure efficient operations., • Install cabinetry at client residences and showroom locations as required, • Manage the complete project lifecycle from planning through installation and completion, • Conduct site visits during installation to ensure quality control and adherence to standards, • Train and support installers as needed to maintain installation quality and efficiency, • Serve as the primary liaison between Porcelanosa factories and suppliers, • Perform accurate on-site measurements to ensure proper fit and installation, • Ensure resource availability and allocation., • Develop a detailed project plan to track progress., • Use appropriate verification techniques to manage changes in project scope, schedule, and costs., • Manage the relationship with the client and all parties., • Perform risk management to minimize project risks., • Establish and maintain relationships with third parties/vendors., • Create and maintain comprehensive project documentation. What You Bring to the Team • Minimum of 2 years of experience in cabinetry and countertop installation, • Experience in design or a related field preferred, • Basic proficiency in cabinetry installation techniques, • Proficient in Adobe applications and Microsoft Office Suite, • Willingness and ability to travel to assigned region/territory - West Coast, US, • Strong communication skills with a commitment to providing solutions for both internal and external customers, • Excellent customer service and interpersonal skills, • Positive, professional attitude with a strong work ethic, • Ability to multitask effectively in a fast-paced environment, • Capable of working independently with minimal supervision, • Strong organizational and time-management skills Commitment to Inclusion Porcelanosa provides equal employment opportunities to all employees and applicants 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. At Porcelanosa, we believe in a skills-first approach to recruitment and employment. This means focusing on what you can do and how you can grow, rather than traditional metrics alone. We are committed to adhering to anti-exclusion practices, removing barriers to access, and enhancing opportunities for all individuals based on merit and potential. Your skills, experiences, and perspective are valuable—and we want to empower you to make your mark here with us. Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Ability to sit or stand for extended periods while working on project plans, reviewing designs, or meeting with clients and teams., • Manual dexterity to operate computers, design software, and handle blueprints or material samples., • Visual acuity to review drawings, read specifications, and inspect project progress accurately., • Mobility to move between offices, showrooms, warehouses, and job sites as needed., • Ability to lift and carry materials or samples (such as cabinets, large panels, boxes or parts, typically up to 100lbs)., • Clear verbal communication and hearing ability to lead meetings, coordinate with contractors, and interact with clients., • Tolerance for varied environments, including active construction sites with dust, noise, and changing temperatures. Schedule: Eight-hour shift Porcelanosa offer is contingent upon Proof of legal authorization to work in the United States for Porcelanosa, which will be confirmed by E-Verify within three business days of your hire date. Work Remotely No remote work available. #IDN123 8:00 AM - 5:00 PM

Job Description About Etched Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary As a core member of the team, you will play a pivotal role in leading a high-performing team to build a suite of optimized kernels and implement highly optimized inference stacks for a variety of state-of-the-art transformer models (e.g., Llama-3, Llama-4, Deepseek-R1, Qwen-3, Stable Diffusion-3 etc.). You will be responsible for managing and scaling a high-performance team to pioneer novel model mapping strategies, while co-designing inference time algorithms (e.g., speculative and parallel decoding, prefill-decode disaggregation etc.). Key responsibilities * Architect Best-in-Class Inference Performance on Sohu: Deliver continuous batching throughput exceeding B200 by ≥10x on priority workloads * Develop Best-in-Performance Inference Mega Kernels: Develop complex, fused kernels (including basics like reordering and fusing, but also more complex work involving simultaneous computation and transmission of intermediate values for sequential matmuls) that increase chip utilization and reduce inference latency, and validate these optimizations through benchmarking and regression-tested in production pipelines. * Architect Model Mapping Strategies: Develop system level optimizations using a mix of techniques such tensor parallelism and expert parallelism for optimal performance. * Hardware-Software Co-design of Inference-time Algorithmic Innovation: Develop and deploy production-ready inference-time algorithmic improvements (e.g., speculative decoding, prefill-decode disaggregation, KV cache offloading) * Build Scalable Team and Roadmap: Grow and retain a team of high-performing inference optimization engineers. * Cross-Functional Performance Alignment: Ensure inference stack and performance goals are aligned with the software infrastructure teams (e.g., runtime, and scheduling support), GTM (e.g., latency SLAs, workload targets) and hardware teams (e.g., instruction design, memory bandwidth) for future generations of our hardware. Representative projects * Develop optimized kernels for multi-head latent attention on Sohu * Develop optimization strategies to optimally hide compute and communication in mixture-of-expert layers * Organize the team to deliver production ready forward pass implementations of new state-of-the-art models within 2-weeks of their release. Build infrastructure to be able to build this in <1 week in the future. You may be a good fit if you have * Experience in designing and optimizing GPU kernels for deep learning on GPUs using CUDA, and assembly (ASM). You should have experience with low-level programming to maximize performance for AI operations, leveraging tools like Compute Kernel (CK), CUTLASS, and Triton for multi-GPU and multi-platform performance. * Deep fluency with transformer inference architecture, optimization levers, and full-stack systems (e.g., vLLM, custom runtimes). History of delivering tangible perf wins on GPU hardware or custom AI accelerators. * Have solid understanding of roofline models of compute throughput, memory bandwidth and interconnect performance. * Experienced in running large-scale workloads on heterogeneous compute clusters, optimizing for efficiency and scalability of AI workloads. * Scopes projects crisply, sets aggressive but realistic milestones, and drives technical decision-making across the team. Anticipates blockers and shifts resources proactively. Strong candidates may also have * Experience with implementation of state-of-the-art reasoning and chain-of-thought models at production scale * Experience with implementation of newer AI compute operations on hardware (e.g., flash attention, long-context attention variants and alternatives) * Analyzed and implemented strategies such as KV-cache offloading for efficient compute resource management * Familiarity with linear algebra (e.g. matrix decomposition, alternatives bases for vector spaces, matrix rank and its implications) * Managed lean, high-performing engineering teams and drove execution on timelines with high quality outcomes Benefits * Medical, dental, and vision packages with generous premium coverage * $500 per month credit for waiving medical benefits * Housing subsidy of $2k per month for those living within walking distance of the office * Relocation support for those moving to San Jose (Santana Row) * Various wellness benefits covering fitness, mental health, and more * Daily lunch + dinner in our office Salary Compensation * $200,000 - $300,000 + significant equity package How we’re different Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

Job Description RTL Design Engineer Building AI chips that are hard-coded for individual model architectures. RTL Design Engineer As an RTL Engineer, you will be critical in ensuring that our AI chips operate correctly and efficiently. You will develop and implement design verification strategies for both our existing and upcoming ASIC designs. In this role, you will work closely with state-of-the-art architectures for machine learning. You do not need to have experience working with these yet, but you will be willing and able to learn quickly. You will work in a fast-paced environment with a high degree of autonomy, and be responsible for a key part of the team's success. Representative projects: • Implement a block to efficiently compute floating point math operators, • Provide feedback to the uArch team to make sure blocks meet timing and area constraints You may be a good fit if you: • At least 5 years of work experience in RTL development., • Experience with high-speed digital logic., • Proficiency in standard RTL design and synthesis tools, • Familiarity with verification work and writing test benches, • Are able to learn quickly about transformers and other aspects of modern artificial intelligence, • Willing to start quickly Strong candidates may also have experience with: • Experience with PCIe, Ethernet, or HBM technologies, • Familiarity with transformer models and machine learning., • Familiarity with numerical representations and functions, • Ability to program with Python or another scripting language

Job Description About Etched Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary As an RTL Engineer at Etched, you will be critical in ensuring that our AI chips operate correctly and efficiently. You will develop and implement design verification strategies for both our existing and upcoming ASIC designs. In this role, you will work closely with state-of-the-art architectures for machine learning. You do not need to have experience working with these yet, but you will be willing and able to learn quickly. You will work in a fast-paced environment with a high degree of autonomy, and be responsible for a key part of Etched’s success. Representative projects * Implement a block to efficiently compute floating point math operators * Provide feedback to the uArch team to make sure blocks meet timing and area constraints You may be a good fit if you * At least 5 years of work experience in RTL development. * Experience with high-speed digital logic. * Proficiency in standard RTL design and synthesis tools * Familiarity with verification work and writing test benches * Are able to learn quickly about transformers and other aspects of modern artificial intelligence * Willing to start quickly Strong candidates may also have experience with (Nice-to-have qualifications) * Experience with PCIe, Ethernet, or HBM technologies * Familiarity with transformer models and machine learning. * Familiarity with numerical representations and functions * Ability to program with Python or another scripting language We encourage you to apply even if you do not believe you meet every single qualification. Benefits * Medical, dental, and vision packages with generous premium coverage * $500 per month credit for waiving medical benefits * Housing subsidy of $2k per month for those living within walking distance of the office * Relocation support for those moving to San Jose (Santana Row) * Various wellness benefits covering fitness, mental health, and more * Daily lunch + dinner in our office How we’re different: Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed. Compensation Range: $150K - $275K

Job DescriptionWho are we? Mission Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization. By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever-increasing data volumes. Used by thousands of users across the world, and backed by prominent investors , we're positioned at the forefront of the AI-powered data engineering revolution. You can read more about us in a recently published venture beat article. Team As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios. What are we looking for? We’re in search of a Full Stack Engineer who thrives on innovation and creative problem-solving across both server-side and client-side technologies. This role is ideal for someone excited to design, build, and maintain the backbone of our AI solutions while also creating intuitive, dynamic user experiences. You’ll be pivotal in enhancing our AI capabilities by developing high-performance back-end systems and integrating advanced AI into daily data workflows. Simultaneously, you’ll craft impactful front-end interfaces, from our React-based SaaS platform to our VSCode extension—offering data professionals a seamless, AI-driven developer experience. Qualifications: * 3+ years of experience building Python-based web application backends (e.g., Flask, FastAPI, Django) and the infrastructure on which they run * 5+ years of experience designing and developing scalable back-end systems, APIs, and microservices * Strong proficiency in JavaScript/TypeScript and React for building user-facing applications * Hands-on expertise in front-end tooling and libraries (Webpack, Babel, Redux, etc.), with a focus on responsive design, usability, and performance optimization * (Desirable) Working knowledge of static code analysis of SQL * (Desirable) Experience developing and extending VSCode extensions in JavaScript/TypeScript * (Desirable) Familiarity with AI and machine learning concepts * (Desirable) Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) * (Desirable) Involvement in open-source projects Why you should join Altimate AI Projects You'll Work On: * Backend Integration of LLM Architectures: Lead the development and maintenance of the backend infrastructure that powers state-of-the-art Large Language Model (LLM) architectures, including RAG, ReAct, and Agent-based systems. Architect data pipelines for processing extensive datasets and devise AI-powered endpoints crucial for our SaaS application and VSCode Extension. * Front-End Development for DataPilot Build and enhance intuitive, user-friendly interfaces in React for our browser-based SaaS platform. Ensure seamless interactions with our AI backend and deliver an exceptional user experience to thousands of data professionals worldwide. * VSCode Extension Develop and maintain our VSCode extension (JavaScript/TypeScript) to bring AI-driven functionalities directly into developers’ IDE workflow. Focus on smooth integration, performance, and developer experience. * Graph-Based Data Structure Design: Design and develop large-scale graph-based data structures that effectively model complex data stores. Create intricate, efficient structures that can be fed to our AI applications as context, ensuring both scalability and performance. Impact: * Innovation at the Forefront: Push the boundaries of software engineering by combining traditional techniques with cutting-edge AI technologies. * High Visibility & Impact: Directly affect the productivity and capabilities of global data teams, as your contributions will be crucial to the daily operations of thousands of users spread across 100s of countries. * Open Source Contribution: As part of our commitment to the developer community, you will contribute to our open-source initiatives, gaining recognition in the tech community. * Career Growth: This role is a launchpad into the rapidly advancing field of AI, offering exposure to state-of-the-art technologies and generative AI applications. What We Offer * Competitive salary and equity * Base Salary Range: $130,000 - $180,000 [influenced by your expertise, where you live, how the interview goes, and how well you match the role] * Equity: 0.0% - 0.2% * Extensive professional development opportunities and resources for continuous learning * Dynamic and intellectually stimulating work environment with a team of talented engineers * Opportunities to shape the direction of the company and leave a lasting impact How to Apply If this sounds like the perfect role for you, we can't wait to meet you! Apply now and let's build something amazing together.

Job Description Architecture Intern - Inference Location: San Jose, CA Team: Architecture About Etched Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. The role We are seeking a talented Architecture intern to join our team and contribute to the design of next-generation AI accelerators. This role focuses on developing and optimizing compute architectures that deliver exceptional performance and efficiency for transformer workloads. You will work on cutting-edge architectural problems and performance modeling over the course of your internship. Key responsibilities * Support porting state-of-the-art models to our architecture. Help build programming abstractions and testing capabilities to rapidly iterate on model porting. * Assist in building, enhancing, and scaling Sohu’s runtime, including multi-node inference, intra-node execution, state management, and robust error handling. * Contribute to optimizing routing and communication layers using Sohu’s collectives. * Utilize performance profiling and debugging tools to identify bottlenecks and correctness issues. * Develop and leverage a deep understanding of Sohu to co-design both HW instructions and model architecture operations to maximize model performance * Implement high-performance software components for the Model Toolkit You may be a good fit if you have * Progress towards a Bachelor’s, Master’s, or PhD degree in computer science, computer engineering, applied mathematics, or a related field * Proficiency in Python, C++ * Understanding of performance-sensitive or complex distributed software systems, e.g. Linux internals, accelerator architectures (e.g. GPUs, TPUs), Compilers, or high-speed interconnects (e.g. NVLink, InfiniBand). * Ported applications to non-standard accelerator hardware or hardware platforms. * Deep knowledge of transformer model architectures and/or inference serving stacks (vLLM, SGLang, etc.) Strong candidates may have some experience with: * Proficiency in Rust * Low-latency, high-performance applications using both kernel-level and user-space networking stacks. * Deep understanding of distributed systems concepts, algorithms, and challenges, including consensus protocols, consistency models, and communication patterns. * Solid grasp of Transformer architectures, particularly Mixture-of-Experts (MoE). * Built applications with extensive SIMD (Single Instruction, Multiple Data) optimizations for performance-critical paths. * Familiarity with PyTorch or JAX. * Math competitions (AIME, AMC, etc) We encourage you to apply even if you do not believe you meet every qualification. Program details: * 12-week paid internship (June - August 2026) * Generous housing support for those relocating * Daily lunch and dinner in our office * Based at our office in San Jose, CA * Direct mentorship from industry leaders and world-class engineers * Opportunity to work on one of the most important problems of our time For any questions, contact . How we’re different Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs. We are a fully in-person team in West San Jose, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed. Etched is an equal opportunity employer. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Description About Etched Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Building cutting-edge model-specific ASICs requires crafting custom infrastructure and toolchains to support ultra-fast, reliable, and scalable development across the stack - from simulation to silicon. We build this infrastructure as software - and we engineer it with the same best practices we apply to our products. We use the same rigor, design discipline, and quality standards and testing as we do to our ASIC, software, and platform. You will lead the development and adoption of next-generation infrastructure tooling, enabling Etched ASIC, Software, and Platform engineers to iterate faster, build more reliably, and push the boundaries of AI performance. This includes building and scaling our hybrid high-performance compute (HPC) cluster, optimized for massively parallel CI, EDA workflows, Emulation, and hardware-aware job execution. You’ll also architect and implement a state-of-the-art observability stack with LLM integration and a strong emphasis on streaming health and performance telemetry, log aggregation, distributed tracing, insight generation, synthetic testing, and smart alerting - across CI pipelines, simulation clusters, and service endpoints. This role demands a strong software engineering mindset, quality instincts, and deep understanding of systems. It’s not just about writing scripts - it’s about writing code that builds and manages infrastructure with precision, repeatability, and intent. Key responsibilities * Architect and Scale Distributed Compute Systems: Design and build the orchestration layers that drive our hybrid high-performance clusters—enabling simulation, synthesis, and continuous integration of AI ASICs at unprecedented scale. * Build Infrastructure-as-Code Systems: Develop and maintain a fully programmable infrastructure control plane to ensure reproducibility, auditability, and rapid iteration across the entire stack. * Optimize End-to-End Developer Experience: Create tools and abstractions that empower engineers to harness massive parallelism without worrying about the underlying complexity.. * Workload Elasticity, Reliability, and Efficiency: Prototype and execute workload orchestration and migration strategies between on-premise and cloud environments, balancing performance, storage availability and replication, uptime, and cost across heterogeneous hardware and compute backends. * Implement real-time telemetry, tracing systems that surface insights from millions of metrics, enabling proactive debugging and system optimization. * Push the Limits of Observability: Build a full observability stack that includes dashboards, alerting, automated responses, and a synthetic testing framework to proactively test infrastructure performance and reliability for various application and data flows, ensuring we remain proactive against issues impacting development and productivity workflows. Representative projects * Design and deploy a fully automated, scalable hybrid HPC cluster, combining bare-metal servers and switches with cloud instances, provisioned through MaaS and orchestrated via SLURM and Kubernetes, optimized for mixed EDA workloads and parallel CI pipelines. * Develop a real-time observability system for ASIC toolchain jobs and distributed builds, integrating Prometheus, Grafana, and VictoriaMetrics with streaming telemetry, tracing, and alerting to detect performance regressions before they hit silicon. * Architect and implement a programmable infrastructure-as-code control plane, using Terraform, Ansible, and Puppet, to version, audit, and redeploy every layer of Etched's development stack with deterministic reproducibility. * Create a zero-downtime interactive development environment that provisions and connects Jupyter and VS Code sessions to GPUs and high-memory nodes via a secure zero-trust network, abstracting away cluster state and machine failures. * Prototype and evaluate dynamic workload migration strategies between on-premise and cloud environments to optimize for latency, reliability, and cost across simulation and synthesis pipelines. * Design a synthetic testing and fault injection framework to validate the behavior of infrastructure under high-load, degraded hardware, and intermittent network partitions - before they happen in production. You may be a good fit if you * Are a systems-minded software engineer who loves building foundational platforms, working close to the metal and cloud, solving high-leverage problems at scale. * Are a deeply technical engineer who treats infrastructure as a software problem - prioritizing clean abstractions, version control,small change lists, easy roll backs, testing, and long-term maintainability over ad hoc configuration. * Have strong programming skills in languages such as Python, Go, Rust, and C++, and are comfortable building production-grade tooling. * Possess expert-level knowledge of Linux, virtualization, containerization, and CI/CD pipelines, with a deep understanding of how to debug, optimize, and scale complex systems. * Are familiar with Infrastructure as Code tools like OpenTofu, Ansible, or Puppet, and enjoy designing declarative, reproducible infrastructure systems. * Understand and use PromQL and other telemetry/query languages and have used LLM to extract insight from real-time metrics, and know how to architect and tune observability stacks. * Have a track record of debugging and resolving difficult hardware-software integration problems across bare-metal systems, networks, and distributed workloads. * Can lead and mentor technical teams, guiding design decisions and helping others develop sound engineering instincts. * Have 8+ years of experience in infrastructure engineering, systems programming, or backend software development - ideally in environments where performance, scale, or hardware interaction mattered. * Are driven by curiosity, take initiative, and have an innate sense of ownership — you thrive in uncharted territory, design for edge cases, and love making systems more powerful, reliable, and elegant. Strong candidates may also have experience with * Familiarity with Bazel build system * Deep understanding of ASIC development flows, especially those involving Synopsys, Cadence, and Verilator, including how EDA tools interact with infrastructure for simulation, synthesis, and verification. * Hands-on experience architecting systems with AWS, GCP, or Azure, including hybrid on-prem/cloud deployments, workload migration strategies, and cloud-native orchestration tooling. * Experience monitoring, provisioning, and debugging bare-metal servers, network hardware, and high-performance storage systems in rack-scale environments. * Comfortable in profiling and optimizing compute environments for single-threaded latency, memory-bound workloads, or I/O throughput, especially in the context of simulation or CI performance. * Proficiency building or operating telemetry systems at scale using Prometheus, Grafana, Loki, VictoriaMetrics, and tools for distributed tracing, log aggregation, and real-time alerting across heterogeneous mediums (SMS, email, push alerts, etc.) Benefits * Medical, dental, and vision packages with generous premium coverage * $500 per month credit for waiving medical benefits * Housing subsidy of $2k per month for those living within walking distance of the office * Relocation support for those moving to San Jose (Santana Row) * Various wellness benefits covering fitness, mental health, and more * Daily lunch + dinner in our office How we’re different Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed. Compensation Range: $150K - $250K

Job Description Special Education Teacher Intern About Morgan Autism Center Morgan Autism Center provides a safe, nurturing, and joyful environment where individuals impacted by autism or other developmental disabilities are accepted and celebrated for who they are. Founded in 1969, the focus is on creating respectful and positive interactions to maximize the potential of each student and client. Morgan Autism Center offers school and adult day programs and is an important resource for families and professional service providers throughout the Bay Area. Their flexible, comprehensive, and highly individualized approach has evolved into a model successfully adopted and implemented in located school districts. For more information, please visit Position Overview The Special Education Teacher Intern is responsible for the management of their classroom including student and staff management. They design and implement curriculum, student individualized education plans (IEPs), behavior plans, and collaborate closely with parents and other members of the program team including instructional aides, speech therapists, occupational therapists and administration. Reporting Relationships This position reports directly to a School Program Director Key Responsibilities Classroom Structure, Curriculum, and Organization • Design and implement enriching and meaningful curriculum and activities focused on functional skills while addressing each student’s IEP goals (community outings, art projects, cooking, special activities), • Support classroom team in maintaining ongoing data tracking systems regarding behavior, goal progress, and any other areas needed for all students and provide quarterly progress reports, • Design and maintain effective physical and program organization in alignment with the Morgan Autism Center Model (e.g., daily schedules for students and staff, daily/weekly routines, 15-minute rotation model, and other classroom systems), • Support all students and staff in use of multi-modal communication strategies (e.g., visual first-then schedules, task analyses, social stories, daily schedules, AAC devices, basic sign language, and any other supports needed), • Provide ongoing support and teaching for all activities of daily living (e.g., toileting, personal hygiene, maintaining safety, and other areas as needed), • Maintain and demonstrate the MAC model of positivity, compassion, and collaboration at all times, • Direct participation in all daily activities, including physical education, community outings, special events, art, music, etc., • Supervise, coach and manage (including training and evaluations) a team of 7 - 8 instructional aides in executing program model and philosophy, • Model and maintain a healthy and effective team dynamic among classroom staff, • Train and/or assist in training of classroom staff, • All program development, student supports planning and implementation must align with the philosophy of the Morgan Autism Center model, • Develop and implement all IEPs for each student on their caseload (e.g., annual, triennial, transition, exit, etc.) in collaboration with all IEP team members (parents, group home, OT, SLP, admin, etc.), • Design and implement effective behavior intervention plans for all students, based on analysis of recorded data, • Conduct pre-IEP meetings with parents and service providers to discuss direction and development of IEP prior to district IEP meeting, • Maintain consistent and thorough communication and collaboration with all IEP team members (parents, group home, OT, SLP, admin, etc.), including individualized daily communication to classroom parents, • Maintain professional relationships with school districts, regional centers and other professional agencies, • Attend and participate in training on the Morgan Autism Center Model, • Attend all in-services provided by Morgan Autism Center, • Current Education Specialist Credential (moderate to severe), • Open to those who may have an intern credential, an emergency credential, and/or currently enrolled in a teaching credential program., • Ability to read and write English at a professionally appropriate level, • Ability to navigate pertinent technology (e.g., computers, tablets, Boardmaker, etc.), • Ability to physically engage with all elements of programming (e.g., daily PE, vocational tasks, physical support for students, etc.), • Experience working as a credentialed teacher in a special ed classroom, • Remain enrolled and in good standing with Credential Program, including completing all requirements thereof While performing the essential functions and responsibilities of this job, the employee is regularly required to stand, walk, sit, and reach with hands and arms and speak and hear effectively. The employee must regularly lift and/or move up to 40 pounds and occasionally lift and/or move up to 50 pounds. Salary and Position Classification • Exempt Position, • Full-Time, • $75,705 Benefits • Medical, Dental, Vision (Employee paid 100%), • Life Insurance and Long-Term Disability., • Retirement 403a & 403b. Schedule • Monday to Friday (8:15 AM - 3:30 PM), • 210 workdays (View Work Calendar HERE), • Occasional Off-hour work is required Location In-person DEI Statement It is Morgan Autism Center’s intent to provide equal employment opportunities to all qualified persons without regard to race, color, religion, sex, gender identity and expression, genetic characteristics, pregnancy, marital status, veteran status, sexual orientation, age, national origin, ancestry, disability, medical condition, or other protected class status as defined by applicable law. This policy covers all employment matters, including but not limited to recruitment, selection, placement, promotions, transfers, demotions, terminations, training and compensation. DEI Statement It is Morgan Autism Center’s intent to provide equal employment opportunities to all qualified persons without regard to race, color, religion, sex, gender identity and expression, genetic characteristics, pregnancy, marital status, veteran status, sexual orientation, age, national origin, ancestry, disability, medical condition, or other protected class status as defined by applicable law. This policy covers all employment matters, including but not limited to recruitment, selection, placement, promotions, transfers, demotions, terminations, training and compensation. Powered by JazzHR 7yiw7yZel9

Job DescriptionAbout Us: Impact Dojo is a young, innovative company revolutionizing the way martial arts is taught to children and adults. Founded in 2015 in the Chicagoland area, Impact Dojo has experienced tremendous growth and is looking for the right people to join its team. Who We Are Looking For: Impact Dojo is seeking a highly motivated, energetic, professional black belt instructor who believes deeply in the organization’s mission and who displays a record of achievement in effective supervision & management of youth, teaching martial arts skills and techniques, building positive relationships, and ensuring the safety and well-being of people of all ages. We are a growing corporation and need an instructor who has experience working with children between the ages of 4 and 18. The ideal candidate would be a martial artist with considerable skill in an art form compatible with karate and be passionate about teaching martial arts. This individual must provide constructive criticism, implement company curriculum, and be a team player. Also demonstrate outstanding communication skills with children and their parents, which include the ability to use clear, concise, and grammatically correct written and oral language in all aspects of professional interaction with students, their families, peers, the leadership team and the larger community. A Child abuse clearance and criminal checks are required. Experience Requirements: A Minimum of 2 years of previous experience working with children; examples include but are not limited to: academic/athletic tutoring, camp counselor, and youth volunteer. Martial Arts teaching experience (1 – 5 years minimum) required. Certification Requirements: Teaching certification (preferred but not required) Education Requirements: Bachelor’s degree (preferred but not required) Essential Job Responsibilities: The Martial Arts Instructor is responsible for the supervision of students, giving martial arts-specific instruction, providing a safe and fun learning environment, and serving as a positive role model for students. • Provide daily martial arts instruction to students between the ages of 4 and 18 with different ability levels., • Demonstrate martial arts techniques, explaining the principles behind them, observe and assess students performing martial arts, and give them feedback on their progress., • Group supervision of students with attention to: behavior and group management, health and safety, security, and personal and skill development., • Ensure the safety of students and team members in and out of the martial arts area, and teach safe training habits. Enforce all martial arts rules and regulations., • Organize and prepare daily lesson plans in a fun and creative manner., • Use effective classroom management skills to lead the activity and effectively create a fun environment where everyone feels included., • Work effectively with fellow Activity Specialists and collaborate on daily responsibilities. Serve as a positive role model to students., • Follow the Impact Dojo Code of Conduct and maintain the Impact Dojo look at all times., • Exhibit Impact Martial Arts Core Values at all times and adhere to all company policies., • Knowledge and ability in your martial arts discipline., • Understand and support the mission of the organization., • The ability to work effectively with others in all levels of the organization in a professional manner., • Positive attitude and commitment to the growth and development of youth., • Commitment to producing consistent, high-quality work, and commitment to the growth of the organization. Excellent judgment, ability to identify problems and works quickly to find solutions., • Patient, caring, and creative., • Flexible, adaptive, and a team player. Be willing to travel. Ability to respond to emergency situations that may require running and climbing stairs. Good physical condition which enables candidate to execute all responsibilities associated with this position. Powered by JazzHR ww2ZQyP1kN

Job DescriptionCompany Description Company Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Job Description In this AI/ML ASIC Architecture position, you will develop AI Storage Solutions based advanced system architectures and AI/ML Accelerator ASIC architecture specifications for Sandisk’s next generation products. You will drive, initiate, and analyze frontend architecture of the AI/ML Accelerator product. As an AI/ML ASIC Architect you will help drive new architecture initiatives that leverage the state-of-the-art frontend interfaces like UCIe, PCIe, CXL, etc that integrates AI Storage Solutions with xPU in a 3D package system. You will drive the AI Storage Solutions based architecture. You will exercise your technical expertise and excellent communication skills to collaborate with design and product planning with an eye towards delivering innovative and highly competitive adaptive accelerators solutions. Typical activities include writing architecture spec, working with other architects in the team, work with RTL/DV/Simulation/Emulation/FW teams to evaluate these changes and assess the performance, power, area, and endurance of the product. You will work closely with excellent colleague engineers, cope with complex challenges, innovate, and develop products that will change the data centric architecture paradigm. Essential Duties and Responsibilities: • Responsible for driving the AI/ML ASIC architecture that integrates the AI Storage with GPU/TPU/xPU accelerators, with a particular focus on I/O subsystems connected over UCIe/ PCIe/CXL, • Author architecture specifications in clear and concise language for AI/ML xPU based Accelerator using AI Storage Solutions., • Define I/O subsystem and PCIe DMA architectures, including their interactions with internal embedded processor-subsystems, Network on Chip, Memory controllers, and FPGA fabric., • Create flexible and modular I/O subsystem architectures that can be deployed in either Chiplet, monolithic or 3D form factors., • Work with customers, and cross-functional teams to scope SoC requirements, analyze PPA tradeoffs, and then define architectural requirements that meet the PPA and schedule targets., • Define SoC subsystem and DMA hardware, software, and firmware interactions with embedded processing subsystems and SoC CPUs on the device side and Host CPUs., • Author architecture specifications in clear and concise language. Guide and assist pre-silicon design/verification and post-silicon validation during the execution phase., • Responsible for improving the AI/ML ASIC Architecture performance through hardware & software co-optimization, post-silicon performance analysis, and influencing the strategic product roadmap., • Work with customers, and cross-functional teams to scope SoC requirements, analyze PPA tradeoffs, and then define architectural requirements that meet the PPA and schedule targets., • Guide and assist pre-silicon design/verification and post-silicon validation during the execution phase., • LLM Workload analysis and characterization of ASIC and competitive datacenter and AI solutions to identify opportunities for performance improvement in our products., • Experience architecting one or some components of AI/ML accelerator ASICs such as HBM, PCIe/UCIe/CXL, NoC, DMA, Firmware Interactions, NAND, xPU, fabrics, etc, • Drive the AI Storage Solutions frontend system architecture with GPU/TPU/NPU/xPU to match or exceed the nextgen HBM bandwidth, • Architect memory-efficient inference/training systems utilizing techniques like pruning, quantization with MX format , continuous batching/chunked prefill, and speculative decoding, • Collaborate with internal and external stakeholders/ML researchers to disseminate results and iterate at rapid paceQualifications Required: • Bachelors or Masters or PhD in Computer/Electrical Engineering with 15+ years of hands-on Architecture experience authoring specifications, • Strong technical background architecting ASIC, SoC, or I/O subsystems involving PCIe/UCIe/CXL and DMA engines, • Knowledge of I/O Subsystem and DMA interactions with internal embedded processor-subsystems (x86, RISC-V or ARM) and external host CPU, • Good understanding of computer/graphics architecture, ML, LLM, • Architecting an GPU/TPU/xPU Accelerator systems with optimized high bandwidth memory hierarchy and frontend architecture for multi-trillion parameter LLM training/inference including Dense, Mixture of Experts (MoE) with multiple modalities (text, vision, speech), • KV cache optimization, Flash Attention, Mixture of Experts, • Deep experience optimizing large-scale ML systems, GPU architectures, • Proficiency in principles and methods of microarchitecture, software, and hardware relevant to performance engineering, • Familiarity and background in UCIe, CXL, NVLink, or UAL microarchitecture and protocols is a plus, • Familiarity with High-speed networking: InfiniBand, RDMA, NVLink is a plus, • Expert knowledge of transformer architectures, attention mechanisms, and model parallelism techniques, • Multi-disciplinary experience, including familiarity with Firmware and ASIC design, • Expertise in CUDA programming, GPU memory hierarchies, and hardware-specific optimizations, • Proven track record architecting distributed training systems handling large scale systems, • Previous experience with NVMe storage systems, protocols, and NAND flash – advantage Additional Information Sandisk 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. Sandisk 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. Sandisk 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 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 05/25/2026 (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. #LI-KH1 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., • You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, 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 Sandisk'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 Sandisk's 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.

Job DescriptionCompany Description At Lucile Packard Children’s Hospital Stanford, we know world-renowned care begins with world-class caring. That's why we combine advanced technologies and breakthrough discoveries with family-centered care. It's why we provide our caregivers with continuing education and state-of-the-art facilities, like the newly remodeled Lucile Packard Children's Hospital Stanford. And it's why we need caring, committed people on our team - like you. Join us on our mission to heal humanity, one child and family at a time. Job ID: LP_00017628-2296 Job Description JOB SUMMARY This paragraph summarizes the general nature, level and purpose of the job. The Nurse Manager (Patient Care Manager) is a Registered Nurse who provides unit leadership and works in partnership with nursing, the healthcare team, hospital/system leaders to develop a quality practice setting that support professional nursing and quality patient care. The Nurse Manager is accountable for the effective delivery of competent, compassionate, and efficient patient care on a 24-hours a day, seven days a week basis. Responsibilities include coordination of patient care; supervision of a professional team that includes multiple nursing and other staff as appropriate; administrative and budget management; troubleshooting of problem areas; organizational change management; ensuring compliance with accreditation and regulatory standards; quality assurance/quality improvement; safety and risk management requirements as well as actualization of hospital and unit policies, goals and objectives. Further, improving unit operations, enhancing communication and feedback, customizing education and staff roles, and accepting organizational accountability for services provided to recipients are critical outcomes expected of this role. The Nurse Manager role is critical to hospital operations and minimally accomplishes the following essential duties: ESSENTIAL FUNCTIONS The essential functions listed are typical examples of work performed by positions in this job classification. They are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Employees may also perform other duties as assigned. Employees must abide by all Joint Commission Requirements including but not limited to sensitivity to cultural diversity, patient care, patient rights and ethical treatment, safety and security of physical environments, emergency management, teamwork, respect for others, participation in ongoing education and training, communication and adherence to safety and quality programs, sustaining compliance with National Patient Safety Goals, and licensure and health screenings. Must perform all duties and responsibilities in accordance with the hospital's policies and procedures, including its Service Standards and its Code of Conduct. Clinical Practice: • Ensures the effective delivery of competent, compassionate, and efficient patient care by planning, organizing, and directing the nursing services of unit(s), including the assessment of patients, implementation of physicians' orders, treatment plans and medical procedures, administration of medication and record keeping of same as well as by monitoring and evaluating patient care processes and outcomes for the patient care unit(s); coordinates nursing activities with those of other services or disciplines., • Demonstrates clinical competency in assigned specialty area role models nursing practice consistent with the organizational and department mission, vision and values. Communication: • Communicates in a clear and effective manner to enhance team effectiveness, manage conflicts, engage employees and interdisciplinary colleagues in unit activities and performance changes., • Collaborates with others within the unit and with all hospital departments and disciplines to enhance problem solving, decision making and performance improvement. Fiscal Accountability: • Plans and forecasts the department budget by calculating required FTES, planning annual budgets, interpreting payroll and other key fiscal reports, projecting workload as well as monitoring and enhancing productivity., • Performs variance analysis by interpreting financial performance and identifying key drivers., • Identifies unit/capital budget needs in collaboration with physician and nursing colleagues., • Plans and implements staff scheduling, position controls and attendance control procedures. Human Resources: • Directs the personnel management of the employees assigned to the department consistent with state and federal labor laws, collective bargaining agreements, and nursing service and hospital philosophy, goals and policy., • Ensures that new staff is interviewed, hired, trained, oriented, precepted and evaluated., • Prepares and conducts employee performance appraisals., • Approves transfers, promotions and other decisions affecting employee pay and status., • Participates in initiating and documenting disciplinary actions and responding to grievances. Leadership: • Assumes twenty four (24) hour responsibility and accountability for the operation of the assigned patient care unit(s), service(s), staff, and facilities. Plans, organizes and directs short and long term departmental activities in accordance with hospital goals and accrediting organization standards., • Provides leadership and direction for the staff in the patient care unit(s) while supporting and actualizing the goals of the department, division, service, and hospital., • Functions as a resource to staff and interdisciplinary team members and interdepartmentally, consults on nursing care and professional nursing practice. Performance Improvement: • Assumes responsibility for accessing and utilizing appropriate date in order to monitor unit operations., • Accountable for achieving patient and staff satisfaction targets for the organization and unit of responsibility., • Develops, implements and evaluates process improvement projects/process in order to continually monitor and improve patient care. Professional Development: • Facilitates professional development and clinical growth of nursing staff through implementation and maintenance of unit specific competencies., • Promotes and facilitates educational opportunities based on assessment of staff needs. Quality Management: • Supports the quality framework, which includes both clinical and service quality indicators. MINIMUM QUALIFICATIONS Any combination of education and experience that would likely provide the required knowledge, skills and abilities as well as possession of any required licenses or certifications is qualifying. Education: Bachelor of Science in Nursing (BSN) from an accredited college or university Experience: Three (3) years of progressively responsible and directly related work experience License/Certification: These are the observable and measurable attributes and skills required to perform successfully the essential functions of the job and are generally demonstrated through qualifying experience, education or licensure/certification. • Ability to contribute to health care policy formulation when working in partnership with a multidisciplinary team of health care providers., • Ability to delegate responsibly to others, activities according to ability, level of preparation, the standards of practice and regulatory guidelines., • Ability to develop programs and lead process improvement projects., • Ability to establish the strategic direction and business plans for a functional group., • Ability to initiate and implement change conducive to the improvement of the quality and safety of patient care delivery., • Ability to provide leadership, influence others to meet patient needs and achieve shared goals, to effectively prioritize system resources to provide quality and valued patient care, promote cooperative behaviors, act as a role model, resource and mentor., • Ability to supervise, coach, mentor, train, and evaluate work results., • Ability to use information and keep abreast of developments in technology to communicate, manage knowledge, mitigate error, and support decision-making in patient care., • Knowledge of current theories, principles, practices, standards, emerging technologies, techniques and approaches in the nursing profession, and the health care system, and the responsibility and accountability for the outcome of practice., • Knowledge of laws, rules and regulations; standards and guidelines of certifying and accrediting bodies; hospital and department/unit standards, protocols, policies and procedures governing the provision of nursing care in the area of assignment., • Knowledge of principles and practices of organization, administration, fiscal and personnel management essential to the practice of nursing in the larger context of health care., • Knowledge of principles, practices and current trends in health care and hospital system organization and administration sufficient to provide clinical management, leadership, coordination, and operational direction for assigned areas of responsibility. PHYSICAL REQUIREMENTS The Physical Requirements and Working Conditions in which the job is typically performed are available from the Occupational Health Department. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of the job. Additional Information Pay Range Compensation is based on the level and requirements of the role. Salary within our ranges may also be determined by your education, experience, knowledge, skills, location, and abilities, as required by the role, as well as internal equity and alignment with market data. Typically, new team members join at the minimum to mid salary range. Minimum to Midpoint Range (Hourly): $92.23 to $115.29 Stanford Medicine Children's Health (SMCH) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SMCH does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements, and where applicable, in compliance with the San Francisco Fair Chance Ordinance.

Job DescriptionDescription: LGTC Group is hiring a Milieu Counselor for its Eating Disorder PHP/IOP program in Campbell, CA As a Milieu Counselor, you will be responsible for assisting and supporting clients through the entire treatment experience from admission through discharge. You will work daily with our clients and be responsible for: Contributing insightful, practical and meaningful information to support the client’s behavior, mood and healing process Role-modeling appropriate and supportive behavior based on your training and experience Supporting our clients in their journey to a healthier and more productive life Milieu Counselors can become part of the client’s major support system, and as such, derive great satisfaction from making a powerful difference in their lives. Counselors manage crisis situations such as emotional breakdowns and more. Counselors are empowered to be creative in their approach as personal strengths, skills and passions (e.g. yoga, art, hobbies…) may be integrated into our program. Responsibilities Greeting new clients and introducing them to their primary treatment team Facilitating therapeutic meals during program Contributing to the well-being of all clients by serving as a positive role model, demonstrating appropriate dress, grooming, communication and positive behavior in a professional, warm and caring manner, and if the client needs to “check in,” helps the client to engage in positive coping skills Facilitating the treatment plan set forth by the Therapist by providing day-to-day support Responsibility for running therapeutic groups including education on coping skills, relapse prevention, DBT, psycho education, life skills, etc. Participating in a weekly multi-disciplinary team meetings Understanding and maintaining the confidential nature of all client and program related activities Attending all training, education and staff enrichment activities Support client and patient intake and registration processes Qualifications Bachelor’s degree (B.A.) from four-year college or university One year experience working with children, mental health, counseling, or eating disorder field preferred Requirements: Responsibilities Greeting new clients and introducing them to their primary treatment team Determining whether the new client has any special needs, communicating those needs to the treatment team and assisting in making sure the needs are met Eating together during meal times Contributing to the well-being of all clients by serving as a positive role model, demonstrating appropriate dress, grooming, communication and positive behavior in a professional, warm and caring manner, and if the client needs to “check in,” helps the client to engage in positive coping skills Facilitating the treatment plan set forth by the Therapist by providing day-to-day support Responsibility for running therapeutic groups including education on coping skills, relapse prevention, DBT, psycho education, life skills, etc. Assisting the Program Director as needed Assisting Therapists in the discharge process by helping the client transition home Participating in a weekly multi-disciplinary team meetings Sharing vital information of the client’s progress with the treatment team Understanding and maintaining the confidential nature of all client and program related activities Dedicating to personal growth by pursuing educational and personal growth plans and encouraging others to do the same Attending all training, education and staff enrichment activities Support client and patient intake and registration processes Qualifications Bachelor’s degree (B.A.) from four-year college or university One year experience working with children, mental health, counseling, or eating disorder field preferred Must attend all training, education, and staff enrichment activities

Job DescriptionCompany Description We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch • Reinvent yourself: At Bosch, you will evolve., • Discover new directions: At Bosch, you will find your place., • Balance your life: At Bosch, your job matches your lifestyle., • Celebrate success: At Bosch, we celebrate you., • Be yourself: At Bosch, we value values., • Shape tomorrow: At Bosch, you change lives. The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70-billion-euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from Bosch AI research in Silicon Valley, we are responsible for pushing the boundaries of GenAI and foundation models through key innovations to solve complex industry problems, and shape the future user experience of Bosch products for both internal and external users in the fields of AI agent, 3D Vision, Advanced Driver Assistance Systems, etc. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as ACL, EMNLP, CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI and CoRL. Job Description In this internship, you will conduct research on Large Language Model (LLM) and Agentic AI to address academic and industrial challenges. A few of your key responsibilities will include: • Collaborate with mentors and other colleagues to integrate the developed methods into prototype systems for Bosch applications such as AI agents, RAG, engineering assistance, information extraction, etc., • Summarize research findings in high-quality NLP conference papers (e.g., ACL, EMNLP, NAACL, AAAI, NeurIPS) and/or patent submissions. Qualifications Basic Qualifications • Currently enrolled and pursing a Ph.D. or Master in Computer Science or Computer Engineering, • Strong research experience in natural language processing, machine learning, and related fields., • Hands-on experience on large language models, including training, fine-tuning, and prompting., • Hands-on experience on state-of-the-art NLP / AI libraries and toolkits, • Good communication and team-working skills, • Publication record in top NLP or machine learning venues (e. g. ACL, EMNLP, AAAI, NAACL, TACL)., • R&D experiences on LLM based agents, task planning / decomposition, and reasoning., • R&D experiences on retrieval-augmented generation., • R&D experiences on multi-modal foundation models., • R&D experiences on reinforcement learning Additional Information The U.S. base salary range for this intern position is $39.00 - $64.00. Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.* BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives · FIRST Robotics (For Inspiration and Recognition of Science and Technology) · AWIM (A World In Motion) Equal Opportunity Employer, including disability / veterans. *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.