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Company Overview Cheiron is a Stanford-based AI company building the AI-native operating system for drug development. Biopharma knowledge work is structurally fragmented. Critical decisions depend on stitching together evidence across literature, clinical trials, regulatory precedent, and patents—spread across disconnected systems. Cheiron replaces this paradigm with a unified intelligence layer: our proprietary Lifesciences Knowledge Graph (LKG), which integrates and structures these data sources into a single, continuously evolving system of record. On top of this foundation, Cheiron deploys workflow-native AI agents that execute real-world R&D, clinical, and regulatory tasks end-to-end—with full traceability and scientific rigor. Since launching in 2024, Cheiron has achieved rapid global adoption. In Korea, we reached 22% of the biopharma knowledge workforce across 200+ organizations within six months. In the United States, within two months of launch, we onboarded thousands of professionals across hundreds of biopharma companies, driven by strong organic demand. Cheiron is proudly pre-VC, backed by a $6M+ angel round from globally recognized investors, including leaders from the SK and Samsung families and co-authors of “Attention Is All You Need.” As we scale our U.S. presence, we are expanding a deeply interdisciplinary team at the intersection of AI, life sciences, and real-world drug development workflows. The Role We are seeking a Clinical Development Specialist to help encode and optimize clinical trial design, execution, and interpretation workflows within Cheiron. This role targets individuals experienced in clinical strategy and protocol design who can translate real-world development decision-making into structured, AI-executable workflows. What You’ll Do • Apply Cheiron across clinical development workflows:, • Protocol design (endpoints, eligibility, comparators, study design), • Clinical strategy and indication expansion, • Competitive trial landscape analysis, • Clinical data interpretation and decision support, • Evaluate AI outputs for:, • Clinical validity and feasibility, • Alignment with standard-of-care and precedent trials, • Statistical and endpoint appropriateness, • Define structured representations of:, • Trial design patterns, • Endpoint justification frameworks, • Risk-benefit tradeoffs, • Collaborate with product/AI teams to:, • Build agents for protocol generation, review, and benchmarking, • Improve longitudinal reasoning across trial phases, • Clinical Development or Clinical Science professionals involved in protocol design and execution, • Physicians (MDs) or PhDs with experience in clinical strategy, indication development, or translational medicine, • Individuals with experience in trial design, endpoint selection, and clinical data interpretation, • Experience in Clinical Development, Clinical Strategy, or Clinical Science, • Deep familiarity with trial design and regulatory expectations, • Ability to interpret clinical data and literature critically

Competitive salary / 100% paid PPO Medical, dental & vision / 401k match / PTO / Home office budget - As a Customer Support Specialist at Paradigm, you will: Provide exceptional customer service to clients via phone and email; Troubleshoot and resolve customer inquiries and issues in a timely manner

Experience in case management of workers comp cases, preferred. The Case Manager works with insurance carriers, medical care providers, attorneys, employers, and employees, and closely monitors the progress of the injured worker and reports results back to the employer and insurance carriers. Deep c

Job Description Regional Operations Manager - West Coast Location: Remote with up to 75% travel across the Western U.S. Currently includes: California, Washington, Idaho, Nevada, Utah, Arizona, and Colorado. Applicant must live in one of those states. This position is open to U.S. citizens only. Candidates must be legally authorized to work in the United States and must be based within the U.S. during employment. Position Highlights: Paradigm Oral Health is seeking a dynamic and results-driven Regional Operations Manager to support our growing network of oral surgery practices throughout the Western U.S. Reporting to the Regional Director, this role is ideal for a strategic leader passionate about operational excellence, team development, and enhancing patient outcomes. This is a remote-based position with frequent travel across the West Coast and surrounding states. • Lead and inspire practice teams to deliver exceptional patient care and service, • Drive operational excellence by analyzing KPIs and implementing strategic improvements, • Manage financial performance, including budgeting, revenue cycle, and P&L oversight, • Recruit, mentor, and develop high-performing teams across multiple sites, • Ensure adherence to clinical compliance standards, policies, and procedures What We Offer: We prioritize your personal and professional well–being, covering aspects from health to financial and social welfare. • Health, Dental, Vision, with HSA Option, • Paid Life Insurance, • Accident and Hospital Indemnity Insurance, • Paid Time Off and Sick Leave, • 401k with up to 4% Company Match, • Short/Long Term Disability, • Employee Assistance Program, • National Discount and Rewards Marketplace, • 5+ years of experience in healthcare or dental practice operations, including multi-site or regional leadership, • Demonstrated success in driving operational performance and team development, • Strong financial acumen, including experience with budgeting, revenue cycle, and P&L management, • Excellent communication, coaching, and team-building skills, • Strategic thinker with the ability to manage both day-to-day operations and long-term initiatives, • Experience specifically within oral surgery or dental specialty practices, • Background in scaling operations during periods of rapid growth or integration, • Familiarity with compliance standards in healthcare or dental settings (state, federal, and industry-specific), • Experience with KPI tracking and the use of data analytics in decision-making, • Bachelor’s or advanced degree in business, healthcare administration, or related field

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. Position Summary As a Research Scientist within our Reinforcement Learning team, you will play a fundamental role in establishing our scientific and technical directions toward the development of emergent capabilities within Foundation Models. The role involves pioneering novel approaches within Reinforcement Learning to facilitate paradigm shifts in foundation modeling. The role involves prototyping and adapting novel approaches to learning from experience, contributing to large-scale RL training infrastructure, and produce replicable code for public release. You will also be expected to build and maintain a productive research portfolio, supported by internal and external collaborations. Key Responsibilities - Develop novel research toward massive scale self-play for foundation model training, agentic tasks, and imbuing models with the capability to proactively learn from its environment. - Initiate and pursue novel reinforcement learning algorithmic approaches to define and drive emergent capabilities in Foundation Models. - Full-stack engineering from data curation, model architecture and algorithm design, to final production of models for end-users using high quality (documented, tested, maintainable) code. - Contribute to technical reports and research publications. - Represent MBZUAI at industry conferences and events, showcasing the institution’s technology and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation. - Proactively engage with the open-source community. - Contribute to large-scale reinforcement learning training and inference frameworks. - Facilitate internal and external collaboration Academic Qualifications - MSc/MEng or PhD Degree (or equivalent experience) in Machine Learning, Computer Science or related fields. Professional Experience Minimum - 3+ years of hands-on experience with reinforcement learning - Demonstrated ability to independently identify limitations of current practice (internal and external), formulate and enact solution strategies for improvement. - Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision. - Strong Python development skills with a focus on research-grade code and scalable data pipelines. - Practical experience implementing complex mathematical concepts into reliable, well-documented code. - Experience applying novel RL algorithms to practical applications. - Strong experience contributing to academic and/or open-source research through publication, GitHub contributions, or professional presentations. - Strong communication and collaboration skills for effective cross-functional work. Preferred Qualifications - Strong systems and engineering expertise in deep learning frameworks such as PyTorch, Jax, etc. - Experience in large-scale model training (LLMs or Diffusion Models) on large clusters. - Familiarity with current RL+LLM training libraries - Experience training policies in self-play, possibly demonstrated by publication, blog post, public code. - Experience working with Diffusion Models in RL, possibly demonstrated by publication, blog post, public code. - Strong publication record in leading AI and RL venues (e.g.ICLR, ICML, NeurIPS, RLC, JMLR, TMLR) - Familiarity with performance constraints in production environments and the trade-offs in model design and execution. - Prior contributions to open-source ML research or data tools. - Demonstrated ability to solve complex system-level challenges and debug failures across training/inference stack (e.g. memory issues, deadlocks, I/O bottlenecks, multi-node communication failures). Visa SponsorshipThis position is eligible for visa sponsorship. Benefits IncludeGenerous paid time off, sick leave and holidaysEmployee Assistance Program*Life insurance and disability

Job Description Yen Oral Surgery | San Jose and Milpitas, CA Dental Assistant – Oral Surgery Surgical Assistant – Oral Surgery This position is based in the office. It is not hybrid or remote. Position Highlights: Step into the fast-paced world of oral surgery as an Oral Surgeon Surgical Assistant! Your role is pivotal, aiding surgeons with precision during procedures and meticulously documenting patient care. From preoperative tasks to maintaining sterile environments, your expertise ensures smooth operations. Engage in strategic discussions with surgeons, monitor patient status, and handle advanced equipment with finesse. Dive into the heart of dental care, obtaining vital radiographs and crafting detailed patient narratives. Who We Are: Our practice is dedicated to exceptional oral surgery in a comforting environment, prioritizing patient needs through collaboration with their general dentist. Our vision is global leadership in oral health, focusing on outstanding patient experiences and industry standards. We foster a positive work environment with career growth opportunities, comprehensive benefits, and a supportive culture that values work-life balance. Our goal is to empower employees to deliver excellent patient care and build strong relationships with referring dentists. What We Offer: We prioritize your personal and professional well–being, covering aspects from health to financial and social welfare. • Health, Dental, Vision, Life Insurance, • Paid Time Off, • 401k, • Short/Long Term Disability, • Employee Assistance Program, • National Discount and Rewards Marketplace, • BLS/CPR Certification, • Career Path Advancement to clinical or management positions Required Qualifications: • A high school diploma or equivalent, • BLS Certification (or completed within 1 month of hire), • Strong teamwork and independent work capabilities, demonstrating good judgment and critical thinking., • Passion for ensuring safety and exceptional attention to detail, vigilance, and meticulousness., • Basic computer proficiency., • Excellent manual dexterity and superior listening skills, especially in emergency scenarios. Preferred Qualifications: • Previous oral surgery experience is beneficial., • DAANCE certification is desirable., • Licensed dental assistant status is preferred., • Radiology certification is a plus. Paradigm Oral Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, sex, age, national origin, disability, genetic information, sexual orientation, gender identity and protected veterans’ status.

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 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 RoleDeepLearning.AI is seeking an AI-forward Recruiter to help build a world-class talent engine. In this role, you’ll focus on the tactical execution of recruiting: sourcing candidates, screening, managing pipelines, coordinating interviews, and supporting offer processes, while using advanced AI tools to reimagine how recruiting should work. Recruiting like it's 2023 (before modern Generative AI) no longer makes sense. This role gives you an opportunity to be at the forefront of the changing recruiting landscape and make an impact on its direction. This is not a traditional recruiter role. You’ll actively use AI tools to automate manual tasks, accelerate sourcing, and improve candidate experience. You will partner closely with our engineering team as a domain expert on recruiting, and provide feedback on what tools would be most helpful. If you enjoy technical recruiting, thrive in a fast-moving environment, and are excited to build AI-enabled workflows, this is an exceptional opportunity. What You’ll Do Recruiting Execution- With assistance from our AI systems, source and engage technical candidates across AI/ML, data science, software engineering, and full-stack development. - With AI assistance, screen inbound applicants and coordinate next steps. - Help host in-person recruiting events to engage candidates across the AI community. - Manage assigned pipelines from sourcing → screening → interview coordination → close. - Draft outreach messages, schedule interviews, and maintain timely communication. - Support offer logistics and negotiation. GenAI-Enabled Recruiting - Extensively use our GenAI tools to accelerate sourcing, candidate research, screening, and automation of multiple steps of the recruiting workflow. - Experiment and assist with the development of new AI tools and continually refine how we recruit. Partner With Engineering on AI Recruiting Tools - Serve as a domain expert on recruiting pain points and priorities. - Test new AI recruiting tool prototypes and provide feedback. - Suggest features and improvements that will accelerate recruiting. - Help the team develop playbooks and best practices for AI-enabled recruiting. Candidate Experience - Ensure clear, warm, and timely communication for all candidates. - Represent DeepLearning.AI’s brand and mission with professionalism and authenticity. Process & Operations - Keep ATS pipelines clean, organized, and up to date. - Track recruiting metrics and surface insights that improve speed and quality. - Contribute to templates, checklists, and workflows that keep recruiting running smoothly. What We’re Looking For - 1–3+ years in recruiting, sourcing, or talent coordination. - Hands-on experience hiring technical talent (AI/ML, DS, SWE, or full-stack). - Creative sourcing skills using a variety of information sources. - Experience managing multiple pipelines and coordinating across stakeholders. - Thoughts on why the existing paradigm of recruiting is broken, and how you would improve it. MindsetAI-Forward: You enjoy experimenting with AI tools to improve your work, and are excited to work with top notch AI engineers. Technical understanding: You can understand engineering roles well enough to screen effectively.Detail-oriented: You keep well-organized pipelines, notes, and follow-through.Collaborative: You enjoy partnering with both recruiting and engineering teams.Work ethic and ownership: You take initiative, and will work very hard to accomplish meaningful objectives. Bonus Points - Basic ability to write code (including using AI to write code for you) - Experience specifically recruiting AI talent. - Expertise with AI technology - Familiarity with existing recruiting tools (ATS, LinkedIn Recruiter, etc.) We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany 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 position, you will develop AI Storage Solutions based advanced system architectures and complex simulation models for Sandisk’s next generation products. You will need to initiate and analyze changes to the architecture of the product. Typical activities include designing, programming, debugging, and modifying simulation models to evaluate these changes and assess the performance, power, 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 : • Build SystemC performance models for AI Storage Solutions based products covering end-to-end from GPU/TPU/NPU/xPU, host interface, memory hierarchy, basedie controller, and AI Storage Solutions using various packaging technolgies, • Responsible for improving the AI/ML ASIC Architecture performance through hardware & software co-optimization, post-silicon performance analysis, and influencing the strategic product roadmap., • Workload analysis and characterization of ASIC and competitive datacenter and AI solutions to identify opportunities for performance improvement in our products., • Collaboration with Architecture team to resolve performance issues and optimize the performance and TCO of their AI Storage Solutions based datacenter technologies., • Experience modeling one or some components of AI/ML accelerator ASICs such as AI Storage Solutions, PCIe/UCIe/CXL, NoC, DMA, Firmware Interactions, NAND, xPU, fabrics, etc, • Performance modeling and optimization for multi-trillion parameter LLM training/inference including Dense, Mixture of Experts (MoE) with multiple modalities (text, vision, speech), • Model/optimize novel parallelization strategies across tensor, pipeline, context, expert and data parallel dimensions, • Architect memory-efficient training systems utilizing techniques like structured pruning, quantization (MX formats), continuous batching/chunked prefill, speculative decoding, • Incorporate and extend SOTA models such as GPT-4, Reasoning models like Deepseek-R1, and multi-modal architectures REQUIRED: • Bachelors or Masters or PhD in Computer/Electrical Engineering with 5+ years of relevant experience in Performance Modeling, Simulation, and Analysis using SystemC, • At least 5+ years of experience with SystemC modeling, • Good understanding of computer/graphics architecture, ML, LLM, • Previous experience with storage systems, protocols, and NAND flash – advantage, • Deep experience optimizing large-scale ML systems, GPU architectures, • Strong track record of technical leadership in GPU performance and workload analysis, • Expert knowledge of transformer architectures, attention mechanisms, and model parallelism techniques, • Experience with GPU or TPU and system microarchitecture, • Proficiency in principles and methods of microarchitecture, software, and hardware relevant to performance engineering, • Capable of developing wide system view for complex AI/ML Accelerator ASIC systems, • Proficiency with SoC and system performance analysis fundamentals, tools, and techniques including hardware performance monitors and PERF profiling, • Familiar with IO subsystem microarchitecture performance modeling and background in NVMe/PCIe//UCIe/CXL/NVLink microarchitecture and protocols is a plus, • Multi-disciplinary experience, including familiarity with Firmware and ASIC design, • PyTorch, CUDA, TensorRT, OpenAI Triton, and ONNX, • Distributed systems: Ray, Megatron-LM, • Performance analysis tools: NSight Compute, nvprof, PyTorch Profiler, • KV cache optimization, Flash Attention, Mixture of Experts, • High-speed networking: InfiniBand, RDMA, NVLink, • Expertise in CUDA programming, GPU memory hierarchies, and hardware-specific optimizations, • Proven track record architecting distributed training systems handling large scale systems, • Experience with datacenter and AI workload analysis and optimization, • Experience with multi-core systems and multi-thread interactions, • Experience analyzing and optimizing workloads 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 04/28/2026 (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 DescriptionHeadquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI. We’re seeking a Head of Communications who can combine strategic vision with hands-on execution to establish a cohesive brand and communicate our vision externally. You will be responsible for shaping and executing our communications strategy, leading high-level planning, driving brand visibility, managing PR efforts, and building demand across our target audiences. At this stage, you’ll be an individual contributor before having a supporting team on board, rolling up your sleeves to deliver campaigns, content, and programs, while also laying the groundwork for scalable marketing operations. You’ll also work with agents and manage external PR partners to amplify our voice in the market. You will cover below area:1.) Communications Strategy & Positioning • Develop and execute integrated marketing and communications strategies aligned with company goals., • Define and refine positioning, messaging, and brand voice to reflect our leadership in AI and biology., • Partner with leadership on corporate communications, announcements, and thought leadership visibility.2. Media Relations & Public Relations, • Collaborate with PR agencies and media partners to craft compelling narratives and secure high-impact coverage., • Manage press releases, interviews, and executive communications., • Support leadership visibility through speaking proposals, op-eds, and industry commentary.3. Content & Thought Leadership, • Partner with technical writers and scientists to translate complex AI/biotech concepts into accessible, inspiring content., • Create and manage high-quality content (blogs, articles, whitepapers, presentations, videos, and social media posts)., • Maintain a consistent editorial calendar across LinkedIn, X, YouTube, and other platforms.4. Brand & Messaging Consistency, • Ensure brand cohesion across all digital channels, website copy, collateral, and internal communications., • Oversee website content, ensuring clarity, accuracy, and compelling storytelling., • Work closely with design and product teams to align visual and narrative identity.5. Events & External Visibility, • Organize and manage participation in conferences, panels, and webinars that strengthen our public presence., • Support event communications, including media materials, executive talking points, and follow-up content.6. Cross-Functional Collaboration, • Partner with leadership, engineering, and business development teams to ensure communication efforts align with company priorities., • Provide insights on market trends, competitor narratives, and industry media dynamics., • Support internal communications to maintain a unified company voice.Qualifications, • 5+ years of relevant experience for “Communications Manager”; 7+ years of relevant experience for “Senior Communications Manager”; 10+ years of relevant experience for “Head of Communications”., • Relevant background in communications, marketing, public relations, or brand experience in tech, AI, or biotech., • Proven success in developing and executing integrated communications strategies., • Strong storytelling and writing skills; capable of articulating complex scientific and technical concepts clearly and engagingly., • Demonstrated experience managing PR agencies and media relationships., • Excellent written and verbal communication, project management, and collaboration skills., • Passion for technology, science, and innovation; thrives in a fast-paced, evolving environment.Preferred Qualifications, • Experience with corporate communications, executive visibility, and thought leadership campaigns., • Familiarity with WordPress (content management and performance optimization) and analytics tools., • Background in deep tech, AI, or SaaS communications., • Global marketing or cross-cultural communications experience.

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 DescriptionHeadquartered in Silicon Valley, we are a newly established start-up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of Generative AI. Our team comprises leading minds and innovators in AI and Biological Science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our foundation model training leading to groundbreaking advancements and a transformative approach to healthcare. With headquarters in Silicon Valley, California, and a branch office in Paris, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.Key Responsibilities • Design, develop, and optimize machine learning inference and training pipelines for molecular and biological data., • Implement and execute large-scale hyperparameter searches to optimize model performance across molecule design tasks., • Productionize ML models including packaging, containerization, and scalable deployment., • Build, deploy, and maintain APIs and services for model inference and integration with downstream tools and data systems., • Ensure scalability, observability, and reproducibility across all ML workflows., • Collaborate closely with research scientists and data engineers to translate model prototypes into reliable production systems., • Maintain high engineering standards through testing, documentation, and CI/CD practices.Qualifications, • Bachelor’s or Master’s degree in Computer Science, Engineering, Machine Learning, or a related field and 2+ years of industry experience, • Proficiency with Docker, Kubernetes, and PyTorch/PyTorch Lightning., • Experience with molecular data (proteins, small molecules, or nucleotides), • Strong software engineering foundations, including version control, testing, and code quality practices., • Hands-on experience developing and deploying APIs for ML inference., • Experience scaling distributed training or inference pipelines in production., • Strong communication and collaboration skills in a fast-paced, interdisciplinary environment.Preferred Qualifications, • Experience with orchestration and CI/CD tools such as Ray, Kubeflow, or ArgoCD., • Familiarity with GraphQL, RESTful API design, and cloud infrastructure (AWS, GCP, or OCI).Prior experience optimizing inference code for large-scale models or biological data., • Understanding of biological data modalities or molecular representation learning is a plus.

Job DescriptionHeadquartered in Silicon Valley, we are a newly established start-up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of Generative AI. Our team comprises leading minds and innovators in AI and Biological Science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our exceptionally strong R&D team and leadership in LLM and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.Responsibilities • Design, build, and maintain modern, responsive full-stack web applications, • Translate user flows and designs into robust, scalable code, • Collaborate with product, design, and AI/ML teams to deliver seamless user experiences, • Develop and maintain backend services, APIs, and data pipelines, • Integrate front-end interfaces with backend APIs and AI/ML model serving infrastructure, • Ensure high performance, accessibility, and cross-browser/device compatibility, • Contribute to shared component libraries and internal design systems, • Define and improve development workflows, coding standards, and best practices, • Monitor and improve system performance, observability, and reliabilityRequirements, • 4+ years of experience as a full-stack or front-end/backend engineer, • Strong programming skills in JavaScript/TypeScript, Python, and modern frameworks (e.g., React, FastAPI, Node.js), • Experience developing, testing, and deploying production-grade web applications, • Proficiency in HTML/CSS (including SCSS) and responsive UI development, • Experience with RESTful and/or GraphQL API design and integration, • Familiarity with front-end testing tools, animation libraries, or data visualization frameworks, • Experience working with modern CI/CD pipelines, Git workflows, and agile development, • Experience deploying applications in cloud environments (e.g., AWS, GCP, Azure), • Strong understanding of containerization (e.g., Docker) and orchestration tools like Kubernetes, • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related fieldNice to Have, • Experience serving large language models or working with AI/ML model inference infrastructure, • Familiarity with AI model serving frameworks such as Triton Inference Server, HuggingFace Transformers/Spaces, or Gradio, • Prior work with GPU-accelerated tools (e.g., CUDA, cuDNN, Triton), • Experience developing tools or interfaces for scientific, medical, or biological data, • Knowledge of bioinformatics tools or biological data modalities (e.g., genomic, proteomic, single-cell), • Contributions to open-source projects, • Experience working in a fast-paced startup environment

Job DescriptionHeadquartered in Silicon Valley, we are a newly established start-up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of Generative AI. Our team comprises leading minds and innovators in AI and Biological Science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine. We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our exceptionally strong R&D team and leadership in LLM and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.Job Description • GPU Cluster Management: Design, deploy, and maintain high-performance GPU clusters, ensuring their stability, reliability, and scalability. Monitor and manage cluster resources to maximize utilization and efficiency., • Distributed/Parallel Training: Implement distributed computing techniques to enable parallel training of large deep learning models across multiple GPUs and nodes. Optimize data distribution and synchronization to achieve faster convergence and reduced training times., • Performance Optimization: Fine-tune GPU clusters and deep learning frameworks to achieve optimal performance for specific workloads. Identify and resolve performance bottlenecks through profiling and system analysis., • Deep Learning Framework Integration: Collaborate with data scientists and machine learning engineers to integrate distributed training capabilities into GenBio AI’s model development and deployment frameworks., • Scalability and Resource Management: Ensure that the GPU clusters can scale effectively to handle increasing computational demands. Develop resource management strategies to prioritize and allocate computing resources based on project requirements., • Troubleshooting and Support: Troubleshoot and resolve issues related to GPU clusters, distributed training, and performance anomalies. Provide technical support to users and resolve technical challenges efficiently., • Documentation: Create and maintain documentation related to GPU cluster configuration, distributed training workflows, and best practices to ensure knowledge sharing and seamless onboarding of new team members.Job Requirements:, • Master’s or Ph.D. degree in computer science, or a related field with a focus on High-Performance Computing, Distributed Systems, or Deep Learning., • 2+ years proven experience in managing GPU clusters, including installation, configuration, and optimization., • Strong expertise in distributed deep learning and parallel training techniques., • Proficiency in popular deep learning frameworks like PyTorch, Megatron-LM, DeepSpeed, etc., • Programming skills in Python and experience with GPU-accelerated libraries (e.g., CUDA, cuDNN)., • Knowledge of performance profiling and optimization tools for HPC and deep learning., • Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes)