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Optum NY, (formerly Optum Tri-State NY) is seeking a Pediatric & Adolescent Gynecologist to join our team in Yorktown Heights, NY. Optum is a clinician-led care organization that is changing the way clinicians work and live. As a member of the Optum Care Delivery team, you'll be an integral part of our vision to make healthcare better for everyone. At Optum, you'll have the clinical resources, data and support of a global organization behind you so you can help your patients live healthier lives. Here, you'll work alongside talented peers in a collaborative environment that is guided by diversity and inclusion while driving towards the Quadruple Aim. We believe you deserve an exceptional career, and will empower you to live your best life at work and at home. Experience the fulfillment of advancing the health of your community with the excitement of contributing new practice ideas and initiatives that could help improve care for millions of patients across the country. Because together, we have the power to make health care better for everyone. Join us and discover how rewarding medicine can be while Caring. Connecting. Growing together. Position Highlights: • Split time between two outpatient locations in Yorktown Heights and Poughkeepsie, • Maintain a Pediatric & Adolescent Gynecology practice with one other physician, • Collegial group practice with a large referral base, • Excellent support staff and dedicated practice management systems in place that allows you to practice at the top of your license, • Sub-specialty training preferred but not required, • State of the art Epic EMR system, • Research opportunity available if desired, • Commitment to quality care in a patient centered, provider-led, team-based environment What makes an Optum organization different? • Quadruple Aim: Improving Patient Satisfaction; Lowering Costs; Delivery High-Quality Outcomes; Increasing Provider Satisfaction and Well-Being, • Clinicians are supported to practice at the peak of their license, • Clinician-centric and clinician focused, with shared EMR across businesses to support coordinated care, • The culture is one of clinical innovation and transformation, • Affiliations with prestigious organizations, • We are influencing change on a national scale while still maintaining the culture and community of our local care organizations Compensation & Benefits Highlights: • Competitive compensation model with built in guarantees during first 1-2 years, quality incentives and growth earning potential, • Financial stability and support of a Fortune 5 Company, • Robust retirement offerings including employer funded contributions and Employee Stock Purchase Plan (ESPP for UHG Stock), • Comprehensive benefits plan inclusive of medical, dental, vision, STD/LTD, CME and malpractice coverage, • Robust clinician learning and development programs The Optum Story in the Tri-State Region: Optum Tri-State was formed in 2022 by bringing together Riverside Medical Group, CareMount Medical and ProHealth Care. The regional alignment combines resources and services across the care continuum - from preventative medicine to diagnostics to treatment and beyond - and features 70 specialties, working in 360 medical practices and more than 55 urgent care locations across New York, New Jersey, and Southern Connecticut. As a Patient Centered Medical Home, Optum Tri-State can provide patient-focused medical care to the entire family. This dynamic position would afford you the opportunity to join a regional, inter-disciplinary care team of over 2,100 providers who serve nearly 2 million patients. Our doctors and clinicians have access to the latest medical information and technology, which lets them spend more time with patients, provide better care and realize better outcomes. With Optum, we've found that putting clinicians at the center of care is the best way to improve lives. Our physician-led organizations are some of the most dynamic and progressive health care organizations in the world. You will find our team working in local clinics, surgery centers and urgent care centers, within care models focused on managing risk, higher quality outcomes and driving change through collaboration and innovation. Learn more at _ Required Qualifications: • Able to Obtain Unrestricted licensure in the state of New York or has New York application in process, • Able to Obtain BE/BC Obstetrics and Gynecology, • Able to Obtain Completion of subspecialty training in pediatric and adolescent gynecology and minimally invasive surgery in children., • Able to Obtain Active and unrestricted DEA License or ability to obtain prior to start Would you thrive with Optum? • Do you practice evidence-based medicine?, • Are you seeking a practice focused on patient-centered quality care, not volume?, • Are you a team player - comfortable delegating and empowering teams?, • Are you constantly seeking better ways to do things?, • Do you want to be part of something better? New York Residents Only: The salary range for New York residents is $318,275.00 to $472,626.00 per year. Salary Range is defined as total cash compensation at target. The actual range and pay mix of base and bonus is variable based upon experience and metric achievement. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you'll find a far-reaching choice of benefits and incentives. Optum NY/NJ was formed in 2022 by bringing together Riverside Medical Group, CareMount Medical and ProHealth Care. The regional alignment combines resources and services across the care continuum - from preventative medicine to diagnostics to treatment and beyond across New York, New Jersey, and Southern Connecticut. As a Patient Centered Medical Home, Optum NY/NJ can provide patient-focused medical care to the entire family. You will find our team working in local clinics, surgery centers and urgent care centers, within care models focused on managing risk, higher quality outcomes and driving change through collaboration and innovation. Together, we're making health care work better for everyone. OptumCare is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. OptumCare is a drug-free workplace. Candidates are required to pass a drug test before beginning employment. #RPO #Red

Immediate Opportunities: Full-time Local Class B CDL Truck Drivers • Average $77792 Annually, • Dedicated route, • Local, home daily What you will do: • Perform multi-stop deliveries of parts and supplies to automotive dealerships, • Unload using manual pallet jacks, hand trucks, and rolling cages, • Use scanner to scan products as they are unloaded and delivered Schedule: • Dispatch times range from 2:15 AM to 2:25 AM, • 5 day schedule; Tuesday through Saturday, • Avg. 45 hours per week, • Home Daily You will drive: • Late model, Penske maintained trucks, • Best-in-class specs designed for comfort and safety, • Equipped with inward and outward facing in-cab cameras helping to ensure safety for all Comprehensive benefits package includes: • Paid vacation and holidays day 1, • Generous retirement benefits, • Excellent health care coverage-medical, dental, and vision, • Short and long-term disability; life and AD&D insurance, • Company-provided uniforms and safety footwear, • Employee discount benefit program, • Driver referral bonus program up to $5000 per referral, • Safety incentive program, • Premier Driver Recognition Program Our excellent benefits plan keep associates and their families happy, healthy, and secure. To learn more visit https://penske.jobs/benefits/ Why Penske? Ready to put your truck-driving career in high gear? Make the shift and fuel your career as a CDL Class A Truck Driver for Penske. When you join Penske, you join a team of professional truck drivers committed to delivering products safely and on time. And we’re proud to haul freight for some of the world’s leading brands. (Yes, we’re more than just the yellow trucks.) But it’s more than that. It’s about incredible customer service and building relationships with your accounts. When you drive for Penske, you’re representing Penske, but you’re also representing your clients. In fact, you’ll probably be driving their branded trucks and wearing their uniform. You’ll be on the move with Penske and so will your career. We have tons of training opportunities for you. And with locations across the nation, you can also move to a new city. Best of all, you’ll be with a stable, nationwide company that is known for having the best equipment, great management, clear communication and a fantastic safety record. We pay every Friday, and for most of our driving positions, you’re home daily. Yes, daily. Are you ready to take it to the next level? Come drive for Penske. Qualifications: • Valid Class A CDL required. Applicants must be domiciled in the U.S. and licensed in their state of residence, • Currently hold, or ability to obtain, a non-excepted interstate DOT medical card required, • 1 year of documented tractor-trailer experience in the last 3 years required, or 2 years of documented tractor-trailer experience in the last 5 years, • 3 years DMV/MVR record with two or fewer moving violations or accidents, • In order to be compliant with federal law (49 C.F.R. 391.11(b)(2)), this role requires English language proficiency, • Work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening required., • This position is regulated by the Department of Transportation or designated as safety sensitive by the company, and the ability to work in a constant state of alertness and in a safe manner is required. Associates must have the ability to accept responsibility for their own safety, as well as the safety of others. Physical Requirements: • The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions., • The associate must be able to see and hear. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus., • While performing the duties of this job, the associate will be required to move frequently, stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to lift and/or move up to 50lbs/23kg and may occasionally lift and/or move up to 100lbs/45kg., • The associate must be able to legally operate a motor vehicle and safely and frequently enter/exit the vehicle as well as the rear cargo area. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Driver Job Family: Drivers Address: 2071 Ringwood Ave Primary Location: US-CA-San Jose Employer: Penske Logistics LLC Req ID: 2607233

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., • Have fun! Position Competencies for Success: • 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., • Desire to make a difference in the life of a child. Working Conditions and Physical Requirements: 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 gB6gx9vVSK

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 IncludeComprehensive medical, dental, and vision benefits Bonus401K PlanGenerous paid time off, sick leave and holidaysPaid Parental LeaveEmployee Assistance Program*Life insurance and disability

Job DescriptionIn a world of noise, we find the signal — the pulse of potential. We weave the strands of talent, vision, and purpose into organizations that endure. Blending intelligence with intuition, we honor the human art of connection at the heart of every great company.About the Job Signal & Strand is partnering with a global leader in interconnect solutions to identify a Power Connector Engineer focused on front-end design and customer engagement. This role sits at the intersection of product design and field application engineering, working closely with customers to translate requirements into high-performance power connector solutions. This is an opportunity to play a critical role in next-generation applications across electric vehicles and data center infrastructure. The Mandate • Own front-end design and technical engagement for power connector products, • Bridge product development and customer application needs through hands-on engineering support, • Drive design optimization through simulation, analysis, and real-world feedback, • Act as a key technical partner to both internal teams and external customersKey Responsibilities, • Design and refine power connector solutions using 3D CAD tools such as SolidWorks, • Perform CAE and FEA simulations to evaluate and optimize electrical, thermal, and mechanical performance, • Serve as the primary technical interface for customers, supporting solution development and requirement alignment, • Partner with sales and field engineering teams to provide technical guidance and application support, • Participate in design reviews to ensure compliance with customer specifications and industry standards, • Contribute to tolerance analysis using GD&T principles to ensure manufacturability and performanceIdeal Profile, • Background as a Connector Design Engineer, Field Application Engineer, or Systems Engineer within a connector manufacturer or relevant end-market, • Proven experience working across both product design and customer-facing environments, • Track record of contributing to or leading power connector programs from concept through customer adoption, • Hands-on experience with high-current or high-voltage connector design, including thermal management challenges, • Familiarity with EV or data center applications is strongly preferred, • Proficiency in SolidWorks or similar 3D CAD tools, • Experience with CAE and FEA simulation methods, • Strong understanding of GD&T and tolerance analysis, • Fluent in Chinese with professional English proficiency for technical communicationLocation & Work Model, • Location flexible depending on business needs, • On-site or hybrid expectations aligned with customer engagement requirements, • Domestic and International Travel is RequiredCompensation, • $80,000 to $110,000 base salary + Bonus, • Compensation is benchmarked internally and remains flexible based on experience and qualificationsBase Compensation Range$80,000—$110,000 USD Equal Opportunity & Non-Discrimination Statement Signal and Strand is an Equal Opportunity Employer. We—and our clients—do not discriminate in employment or contracting on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, military or veteran status, or any other characteristic protected under applicable federal, state, or local laws. We comply fully with the provisions of the U.S. Equal Employment Opportunity Commission (EEOC) and the California Fair Employment and Housing Act (FEHA). All employment decisions are made based on qualifications, merit, and business needs. We are committed to providing a workplace that is inclusive, respectful, and free from discrimination, harassment, and retaliation.

Job Description At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 6 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: We are seeking a Senior Staff AI Engineer with a combination of architectural expertise and production rigor to lead the development of an Agentic Framework to support our AI applications. In this role, you will be the technical anchor for our AI offerings, working to deliver a production-grade Agentic Operating Layer for software-defined vehicles. This is a 50% Architecture / 50% Implementation position. You will be responsible for designing and implementing an extensible architecture that bridges high-velocity vehicle telemetry with sophisticated AI reasoning. We need a leader who is collaborative by nature but decisive in execution—someone who can drive architectural consensus and take full accountability for the performance, safety, and scalability of the resulting system. Responsibilities: • Lead the architecture and design of an extensible AI platform. Drive architectural consensus across teams on AI-core decisions to ensure platform unification., • Lead the development of agentic orchestration by designing and implementing mission-critical components that allow AI agents to decompose complex goals into actionable sub-tasks., • Design and implement a versioned prompt registry allowing for model-agnostic routing and A/B testing of system prompts, • Engineer the privacy shield for PII redaction and the hallucination verifier to audit AI-generated actions before execution, • Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services (AI breadth)., • Strong domain expertise in the AI area, including LLM, RAG, fine-tune large models, traditional ML models, etc. (AI depth), • Stay current with industry trends and advancements in data science and AI technologies. (State-of-the-Art), • Perform data analysis and offer insights to inform business decisions across multiple domains., • Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information., • Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations., • Take charge of projects, ensuring timely completion in a dynamic work environment.Qualifications:, • Master's or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required., • 10+ years of software engineering experience with 4+ years dedicated to shipping production-scale AI/Agentic systems. You have a track record of moving projects from whiteboards to global cloud deployments., • Strong programming skills in languages such as Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn)., • Expert-level experience with stateful orchestration frameworks (e.g., LangGraph, AutoGen, or similar). You understand the nuances of managing state across complex, multi-step AI missions., • Strong experience grounding AI in structured/unstructured Big Data environments. Practical knowledge of traditional databases, streaming analytics, and Vector databases., • Proven experience building multi-agent systems and frameworks with adaptive orchestration, • Deep understanding of Jailbreak Detection (e.g., LlamaGuard) and PII masking techniques to ensure safe LLM interactions in regulated environments, • In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms., • Solid experience in data preprocessing, feature engineering, and model evaluation techniques., • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus., • Strong knowledge of software development best practices, version control systems, and agile methodologies., • Results-driven with a positive can-do attitude and excellent problem-solving skills., • Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams., • Experience in the automotive industry is highly desirable., • Experience building multi-tenant "Platform-as-a-Service" (PaaS) models is desirable. Benefits Offered: • Competitive compensation and equity program, • Health care plan (Medical, Dental & Vision), • Flexible and Dependent Care Expense program, • Retirement plan (401k), • Life Insurance (Basic, Voluntary & AD&D), • Unlimited paid time off per year, 15 paid holidays, • Hybrid office work arrangement/flexibility Perk Offerings include: • Complimentary lunches, snacks, and beverages during on-site working days, • Wellness benefit allowances (towards gym membership and fitness programs), • Internet reimbursement, • Computer Accessory Allowance Employee Engagement Offerings: • Departmental team building and outings, • Employee Referral Program, • Culture/Employee Satisfaction Surveys - Feedback matters! The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range$227,500—$300,000 USD

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. 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, • Experience with autonomous vehicle or robotics simulation and related concepts Your opportunities joining PlusAIWork, learn and grow in a highly future-oriented, innovative and dynamic field.Wide range of opportunities for personal and professional development.Catered free lunch, unlimited snacks and beverages.Highly competitive salary and benefits package, including 401(k) plan. 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 DescriptionAbout Us At Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to everyone. Our mission is to remove the limits of scale, hardware, and cost that hold back innovation, so the people solving humanity's hardest problems can move faster. We're building a new kind of software stack: a hardware-agnostic platform that makes every system — from a laptop to a supercomputer — feel like one seamless engine. Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any cloud, at any scale. It's a complete rethink of how software and hardware interact — designed for the era beyond Moore's Law. We're not looking for the comfortable or the conventional; we're looking for the bold. The engineers who crave frontier problems, who want to bend the limits of what's possible, who see infrastructure not as a constraint but as a canvas. If you want to build the foundation for the next era of AI and change what humanity can achieve in the process, join us. About the Role We're looking for a Product Growth Lead who lives at the intersection of deep tech, community strategy, and product adoption. You'll define how the market experiences our product — serving as the primary bridge between our AI stack and the external developer and partner ecosystem, translating technical value into developer adoption at scale. This is a rare hybrid role that demands both technical fluency and go-to-market instincts. You'll architect the developer journey, own the feedback loop between the market and our product backlog, and build the relationships that matter in the open-source and cloud ecosystem. What You'll Do • Drive Developer Adoption: Lead the zero-to-one experience for our AI stack. Architect the developer journey from discovery to deployment, ensuring our SDKs and libraries are not just powerful, but accessible., • Own the Feedback Loop: Act as Customer Zero. Bring insights from hackathons, partner integrations, neoclouds, and open-source communities directly into the product backlog., • Technical Storytelling: Partner closely with Communications Team to translate complexity into compelling narratives — whitepapers, blog posts, and documentation that resonate with ML engineers and external audiences, where applicable, • Ecosystem Presence: Build high-trust relationships with developers and maintainers of key open-source and cloud-native projects (e.g., vLLM, LangChain, Triton)., • Growth Engineering: Define and track key product adoption metrics. Work with technical teams to build the telemetry that informs growth strategy.RequirementsEssential Skills and Experience, • 8+ years of experience blending Technical Product Management with Developer Relations, Solutions Engineering, or Growth roles in the AI/HPC space., • Technical fluency: you can read and write Python, and understand lower-level concepts (GPU memory hierarchy, kernel fusion, latency vs. throughput) well enough to debate trade-offs with architects., • A portfolio of technical writing (blogs, documentation, whitepapers) or public speaking that simplifies complex systems without dumbing them down., • Proven track record of launching developer-facing products (APIs, SDKs, CLI tools) and measuring success through adoption metrics., • BS/MS in Computer Science, Engineering, or equivalent practical experience.Ways to Stand Out, • Open source credibility: you have managed or contributed to high-growth repositories (1k+ stars) or active Discord communities in the GenAI space., • Builder DNA: you have personally built and deployed RAG pipelines or custom model serving endpoints in the last year., • Network: you bring existing relationships within the PyTorch, Hugging Face, Neocloud, or CNCF communities.Personal Attributes, • Community-native: you understand how developer trust is built and have done it before., • Self-directed: you take ownership and don't wait for permission to move fast., • Technically credible: engineers take you seriously because you've done the work., • Storyteller: you can make infrastructure feel exciting — and back it up with data. Lemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background. Compensation depends on experience and geographic location and will be narrowed during the interview process. Additional benefits include equity, company bonus opportunities, medical, dental, and vision coverage, a retirement savings plan, and supplemental wellness benefits.

Job DescriptionSalary: $240,000 to $275,000 AboutKnightscope Knightscope is a security technology company building the Nations First Autonomous Security Force. The Company combines autonomous machines, advanced software, and human expertise to help protect people, property, and critical infrastructure. Knightscopes long-term mission is to make the United States of America the safest country in the world. About the Role In this role, you will own the full perception stack for our autonomous security robot platform, from raw LiDAR, camera, and thermal sensor data through 3D object detection, scene understanding, and persistent entity tracking. You will be a technical lead working across robotics, ML, and systems engineering to ship production-grade perception capabilities that power real-time threat detection, incident correlation, and evidence capture in the field. Location Requirement: Full-time, on-site at Sunnyvale HQ (No relocation provided) Key Responsibilities • Design, train, and deploy 3D perception models, object detection, segmentation, and multi-object tracking, from multi-modal sensor data (LiDAR, camera, thermal, radar) using state-of-the-art BEV and transformer-based architectures., • Own the end-to-end ML pipeline from large-scale data curation and annotation strategy through model training, optimization (TensorRT/CUDA), and real-time onboard deployment on edge compute., • Build persistent cross-sensor identity: the same person, vehicle, or license plate maintains a stable track across camera handoffs, patrol legs, and time, feeding entity correlation and incident generation downstream., • Design and implement evidence-first capture: pre/post-event clips, full-frame and crop media, and structured detection output that is replay-safe and analyst-ready., • Explore and integrate Vision-Language Models (VLMs) to enrich detection outputs with scene narration, anomaly reasoning, and long-tail incident understanding, moving K7 beyond bounding boxes toward analyst-ready scene descriptions., • Drive technical decisions on architecture, data strategy, and roadmap; mentor engineers across the team., • Design and run rigorous offline and closed-loop evaluations; define metrics for safety-critical perception performance across diverse real-world deployment environments. Required Qualifications • 7+ years of hands-on experience at an OEM, AV company, physical security platform, or robotics tech company shipping perception software to production., • Deep expertise in 3D computer vision: LiDAR/camera 3D object detection, point cloud processing, multi-view geometry, and sensor fusion., • Strong ML fundamentals, CNNs, Transformers, multi-task architectures, with production deployment experience (TensorRT, ONNX, CUDA optimization)., • Fluency in C++ (real-time systems) and Python; experience with ROS2 and simulation environments (CARLA, Isaac)., • Production-first mindset demonstrated ability to take models from research to deployed, real-world systems operating under real operational constraints. Preferred Qualifications • Exposure to vision-language models (VLMs): fine-tuning, prompting, or integrating VLM outputs into a perception pipeline for scene understanding or anomaly narration., • Familiarity with Vision-Language-Action (VLA) or end-to-end policy models that map sensor observations directly to robot actions, and interest in applying these to active confirmation and repositioning behaviors., • Experience with ALPR, face recognition, or ReID systems in deployed security or automotive contexts., • Familiarity with evidence integrity, chain-of-custody media, or tamper-evident capture pipelines., • Publications or open-source contributions in 3D CV, embodied AI, or autonomous systems., • MS or PhD in Computer Science, Robotics, Electrical Engineering, or related field. Compensation & Benefits • Base Salary:$240,000 to $275,000 (DOE), • Equity:Stock options, • Benefits:Medical, dental, vision, 401(k), paid time off, • Location Requirement:Full-time, on-site at Sunnyvale HQ

Job Description About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. 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 We are seeking talented Fall '26, Spring '27, and Summer '27 Inference Architecture interns 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 inference 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 our runtime, including multi-node inference, intra-node execution, state management, and robust error handling. Contribute to optimizing routing and communication layers using our collectives. Utilize performance profiling and debugging tools to identify bottlenecks and correctness issues. Develop and leverage a deep understanding of our architecture 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 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 internships@etched.com. How we’re different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors. 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 and work across disciplines as needed.

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, • Preferred: PhD or equivalent research experience in Natural Language Processing Professional 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)., • 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)., • Experience in innovative research, contributing to research communities including publishing in forums (e.g., ACL, EMNLP, NAACL, EACL, COLING, ICLR, AAAI, NeurIPS).Salary depends on level.Visa SponsorshipThis position is eligible for visa sponsorship. Benefits IncludeComprehensive medical, dental, and vision benefits Bonus401K PlanGenerous paid time off, sick leave and holidaysPaid Parental LeaveEmployee Assistance Program*Life insurance and disability

Job DescriptionAbout Us At Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to everyone. Our mission is to remove the limits of scale, hardware, and cost that hold back innovation, so the people solving humanity's hardest problems can move faster. We're building a new kind of software stack: a hardware-agnostic platform that makes every system — from a laptop to a supercomputer — feel like one seamless engine. Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any cloud, at any scale. It's a complete rethink of how software and hardware interact — designed for the era beyond Moore's Law. We're not looking for the comfortable or the conventional; we're looking for the bold. The engineers who crave frontier problems, who want to bend the limits of what's possible, who see infrastructure not as a constraint but as a canvas. If you want to build the foundation for the next era of AI and change what humanity can achieve in the process, join us. About the Role We're looking for a Graph Optimization Compiler Engineer to own the middle tier of our AI compiler stack — the layer where high-level model graphs are transformed, simplified, and made ready for efficient code generation. You'll design and implement the optimization passes that make the difference between a model that runs and a model that flies. This role sits between our compiler front end and code generation backend. You'll work on graph-level transformations — fusion, layout optimization, dead code elimination, constant folding, and more — with a direct line of sight to the performance outcomes your work produces. If you think in data flow graphs and optimization passes, and you want that thinking to power the next generation of AI infrastructure, we'd love to talk. What You'll Do • Design, develop, and maintain the graph optimization layer of our heterogeneous AI compiler, • Implement and extend graph-level transformation passes including operator fusion, layout propagation, dead code elimination, constant folding, and algebraic simplification, • Define and evolve our intermediate representation (IR) to support new optimization opportunities as ML model architectures advance, • Analyze performance data to identify optimization gaps and drive measurable improvements in throughput and latency, • Collaborate with front end and code generation teams to ensure clean IR interfaces and well-structured optimization pipelines, • Propose and prototype new optimization strategies in response to advances in model design and hardware capabilities, • Contribute to testing and validation infrastructure to ensure optimization correctness across model types and hardware targetsRequirementsEssential Skills and Experience, • BS degree in Computer Science, Computer Engineering, or equivalent practical experience, • 4+ years of experience working with compilers, with a focus on intermediate representation design or optimization passes, • Deep knowledge of graph-level compiler optimization techniques — fusion, tiling, layout transformations, and related methods, • 4+ years of experience with C/C++, • Strong written and verbal communication skills; ability to write clear and concise technical documentationPreferred Skills and Experience, • Master's or PhD in Computer Science, Computer Engineering, or equivalent, • Experience with polyhedral models or affine analysis for loop and tensor optimization, • Familiarity with hardware memory hierarchies and how layout decisions impact performance on GPUs or accelerators, • Experience working with MLIR, XLA, or similar graph-level IR frameworks, • Experience with ML framework internals — PyTorch eager/compile mode, JAX/XLA, or TensorRT, • Strong understanding of ML model architectures and their computational patterns (attention, convolution, normalization, etc.), • Knowledge of quantization, sparsity, or other model-level optimization techniques, • Contributions to open-source compiler or ML infrastructure projectsWhy Join Lemurian Labs, • Own a critical layer of our compiler stack where optimization decisions have direct, measurable impact on model performance, • Work on the hardest graph-level problems in AI infrastructure — across diverse hardware targets and model architectures, • Collaborate with a team that treats infrastructure as a canvas and optimization as a craft, • Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits Lemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background. Compensation depends on experience and geographic location and will be narrowed during the interview process. Additional benefits include equity, company bonus opportunities, medical, dental, and vision coverage, a retirement savings plan, and supplemental wellness benefits.

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_012631-2654755 Job Description JOB SUMMARY This paragraph summarizes the general nature, level and purpose of the job. Occupational Therapist II provides services to develop, enhance or restore functional capacity of patients whose abilities to cope with tasks of daily living are threatened or impaired by physical illness or injury, psychosocial disabilities, aging process, or by developmental deficits. Assesses and provides treatment in consultation with the individual patient, family and other appropriate persons. Duties may include the assessment, development, application and/or training in the use of assistive technology devices; training in the use of orthotic or prosthetic devices; pre-vocational evaluation, psychosocial re-conditioning for reentry into the community; dysphagia evaluation and treatment; and the adaptation of environments and processes to enhance functional performance. The Occupational Therapist II is a Senior Therapist with expertise and experience in developing treatment plans for complex cases and for a wide variety of ages and diagnoses, utilizing and applying innovative and advanced skills and techniques to solve patient care needs in an accurate and efficient manner. The ccupational Therapist II takes a leadership role in multi-disciplinary care team discussions, representing and recommending the most appropriate treatment plan for the needs of the patient. The Therapist serves as a clinical care advisor/guide to less experienced Therapists by answering questions, reviewing treatment plans and collaborating to develop and implement complex occupational therapy care plans. Supervises patient care responsibilities of Occupational Therapy interns, Assistants and duties of Rehabilitation Aide. Participates in program development, performance improvement, development of departmental policies and procedures, and other specialized programs. Occupational Therapists assigned to treat pediatric patients at LPCHS provide intervention to infants, toddlers, children, and adolescents with disorders that affect development of motor and behavioral skills within the professional scope of practice. 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. • Analyzes findings to determine therapy diagnosis and prognosis and designs a program to maximize outcomes and alleviate impairment and functional limitations; identifies the frequency and duration required to meet goals., • Selects and administers appropriate assessment and treatment techniques., • Performs age appropriate competency skills in area of practice and with respect to individual patient's problems., • Discharges patient from treatment when appropriate with adequate discharge planning including equipment procurement and family training, and communicates this appropriately to patient, family and health care team., • Evaluates the need for, recommends, and trains in use of complex durable medical equipment, orthotics, prosthetics, and adaptive devices; Fabricates orthotic and adaptive devices., • Identifies departmental performance improvement issues and participates in performance improvement activities, e.g. chart reviews, revision of documentation forms, workflow studies, etc., • Regularly re-evaluates patient care services and programs, and completes assignments in the departmental plan to improve services., • Contributes to the development of departmental policies and procedures., • Participates in new program development, for example by developing treatment protocols for new patient populations., • Identifies needs for equipment repair or upgrade to maintain quality of care., • Makes recommendations for selection and purchase of specific equipment and supplies., • Initiates and participates in a leadership role in the multidisciplinary care planning to meet the needs of each patient and family, including participation in rounds and patient care conferences, communicating with and teaching other care providers., • May contact community agencies as necessary to provide continuity of service between hospital and community., • Observes actual performance of activities and tasks to identify specifically what supports or hinders performance including motor skills (e.g., mobility, posture, coordination, strength) and process skills (e.g. attention, pace, organization, sequencing)., • Organizes and maintains a patient caseload consistent with department productivity standards., • Schedules patients and informs supervisor if problems arise related to the delivery of patient care or caseload volume., • Ensures documentation and billing are timely, accurate and complete, including precautions, monthly and discharge summaries., • Participates in clinical teaching, including the clinical instruction of occupational therapy interns and other staff., • Prepares and presents an in-service (at least one per year) at a department meeting., • Provides input regarding the educational needs of the staff and serves as a resource in meeting those needs., • With the support of the supervisor, may initiate clinical research within area of clinical expertise., • Provides mentoring to others when appropriate and serves as a role model/resource/teacher/mentor to less experienced occupational therapists., • Participates in Department, team, and discipline and/or unit meetings., • Performs all necessary patient care documentation, including assessment, plan of care, progress notes, discharge summaries, and charges for evaluation and treatment., • Documentation reflects patient status, progress or change, participation by patient and family in goal setting and delivery of care., • Performs complex patient care tasks under minimal supervision with advanced skills in clinical reasoning, problem-solving and treatment interventions., • Assesses and treats patients within the CA Licensing Board and AOTA (American Occupational Therapy Association) scope of practice including but not limited to ADL's (Activities of Daily Living), cognitive and perceptual status, swallow evaluation and treatment, splinting, wheelchair fitting and seating, and functional mobility., • Provides direct patient care that meets department and professional standards of practice, including patient assessment, development of physical therapy care plan, patient treatment, family/caregiver training and discharge planning. May serve as a clinician in both the inpatient and outpatient settings. Qualifications 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: Requirement met by License/Certification Requirement. Experience: Two (2) years of progressively responsible and directly related work experience. License/Certification: • Basic Life Support by American Heart Association (AHA), • or, • RQI Healthcare Provider Basic Life Support, • Occupational Therapist by California Board of Occupational Therapy KNOWLEDGE 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 clinically supervise, train and evaluate students/interns., • Ability to communicate effectively, both orally and in writing., • Ability to develop, implement and adapt treatment programs., • Ability to evaluate patients and interpret clinical data and make clinical judgments., • Ability to instruct and provide consultation to therapists and other team members in designated clinical specialty., • Ability to provide appropriate care and progress treatment based on professional standards of practice, and on the needs of the specific individual, including age and developmental considerations, cultural and psychosocial issues, precautions and medical condition., • Ability to utilize sound clinical reasoning to determine appropriate patient interventions; demonstrates good safety awareness, judgment and problem analysis and resolution., • Ability to work well with individuals at all levels of the organization., • Knowledge and adherence to Code of Ethics and performance standards specific to the clinician's professional organization., • Knowledge of available equipment and vendors used in assigned area., • Knowledge of basic business aspects of position, such as utilization management, charging practices and regulatory compliance;, • Knowledge of basic principles of clinical supervision and clinical instruction., • Knowledge of computer systems and software used in functional area., • Knowledge of evaluation and treatment methodologies as applied to complex patients., • Knowledge of legal issues affecting the clinical practice., • Knowledge of pathologies and injuries which result in speech, language, cognitive, and swallowing disabilities., • Knowledge of principles, methods, equipment and theory of the practice of clinical specialty., • Knowledge of regulatory practice requirements. 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): $54.10 to $67.63 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 Description Company Description At PayNearMe, we're on a mission to make paying and getting paid as simple as possible. We build innovative technology that transforms the way businesses and their customers experience payments. Our industry-leading platform, PayXM™, is the first of its kind—designed to manage the entire payment experience from start to finish. Every click, swipe or tap is seamless, fast and secure, helping non-commerce businesses boost customer satisfaction, accelerate payments, and reduce costs. Our single platform handles it all: cards, ACH, digital wallets such as PayPal, Venmo, Cash App Pay, Apple Pay and Google Pay, and even cash at more than 62,000 retail locations nationwide. Today, thousands of businesses across consumer lending, iGaming and online sports betting, property management, and tolling trust PayNearMe to deliver a payment experience that drives real results. In September 2025, we raised a $50 million Series E funding round to accelerate our growth. We're a team of 300+ employees across 41 states, headquartered in Silicon Valley with satellite offices in Dallas, TX and Holmdel, NJ. Join us and be part of a team that's shaping the future of payments—one experience at a time. Responsibilities: We are establishing the role of Quality Automation Architect to lead the modernization of our software quality management practices, tooling, and mindset. As a payment processor and licensed money transmitter, PayNearMe operates in a regulated, high-stakes environment with a high bar for quality. We're investing heavily in agentic AI workflows that will substantially accelerate how quickly we produce code — and we need our ability to validate that code to scale at the same pace. Your primary objective will be to drive our transformation to a fully automated test suite and deployment pipeline while maintaining our current extremely high quality metrics. Today, our approach to QA follows a traditional release-validation process, combining automated tests with manual scenarios and post-release smoke testing. As agentic AI accelerates our ability to deliver software, we need to transform the way we think about signals that give us confidence in production readiness. This role is about enabling teams to ship faster and with less friction, while honoring the trust placed in us by our clients and their customers by maintaining a high bar for correctness. Success in this role requires both technical depth and an ability to work cross-functionally. You will need to both learn and teach, be an agent and driver of change, work within regulatory and compliance frameworks, and get buy-in for transformational initiatives across a diverse product development organization. Software Quality Strategy • Define and lead the technical approach for modernizing software quality across our engineering organization, evolving from QA-as-gatekeeper toward a shared ownership model, • Assess our current QA processes, test automation, manual testing practices, release validation, and tooling, then develop a practical roadmap for reaching successive levels of maturity, • Propose and implement tooling, workflows and practices for building quality into the agentic SDLC, • Establish a long-term vision for quality management that reduces handoffs and allows development pods to operate with autonomy, • Partner closely with proddev leadership, SGRC, QA, and performance testing teams to align quality management practices with business risk, regulatory needs, and delivery goals, • Define, track, and report the metrics that will shape decisions, such as coverage and defect escape rates Test Architecture & Automation • Define a modern test pyramid with clear definitions, ownership, and goals for unit, integration, contract, end-to-end, exploratory, and production validation layers, along with specialized considerations such as performance and security, • Improve the reliability, speed, maintainability, and signal quality of our automated test suites; guide appropriate use of existing tools while identifying opportunities to improve, replace, or supplement them, • Develop strategies for test data management (seed, synthetic, and production-like sets), environment reliability, contract testing, service virtualization, synthetic monitoring, and automated smoke testing, • Identify opportunities to leverage agentic AI in test generation & scenario discovery, and design workflows and skills for multi-agent analysis of generated code Release Readiness • Design quality gates that are risk-based, automated where possible, and integrated into CI/CD pipelines, • Improve sandbox and production smoke testing so that post-deploy validation becomes faster, more automated, and more reliable, supporting a fast-rollback strategy when needed, • Collaborate with teams to define what "ready to release" means for different types of changes, services, and risk profiles Mentorship and Change Leadership • Provide technical mentorship to QA engineers, software engineers, and engineering leads., • Teach modern quality engineering practices through pairing, workshops, documentation, architecture reviews, and hands-on examples., • Build buy-in and drive change across teams by showing practical improvements rather than imposing abstract process changes., • Help cultivate a culture where quality is owned broadly by engineering, supported by QA expertise, and embedded throughout the delivery lifecycle., • Approach change with empathy, especially for team members whose current roles and responsibilities will evolve. Success in This Role • Fully automated quality regression and smoke tests that allow for high confidence releases, • North star: A green build is safe to deploy, • Clearer testing standards across application, service, API, and event-driven boundaries., • Implement state of the art AI based toolchains to constantly improve confidence in releases, with fewer escaped defects Qualifications • 7+ years of hands-on experience in a software development organization, ideally with a significant emphasis on quality management. Our current stack includes Ruby and Go codebases, and direct experience with one of these (preferably both) is a significant benefit., • Significant experience with agentic software development workflows, skill development, prompt engineering, and supporting tools, • Excellent communication skills; ability to build consensus and influence across teams, considering multiple perspectives and developing solutions that balance them effectively, • Commitment to data-driven decision making — able to develop and test hypotheses effectively, continually adjusting strategy as a result of new information; defining, tracking, and reporting on clear KPIs/OKRs, • Experience leading transformational projects and managing change well, ideally in sensitive, high-complexity environments with significant compliance or regulatory obligations The annual base salary range for this role represents PayNearMe's good-faith estimate of the base salary it reasonably expects to offer for this position at the time of hire. Actual compensation may vary based on factors including the candidate's experience, qualifications, skills, and work location. PayNearMe may offer compensation outside of this range in certain circumstances. This position will remain posted until filled.Annual Salary Range$205,000—$260,000 USD Why Join Us?: • Competitive salary and benefits with growth-company options grant, • Fast- paced and professional work culture, • Stock options with standard startup vesting - 1 year cliff; 4 years total, • $50 monthly communication expense stipend to go towards your phone/internet bill, • $250 stipend to enhance your WFH setup, • Reimbursement for peripheral equipment: monitor (up to $400), keyboard and mouse (up to $200), • Premium medical benefits including vision and dental (100% coverage for employees), • Company-sponsored life and disability insurance, • Paid parental bonding leave, • Paid sick leave, jury duty, bereavement, • 401k plan, • Flexible Time Off (our team members typically take off ~3-4 weeks per year), • Volunteer Time Off, • 13 scheduled holidays PayNearMe strives to create a workplace where all employees thrive. Our core values represent who we are today and we take pride in the way we work with each other as well as with our stakeholders. We're in this together to do the right thing. We deliver real results we are proud of while remaining respectful, transparent, and flexible. PayNearMe is an equal opportunity employer. We are diligently and thoughtfully working towards cultivating a diverse workforce which in turn, enhances our products and services for the communities we serve. Applicants who represent all backgrounds are strongly encouraged to apply. CALIFORNIA CONSUMER PRIVACY ACT: APPLICANT NOTICE Effective Date: January 1, 2020 Last Reviewed on: December 23, 2019 PayNearMe, Inc. (the "Company") is providing you with this Notice ("Notice") to inform you about: • the categories of Personal Information that the Company collects and maintains about applicants; and, • the purposes for which the Company uses that Personal Information. For purposes of this Notice, "Personal Information" means information that identifies, relates to, describes, is capable of being associated with, or could reasonably be linked, directly or indirectly with, a natural person that the Company may collect in connection with screening applicants for job openings at the Company. • Identifiers and Professional or Employment-Related Information. The Company collects identifiers and professional or employment-related information, which may include some or all the following: real name, nickname or alias, postal address, telephone number, e-mail address, membership in professional organizations, professional certifications, language skills, and current and past employment history. The Company collects this Personal Information to evaluate previous job performance and consider applicants for positions, to develop a talent pool and plan for succession, to conduct applicant surveys, to maintain an internal applicant directory and for purposes of identification, to promote the Company as a place to work, and for workforce reporting and data analytics/trend analysis., • Personal Information Categories from Cal. Civ. Code § 1798.80(e). The Company may collect categories of Personal Information listed in Cal. Civ. Code §1798.80(e), other than those already listed above, (a) to the extent necessary to comply with the Company's legal obligations, such as to accommodate disabilities; (b) to conduct a direct threat analysis in accordance with the Americans with Disabilities Act and state law; (c) for occupational health and safety compliance and record-keeping; and (d) to respond to an applicant's medical emergency., • Characteristics of Protected Classifications Under California or Federal Law. The Company may collect information about race, age, national origin, disability, sex, and veteran status as necessary to comply with legal obligations, including the reporting requirements of the federal Equal Employment Opportunity Act, the federal Office of Contracting Compliance Programs (applicable to government contractors), and California's Fair Employment and Housing Act. The Company collects this Personal Information for purposes including: to comply with Federal and California law related to accommodation. The Company also collects this category of Personal Information on a purely voluntary basis, except where required by law, and uses the information only in compliance with applicable laws and regulations., • Education Information. The Company collects education information such as resumes and graduation records. The Company collects this Personal Information to determine suitability for roles, to determine eligibility for training courses, and to assist with professional licensing., • Profile Data. The Company may collect profile data, including the following: psychological assessments, behavior analyses, or other profiling of its applicants. The Company collects this Personal Information to determine aptitude for certain positions and job assignments as well., • Background Screening Information. In the event that an applicant is given a formal job offer, the Company collects background screening information prior to hiring, including results of the following types of background screening: criminal history; sex offender registration; motor vehicle records; credit history; employment history; drug testing; and educational history. The Company collects this Personal Information to screen for risks to the Company and its clients, and continued suitability for their jobs and to evaluate applicants for promotions.

Job DescriptionAbout Us At Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to everyone. Our mission is to remove the limits of scale, hardware, and cost that hold back innovation, so the people solving humanity's hardest problems can move faster. We're building a new kind of software stack: a hardware-agnostic platform that makes every system — from a laptop to a supercomputer — feel like one seamless engine. Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any cloud, at any scale. It's a complete rethink of how software and hardware interact — designed for the era beyond Moore's Law. We're not looking for the comfortable or the conventional; we're looking for the bold. The engineers who crave frontier problems, who want to bend the limits of what's possible, who see infrastructure not as a constraint but as a canvas. If you want to build the foundation for the next era of AI and change what humanity can achieve in the process, join us. About the Role We're looking for a Front End Compiler Engineer to own the ingestion layer of our high-performance, portable AI compiler. This is where the journey begins — you'll build the systems that parse, validate, and lower representations from frameworks like PyTorch, StableHLO, ONNX, and MLIR dialects into our internal compiler IR, setting the stage for everything that follows. If you're drawn to the elegance of well-designed language frontends, care deeply about correctness and coverage, and want your work to directly enable next-generation AI models to run anywhere — this is the role for you. What You'll Do • Design, develop, and maintain the front end of our heterogeneous AI compiler, including parsing, validation, and IR lowering stages, • Build and extend ingestion pipelines for ML frameworks and representations including PyTorch, StableHLO, ONNX, and MLIR-based dialects, • Define and evolve the interface between external model representations and our internal compiler IR, • Ensure correctness and completeness of operator coverage across supported frameworks and hardware targets, • Collaborate with graph optimization and code generation teams to ensure clean, well-structured IR that enables downstream transformations, • Use performance and correctness data to identify gaps in coverage and drive improvements, • Contribute to documentation and tooling that helps ML engineers understand and debug the ingestion processRequirementsEssential Skills and Experience, • BS degree in Computer Science or equivalent practical experience, • 2+ years of experienceWorking with ML optimization tools/libraries, • Experience working with or ingesting from ML frameworks such as PyTorch, TensorFlow/JAX, or ONNX, • 2+ years of experience with C/C++ and 2+ years working with Python, • Strong written and verbal communication skills; ability to write clear and concise technical documentation, • Knowledge of quantization, sparsity, or other model-level optimization techniquesPreferred Skills and Experience, • Master's or PhD in Computer Science or equivalent, • Experience with StableHLO, XLA, or other ML-specific IRs, • Knowledge of operator semantics across ML frameworks and the challenges of cross-framework compatibility, • Familiarity with Python bindings and tooling for compiler front ends, • Experience with testing infrastructure for compiler correctness — fuzzing, differential testing, or model-level validation, • Contributions to open-source compiler or ML framework projects, • Familiarity with MLIR, including defining and working with custom dialectsWhy Join Lemurian Labs, • Build the entry point for an AI compiler that targets every major hardware platform, • Work at the boundary of ML frameworks and compiler infrastructure — a rare and high-leverage intersection, • Tackle deep correctness and coverage problems that directly impact what models can run and where, • Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits Lemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background. Compensation depends on experience and geographic location and will be narrowed during the interview process. Additional benefits include equity, company bonus opportunities, medical, dental, and vision coverage, a retirement savings plan, and supplemental wellness benefits.

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 www.coreweave.com.What You'll Do: The OpenPipe team at CoreWeave is building tools to help agents learn from experience. This is a critical step to make agents reliable enough to perform long tasks autonomously, in the same way human employees are. We're systematically identifying and solving the major bottlenecks between today's tech and those future self-improving agents. So far, we've: • Released ART, the easiest library for getting started with RL., • Developed RULER, a general-purpose reward function that works across many diverse tasks., • Built Serverless RL, an elegant API that gives RL practitioners full control over their data, environment and reward function while letting them outsource the headaches of managing GPU infrastructure. These releases have a theme: we're systematically tackling each major roadblock to successfully training self-improving agents. Several serious challenges remain. Building simulated environments often requires substantial human labor, and existing training methods are not data efficient enough. We're laser-focused on solving these problems and making self-improvement a reality for agent developers. In startup terms, this is a classic hard-tech bet. Our roadmap involves substantial technical risk; there are still major technical problems we're facing without a proven solution. However, there is very little market risk. We've worked closely with the teams building agents at many of the top AI-native startups as well as large enterprises. If we can build this, everyone will want it. A self improving agent that learns from experience the way a human employee would could quickly capture a large fraction of the total inference market, which is worth tens of billions of dollars today and will be worth hundreds of billions in a few years. About the role: You have trained LLMs to be SOTA on specific tasks. You have opinions on whether sequence-level or token-level importance ratios are more effective. You probably shared the ScaleRL paper in your group chats, and kicked off a few ablations after you read it. This is an applied research role. You will be expected to generate and investigate research ideas towards solving the remaining obstacles to continuous learning in production. You will work with the broader OpenPipe team to validate these research directions across real customer tasks. We are very GPU rich and are ready to direct an enormous amount of compute at this effort. Beyond your role's specific qualifications, we're looking for strong engineers with great taste. The most important qualification by far is that you learn fast and can ship. This role will inevitably involve a lot of learning on the job; we're building this airplane as we fly it. Engineers on our team touch everything from CUDA kernels to high-performance LLM tracing dashboards, and you will have an opportunity to touch many parts of this stack. Although we operate as part of a larger company, the OpenPipe team is small, has a large degree of autonomy and drives our own roadmap and priorities. This is an excellent role for someone looking to found their own company in the future. Who You Are: • 8+ years of experience in machine learning or applied research, or a PhD with 4+ years of relevant industry experience., • Demonstrated success developing LLM training methods or systems that produce meaningful improvements on real-world tasks., • Deep expertise in LLM post-training, including supervised fine-tuning, reinforcement learning, on-policy distillation, reward modeling, and policy optimization., • Strong research judgment, including the ability to identify high-impact problems, design rigorous experiments, and make decisions from ambiguous results., • Experience taking research ideas from initial hypothesis through implementation, evaluation, and production deployment., • Proven ability to set technical direction, lead complex cross functional initiatives, and mentor other engineers.Preferred Qualifications:, • Publications, open source contributions, or other demonstrated research impact in reinforcement learning, LLM post-training, or agent learning., • Deep experience with distributed training, GPU optimization, and large-scale model training systems.Our Stack We strive to use the best tool for the job when building and deploying our production services. Sometimes that means writing our own custom code, and often it means leaning on the work of others. As part of building Serverless RL, we depend on the following libraries and frameworks (among many others): • Kubernetes, • Megatron, • Temporal, • Postgres, • FastAPIWondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why CoreWeave? We work hard, have fun, and move fast! We're in an exciting stage of hyper growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $207,000 to $275,000. 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. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • 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, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations 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: careers@coreweave.com. 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 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, • Ranked among the top 1% of teams locally, with an average deal size of $1,100,000+ Ready to Sell More Homes—Without Chasing Cold Leads? 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 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., • Storytelling & Influence: You are a strong communicator who can align executives, researchers, and partners around a clear narrative of why a product exists. You excel at turning ambiguity into prioritized backlogs, enforcing hard trade-offs, and driving tight experiment loops to get to the right answer faster. Academic Qualifications, • 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., • People Management: Prior experience directly managing Product Managers is a strong plus. Benefits IncludeComprehensive medical, dental, and vision benefits Bonus401K PlanGenerous paid time off, sick leave and holidaysPaid Parental LeaveEmployee Assistance Program*Life insurance and disability

Job Description About Knightscope Knightscope is a security technology company building the Nation’s First Autonomous Security Force. The Company combines autonomous machines, advanced software, and human expertise to help protect people, property, and critical infrastructure. Knightscope’s long-term mission is to make the United States of America the safest country in the world. About the Role In this role, you will own the full perception stack for our autonomous security robot platform, from raw LiDAR, camera, and thermal sensor data through 3D object detection, scene understanding, and persistent entity tracking. You will be a technical lead working across robotics, ML, and systems engineering to ship production-grade perception capabilities that power real-time threat detection, incident correlation, and evidence capture in the field. Location Requirement: Full-time, on-site at Sunnyvale HQ (No relocation provided) Key Responsibilities • Design, train, and deploy 3D perception models, object detection, segmentation, and multi-object tracking, from multi-modal sensor data (LiDAR, camera, thermal, radar) using state-of-the-art BEV and transformer-based architectures., • Own the end-to-end ML pipeline from large-scale data curation and annotation strategy through model training, optimization (TensorRT/CUDA), and real-time onboard deployment on edge compute., • Build persistent cross-sensor identity: the same person, vehicle, or license plate maintains a stable track across camera handoffs, patrol legs, and time, feeding entity correlation and incident generation downstream., • Design and implement evidence-first capture: pre/post-event clips, full-frame and crop media, and structured detection output that is replay-safe and analyst-ready., • Explore and integrate Vision-Language Models (VLMs) to enrich detection outputs with scene narration, anomaly reasoning, and long-tail incident understanding, moving K7 beyond bounding boxes toward analyst-ready scene descriptions., • Drive technical decisions on architecture, data strategy, and roadmap; mentor engineers across the team., • Design and run rigorous offline and closed-loop evaluations; define metrics for safety-critical perception performance across diverse real-world deployment environments. Required Qualifications • 7+ years of hands-on experience at an OEM, AV company, physical security platform, or robotics tech company shipping perception software to production., • Deep expertise in 3D computer vision: LiDAR/camera 3D object detection, point cloud processing, multi-view geometry, and sensor fusion., • Strong ML fundamentals, CNNs, Transformers, multi-task architectures, with production deployment experience (TensorRT, ONNX, CUDA optimization)., • Fluency in C++ (real-time systems) and Python; experience with ROS2 and simulation environments (CARLA, Isaac)., • Production-first mindset demonstrated ability to take models from research to deployed, real-world systems operating under real operational constraints. Preferred Qualifications • Exposure to vision-language models (VLMs): fine-tuning, prompting, or integrating VLM outputs into a perception pipeline for scene understanding or anomaly narration., • Familiarity with Vision-Language-Action (VLA) or end-to-end policy models that map sensor observations directly to robot actions, and interest in applying these to active confirmation and repositioning behaviors., • Experience with ALPR, face recognition, or ReID systems in deployed security or automotive contexts., • Familiarity with evidence integrity, chain-of-custody media, or tamper-evident capture pipelines., • Publications or open-source contributions in 3D CV, embodied AI, or autonomous systems., • MS or PhD in Computer Science, Robotics, Electrical Engineering, or related field. Compensation & Benefits • Base Salary: $240,000 to $275,000 (DOE), • Equity: Stock options, • Benefits: Medical, dental, vision, 401(k), paid time off, • Location Requirement: Full-time, on-site at Sunnyvale HQ

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 www.coreweave.com.What You'll Do: The OpenPipe team at CoreWeave is building tools to help agents learn from experience. This is a critical step to make agents reliable enough to perform long tasks autonomously, in the same way human employees are. We're systematically identifying and solving the major bottlenecks between today's tech and those future self-improving agents. So far, we've: • Released ART, the easiest library for getting started with RL., • Developed RULER, a general-purpose reward function that works across many diverse tasks., • Built Serverless RL, an elegant API that gives RL practitioners full control over their data, environment and reward function while letting them outsource the headaches of managing GPU infrastructure. These releases have a theme: we're systematically tackling each major roadblock to successfully training self-improving agents. Several serious challenges remain. Building simulated environments often requires substantial human labor, and existing training methods are not data efficient enough. We're laser-focused on solving these problems and making self-improvement a reality for agent developers. In startup terms, this is a classic hard-tech bet. Our roadmap involves substantial technical risk; there are still major technical problems we're facing without a proven solution. However, there is very little market risk. We've worked closely with the teams building agents at many of the top AI-native startups as well as large enterprises. If we can build this, everyone will want it. A self improving agent that learns from experience the way a human employee would could quickly capture a large fraction of the total inference market, which is worth tens of billions of dollars today and will be worth hundreds of billions in a few years. About the role: You have trained LLMs to be SOTA on specific tasks. You have opinions on whether sequence-level or token-level importance ratios are more effective. You probably shared the ScaleRL paper in your group chats, and kicked off a few ablations after you read it. This is an applied research role. You will be expected to generate and investigate research ideas towards solving the remaining obstacles to continuous learning in production. You will work with the broader OpenPipe team to validate these research directions across real customer tasks. We are very GPU rich and are ready to direct an enormous amount of compute at this effort. Beyond your role's specific qualifications, we're looking for strong engineers with great taste. The most important qualification by far is that you learn fast and can ship. This role will inevitably involve a lot of learning on the job; we're building this airplane as we fly it. Engineers on our team touch everything from CUDA kernels to high-performance LLM tracing dashboards, and you will have an opportunity to touch many parts of this stack. Although we operate as part of a larger company, the OpenPipe team is small, has a large degree of autonomy and drives our own roadmap and priorities. This is an excellent role for someone looking to found their own company in the future. Who You Are: • Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Robotics, or a related technical field., • 4+ years of experience in machine learning, or a PhD with 2+ years of relevant industry experience, with a strong focus on model training., • Strong programming skills in Python and hands on experience with modern ML frameworks such as PyTorch or JAX., • Strong understanding of LLM post-training techniques, including supervised fine-tuning, reinforcement learning, and on-policy distillation., • Experience developing, evaluating, and deploying machine learning models in production environments., • Strong research and problem solving skills, with the ability to work effectively in ambiguous, fast moving environments.Preferred:, • Publications, open source contributions, or demonstrated research impact in LLM post-training or agent learning., • Experience with distributed training, GPU acceleration, and large scale model training systems., • Experience leading technically complex projects or mentoring other engineers.Our Stack We strive to use the best tool for the job when building and deploying our production services. Sometimes that means writing our own custom code, and often it means leaning on the work of others. As part of building Serverless RL, we depend on the following libraries and frameworks (among many others): • Kubernetes, • Megatron, • Temporal, • Postgres, • FastAPIWondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why CoreWeave? We work hard, have fun, and move fast! We're in an exciting stage of hyper growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $182,000 to $242,000. 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. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • 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, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations 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: careers@coreweave.com. 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 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, • Masters in CS, EE or CSEE or equivalent experience with 2+ year working experienceVisa SponsorshipThis position is eligible for visa sponsorship. Benefits IncludeComprehensive medical, dental, and vision benefits Bonus401K PlanGenerous paid time off, sick leave and holidaysPaid Parental LeaveEmployee Assistance Program*Life insurance and disability

Job DescriptionMachine Learning Engineer Location: Santa Clara Full Time The Role We are looking for a Machine Learning Engineer to join our core team building scalable ML systems for real-world perception and embodied intelligence. In this role, you will work on end-to-end machine learning systems, spanning data collection, model training, evaluation, and deployment. You will collaborate closely with researchers, engineers, and product teams to turn complex real-world data into robust, production-ready ML solutions. This role is well-suited for engineers who enjoy working across the ML stack, are comfortable operating in ambiguous problem spaces, and are excited about applying modern deep learning methods to real-world perception, human-centric, and embodied AI problems.. Responsibilities • Design, build, and own end-to-end machine learning systems, from data exploration and model development to evaluation and deployment on large-scale, real-world data., • Apply state-of-the-art ML techniques to new problem domains and optimize models and pipelines for performance, efficiency, and reliability in production environments., • Drive measurable improvements in model performance, system robustness, and product capabilities through applied machine learning., • Collaborate closely with cross-functional teams to translate research ideas and product requirements into scalable ML solutions., • Contribute to technical design, code quality, and best practices, and help shape the long- term direction of the company’s machine learning platform. Minimum Qualifications • Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience., • 3+ years of experience building and shipping machine learning systems., • Strong proficiency in Python and experience with at least one major deep learning framework (e.g., PyTorch, TensorFlow)., • Solid understanding of modern deep learning concepts, training workflows, model evaluation, and experience working with real-world, production-oriented ML pipelines. • Strong problem-solving skills and ability to work effectively in a fast-moving, collaborative environment. Preferred Qualifications • PhD in a relevant field with a research focus in robot learning, embodied AI, or visual perception., • Experience with end-to-end ML systems, including data collection, training, inference, and deployment., • • Background in computer vision, perception, or multi-modal machine learning, including egocentric or human-centric perception., • Familiarity with large-scale training, experimentation infrastructure, or production ML systems., • Ability and interest in learning new problem domains, data modalities, and ML techniques quickly., • Publications in leading venues, open-source contributions, or demonstrated impact in applied ML or AI systems. What We Offer • Opportunity to work on challenging, high-impact projects the define the future of robotics and embodied AI., • A collaborative, innovative, and fast-paced work environment., • Competitive salary and options package., • A clear path for career growth in technical leadership., • Direct collaboration with leading experts in the field of robotics and AI. MaxInsights is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description https://sponsor.voya.com/static/sponsor/SponsorLogin.fcc?TARGET=https%3A%2F%2Fsponsor.voya.com%2Fsponsor%2Fsecure%2Fstart.action 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 www.morgancenter.org 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., • 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), • 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, • For example: DSP meetings, maintain minimum caseload, achieve minimum grade requirements, etc. Physical Demands 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 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 SummaryAs a Research Scientist in the Vision Language Model (VLM) team, your role will be central to advancing state-of-the-art multimodal foundation models that integrate visual understanding, reasoning, and agentic capabilities. You will work on the research and development of large-scale VLM systems, spanning model architectures, data recipes for pre-training and post-training, and evaluation benchmarks. The role combines cutting-edge research with practical engineering, emphasizing large-scale data processing, filtering, and weighting pipelines, distributed training systems, and reinforcement learning algorithms and systems for multimodal reasoning and agent development.Key Responsibilities Research and development of next-generation Vision Language Models across pre-training, instruction tuning, reasoning, and agents. Develop novel architectures and training methodologies for integrating visual understanding, language reasoning, and tool-use capabilities. Research efficient multimodal learning techniques, including data-efficient training, long-context modeling, model modularity, and inference optimization. Build and improve large-scale multimodal datasets, synthetic data generation pipelines, and evaluation benchmarks for VLM capabilities. Investigate multimodal reasoning, agentic behavior, OCR, grounding, document understanding, chart understanding, and visual question answering capabilities. Contribute to technical reports, research publications, and open-source software. Represent MBZUAI at research conferences and industry events, showcasing advancements in multimodal foundation models and large-scale AI systems. Mentor junior researchers and collaborate across teams to drive impactful research initiatives. Academic QualificationsPhD or equivalent research experience in Machine Learning, Computer Vision, Natural Language Processing, or Multimodal AI.Salary Range The posted salary range represents the company’s good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs. Professional ExperienceMinimum Experience working with large language models and/or vision-language models, including pre-training, fine-tuning, evaluation, or inference. Strong Python and PyTorch development skills for large-scale machine learning research. Experience with distributed training systems and large-scale model optimization. Familiarity with multimodal datasets and data processing pipelines involving images, text, and video. Understanding of modern deep learning architectures, including Transformers, attention mechanisms, and multimodal fusion techniques. Experience with ML infrastructure, including model evaluation, debugging, optimization, and large-scale experimentation. Problem-solving and research skills with the ability to independently drive research/engineering projects. Effective communication and collaboration skills for working across research and engineering teams. Preferred Skills Hands-on experience training or fine-tuning large Vision Language Models or multimodal foundation models at scale. Experience with distributed learning frameworks and infrastructure such as PyTorch Distributed, Megatron, Triton, or CUDA. Research experience in multimodal reasoning, agentic systems, tool use, OCR, grounding, document understanding, or multimodal retrieval. Experience with synthetic data generation, multimodal data curation, or automated evaluation frameworks for VLMs. Familiarity with efficient training and inference techniques such as FlashAttention, quantization, tensor parallelism, pipeline parallelism, or memory optimization. Experience contributing to open-source ML software and large-scale research codebases. Strong publication record in leading AI conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, or related venues. Experience collaborating across research, infrastructure, and product-oriented teams to deliver state-of-the-art multimodal systems.

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, • Experience working with autonomous vehicles or robotics Salary Range: • $160,000 - $200,000 a yearOur compensations (cash and equity) are determined based on the position, your location, qualifications, and experience. Your opportunities joining PlusAIWork, learn and grow in a highly future-oriented, innovative and dynamic field.Wide range of opportunities for personal and professional development.Catered free lunch, unlimited snacks and beverages.Highly competitive salary and benefits package, including 401(k) plan. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 DescriptionAbout Us At Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to everyone. Our mission is to remove the limits of scale, hardware, and cost that hold back innovation, so the people solving humanity's hardest problems can move faster. We're building a new kind of software stack: a hardware-agnostic platform that makes every system — from a laptop to a supercomputer — feel like one seamless engine. Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any cloud, at any scale. It's a complete rethink of how software and hardware interact — designed for the era beyond Moore's Law. We're not looking for the comfortable or the conventional; we're looking for the bold. The engineers who crave frontier problems, who want to bend the limits of what's possible, who see infrastructure not as a constraint but as a canvas. If you want to build the foundation for the next era of AI and change what humanity can achieve in the process, join us. About the Role We are building a domain-specific language and compiler toolchain for programming machine learning models. As a Senior DSL Compiler Engineer, you will focus on the compiler frontend: scanning, parsing, AST design and construction, compiler passes, type and shape inference, and error and warning reporting. You should be deeply comfortable reasoning about object ownership and lifecycle management in C++, and be prepared to work within a custom ARC system with semantics similar to the standard smart pointer types. What You'll Do • Design and implement compiler frontend components including the lexer, parser, abstract syntax tree, and compiler passes., • Design and implement type inference and shape inference systems for the DSL., • Design clear, actionable error and warning diagnostics that help users understand and resolve problems in their programs., • Work within and extend a proprietary automatic reference counting system that governs memory management across the frontend., • Participate in code reviews to maintain code quality and ensure sound design decisions., • Collaborate through pair programming sessions., • Contribute to the full software engineering lifecycle: product specification, requirements gathering, high-level design, low-level design, implementation, and testing., • Help inform the design of future DSLs as the platform expands to other scientific computing domains.RequirementsEssential Skills and Experience, • BS degree in Computer Science, Computer Engineering, or equivalent practical experience, • Extensive experience designing and implementing domain-specific languages., • Deep expertise in compiler frontend engineering: lexical analysis, parsing, AST design, semantic analysis, and compiler passes., • Strong experience with type inference and shape inference systems., • Strong professional C++ background with modern C++ standards., • Deep understanding of automatic reference counting concepts and object lifetime management in C++, including thorough familiarity with the semantics of sharedptr, weakptr, and unique_ptr. The frontend uses a proprietary ARC implementation with similar semantics, and you must be comfortable reasoning about ownership, reference cycles, and clean teardown in this kind of system., • Experience designing compiler diagnostics (errors and warnings) that are clear and useful to end users., • Experience across the full software engineering lifecycle: product specification, requirements gathering, high-level design, low-level design, implementation, and testing., • General familiarity with GPUs or other accelerator devices and their role in high-performance computing and machine learning workloads.Preferred Skills and Experience, • Master's or PhD in Computer Science, Computer Engineering, or equivalent, • Experience with or willingness to use AI-assisted code generation tools in day-to-day development., • Familiarity with PyTorch or similar machine learning frameworks., • Experience with Python language internals or strategies for subsetting Python-like languages.Why Join Lemurian Labs, • Own a critical layer of our compiler stack where optimization decisions have direct, measurable impact on model performance, • Work on the hardest graph-level problems in AI infrastructure — across diverse hardware targets and model architectures, • Collaborate with a team that treats infrastructure as a canvas and optimization as a craft, • Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits Lemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background. Compensation depends on experience and geographic location and will be narrowed during the interview process. Additional benefits include equity, company bonus opportunities, medical, dental, and vision coverage, a retirement savings plan, and supplemental wellness benefits.

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., • Research contributions to top-tier conferences or journals (e.g., ICML, ICLR, NeurIPS, ACL, CVPR, COLM, etc.), with published work in relevant domains. Visa SponsorshipThis position is eligible for visa sponsorship. Benefits IncludeComprehensive medical, dental, and vision benefits Bonus401K PlanGenerous paid time off, sick leave and holidaysPaid Parental LeaveEmployee Assistance Program*Life insurance and disability

Job DescriptionAbout Us At Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to everyone. Our mission is to remove the limits of scale, hardware, and cost that hold back innovation, so the people solving humanity's hardest problems can move faster. We're building a new kind of software stack: a hardware-agnostic platform that makes every system — from a laptop to a supercomputer — feel like one seamless engine. Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any cloud, at any scale. It's a complete rethink of how software and hardware interact — designed for the era beyond Moore's Law. We're not looking for the comfortable or the conventional; we're looking for the bold. The engineers who crave frontier problems, who want to bend the limits of what's possible, who see infrastructure not as a constraint but as a canvas. If you want to build the foundation for the next era of AI and change what humanity can achieve in the process, join us. About the Role We're looking for a Compiler Code Generation Engineer to design and build the core code generation capabilities inside our high-performance, portable AI compiler. This is a foundational engineering role where you'll work directly on the subsystems that translate high-level ML computations into optimized machine code across heterogeneous hardware targets. If you love digging into instruction selection, register allocation, and low-level target-specific optimization and you want that work to matter at the scale of the next era of AI infrastructure, this role is for you. What You'll Do • Design, develop, maintain, and improve our heterogeneous AI compiler., • Design and implement new code generation capabilities based on our novel compiler architecture., • Propose improvements and extensions to our compiler architecture in response to advances in ML model design and hardware., • Apply the latest techniques in parallelization and partitioning to automate kernel generation and exploit highly optimized execution paths., • Use performance data to identify optimization opportunities and drive measurable improvements., • Collaborate with our product team to understand the evolving needs of ML engineers and translate those needs into architectural improvements.RequirementsEssential Skills and Experience, • BS degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience., • 4+ years of experience working with compilers., • Deep knowledge of compiler algorithms and data structures., • Experience with and genuine interest in low-level code generation, object file manipulation, and target-specific optimizations., • 4+ years of experience with C/C++., • Strong written and verbal communication skills; ability to write clear and concise technical documentation.Preferred Skills and Experience, • Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent., • Knowledge of traditional compiler techniques: instruction selection, register allocation, dominance analysis, def-use chains., • Familiarity with calling conventions, APIs, linking, and relocations., • Working knowledge of LLVM., • Experience with loop optimizations, vectorization, unrolling, fusion, and parallelization., • Experience with machine learning workloads and their hardware demands.Why Join Lemurian Labs, • Work on compiler infrastructure that runs AI at scale across every major hardware platform., • Tackle deep, unsolved technical problems alongside a team that prizes craft and rigor., • Be part of building sustainable AI infrastructure that genuinely moves the needle., • Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits. Lemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background. Compensation depends on experience and geographic location and will be narrowed during the interview process. Additional benefits include equity, company bonus opportunities, medical, dental, and vision coverage, a retirement savings plan, and supplemental wellness benefits.

Job DescriptionIn a world of noise, we find the signal — the pulse of potential. We weave the strands of talent, vision, and purpose into organizations that endure. Blending intelligence with intuition, we honor the human art of connection at the heart of every great company.About the Job Signal & Strand is partnering with a leading global manufacturer in the power and interconnect space to hire a Safety Agency Engineer. This role serves as the central authority for global compliance, ensuring products meet international safety standards and achieve certification for worldwide market access. This position is critical in enabling high-power products, including data center infrastructure and EV-related systems, to successfully navigate complex regulatory environments. The Mandate • Own global safety compliance and certification strategy across product lines, • Act as the primary interface with international safety agencies, • Ensure product designs meet evolving global standards and regulatory requirements, • Drive efficient, on-time certification to support global product launchesKey Responsibilities, • Conduct safety reviews of high-voltage and high-power product designs to ensure compliance with IEC, UL, and related standards, • Lead end-to-end certification efforts, including application, testing, and approval processes, • Serve as the primary technical liaison with agencies such as UL and TÜV, • Monitor changes in global safety standards and drive internal adoption across engineering teams, • Evaluate designs for electrical safety, insulation coordination, temperature rise, and fire protection requirements, • Review structural drawings using CAD tools to assess safety spacing and compliance, • Manage multiple certification programs across regions, ensuring alignment with varying regulatory requirementsIdeal Profile, • Background as a Compliance Engineer, Certification Engineer, or Quality Assurance Engineer within power supply, electronics, or connector industries, • Proven experience managing global safety certifications end-to-end across multiple product lines, • Hands-on experience working with international agencies such as UL and TÜV, including successful product certifications, • Strong understanding of high-power product safety requirements, including electrical safety, insulation, thermal performance, and fire protection, • Experience with products such as server power supplies, EV charging systems, or similar high-power applications, • Familiarity with global certification standards (UL/cUL, TÜV, CE, PSE) and regional differences, • Experience working in a testing lab or deep familiarity with compliance testing methodologies, • Proficiency in CAD tools for design review and safety evaluation, • Bachelor's degree or higher in Electrical Engineering, Electronic Engineering, Mechanical Engineering, or a related fieldLocation & Work Model, • Location flexible depending on business needs, • On-site or hybrid model aligned with lab access and cross-functional collaboration, • Global and Domestic Travel RequiredCompensation, • $80,000 to $110,000 base salary + Bonus, • Compensation is benchmarked internally and flexible based on experience and qualificationsBase Compensation Range$80,000—$110,000 USD Equal Opportunity & Non-Discrimination Statement Signal and Strand is an Equal Opportunity Employer. We—and our clients—do not discriminate in employment or contracting on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, military or veteran status, or any other characteristic protected under applicable federal, state, or local laws. We comply fully with the provisions of the U.S. Equal Employment Opportunity Commission (EEOC) and the California Fair Employment and Housing Act (FEHA). All employment decisions are made based on qualifications, merit, and business needs. We are committed to providing a workplace that is inclusive, respectful, and free from discrimination, harassment, and retaliation.

Job Description About NIO NIO Inc. is a pioneer and a leading company in the global smart electric vehicle market. Founded in November 2014, NIO aspires to shape a sustainable and brighter future with the mission of “Blue Sky Coming”. NIO envisions itself as a user enterprise where innovative technology meets experience excellence. NIO designs, develops, manufactures and sells smart electric vehicles, driving innovations in next-generation core technologies. NIO distinguishes itself through continuous technological breakthroughs and innovations, exceptional products and services, and a community for shared growth. NIO provides premium smart electric vehicles under the NIO brand, premium smart electric vehicles for families through the ONVO brand, and small smart high-end electric cars with the FIREFLY brand. Responsibilities • Architect the Hybrid AI Vision: Lead the architectural design and strategic vision for hybrid inference systems, dynamically distributing Large Language Model (LLM) and Vision-Language Model (VLM) workloads across edge computing environments and cloud infrastructure., • Team Leadership & Innovation: Lead, mentor, and inspire a team of specialized engineers working across distributed systems orchestration, inference optimization, and AI compiler engineering. While you are not expected to be a hands-on master of every domain, you will drive the overarching technical roadmap, foster a culture of cutting-edge innovation, and guide domain experts in navigating complex system tradeoffs., • Design Dynamic Orchestration & Resilience: Oversee the architecture of high-availability orchestration engines that intelligently route inference tasks. Guide the team in developing cascading inference mechanisms, dynamic model fallback strategies, and robust telemetry to ensure continuous, steady-state inference under varying connectivity constraints.Qualifications, • Education & Experience: Ph.D. in Computer Science, Computer Engineering, Artificial Intelligence, or a related field with 8+ years of relevant industry experience (or Master’s degree with 12+ years), including proven experience leading technical teams or driving complex architectural roadmaps., • End-to-End Systems Leadership (T-Shaped Profile): Demonstrated capability to lead full-stack AI systems engineering. You possess deep, hands-on mastery in at least one or two of the following core domains, coupled with the comprehensive systemic breadth required to effectively lead engineers working across the others:, • Distributed Systems & Hybrid Inference: Designing, scaling, and deploying production-grade distributed ML systems. Balancing cloud infrastructure with edge constraints using modern routing paradigms, such as cascading inference architectures and semantic routing., • Algorithmic & Inference Optimization: Proven experience optimizing state-of-the-art LLM/VLM inference pipelines. Deep understanding of model compression (e.g., PTQ, QAT, AWQ, FP8/INT4), hardware-aware compute optimizations (e.g., FlashAttention), and advanced memory management (e.g., PagedAttention, KV cache compression/eviction)., • Advanced Systems & Compiler Engineering: C++ and production-grade Python proficiency. Deep understanding of edge/cloud model-serving frameworks (e.g., vLLM, TensorRT-LLM, ExecuTorch, MLC-LLM) and AI compilers (e.g., MLIR, Apache TVM, Triton) for compute graph optimization and custom kernel development. Preferred Qualifications • Privacy & Security: Deep understanding of privacy-preserving AI techniques (federated learning, differential privacy, secure enclaves) essential for processing sensitive data across edge and cloud environments., • Community Engagement & Open Source: Publications in relevant AI, ML, or systems conferences (e.g., NeurIPS, ICML, MLSys), or active contributions to open-source ML infrastructure projects (e.g., vLLM, ONNX Runtime, Apache TVM, llama.cpp).Benefits Along with competitive pay, as a full-time NIO employee, you are eligible for the following benefits on the first day you join NIO: • Anthem Blue Cross, HSA, and Kaiser HMO medical plans with $0 for Employee Only Coverage., • Dental (including orthodontic coverage) and vision plan. Both provide options with a $0 paycheck contribution covering you and your eligible dependents., • Company Paid HSA (Health Savings Account) Contribution when enrolled in the High Deductible Anthem Blue Cross medical plan, • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401(k) with Brokerage Link option, • Company paid Basic Life, AD&D, short-term and long-term disability insurance, • Employee Assistance Program, • Sick and Vacation time, • 13 Paid Holidays a year, • Paid Parental Leave for first 8 weeks at full pay (eligible after 90 days of employment with NIO), • Paid Disability Leave for first 6 weeks at full pay (eligible after 90 days of employment with NIO), • Voluntary benefits including: Voluntary Life and AD&D options for you, your spouse/domestic partner and dependent child(ren), pet insurance, • Commuter benefits, • Mobile Cell Phone Credit, • Free lunch and snacks, • Onsite gym, • Employee discounts and perks programCompensationThe US base salary range for this full-time position is $192,100.00 - $249,600.00. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only. It does not include discretionary bonus, equity, or benefits. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 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. Autonomous Driving – Internship in Machine Learning At Bosch, “Invented for Life” is what drives us and our vision of global future mobility. Bosch has an outstanding track record on pioneering key technologies worldwide which shapes the way we move. The next big milestone in our sight is to make autonomous vehicles a reality, bringing its benefits to today's roads. We are looking for students in the machine learning and software development space who are interested in solving the hardest problems in the development and productization of automated driving with us. Job Description We are looking for an accomplished student in the ML space with strong technical skills to work with us on the design, implementation, training and roll-out the next generation of AI-enabled robotics test system, a core component of the realization of self-driving vehicles. As an intern on the team, you will be working on all important aspects of the implementation to enable our R&D teams. Responsibilities include: • Design, implement and roll-out important aspects of our state-of-the-art robotics test framework, enabling the execution of sophisticated test campaigns on various hardware setups, • Define and execute the integration of AI features for test management and execution, • Work on data pipelines, model training and validation, and performance evaluation, • Support the integration and testing of our framework, as well as its continuous operation in production, • Continuously drive innovation by bringing the latest developments in academia to the table and evaluate them as potential candidate for the next versionQualifications Qualifications: At least a Bachelor's degree in CS, CE, E/E or comparable related to ML/AI • Strong coding skills in python, • Hands-on experience with Pytorch for model development, training and testing in a Linux environment, • Solid understanding of machine learning fundamentals and hands-on experience with training and fine-tuning models., • Strong understanding of the machine learning lifecycle—from data preprocessing and model training to evaluation, deployment, and monitoring, • Experience with state-of-the-art model architectures, including transformers, CNNs, LSTMs, RAG…, • Familiarity with raw data as well as meta-data management system (e.g. Databricks), • Experience with machine learning platforms like Azure ML, • Usage of modern API frameworks as well as MCP servers, • Strong communication and team collaboration skills, • Minimum GPA of 3.0 Bonus points: • Familiarity with open-source Robot Framework, • Understanding of the technologies behind self-driving vehicles and/or general robotics, • Familiarity with agile working methodologies and tools (e.g. ADO), • Strong feel of ownership for high quality results Additional Information Equal Opportunity Employer, including disability / veterans The U.S. base salary range for this intern position is $34.00-$68.00 per hour. 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 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.

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 www.morgancenter.org 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., • Other duties as assigned 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 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.), • Experience working as a credentialed teacher in a special ed classroom Physical Demands 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, • $75,000 - $95,000 Annually 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, • 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. Powered by JazzHR kgPbqqdzLu

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 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 7+ years experience or Masters 5+ years of experience or PhD 3+ years experience Computer/Electrical Engineering and 2+ years experience Architecture 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, • Knowledge of ARM Processors and AXI Interconnects PREFERRED: • 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 jobs.accommodations@sandisk.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 05/20/2026 (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 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 hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. 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 modern ML and LLM model architectures. 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 Unlimited compute budget subject to ROI justification How we’re different: Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors. 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 and work across disciplines as needed. Compensation Range: $150K - $275K

Job Description About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. 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 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. Develop and maintain a fully programmable infrastructure control plane to ensure reproducibility, auditability, and rapid iteration across the entire stack. Create tools and abstractions that empower engineers to harness massive parallelism without worrying about the underlying complexity.. 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. 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 Unlimited compute budget subject to ROI justification How we’re different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors. 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 and work across disciplines as needed. Compensation Range: $150K - $250K

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 IncludeComprehensive medical, dental, and vision benefits Bonus401K PlanGenerous paid time off, sick leave and holidaysPaid Parental LeaveEmployee Assistance Program*Life insurance and disability

About Us \n GMI Cloud is a fast-growing AI infrastructure company backed by Headline VC and one of only seven cloud providers worldwide to earn NVIDIA's prestigious Reference Platform Cloud Partner designation. We operate 8 of our own GPU clusters across the U.S. and Asia, delivering a full spectrum of services from GPU compute to AI model inference API solutions. As an NVIDIA Reference Platform Cloud Partner, our infrastructure meets the highest standards for performance, security, and scalability in AI deployments. We empower AI startups and enterprises to "build AI without limits," providing everything they need to prototype, train, and deploy AI models quickly and reliably. \n About this role \n \n GMI Cloud is building the leading inference optimization solution and the most advanced token platform in the global token market — and we are hiring world-class Machine Learning Engineers to make GMI the new industry benchmark for LLM serving performance, cost efficiency, and production reliability. \n \n This role is for engineers who want to live at the frontier of LLM inference systems. You will drive the research, validation, and productionization of the most advanced inference optimization techniques, and turn them into real competitive advantage over top open-source baselines (vLLM, SGLang, and so on). Our charter is not just to adopt what's published — it is to define the recipes, ship the optimizations, and contribute back to the community that the rest of the industry follows. \n \n You will focus on B200-first optimization, with support for H200 evolution, across core domains including quantization, speculative decoding, KV cache and memory management, prefill/decode disaggregation, and system-level inference optimization. You will work closely with platform and infrastructure teams to transform cutting-edge ideas into measurable gains in latency, throughput, cost efficiency, and production scalability. \n \n Key Responsibilities \n\n • Drive frontier research and engineering in LLM inference optimization across one of the four focus tracks (Speculative Decoding, Quantization, PD Disaggregation, KV Cache & Memory) while contributing across the full optimization stack.\n, • Develop next-generation optimization strategies for large-scale LLM serving across model execution, runtime systems, and production inference platforms — with B200 as the primary target and H200 as a continuing platform.\n, • Advance state-of-the-art techniques in quantization (NVFP4 / MXFP4 / FP8, QAT), speculative decoding (EAGLE-3, MTP, DFlash, ModelOpt, SpecForge), KV cache & memory management (LMCache / HiCache / NV KVBM, paged attention, prefix-aware routing), and PD disaggregation (NVIDIA Dynamo, KV-aware router/planner, fault recovery).\n, • Drive system-level optimization across scheduling, batching, routing, gateway orchestration, adapter serving, and end-to-end inference efficiency.\n, • Build scalable optimization frameworks, performance methodologies, and benchmark infrastructure that allow GMI to stay ahead of the industry as models, hardware, and serving patterns evolve.\n, • Productionize cutting-edge ideas into real customer workloads — measured by TTFT, ITL, throughput, goodput, tail latency, quality, and unit token cost.\n, • Engage with and contribute to the open-source community (vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo / ModelOpt, FlashInfer, LMCache, etc.) — read upstream code, file issues, send PRs, and publish tech blogs and case studies.\n, • Collaborate closely with platform, infrastructure, and product teams to make inference optimization a core technical advantage of GMI Cloud.\n\n \n Required Skills \n\n • Strong hands-on experience with LLM inference systems and performance optimization on modern GPUs.\n, • Solid understanding of inference metrics and tradeoffs, including TTFT, ITL, throughput, goodput, tail latency, GPU utilization, memory efficiency, and quality/cost tradeoffs.\n, • Experience with one or more modern serving stacks such as SGLang, vLLM, TensorRT-LLM, NVIDIA Dynamo, or Triton.\n, • Deep familiarity with GPU-based inference, model serving architecture, and production bottlenecks around compute, memory bandwidth, KV-cache behavior, and scheduling.\n, • Demonstrable depth in at least one of the four focus areas: speculative decoding, quantization & precision, PD disaggregation, or KV cache & memory management.\n, • Strong experimentation skills: able to design benchmarks, interpret results, debug regressions, and produce actionable conclusions rather than isolated microbenchmark wins.\n, • Proficient with Claude Code at an advanced level — fluent with sub-agents, MCP servers, hooks, custom slash commands, and skills — with practical experience leveraging them for rapid iteration, profiling, observability, and performance debugging.\n, • Clear communication — able to explain technical tradeoffs to engineers and cross-functional stakeholders, and willing to publish results externally.\n\n \n Preferred Qualifications \n\n • 2+ years of hands-on experience in LLM inference optimization, ML systems optimization, or PhD degree in related areas.\n, • Track record of large-scale model serving optimization (latency reduction, throughput improvement, memory efficiency, cost-performance tuning) in production.\n, • Specific track depth in one or more of:\n, • Speculative Decoding: EAGLE-3 / MTP / DFlash / Medusa / SpecForge / ModelOpt; experience training and shipping draft models for production.\n, • Quantization & Precision: NVFP4 / MXFP4 / FP8 / INT4-AWQ / GPTQ; QAT pipelines on Blackwell or Hopper; rigorous accuracy benchmarking.\n, • PD Disaggregation: NVIDIA Dynamo, KV-aware router/planner, large MoE serving (DeepSeek-V3/V4, Kimi, GLM, Minimax), fault recovery, autoscaling.\n, • KV Cache & Memory: LMCache / HiCache / NV KVBM, paged attention internals, prefix-aware routing, long-context and agentic workloads.\n, • Familiarity with FlashInfer, Blackwell MLA, FA4, TRT-LLM MLA, or NSA is a strong plus.\n, • Open-source contributions to vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo / ModelOpt, FlashInfer, LMCache, or related projects.\n, • Experience publishing technical blogs, case studies, or papers on inference optimization.\n

Job Description On Lok PACE We are a non-profit committed to our participants. Dedicated to The Care of Elders: PACE (Program of All-Inclusive Care for the Elderly) was developed to answer the many problems around caring for frail seniors. The PACE model is centered on the belief that it is better for the well-being of seniors with chronic care needs and their families to be served in their community whenever possible. Seniors, their family members, and caregivers face many issues, including transportation to appointments, management of medications, coordination of medical care from different specialists, lack of social interaction, and ability to stay alone at home. On Lok PACE participants receive in home care services and transportation to a On Lok PACE center for primary medical care, social and recreational activities, and other senior care services. We understand the importance of a system that works together. Your expertise, drive and passion can help us carry out our mission to improve lives and advance healthcare. Join our team of leaders to begin a rewarding career! POSITION SUMMARY: Under the direction and supervision of the Program Manager, Activity Specialist, and Activity Therapist, the Activity Leader plans, develops, implements, and oversees activity services for On Lok participants. DUTIES / RESPONSIBILITIES: • Evaluates and implements creative and individualized participant care plans. Trains activity aides'delegates assignments and supervises their performance., • Plans and offers varied monthly programs and uses group and individual oriented interventions to maximize participants' cognitive and functional abilities. Offers therapeutic activities for daily for participants with special needs., • Works with Activity Therapist & Specialist to plan and implement monthly community outings and special events. Work with Volunteer Coordinator to recruit and orient appropriate volunteers for specific recreation activities., • Documents participant involvement in activities and revises their care plan as needed., • Participate in task/committee, special projects, as assigned by Activity Specialist., • Actively participates in team discussions offering feedback, ideas and suggestions both on a day-to-day basis and in monthly department staff meetings., • Consults with supervisor & activity therapist regarding participant care plans, • Other related duties as assigned. QUALIFICATIONS (knowledge, skills, abilities): • Minimum of two years' experience in a social, recreational or educational program within the past five years, one year which was full time working in a health care setting; OR have completed at least 36 hours of training in a course designed for activity leadership from an accredited college; OR be an occupational therapist, art therapist, music therapist, dance therapist, recreation therapist, occupational therapy assistant or a qualified social worker, • One-year experience working with the elderly or frail population required., • Ability to work as part of a diverse team., • Stability, maturity, creativity and flexibility in work., • Ability to work with volunteers and contract staff., • Written and oral fluency in English is required; bilingual (Cantonese or Spanish) preferred. The above statements are intended to describe the general nature of work performed. They are not considered as an exhaustive list of all job tasks performed. On Lok reserves the right to change job descriptions, work hours or work sites as required by the program. On Lok's Employee Benefits include (eligible for any regular position for 20 hr/wk or more): • Medical, Dental, and Vision coverage, • Retirement Savings Plan 403(b) and Term Life/AD&D Insurance, • Flexible Spending Account, Commuter Benefits, Pet Insurance, and Employee Discount Program, • Mental Wellness Resources and Employee Assistance Program (EAP), • Holidays (10 per year), vacation time, sick leave, long-term disability insurance, and additional benefits are available. Pursuant to the San Francisco Fair Chance Ordinance, and state and federal laws (including federal PACE requirements at 42 CFR 460.64(a); 460.68(a), we will consider for employment qualified applicants with arrest and conviction records. On Lok is an equal opportunity employer committed to a diverse and inclusive workforce. All applicants will receive consideration for employment without regard to sex (including pregnancy), race, religion, color, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, disability, medical condition, genetic information, marital status, age, military or veteran status, or any other legally protected status. If you require reasonable accommodation to participate in the job application or interview process, to perform essential job functions and/or to receive other terms, privileges or benefits of employment please contact Talent (talent@onlok.org). Job Posted by ApplicantPro

Job Description About Us We are an accelerating force in the insurance and financial planning sector, celebrated for our drive, supportive atmosphere, and dedication to quality. Honored twice by Entrepreneur Magazine for our outstanding organizational environment, we consistently boast exceptional candidate feedback and high ratings across Glassdoor and Indeed. Furthermore, our proven market growth has earned us a distinguished position on the Inc. 5000 list for six consecutive years, alongside a recent feature in Forbes highlighting our innovative approach and industry leadership. What You’ll Do • As a member of our high-energy team, you will benefit from continuous coaching and professional development designed to elevate your career. Your daily responsibilities will include:, • Collaborative Development: Partnering with seasoned leaders within an encouraging and cooperative team environment., • Client Needs Assessment: Connecting with pre-screened clients to evaluate their financial goals and coverage requirements., • Virtual Consultations: Conducting professional online meetings and phone consultations to advise prospective clients., • Strategic Planning: Developing custom financial protection and insurance strategies tailored to individual client objectives., • Portfolio Presentation: Delivering clear, confident proposals to secure business and establish long-term client relationships. What Makes Us Different • We prioritize strategic effort over sheer grind. Here is how we stand out from the competition:, • Schedule Autonomy: Enjoy flexibility over your calendar, typically structured around 3 to 4 high-impact workdays weekly., • Qualified Pipeline: Benefit from zero cold calling through direct access to a steady stream of interested, pre-qualified prospects., • No-Cost Education: Gain unlimited access to extensive digital learning libraries and real-time professional guidance., • State-of-the-Art Resources: Utilize complimentary, advanced digital sales platforms and proprietary technology tools., • Executive Mentorship: Master your craft through structured, direct coaching alongside experienced industry authorities., • Elite Rewards: Qualify for fully compensated, annual global excursions and conferences designed for our leading producers. Role Overview • Product Focus: This position centers on delivering key wealth-preservation vehicles, including Indexed Universal Life (IUL), annuities, and essential life insurance., • Ideal Candidate: This opportunity is engineered for self-motivated professionals seeking the freedom of business ownership, backed by an established, turnkey corporate framework., • Compensation Structure: Operating on a high commission-based model, this position leverages a performance-based earning structure where your overall compensation is directly aligned with the results you generate., • If you are eager to claim ownership of your professional path, unlock uncapped earning potential, and make a lasting difference in the lives of families, we want to meet you. Submit your application today to begin your path to professional freedom!

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 Director of Recreation/Activities plans, coordinates, and implements a therapeutic recreation/activities program on a regular basis to meet the individual client's needs and interests. Schedule: • Full Time Qualifications: • Must be registered or eligible for registration as an occupational therapist, music therapist, dance therapist, art therapist, or recreation therapist., • Must have two (2) years experience in a social or recreational program within the past five (5) years, one year of which was full-time in a client activities program in a health care setting or Bachelor's degree in therapeutic recreation who is registered or eligible for registration as a recreation therapist by the California Board of Parks and Recreation Certification or the National Council for Therapeutic Recreation Certification., • California driver's license., • Current CPR certification Crestwood Offers Comprehensive Benefits Packages to Full-Time Employees, including: • 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, • Jury Duty Pay About the Campus: The Crestwood Center San Jose Psychiatric Health Facility (PHF) on our San Jose campus is in close proximity to the mental health support services in Santa Clara County. The San Jose PHF provides a spacious environment, with two living rooms, a welcoming room, visiting space, serenity room, dining room and a beautiful courtyard. The program is dedicated to restoring a sense of hope, self-empowerment and recovery in each of our clients. The San Jose PHF is designed for clients who require stabilization at a time of acute psychiatric crisis. We provide medication management, WRAP, DBT support, welcoming rituals, behavioral interventions, psychotherapy, psychosocial education and a thorough transition plan to enable a successful return to the community. Mental Health Rehabilitation Centers (MHRCs) provide psychosocial rehabilitation programs in secure, residential settings with a focus on brief lengths of stay. The salary range listed below represents the minimum and maximum base pay per hour at the time of posting. Final salary offered to the candidate selected for the position will be based on factors including but not limited to candidate's skills, experience, licensure, and program acuity. Pay Range: $104,000 - $113,651 USD 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. 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 HR@CBHI.net. 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 www.e-verify.gov.

Dexmate is building the foundation for physical AI a unified platform that combines high-quality robotic hardware with a universal Physical AI OS, making robots as easy to build and deploy as software. Today, robotics is fragmented, slow, and closed: most builders are forced to reinvent the same stack again and again, and most ideas never make it past the prototype stage. We exist to change that. Our mission is to democratize robotics by lowering the barrier to entry, delivering a plug-and-play platform for developers, researchers, and enterprises, and cultivating an open ecosystem that accelerates the evolution of physical AI. If you want to help shape the next layer of human capability and believe the future of robotics should be built together, not in isolation we'd love to build it with you. • 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., • 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.

Description Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video subscriptions such as Apple TV+, HBO Max, Peacock, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video team member, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You'll get to work on projects that are fast-paced, challenging, and varied. You'll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We'll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! Key job responsibilities As an Applied Scientist at Prime Video, you will have end-to-end ownership of the product, related research and experimentation, applying advanced machine learning techniques in computer vision (CV), Generative AI, multimedia understanding and so on. You'll work on diverse projects that enhance Prime Video's content localization, image/video understanding, and content personalization, driving impactful innovations for our global audience. Other responsibilities include: - Research and develop generative models for controllable synthesis across images, video, vector graphics, and multimedia - Innovate in advanced diffusion and flow-based methods (e.g., inverse flow matching, parameter efficient training, guided sampling, test-time adaptation) to improve efficiency, controllability, and scalability. - Advance visual grounding, depth and 3D estimation, segmentation, and matting for integration into pre-visualization, compositing, VFX, and post-production pipelines. - Design multimodal GenAI workflows including visual-language model tooling, structured prompt orchestration, agentic pipelines. A day in the life Prime Video is pioneering the use of Generative AI to empower the next generation of creatives. Our mission is to make world-class media creation accessible, scalable, and efficient. We are seeking an Applied Scientist to advance the state of the art in Generative AI and to deliver these innovations as production-ready systems at Amazon scale. Your work will give creators unprecedented freedom and control while driving new efficiencies across Prime Video's global content and marketing pipelines. This is a newly formed team within Prime Video Science! Basic Qualifications - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually

At Under Armour, we are committed to empowering those who strive for more. The company's valuesAct Sustainably, Celebrate the Wins, Fight on Together, Love Athletes, and Stand for Equalityserve as both a roadmap for our teams and the qualities expected of every teammate. Our values define and unite us, the beliefs that are the red thread that connects everyone at Under Armour. Our values are rallying cries, reminding us why we are here, and fueling everything we do. Our pursuit of better begins with innovation and with our team's mission of being the best. With us, you get the freedom to go furtherno matter your role. That means developing, delivering, and selling the state-of-the-art products and digital tools that make top performers even better. $17.75 - $19.98 per hour! Our Seasonal Stock Teammates keep the ball moving in our stores during our busiest seasons, making sure our products are always available for our customers. The Stock Teammate is responsible for maximizing selling potential by ensuring the efficient and effective flow of merchandise from the stockroom to the sales floor. The Stock Teammate is accountable for delivering on all aspects of stockroom standard operating procedures (SOP) and achieving the brand standards for shipment processing, replenishment, markdowns, and merchandising. If you're looking for opportunities to earn money and stay busy during your summer or holiday break, we're looking for you! We count on our Stock Teammates to: • Process merchandise shipments, • Replenish the sales floor, • Manage markdowns and re-ticketing, stock transfers, and damaged goods, • Keep the stockroom and the sales floor stocked, clean, and organized To be considered for this role, you must meet these minimum requirements: • At least 18 years old, • Available to work a flexible schedule, • Comfortable with or willing to learn technology (such as computers, hand-held, and mobile devices), • Strong communication skills, • Ability to perform essential functions of the role You'll be considered an elite candidate if you also have: • Previous experience in a warehouse or inventory management role (preferred, not required) Perks our Seasonal Part-Time Stock Teammates receive: • Generous teammate discount, • Ability to participate in special contests with opportunity to win merchandise and other exclusive prizes, • High-energy and inclusive environment, working alongside people who aren't afraid of a challenge and appreciate the power of a team, • Priority consideration to return for future seasonal hiring periods, • Opportunities for regular part-time and full-time roles, • Flexible work schedules available The Stock Associate contributes to store sales and KPI targets by maximizing selling potential through ensuring the efficient and effective flow of merchandise from the stockroom to the sales floor. This role reports to the Store Manager and is responsible for delivering on all aspects of stockroom standard operating procedures (SOP/Retail Operations Manual) and achieving the brand standards for shipment processing, replenishment, markdowns, merchandising, and cycle counts. The Stock Associate will assume the Sales Specialist responsibilities in their absence. Sales & Omni • Execute store operations with particular focus on product flow to/from the sales floor, • Deliver omni-channel requests in line with UA process and policy through digital experience Brand Image & Customer Experience • Model the UA service culture and customer expectations, • When assisting athletes communicate brand messages according to UA Service Model, • Support, understand, and adhere to Under Armour's visual standards to maximize merchandise presentations when flowing product from the stockroom to the sales floor Retail Operations • Consistently achieve brand productivity standards for shipment processing, replenishment, markdowns, merchandising, and cycle counts through utilizing the company tools and resources, • Maintain stockroom standard operating procedures (SOP/Retail Operations Manual) to support efficient and effective handling and placement of merchandise, visual props, marketing, and fixtures in order to maximize sales and productivity, • Execute efficient and effective shipment processing by following processing and placement guidelines; track and communicate units per hour productivity to store leadership, • Engage in, maintain, and support safety standards on sales floor and in the stockroom; communicate safety concerns to store leadership, • Aware of and follows Loss Prevention policies; advise management of any unusual internal or external activity Team Collaboration/Self Growth • Collaborate with teammates to achieve store goals, • Accountable for self-development, while seizing growth opportunities to increase performance, • Basic numeracy, literacy, listening, and communication skills, • Fluency in local language, • Proficient in use of computers and other technology, • Demonstrated collaborative skills and ability to work well within a team, • Demonstrated ability to work in a fast-paced and deadline-oriented environment, • 0-3 months working in a sports/apparel & footwear retail environment, • Ability to work a flexible schedule to meet the needs of the business, including holidays, nights, and weekends, • Ability to handle or relocate products up to 25 lbs/12kgs, • Able to move about for extended periods of time with short breaks to handle products, • Ability to freely access all areas of the store; including the selling floor, stock, and register area, • Reasonable accommodations may be made to assist in performing the essential responsibilities At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status, and any other characteristic protected by applicable law. Under Armour seeks to recruit, develop, and retain the most talented people representing a wide variety of backgrounds and perspectives. Reasonable accommodations are available for applicants with disabilities upon request.

Santa Clara, California, United States Or refer someone Dear Future Perfect Smile Doctor, I want to take a moment to personally connect with you. Im Dr. Annie Pham, and over 20 years ago, I founded Perfect Smile Dental Care with a simple yet powerful mission: to provide exceptional dental care while making a meaningful impact on the lives of both our patients and our team. For me, dentistry is more than a professionits a gift from God that allows us to heal, serve, and uplift others. Every day, Im grateful for the opportunity to make a difference, and its this sense of purpose that makes our work truly special. If youre at a point in your career where you're searching for more than just another jobwhere youre seeking growth, service, and genuine connectionI invite you to explore what weve built. At Perfect Smile, were creating a space where dentists can rediscover their passion, feel supported, and become the best version of themselves, both professionally and personally. Below, you'll find more about who we are and the opportunity available. If any part of this resonates with you, wed love to schedule a conversation and learn more about your story and your goals. Warmly, Dr. Annie Pham Founder | Perfect Smile Dental Care About Perfect Smile Dental Care We are a thriving, doctor-led private practice with two locationsone in North San Jose near the 49ers stadium, and our newly built flagship office in Santa Clara, just steps from Santa Clara University. Our Santa Clara location is a brand-new, state-of-the-art 4,200 sq ft facility with 12 fully equipped operatories and the latest dental technology. We serve a high volume of over 90 new PPO patients each month, giving you the opportunity to stay productive and grow a strong patient base quickly. We're looking for a dentist who's ready for something more, and you might be exactly who we've been waiting for. If you've been practicing in corporate dentistry or an associate role in a solo office, chances are you've experienced some of the following struggles: • Pressure to hit production numbers without support, • Lack of mentorship or professional growth, • A disconnected or constantly changing team, • Feeling like a cog in the machine or isolated altogether We've been there too, and we've created a practice that's intentionally different. At Perfect Smile, you'll find: • Full clinical autonomy, • A team of 7 doctors who have grown together for over 10 years, • Key admin and clinical leaders with 7+ years of tenure, • A culture where you're seen, valued, and supported We're passionate about helping you reignite your purpose, focus on the clinical care you love, and thrive in a place that feels like home. What You'll Experience at Perfect Smile Clinical Excellence & Autonomy • Practice with true independence, supported by seasoned colleagues, • Enjoy a balanced schedule and a team thats got your back Mentorship & Career Growth • One-on-one mentorship from Dr. Pham and senior doctors, • Paid CE courses and leadership coaching, • Real paths to clinical mastery and professional advancement Collaborative, Long-Term Team • 7 general dentists with over a decade of teamwork, • Loyal hygienists, assistants, and coordinators who make your day smoother, • Strong systems and admin support = less stress, more dentistry Exceptional Compensation & Benefits • Unlimited earning potential with a unique compensation model, • Monthly performance bonuses, • Deferred compensation plan to help build real wealth, • Paid malpractice, medical insurance, and CE New, High-Tech Environment • 4,200 sq ft, 12-op Santa Clara office, just opened, • Latest technology to support efficiency and quality, • 90+ new PPO patients a month per location ensures a full, fulfilling schedule Whole-Person Support • We value your mental, emotional, and spiritual well-being, • Access to dedicated mental health care partners, • Team bonding events, including karaoke nights, shared meals, and more, • Ongoing personal development to help you grow inside and out Ready for a Career That Feels Aligned? If you're a passionate general dentist who's ready to join a team that's committed to growth, connection, and purpose, we'd love to meet you. Apply now or email us at tim@perfectsmiledentalcare.com Santa Clara, CA | Doctor-Led | Mission-Driven | Growth-Focused Or refer someone

Description Prime Video is looking for a Research Engineer to support scientific research efforts in our Content Reasoning, Enrichment and Localization team. We build and deploy Generative AI models across Prime Video Lines of Business, including Derivative Content, Trust & Safety, and Metadata Localization. A Research Engineer supports Applied Scientists on the team by building experiment frameworks, infrastructure and deployment packages. A Research Engineer may be called to directly facilitate science benchmarking, model training, model deployment, and deep dive on any deep learning related technical problem. This person may be called to lead or facilitate a joint project between science and engineering team. This role would be responsible for end-to-end ownership of model training and deployment, from managing our GPU cluster, to monitoring job queues, and containerizing trained for deploying models into production. This role will support several research teams with remits across lines of business and machine learning methodologies. Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You'll get to work on projects that are fast-paced, challenging, and varied. You'll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We'll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! Key job responsibilities Cluster Management Architect and operate SLURM cluster infrastructure for distributed training and evaluation workloads Maintain healthy job status and manage queues from different users and teams Monitor feedback regarding cluster features and functions Identify and drive infrastructure optimization opportunities Develop self-service tooling, automation, and APIs Model Deployment Gather requirements from collaborators on research teams Containerize Machine Learning Models Shepherd models through deployment into beta environments, including debugging builds Develop data collection, aggregation and monitoring pipelines Build observability and monitoring systems or dashboards for ML infrastructure About the team This team's mission is to deeply understand all content and empower customers with relevant language options, innovative accessibility assists, and rich title-information across all their content experiences on Prime Video. We delight our customers by pushing the boundaries of content understanding and enrichment. Through inclusion and innovation, we do the most fulfilling work of our career. Basic Qualifications - Experience in automating, deploying, and supporting large-scale infrastructure - Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust - Experience with Linux/Unix - Bachelor's degree, or 2+ years of working with Advanced Compute technologies including, but not limited to: Accelerated Compute, High Performance Compute, Visual/Spatial Compute, and/or IoT. experience - 3+ years of cloud computing technologies experience - Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems Preferred Qualifications - Experience with distributed systems at scale - Master's degree - Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability - Publications or contributions to open-source HPC projects Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 129,200.00 - 174,800.00 USD annually

Description Come join the AWS AI science team in building the next generation models for intelligent automation. AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops. We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making. Key job responsibilities Design and implement scalable, production-grade neuro-symbolic systems that integrate formal reasoning with GenAI to deliver reliable, verifiable outcomes for AWS customers. Collaborate cross-functionally with product, engineering, and science teams as well as external customers to deeply understand pain points, gather requirements, and translate them into neuro-symbolic features that solve real-world problems. Enhance and extend the capabilities of formal reasoning systems to meet the demands of GenAI and agentic applications - including areas such as hallucination detection, policy verification, and automated guardrails. Proactively identify and pursue new opportunities to apply formal reasoning solutions across AWS services and customer domains, driving adoption and expanding the impact of neuro-symbolic approaches. Own the end-to-end science lifecycle - from research and experimentation through production deployment - defining metrics to measure system performance and the real-world impact of neuro-symbolic solutions. Mentor junior scientists and engineers, providing technical guidance, fostering a culture of scientific rigor, and raising the bar across the team. * Advance the state of the art through publications at top-tier venues, patents, or open-source contributions, strengthening Amazon's position as a leader in automated reasoning and neuro-symbolic AI. A day in the life Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you. About the team You will be working with a team of formal methods and machine learning specialists spanning recently hired PhDs to industry veterans. You will work collaboratively to deliver results in the form of new features for Automated Reasoning checks that delight our customers. Why AWS? AWS is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - PhD, or Master's degree and 5+ years of applied research experience - Experience programming in Java, C++, Python or related language Preferred Qualifications - Experience in formal verification, program analysis, constraint-solving, symbolic execution, model checking, SAT/SMT solver implementation and applications, mechanical theorem and/or code-reasoning languages such as Lean Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Santa Clara - 192,200.00 - 260,000.00 USD annually

Description Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. We are looking for a self-motivated, passionate and resourceful Senior Software Development Engineer to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will be a technical leader helping to design and build the ML infrastructure that power our vision. You will tackle complex and ambiguous problems, designing and delivering scalable and resilient ML platform solutions from the ground up. You will not only write high-quality, maintainable code, but also mentor other engineers, influence our technical strategy, and drive engineering best practices across the team. Your work will directly contribute to making Prime Video's operations more efficient and will set the technical foundation for years to come. Key job responsibilities - Building ML platform services with Tier-1 availability and performance characteristics while enabling rapid model iteration and experimentation for scientists. - Evolving the model serving and feature delivery infrastructure to enable continuous experimentation and keep pace with innovations in state-of-the-art ML capabilities. - Designing and scaling training pipelines, real-time inference systems, and feature stores that support the constantly evolving landscape of Prime Video personalization across Movies, TV Shows, Live Sports, Linear TV, and beyond. - Leading and partnering on developing the strategic technical vision for the PV ML Platform, including model lifecycle management, online/offline evaluation, and serving optimization. - Partnering with Scientists, Product Managers, and Engineering stakeholders to translate research breakthroughs into production-grade platform capabilities. A day in the life As Sr. SDE, you will be technical lead of an engineering team building the ML platform that powers personalization solutions at incredible scale and speed. You will be operating with state of the art technologies in distributed systems and machine learning infrastructure. You will foster a culture of innovation and excellence, leading and growing talented junior engineers on your team and around PV. At the end of the day, you will have the reward of seeing your platform enable ML models that delight PV customers worldwide (including yourself!) About the team This team is at the heart of PV personalization, building the ML platform that enables scientists and engineers to rapidly develop, deploy, and iterate on models that understand customers' preferences based on their past engagement, current context, and other signals. We power the infrastructure behind video discovery experiences across PV, operating in a complex business/tech space that requires us to move at speed and support rapid prototyping and experimentation. Basic Qualifications - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques Preferred Qualifications - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Sunnyvale - 193,300.00 - 261,500.00 USD annually USA, NY, New York - 184,900.00 - 250,200.00 USD annually USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually