Senior device engineer jobs near me - 415 jobs

A leading software solutions firm is seeking experienced engineers to build high-performance authorization systems. You will work directly with enterprise customers to translate their compliance needs into product features, ensuring integration with the WorkOS platform. Ideal candidates should have 5+ years in software development and a strong problem-solving mindset. The position offers remote work flexibility and competitive pay, supporting both personal and familial well-being. #J-18808-Ljbffr

Join us in shaping the future of finance for technology companies We're a team of builders, operators, and problem-solvers reimagining how businesses manage and grow their capital. At Arc, we're developing intelligent cash management accounts, capital markets access, and CFO-grade AI features that help companies make faster, smarter financial decisions. Our customers are startups driving technology innovation across dozens of industry verticals. This inspires us to build financial products that enable our customers to scale faster, on their terms, and without restriction. We deeply embed ourselves in our customers' missions, which keeps us relentlessly focused on our own: helping startups grow. FEEDBACK IS THE ACCELERANT TO OUR GROWTH 360 degree feedback is core to our culture. Our Arc-itects practice radical candor and don't shy away from difficult conversations. We also focus equally on celebrating our wins and making sure we celebrate the unique strengths of our teammates. WE WORK HARD AND HAVE FUN TOO We host dozens of events each year - it's been part of our culture since day one. These gatherings include company-wide happy hours, new-hire onboarding meet-n-greets, offsite team-bonding activities, and annual company-wide retreats. At Arc, we work hard and have fun too. Ourvalues These values guide how we work together 1 OPERATE AS AN OWNER Bring an ownership mentality to everything you do. Always strive for excellence. Be an Arc-itect others can trust and count on. 2 WIN WITH OUR CUSTOMERS Become customer-obsessed. Go out of your way to help customers in any way you can. When our customers win, we win. 3 THINK BIG We're disrupting a multi-trillion dollar financial services industry. Find the fast moving waters and don't be afraid to change course. Thrive in ambiguity and seek disruption. Take big swings. Benefits of becoming an Arc-itect Perks and benefits to help you do your best work. MEANINGFUL IMPACT As an early employee, you'll influence key strategic decisions, shape the culture, and play a major role in our success. We are flat and lean, so you'll have the opportunity to contribute to every facet of the business. COVERAGE WHERE IT COUNTS You'll have access to best-in-class medical, dental, and vision coverage and a monthly health and wellness stipend from day one. Mental health resources, learning & development stipends, and more are coming soon. MAXIMIZE YOUR MONEY Arc takes pride in benchmarking comp. packages (salary & equity) to the highest-paid talent-pools in the U.S. REST AND RECHARGE We all perform our best when we feel our best, that's why all Arc-itects receive unlimited PTO, paid holidays, flexible remote work options, and paid parental leave. INCLUSIVITY AT OUR CORE We currently provide dedicated funding for our affinity-groups and their hosted-events, and we offer bi-weekly volunteering opportunities. We plan to partner with local organizations and build out our suite of employee perks and benefits as we develop and mature as an organization. COMMITMENT TO THE COMMUNITY We recently took the Conscious Culture Pledge. Being a conscious company means that we consciously take action to foster an inclusive and diverse workplace. It starts with our hiring practices, and continues throughout our evolving benefits package. OpenrolesDon't see the perfectrole? Reach out to us! We're always looking to bring aboard people who are curious, action-oriented and passionate about leveling the playing field for startups. #J-18808-Ljbffr

Company Qualcomm Technologies, Inc. Job Area Engineering Group, Engineering Group > Software Engineering As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next generation experiences and drives digital transformation to help create a smarter, connected future for all. As Lead Automotive SoC stability engineer, you will bring in a blend of advanced technical expertise in the Linux/QNX kernel and SoC architecture, combined with strong leadership and project management skills to oversee the stability, reliability, and performance of the Linux and QNX operating system software on Snapdragon automotive Chipsets. Key Responsibilities Ensure the stability and reliability of Snapdragon automotive platforms (IVI, ADAS) running Linux/QNX/Android Optimize the system for robustness by analyzing and tuning the kernel, drivers, middleware, and applications for specific use cases Act as the final point of escalation for stability issues identified during development, testing, and field deployment Utilize advanced debugging tools and methodologies to pinpoint the root cause of complex problems Work closely with cross-functional teams, including HW engineers, firmware developers, and application software teams, for fast incident response to critical issues Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Engineering or related work experience PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience 4+ years of work experience with programming languages such as C, C++, Java, Python, etc. Preferred Qualifications 10+ years of experience in embedded systems, automotive software, Linux/QNX/Android platform development A deep understanding of SoC architecture, including CPU cores, peripherals, trade-offs in performance vs low-power design In-depth knowledge of Linux kernel, device drivers, and advanced troubleshooting with hypervisors Strong understanding of embedded Linux build systems like Yocto Deep expertise in security features like verified boot and trusted execution environments Proven track record leading Linux/QNX product launches triaging critical system robustness issues under tight deadlines Deep understanding of Clocks, PLLs, GPIO, Interrupt Controllers (GIC), Peripherals (SPI/I2C/UART/CAN/Ethernet/Clock/etc) Excellent verbal and written communication skills to articulate complex technical issues and report on project status to both technical and executive stakeholders Ability to guide and mentor junior engineers, fostering a collaborative and high-performing team environment Equal Opportunity Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may email disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Pay range and Other Compensation & Benefits $192,600.00 - $289,000.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Salary is only one component of total compensation at Qualcomm. We offer a competitive annual discretionary bonus program and opportunity for annual RSU grants. Our benefits package is designed to support your success at work, at home, and at play. Your recruiter will discuss all that Qualcomm has to offer. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr

A leading insurance company in California seeks a Senior Staff Engineer to lead the technical roadmap for their document management platform. You will innovate and build systems that integrate with various business applications. Ideal applicants have extensive experience in large-scale distributed systems, fluency in modern programming languages, and a passion for mentoring teams. The position offers competitive salary and a supportive work culture. #J-18808-Ljbffr

A medical technology company in San Francisco is seeking a Machine Learning Engineer to leverage vast medical imaging data in training deep neural network models. You will work on enabling a surgical robot to understand anatomy, empowering doctors to perform safe procedures. The ideal candidate should have at least 2 years of experience in machine learning engineering, expertise in Python, and familiarity with image-based neural networks. Join us in revolutionizing access to life-saving interventions. #J-18808-Ljbffr

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR PROFILE * Intune Management knowledge * Experience with Intune administration and configuration * Mobile phone (iPhone) management * Excellent troubleshooting and problem-solving skills * English and German language is must have YOUR TASKS * Enterprise Mobility - iPhone device management * Configure, deploy, and maintain Microsoft Intune * Provide technical support and troubleshooting for mobile devices * Doing health checks for the systems * Align parameter changes * Standard run operation * Monitoring of mobile device infrastructure WHAT YOU'LL LOVE ABOUT WORKING HERE * Practical benefits: yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform. * Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. * Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies. * Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on YouTube. ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now!

Role Description As a Product Engineer at Dropbox, you will play a pivotal role in shaping the future of collaboration and file sharing. Your responsibilities will revolve around developing and enhancing our suite of Dropbox Products to deliver exceptional user experiences. You will work closely with cross-functional teams, turning innovative ideas into robust, scalable, and user-friendly features. This year, Dropbox is on a mission to expedite the creation and implementation of AI-enable products by providing a comprehensive AI technology stack that facilitates speedy prototyping and reliable deployment of AI-driven functionalities. Our Engineering Career Framework is viewable by anyone outside the company and describes what's expected for our engineers at each of our career levels. Check out our blog post on this topic and more here. Responsibilities Autonomously deliver ongoing business impact across a team, product capability, or technical system. Collaborate effectively with cross-functional teams, including product managers, designers, and other engineers. Excellent problem-solving skills and the ability to make effective tradeoffs between technical requirements and business goals. Mentor junior engineers and contributing to the overall growth and success of the engineering team. Adapt to a dynamic and fast-paced work environment, with a focus on continuous learning and professional development. Ensure continuous service operation by participating in the team's on-call rotation, including outside core collaboration hours on a periodic basis. Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying. Requirements 9+ years of experience building applications professionally. BS degree or higher in Computer Science or a related technical field. (e.g., physics or mathematics), or equivalent technical experience. Delivered tangible results, from conceptualization to implementation, while making significant contributions to the success of the project. Experience in developing web applications, demonstrating a deep understanding of the intricacies involved in building robust and scalable systems. Preferred Qualifications Contributions to open source projects or technical communities Technologies: JavaScript, HTML/CSS, React, Python, MySQL, Go, Java, Rust Total Rewards US Zone 1 This role is not available in Zone 1 US Zone 2$195,800-$265,000 USDUS Zone 3$174,100-$235,500 USD

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pivotal part of our innovative ML team. Our team is dedicated to Affirm's mission of revolutionizing financial services with transparency and inclusivity at its core. We are utilizing advanced machine learning techniques ensuring responsible and accessible financial products. In this role, you will help shape the future of machine learning at Affirm. You'll partner with ML Platform, engineering, product, and risk leaders to design, implement, and scale advanced modeling approaches that drive critical decisions across the company. You will elevate our modeling capabilities, influence architectural direction, and ensure our systems can support increasingly sophisticated workloads. You will mentor senior engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long-term ML strategy. If you are passionate about modern machine learning and excited to drive high-impact innovation across a growing organization, Affirm is the place for you. What you'll do You will define and drive multi-year, multi-team technical strategy for machine learning across Affirm, ensuring alignment with company-wide priorities and influencing the roadmaps of partner teams and platforms. You will lead the design, implementation, and scaling of advanced ML systems, setting the architectural direction for complex, cross-functional initiatives and ensuring systems remain reliable, extensible, and prepared for increasingly sophisticated modeling workloads. You will partner deeply with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities, define new opportunities for ML impact, and guide infrastructure evolution required for next-generation ML methods. You will provide broad technical leadership across the ML organization, mentoring senior engineers, elevating design and code quality, and spreading ML expertise through documentation, talks, and cross-org guidance. You will drive clarity and alignment on ambiguous, high-stakes technical decisions, resolving cross-team tensions, balancing competing priorities, and exercising judgment optimized for the broader engineering organization. You will champion operational and system excellence at the area level, owning the long-term health, availability, and evolution of critical ML systems, and ensuring robust testing, monitoring, and reliability practices across teams. What we look for You have 10+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems, with a proven record of driving technical innovation and delivering measurable business impact. Relevant PhD can count for up to 2 YOE. You have experience leading end-to-end ML system design, from data architecture and feature pipelines to model training, evaluation, and production deployment. You use distributed frameworks such as Spark, Ray, or similar large-scale data processing systems. You are proficient in Python and ML frameworks, including PyTorch and XGBoost. You are experienced with ML tooling for training orchestration, experimentation, and model monitoring, such as Kubeflow, MLflow, or equivalent internal platforms. You have a strong understanding of representation learning and embedding-based modeling. You possess deep expertise in neural network-based sequence modeling, including architectures such as Transformers, recurrent, or attention-based models, and multi-task learning systems. You are comfortable designing and optimizing models that learn from sequential or temporal event data at scale. You have deep hands-on experience with large-scale distributed ML infrastructure, including streaming or batch data ingestion, feature stores, feature engineering, training pipelines, model serving and inference infrastructure, monitoring, and automated retraining. You provide strong technical leadership: defining long-term strategy, guiding research direction, and aligning work across teams. You are recognized as a trusted expert who can drive clarity and execution even in ambiguous problem spaces. You demonstrate exceptional judgment, collaboration, and communication skills, enabling effective technical discussions with engineers, researchers, and executives. You mentor senior engineers, foster technical excellence, and contribute to a culture of continuous learning. You have strong verbal and written communication skills that support effective collaboration across our global engineering organization. This position requires equivalent practical experience or a Bachelor's degree in a related field. Pay Grade - R Equity Grade - 15 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $260,000 - $310,000 USA base pay range (all other U.S. states) per year: $232,000 - $282,000 #LI Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We're extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It's On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: At Airbnb, our mission is to create a world where anyone can belong anywhere. The Cloud Infrastructure team is responsible for delivering and operating the foundational platforms and cloud environment that power Airbnb. Airbnb is a member of the Cloud Native Compute Foundation's end user community and regularly meets with peer companies to discuss cloud native engineering challenges at scale. The Difference You Will Make: As a Senior Staff Engineer on the Cloud Infrastructure Compute team, you'll be the technical leader for the lifecycle management of our Airbnb Kubernetes compute platform. You will enable the Cloud Infrastructure organization to work efficiently and effectively by enhancing all aspects of the engineering experience. This compute platform is the foundation for all of the features that Cloud Infrastructure delivers in security, networking, developer experience, and efficiency. This compute platform ensures the consistency required to enable delivery across multiple cloud vendors. Your peers will rely on you to provide a quality platform that makes it easy to deliver quality features to our product teams across Airbnb. Your team will provide the reliability, scalability, security, and developer experience necessary for infrastructure teams to deliver enhancements to the platform and product teams to deliver first class experiences to Airbnb Guests and Hosts around the world. A Typical Day: Provide technical leadership on high-impact projects. Influence and coach a distributed team of engineers. Deliver enhancements that drive the cost efficiency of our cloud platform. Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Manage project priorities, deadlines, and deliverables. Contribute to the multi-year strategy to evolve Airbnb's Cloud Platform Design, develop, test, deploy, maintain, and enhance the Airbnb compute platform. Your Expertise: BS, MS or Ph.D. in computer science or related field, or equivalent work experience 12+ years of relevant work experience in infrastructure 4+ years of expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2). Experience setting technical direction, planning, and successfully executing on large projects spanning multiple teams Kubernetes Experience is required. Istio/Envoy Experience is preferred. Passionate about efficiency, availability, quality and developer experience. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range$244,000-$305,000 USD

At Webflow, we're building the world's leading AI-native Digital Experience Platform, and we're doing it as a remote-first company built on trust, transparency, and a whole lot of creativity. This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. From entrepreneurs launching their first idea to global enterprises scaling their digital presence, we empower teams to design, launch, and optimize for the web without barriers. We believe the future of the web, and work, is more open, more creative, and more equitable. And we're here to build it together. We're looking for a Senior Staff Engineer, Online Datastores to help us build and operate the next generation of reliable, high-performance datastores at Webflow - starting with Apache Druid and expanding to systems like MongoDB and Postgres - by setting standards for availability, scalability, and real-time analytics at global scale. About the role: Location: Remote-first (United States; BC & ON, Canada) Full-time Permanent Exempt The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate's geographic location, job-related experience, knowledge, qualifications, and skills. United States (all figures cited below are in USD and pertain to workers in the United States) Zone A: $200,200 - $288,500 Zone B: $188,400 - $271,600 Zone C: $176,500 - $254,300 Canada (All figures cited below in CAD and pertain to workers in ON & BC, Canada) CAD 199,300 - CAD 281,100 This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals. Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Application Information: Application deadline: applications accepted on an ongoing basis until position is closed and filled This posting is for a new position Reporting to the Senior Director, Engineering, As a Senior Staff Engineer, Online Datastores, you'll … Ensure high reliability, uptime, and query performance for Apache Druid clusters on EC2. Lead monitoring, alerting, troubleshooting, and incident response using observability tools such as DataDog and CloudWatch. Manage data lifecycle: tiering strategies (hot, warm, default), retention policies, deep storage (S3), local SSD caches, and Aurora MySQL metadata store. Operate and tune Zookeeper clusters while ensuring overall cluster stability, coordination, and service discovery. Optimize performance and cost efficiency by right-sizing clusters, scaling instances, and balancing ingestion throughput with query workloads. Define and drive standards for online datastore operations, including multi-region deployments, failover strategies, SLA/SLOs, and best practices for real-time analytics workloads. Provide technical leadership and mentorship, collaborating with data and product teams to define governance, reliability practices, and long-term strategy across datastores (starting with Druid, and over time MongoDB and Postgres). About you: Requirements: Hands-on experience setting up and managing Apache Druid clusters (Broker, Router, Coordinator/Overlord, Historical, Middle Manager) including upgrades, troubleshooting and tuning. Deep knowledge of Druid operations: indexing, segment management, data partitioning, tiered storage, and query optimization and cluster right-sizing for performance/cost tradeoffs. Proficiency in Java (JDK 8+) and Linux/Unix systems, and scripting/automation (Bash, Python) for deployments, maintenance and performance tuning. Solid understanding of distributed systems concepts such as replication, failover, consensus protocols (Zookeeper), and multi-region deployment strategies. Familiarity with the broader data ecosystem: streaming ingestion (Kafka/MSK, Flink CDC), cloud storage (S3) and related data infrastructure. Experience establishing and operating to SLAs/SLOs, and defining standards and best practices for real-time analytics workloads. Experience with observability and incident management: metrics collection, dashboards, and alerting (Datadog, Prometheus, Grafana, Cloudwatch or equivalent). Knowledge of security and governance practices including authentication, role-based access, encryption, and audit logging. Demonstrated technical leadership: mentoring engineers, driving architecture discussions, and collaborating with data, infra, and product teams. Business-level fluency to read, write and speak in English Our Core Behaviors: Build lasting customer trust. We build trust by taking action that puts customer trust first. Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. Reinvent ourselves. We don't just improve what exists, we imagine what's possible. Deliver with speed, quality, and craft. We move fast because the moment demands it, and we do so without lowering the bar. Benefits Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. Time off that's actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. Wellness for the whole you. Access to mental health resources, therapy and coaching. Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. Monthly stipends that flex with your life. Localized support for work and wellness expenses - from Wi-Fi to workouts. Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program. Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment. Be you, with us At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records. Stay connected Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor. Please note: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. For information about how Webflow processes your personal information, please review Webflow's Applicant Privacy Notice .

About Us At SentinelOne, we're redefining cybersecurity by pushing the limits of what's possible-leveraging AI-powered, data-driven innovation to stay ahead of tomorrow's threats. From building industry-leading products to cultivating an exceptional company culture, our core values guide everything we do. We're looking for passionate individuals who thrive in collaborative environments and are eager to drive impact. If you're excited about solving complex challenges in bold, innovative ways, we'd love to connect with you. Due to Federal Government contract requirement, U.S. Citizenship is required for this position. FedRamp Staff may be subject to customer or third party background checks up to and including Secret Clearance if required by their role at SentinelOne. What are we looking for? At SentinelOne, we're transforming the developer platform to offer a unified developer experience. To help us achieve that, we're seeking a Senior Staff Software Engineer for a new key role that will drive this transformation and define the next generation of our platform. This is a high-impact role, where you'll undertake an ambitious initiative to design and implement secure, scalable, reliable Developer Platform APIs built using modern technologies and approaches. This Developer Platform sits on top of our Infrastructure Platform, and its APIs must provide both a unified, customer-friendly developer experience and internal infrastructure service protection. You'll need strong experience with Developer Platform fundamentals, including designing and developing infrastructure platform services that enable scalability, efficiency, and ease of use for internal developers. You should also bring deep proficiency with CI/CD pipelines and tools at a large scale, as this role will shape how services are built, deployed, and managed across SentinelOne. Strong ownership - In this role, you will work with multiple engineering and PM leaders and teams across the SentinelOne engineering organization on this re-architecture. We value collaboration, innovation, creativity, and technical excellence in our area. You'll deal with the scale of globally deployed platform services across 6 AWS/GCP regions that altogether process petabytes of data daily and hundreds of billions of events from tens of millions of endpoints we protect at our enterprise & public sector clients across the globe, including 4 of the Fortune 10 and hundreds of Global 2000 companies. If you are passionate about impactful, high-stakes projects, this is your opportunity to shine! What will you do? Architect the Future: Dive deep into our current developer platform, identify pain points, and design innovative solutions to address them in an iterative way toward a shared vision. Lead the design and development of a new architecture that supports scalability, maintainability, and operational excellence. Modernize the Stack: Collaborate with teams to evaluate and implement the right tools, frameworks, and methodologies for building a robust, user-centric developer platform. Hands-on Development: Write high-quality, production-ready code. Mentor and Lead: Guide and mentor other engineers, contribute to their professional growth, share best practices and architectural insights, and foster a culture of engineering excellence. Your involvement enhances the overall quality, whether you wrote it directly, reviewed it, or contributed to its design. Collaborate Across Teams and Orgs: Partner with engineering, product, design, quality, DevOps/Infra teams, and leadership to align on objectives, design, timelines, and execution strategies. Our stack: Java, Go; Kubernetes, Docker, AWS, GCP, FedRAMP; GitHub Actions, ArgoCD; GitHub Enterprise; depending on the requirements of the service for communication, we use Kafka, REST API, GraphQL, gRPC, etc.; Postgres, MongoDB, Redis, ClickHouse; Prometheus/Thanos, Grafana What experience or knowledge should you bring? Extensive software engineering experience, including proven expertise in architecting large-scale distributed systems and microservices architectures, with a focus on performance, scalability, and reliability. Expertise in Developer Platform fundamentals and infrastructure platform services design. Deep proficiency in CI/CD pipelines and tooling (e.g., GitHub Actions, ArgoCD, Jenkins) in large-scale environments. Proficiency in Java and/or Go; experience with Python is a plus. Extensive experience with cloud platforms (AWS and/or GCP) and Kubernetes (K8s). Excellent problem-solving skills. Strong ownership and accountability, with proven experience driving large, impactful projects. Strong communication skills and ability to articulate technical concepts and influence engineering direction across teams, departments, and stakeholders in multiple time zones. Why us? You will be joining a cutting-edge company where you will tackle extraordinary challenges and work with the very best in the industry. Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA Unlimited PTO Industry-leading gender-neutral parental leave Paid Company Holidays Paid Sick Time Employee stock purchase program Disability and life insurance Employee assistance program Gym membership reimbursement Cell phone reimbursement Numerous company-sponsored events, including regular happy hours and team-building events This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions. Base Salary Range$207,000-$253,000 USD SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. SentinelOne participates in the E-Verify Program for all U.S. based roles.

We are seeking an experienced Bioinformatics Software Engineer specializing in C++ to join our Instrument Analysis team at PacBio (NASDAQ: PACB). In this role, you will develop high-performance on-instrument software tools and algorithms that further our mission to advance scientific understanding through cutting-edge technologies. This position demands deep technical expertise in modern C++ development, along with specialized knowledge of bioinformatics algorithms and statistical modeling. Responsibilities: Design and implement efficient bioinformatics algorithms for sequence analysis in modern C++, meeting performance-critical requirements. Profile and optimize code to enhance memory efficiency and computational speed. Develop clean, well-documented APIs and libraries suitable for integration into broader software ecosystems. Collaborate with team members, sharing insights and best practices, and fostering a culture of continuous improvement. Maintain comprehensive and clear documentation covering software design, implementation, and optimization strategies. Required Qualifications: Master's or Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field. 5+ years of professional C++ development experience using modern standards. Expert-level understanding of core bioinformatics concepts, particularly in sequence analysis. Proven experience developing complex algorithms with careful consideration of time and space complexity. Proficiency with version control (Git), automated testing, continuous integration, and code review processes. Experience with memory management, multi-threading, and system-level optimization. Familiarity with common bioinformatics file formats (FASTA, FASTQ, SAM/BAM/CRAM, VCF). Demonstrated ability to debug complex software systems and identify performance bottlenecks. Excellent interpersonal, written, and verbal communication skills. Preferred Experience: Knowledge of statistical methods and machine learning techniques in bioinformatics. Familiarity with scientific visualization libraries and tools. Contributions to open-source bioinformatics projects or tools. This role is not eligible for visa sponsorship. Non-Field Based Employees are required to be onsite Monday-Thursday (Friday work from home). Depending on the role, some employees may be required to be 100% onsite. You may be required from time to time to visit and work at PacBio locations and for such times as the Company considers necessary for the proper performance of your duties. All listed tasks and responsibilities are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional tasks and responsibilities. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or on the basis of disability, gender identity, and sexual orientation. #LI-Onsite Salary Range: $170,400.00 - $293,900.00 To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at PacBio. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. PacBio does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, PacBio employees or any other company location. PacBio is not responsible for any fees related to unsolicited resumes/applications. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or on the basis of disability, gender identity, and sexual orientation. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at ************, or ****************************** for assistance. Visit our following pages for more information on: FAQs Benefits Culture Equal Opportunity Employment

SummaryGE HealthCare is accelerating its transformation through a series of strategic “AI Big Bets” in Commercial excellence, Logistics optimization, Inventory management, and Manufacturing innovation. The Enterprise AI team, part of the Chief Data and Analytics Office, is at the forefront of delivering robust, enterprise-grade AI and ML solutions that drive measurable business impact at scale. You will be at the forefront of developing and delivering innovative GenAI and Agentic AI solutions that generate actionable business insights and transform key areas within GE HealthCare, including Finance, Commercial, Supply Chain, Quality, Operational Excellence and Lean, and Manufacturing. GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.Job Description We are seeking a highly skilled and motivated AI Engineer to join our dynamic team. You will play a pivotal role in shaping and executing our AI strategy. You'll collaborate across a unified, cross-functional delivery organization-partnering with experts in data engineering, ML engineering, analytics, and GenAI development-to solve complex business challenges and deliver scalable solutions. Responsibilities Lead development of AI-driven solutions including but not limited to: Designing RAG models, agent workflows, and multi-step reasoning models. Unstructured data analysis. Integrating ML/GenAI models and LLM orchestration into end-user AI applications. Conduct research and stay updated with the latest advancements in AI technologies. Translate AI research into business solutions. Collaborate with cross-functional teams to integrate AI solutions into various applications and products. Analyze large datasets to extract meaningful insights and improve AI model performance. Design and conduct experiments to validate and optimize AI models. Present findings and recommendations to stakeholders in a clear and concise manner. Collaborate with the MLOps & AIOps teams to establish standards for AI model development, deployment and monitoring. Proactively measure and communicate value generation from developed AI solutions to business and IT leaders across GE HealthCare. Proactively identify new opportunities to further leverage AI solutions - prioritizing opportunities with the biggest potential benefit to the business. Ensure best practice adoption within the Enterprise AI team, applying appropriate levels of technical capability, standardization, and subject matter expertise. Drive a culture of analytics and fact-based decision making through the utilization of standard methodologies and approaches. Operating as a thought leader and visionary, with the ability to influence executive leaders in the strategic use of ML, AI, GenAI, and advanced analytics in decision-making and value creation. Requirements Bachelors degree in Computer Science, Data Science, Engineering or a STEM related field with a focus on neural networks and computer vision. or related with 5+ years of hands-on experience in developing and deploying AI models and applications. Deep expertise in the latest AI tools and platforms such as MCP, A2A, AWS Bedrock, Azure AI Foundry, LLM foundational models, and agentic orchestration & monitoring platforms such as LangGraph/LangSmith. Deep expertise in GenAI model development, AI Agent design and orchestration, Computer Vision, Deep Learning, Transformers, Self-Supervised Learning, and LLM fine tuning. Experience implementing transformers, self-supervised learning, and generative AI models in reliable, maintainable APIs or microservices. Ability to work with large-scale datasets and perform efficient data analysis. Expertise in transformers, self-supervised learning, and generative AI models. Ability to continuously track, evaluate, adapt the latest advancements in AI technology to business use cases across GE HealthCare. Strong problem-solving skills and the ability to think critically and creatively. Excellent communication skills and the ability to work collaboratively in a team environment. PhD preferred. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership -always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you'd expect from an organization with global strength and scale, and you'll be surrounded by career opportunities in a culture that fosters care, collaboration, and support. #LI-BR3 #LI-Remote We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $136,000.00-$204,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement. GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: Yes Application Deadline: January 31, 2026

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta. About the role: At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable. This role will involve hands-on work on cutting-edge projects, requiring innovative and passionate machine learning engineers who can bring research into practical, scalable applications. As a Staff Machine Learning Engineer, your goal will be to take AI Agents from the realm of research and bring them into practical, real-world use cases. This includes developing and deploying proprietary LLMs, scaling AI solutions, and addressing key challenges such as evaluation and reliability. While we're focused on real-world application rather than pure research, you'll be working with some of the most advanced technologies in the GenAI space. This is a unique opportunity to shape the future of AI at Cresta by solving complex problems and bringing breakthrough AI advancements into production environments. Responsibilities: Design, develop, and deploy Cresta's AI Agent solutions and proprietary models. Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios. Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Cresta's customer solutions. Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases. Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta's AI Agents. Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems. Qualifications We Value: Bachelor's Degree in Computer Science, Mathematics, or a related field; Master's or Ph.D. preferred, or equivalent professional experience 7+ years of hands-on industry experience with AI and machine learning, preferably with 3+ years of experience working with LLMs in large-scale production environments Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs Proven leadership in designing and deploying AI solutions at scale, with a deep understanding of model optimization and real-time AI applications Extensive practical knowledge of modern machine learning frameworks and technologies (e.g., PyTorch, Tensorflow, Hugging Face, NumPy), as well as experience with distributed systems and cloud-based AI infrastructure Strong problem-solving and strategic thinking abilities, with a proven ability to lead cross-functional teams and work collaboratively to deliver innovative AI solutions in production A passion for driving AI adoption and pushing the boundaries of AI technology into real-world applications, with an ability to mentor junior engineers and influence strategic decisions across the organization Perks & Benefits: We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family's needs Paid parental leave to support you and your family Monthly Health & Wellness allowance Work from home office stipend to help you succeed in a remote environment Lunch reimbursement for in-office employees PTO: 3 weeks in Canada Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details. This posting will be used to fill a newly-created role. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from ************** domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to ********************

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We're a technology company that leads with our humanity-driving our business priorities alongside meaningful social, community, and societal impact. How You Will Contribute: Lead the analysis of complex customer networks to identify solutions and design integration/conversion plans that meet customer requirements and business objectives. Architect and execute upgrades to customer in-service networks with zero service disruption, including channel additions, node insertions, traffic migrations, and hardware/software upgrades. Develop and own Engineering Method of Procedures (EMOP) documentation, ensuring precision and reliability during field execution for modernization projects. Strategize, plan, and oversee customer network modernization initiatives, ensuring seamless execution through the EMOP process. Provide expert-level technical solutions that align with customer needs, delivering maximum value while adhering to Ciena's standards. Manage and deliver comprehensive network engineering documentation for customers through the Detailed Network Design service offering. Act as a trusted advisor to customers, leveraging deep technical expertise to guide decisions and ensure optimal network performance. The Must Haves: 10+ years of experience in network engineering, with a strong focus on optical networking and telecom environments. Bachelor's or Master's degree in Engineering, Computer Science, or equivalent experience. In-depth expertise with Ciena products such as 6500, RLS, and Waveserver, as well as hands-on experience in optical networking technologies. Proven track record of working in the telecom industry, with a deep understanding of carrier-grade networks and their operational challenges. Exceptional verbal and written communication skills, with the ability to present complex technical concepts to customers and stakeholders effectively. Advanced systems-level understanding, with the ability to quickly learn and apply new concepts and technologies. Demonstrated ability to lead and collaborate within high-performance teams, driving results in dynamic environments. Expert problem-solving skills, capable of diagnosing issues at the design level and translating solutions into actionable engineering deliverables. Nice to Haves: A results-driven mindset with a strong sense of accountability and ownership. Self-motivated and customer-focused, with a passion for delivering world-class solutions. Broad knowledge of emerging technologies, services, and business trends within the telecom and optical networking space. Strong planning, organizational, and documentation skills, ensuring meticulous attention to detail. Resilience under pressure, with the ability to navigate high-stress situations involving live customer traffic, maintenance windows, and tight deadlines. Experience mentoring junior engineers and contributing to knowledge-sharing within the organization. #LI-BS1 Pay Range: The annual pay range for this position is $96,900 - $154,700. Pay ranges at Ciena are designed to accommodate variations in knowledge, skills, experience, market conditions, and locations, reflecting our diverse products, industries, and lines of business. Please note that the pay range information provided in this posting pertains specifically to the primary location, which is the top location listed in case multiple locations are available. Non-Sales employees may be eligible for a discretionary incentive bonus, while Sales employees may be eligible for a sales commission. In addition to competitive compensation, Ciena offers a comprehensive benefits package, including medical, dental, and vision plans, participation in 401(K) (USA) & DCPP (Canada) with company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company-paid holidays, paid sick leave, and vacation time. We also comply with all applicable laws regarding Paid Family Leave and other leaves of absence. Not ready to apply? Join our Talent Community to get relevant job alerts straight to your inbox. At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination. Ciena is an Equal Opportunity Employer, including disability and protected veteran status. If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.

The Sr. Staff Engineer, AI will lead the architecture, delivery, and continuous improvement of agentic AI systems across multiple healthcare domains. This role will own complex initiatives end-to-end-setting technical direction, establishing quality and safety bars, and mentoring engineers-while ensuring solutions are compliant, reliable, and cost-efficient at scale. The Engineer will collaborate with cross-functional teams-including product managers, data engineers, and clinical experts-to develop solutions that are HIPAA/HITECH compliant, clinically relevant, and technically robust. Architect, engineer, and deploy multi-agent ecosystems (MCP/A2A/ACP) with clear boundaries, contracts, and observability-covering planning, tool-use, retrieval, and safety rails. Drive model selection, fine-tuning, evaluation design, red-teaming, and continuous feedback loops; codify standards for RAG, prompt governance, and context management. Use agentic frameworks (e.g., LangChain/LangGraph) to design modular, scalable agent architectures. Scale and harden production deployments with monitoring, drift detection, prompt/version control, A/B/ABn frameworks, cost/perf segmentation, and rollback playbooks. Partner with product/clinical leaders to define multi-quarter roadmaps and success metrics; translate clinical workflows into agent capabilities. Mentor & elevate the team: code reviews, design docs, internal talks, and guiding other engineers. Perform other duties that support the overall objective of the position. Education Required: Bachelor's degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or a related field. Or, any combination of education and experience which would provide the required qualifications for the position. Experience Required: 8-12 years as a Data Scientist/AI Engineer with experience leading complex, cross-team projects to production. Deep expertise with Python and ML frameworks (PyTorch/TensorFlow) and agentic stacks (LangChain/LangGraph) with proven experience implementing RAG at scale and fine-tuning models. Demonstrated experience in safety, reliability, and cost governance for GenAI systems. Knowledge, Skills & Abilities: Knowledge of: Generative AI frameworks and architectures (Transformers, LLMs, diffusion models). Machine learning frameworks (PyTorch, TensorFlow, Scikit-learn). Healthcare data formats, privacy requirements (HIPAA), and integration challenges. Voice recognition and transcription technologies (preferred). Skill in: Programming in Python (preferred) or similar languages. Designing modular, scalable AI agent architectures. Prompt engineering, retrieval-augmented generation (RAG), and model context optimization. Problem-solving and analytical thinking. Ability to: Rapidly prototype and iterate on AI agent designs. Collaborate effectively across technical and clinical teams. Adapt in a fast-paced, mission-driven environment. Communicate technical concepts to non-technical stakeholders. The company has reviewed this to ensure that essential functions and basic duties have been included. It is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This document does not represent a contract of employment, and the company reserves the right to change this job description and/or assign tasks for the employee to perform, as the company may deem appropriate. NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

As a Senior Staff Engineer specializing in equipment for oral solid formulations, you will collaborate with and assist 6 facilities dedicated to solid oral dosages. We are seeking a professional with in-depth knowledge of Solid oral Dose manufacturing equipment. In this role you will provide recommendations on equipment requirements, engage on trouble shoot equipment, assess asset life cycle and support new equipment start ups. This role supports the commercial operations including root cause analysis and problem solving on machine issues on the sites. You will remove roadblocks and drive intensity to the operations, maintenance activities, and capital projects. You will work alongside the sites to guarantee capital project execution, establishment and oversight for all major investments to align with the business plans. This role will be a key partner and collaborator growing consistency in the OSD network. The position involves working closely with Quality, IT, Supply Chain, and Sustainability teams to guarantee that the Capital, Engineering, and Maintenance teams follow policies, master planning, shutdown planning, and fulfill company commitments. This is an outstanding opportunity to create an impact with Thermo Fisher Scientific. KEY RESPONSIBILITIES Technical domain authority on Oral Solid Dose Equipment Equipment Lifecycle Planning Maintenance Excellence Program Data and information exchange Capital project governance New Asset Start up and Readiness QUALIFICATIONS AND REQUIREMENTS Education Bachelors degree in Engineering or related field Masters Degree is desirable Experience: 10+ years experience in Engineering with a consistent track record Specific knowledge and experience with Oral Solid Dose Pharmaceutical manufacturing equipment Knowledge, Skills, Abilities: Knowledge of granulation, Compaction, Encapsulation, Coating equipment and Processes. Knowledge of Pharmacuetial regulatory requirements Outstanding leadership and management skills. Ability to implement global standards. Strong analytical and problem-solving skills. Experience in leading teams and/or initiatives is a plus Self-directed with strong partner development skills. Ability to lead and influence in a matrix and global environment. Consistent in delivering results.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Pinterest helps Pinners discover and do what they love. Homefeed is literally the first surface Pinners see when they open the app and so it forms the front-and-center of the Pinterest experience for 400M+ pinners every month. The Homefeed Relevance team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive cross-team engineering efforts for shipping ML-driven product experiences to our pinners. You'll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics. What you'll do: Improve relevance and the user experience on Homefeed Work on state-of-the-art large-scale applied machine learning projects Improve the efficiency and reliability of large-scale data processing and ML inference pipeline Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost What we're looking for: Languages: Python, Java Machine Learning: PyTorch, Tensorflow Big data processing: Spark, Hive, MapReduce 7+ years experience with Recommender system or User modeling, implementing production ML systems at scale 7+ years experience with large scale distributed backend service Experience in working in Deep learning and Generative AI models Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product Bachelors in computer science or equivalent experience Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-REMOTE #LI-DM57 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$227,871-$469,147 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Job Title: Central Ohio Event Staff Company: BEST Crowd Management Pay: $14 - 15 / hr Job Type: Part-time Join the dedicated and professional team at BEST Crowd Management, a leading provider of crowd management and event security services. With a commitment to excellence and a focus on safety, BEST Crowd Management ensures the success of various events by providing top-notch security solutions. As an Event Security Officer, you will play a critical role in upholding our reputation by ensuring the safety and security of attendees, staff, and property. Responsibilities: Make a positive impact by maintaining a visible and professional presence to the standards of the client as well as BEST. Patrolling assigned areas to deter unauthorized activities and ensure the safety of everyone present. Monitor access points, conduct bag checks, perform entry screenings, and remain vigilant to any suspicious parties or situations. Respond promptly and effectively to any security incidents or emergencies, including medical emergencies, disturbances, or unauthorized entry. Collaborate with event staff, law enforcement, and emergency services to coordinate security efforts and resolve any issues that arise. Provide exceptional customer service by assisting attendees, answering questions, and offering directions when needed. Report any security related occurrences or incidents to the appropriate supervisor, law enforcement, or medical personnel. Create and maintain documentation of any relevant activity performed or observed and submit this documentation to the leadership team. Uphold company policies, procedures, and guidelines to maintain a high standard of professionalism and security effectiveness. Requirements: Be at least 18 years old (age requirements may vary depending on local regulations). Hold a high school diploma or equivalent (some college education is preferred). Previous experience in event security, law enforcement, or a related field is advantageous. Possess strong physical fitness and the ability to stand or walk for extended periods. Exhibit excellent observational and problem-solving skills. Demonstrate exceptional communication and interpersonal skills. Work effectively in a team and collaborate with individuals from diverse backgrounds. Maintain flexibility to work evenings, weekends, and holidays based on event schedules. Possess a valid security license or be willing to obtain one (if required by local regulations). Successfully pass a background check and drug screening. Benefits: Enjoy competitive pay based on your experience and qualifications. Take advantage of opportunities for career growth and advancement within the company. Enhance your skills and knowledge through training and development programs. Benefit from flexible scheduling options to accommodate your personal needs. Be part of a positive and supportive work environment that values diversity and inclusion. Note: At BEST Crowd Management, we believe in equal opportunities for all applicants and employees. We highly appreciate the contributions and perspectives that each individual brings to our team. License #**********86