Software engineering manager jobs in Dublin, CA

What we do Idler builds reinforcement learning environments that teach AI models to code like 0.01% engineers. Make your application after reading the following skill and qualification requirements for this position. Our training environments are based on real-world coding scenarios that frontier models will actually encounter. We've closed a multimillion-dollar contract with a leading foundation lab (the largest they've issued to date). Demand is outpacing our capacity to deliver, so we're scaling the team fast. What you'll do Build agentic systems that create and QA coding environments at scale. Most of your day will be spent designing these systems to be extremely sound. A big part of our work is thinking critically about what makes a coding environment and task "good" and "fair". This requires high agency and philosophical thinking alongside technical execution. Concretely, you'll: Design and build scaleable systems that generate RL environments Create automated QA systems to validate environment quality and fairness Work directly with AI researchers at leading labs to understand what makes training data effective Support new product lines as we expand beyond coding environments Staff Engineer Responsibilities & Requirements Lead the process of identifying, specifying, and implementing core technology primitives that maximize the leverage of the rest of the team. Understand and own the technology stack end-to-end. 8+ years of professional software engineering experience. Lead and mentor more junior members of the team. You'll work with The founding team, a founding engineer, and a small group of engineers (we're hiring quickly). You'll have direct access to AI researchers at frontier labs. Tech stack Typescript, React, NodeJS, Postgres, Redis, Vercel, Cursor Benefits Healthcare coverage, 401(k), and 15 days PTO. Meals, coffee, and snacks (that you will actually enjoy) covered during working days. Latest MacBook Pro and equipment. Relocation assistance available. Team offsites and events (we love hanging out). xevrcyc This is an in-person role in San Francisco. We're a tight-knit founding team and we play to win. Join us if you like to win too.

Honey Health is the all-in-one AI back office for primary and specialty care. Our AI agents autonomously handle core back-office jobs, such as aggregating patients data, processing orders and prescriptions, automating prior authorizations, triaging faxes and referrals, and managing RCM(revenue cycle management). Organizations using Honey frequently cut administrative costs in half while improving staff/patient satisfaction and increasing revenue. Built with enterprise-grade security and privacy, our platform delivers real operational transformation. About the Role Honey Health is seeking a Senior/Staff Software Engineer to build leading AI Agent systems that transform healthcare operations. In this role, you will design and implement the infrastructure for training and deploying highly useful AI Agents in healthcare. Our team's mission is to create seamless, robust platforms for AI Agents - enabling them to operate at scale and perform complex tasks safely and autonomously. You'll work closely with AI researchers, product teams and operation teams to translate cutting-edge technical research into impactful healthcare applications, automating back-office works and improving patient care. The ideal candidate is passionate about being the builder of AI Agents (especially in healthcare) and relentless in pursuing high-quality, safe, and beneficial AI systems. This is a full-time role based in the U.S., offering the opportunity to lead innovation at the intersection of AI and healthcare. Is This You? You're fired up about Agentic AI and ready to help shape the future of healthcare. You're joining at the perfect moment to build transformative AI agents, and you're here to learn fast, contribute boldly, and grow into a leader in this space. You're deeply driven to make a meaningful impact - shaping team culture at Honey, redefining value for healthcare providers and patients, and pushing the boundaries of innovation in one of the most impactful industries. You don't just solve problems - you tackle the hardest ones with ambition and drive. You bring relentless energy, even in the face of complexity, always aiming for excellence when it matters most. You bring infectious energy and initiative - sparking bold ideas, asking the right questions, and inspiring the team to explore ambitious paths in a fast-moving, open and exploratory environment. If these describe you, we should definitely talk. In this role, you will: Architect and invent next-generation AI agent infrastructure to train and deploy healthcare AI agents, ensuring the platform is efficient, reliable, and scalable for large-scale workloads and healthcare production environments. Integrate the latest LLM advancements and in-house research into the agent platform, leveraging generative AI and reinforcement learning to continuously enhance agent capabilities. Prototype and integrate AI agents with real healthcare data and services to enable reliable, safe automation in complex workflows (e.g. automating administrative tasks), and design secure sandboxed execution environments to ensure robust operations. Collaborate with healthcare experts to turn novel AI research into practical features, and with pilot customers and clinicians to validate and refine the value in healthcare. Uphold high standards in code quality, testing, and reliability, continuously improve processes & monitoring to deliver an excellent experience for healthcare users. You might thrive in this role if you: 8+ years of industry-related experience. Fueled by a vision to use AI as a force for innovation, care improvement, and system-wide change in healthcare. You've built cutting-edge AI and Agentic systems, ranging from tool-calling stacks to MCP-style frameworks, and bring hands-on experience with LangChain, context engineering, and RL-enhanced agents. Know how to build new things from 0-1 quickly, and then scale them 1,000,000x. Have a strong product mindset with a focus on quality and user impact, care about solutions being technically sound and improving end-user workflows, and have a knack for iterative improvement, testing, and delivering high-impact features. Committed to never settling - pushing limits through continuous improvement, precision, and a mindset to lead. Join us at Honey Health and apply your expertise and talent in AI agents to solve real-world healthcare challenges. You will be at the forefront of a new era where Agentic AI systems meaningfully improve healthcare - from reducing administrative burden to enabling better patient care - all while working with a team that values innovation, safety, and impact. We look forward to your curiosity, ownership, and drive in pushing the boundaries of what AI agents can do in healthcare. Apply now to shape the future of health with us.

Staff Software Engineer - SaaS Healthcare Solutions Location: Santa Clara, US Exo is seeking an experienced Staff Software Engineer to lead the design and development of scalable, cloud-based SaaS healthcare applications. This hands-on role combines deep technical involvement (80% coding and code review) with strategic architecture responsibilities (20% requirements analysis, system design, production support, and team mentorship). The ideal candidate will have extensive experience building distributed systems and SaaS platforms, with a strong background in healthcare technology. Key Responsibilities Write high-quality, maintainable code and conduct thorough code reviews, providing technical guidance to engineering teams Design scalable, fault-tolerant distributed systems for SaaS healthcare applications and lead development of critical system components Collaborate with Product Managers and stakeholders to translate business requirements into technical specifications and architectural designs Lead incident response, troubleshoot complex production issues, and optimize system performance across distributed environments Ensure solutions meet HIPAA, cybersecurity, and medical device regulations while supporting QMS requirements Design and implement integrations with EMR systems, medical imaging platforms, and healthcare protocols (DICOM, HL7, FHIR) Evaluate and recommend technologies, frameworks, and architectural patterns to support business objectives Work closely with cross-functional global teams including Product Managers, Project Managers, and Support Engineering teams Required Qualifications and Skills Bachelor's degree in Computer Science, Software Engineering, or related field 10+ years of software development experience with proven track record in senior technical roles 5+ years of experience architecting and building SaaS applications at scale 3+ years of hands-on experience with distributed systems design and implementation Expert-level proficiency in Python and JavaScript/TypeScript Extensive experience with AWS services (EC2, S3, RDS, Lambda, EKS, etc.) Proficiency with Terraform and Ansible for CI/CD automation Deep understanding of microservices, event-driven architectures, and distributed data management Experience with both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases Experience with message brokers (Apache Kafka, RabbitMQ, AWS SQS/SNS) and containerization (Docker, Kubernetes) Knowledge of RESTful APIs, GraphQL, and API gateway patterns Experience with DICOM standards, HL7, FHIR, and EMR system integrations (preferred) Experience with Active Directory, SSO, LDAP, OAuth, and OpenID Connect (preferred) Salary: 160-200K

AAC is looking for an experienced and energetic Engineering Manager to join it's talented and growing team. This person will help manage and guide our R&D teams to deliver exceptional speaker products to our customers. They will build strong customer relationships through dedicated customer engineering support and product development while working closely with our engineering and management teams in China. Responsibilities include, but are not limited to: Responsible for interacting with customer engineering windows, Review DFM reports and tooling designs with customer AE/ME/PD and process engineers Coordination and management of the NPI new case development project process, and mobilization of relevant resources to meet project needs. Coordinate and monitor feedback from our internal project team, make sure all relevant resources are assigned to meet project needs Able to lead meetings with customers regarding the technical aspects of the projects and consolidate the information and requests for our R&D team to follow up Coordinate the work progress of our engineering, production and tooling teams to deliver on customer requirements Can quickly respond to customer needs, strong sense of engineering, adapt to high-intensity, fast-paced working environment. Make sure to be available for urgent, critical communication that can take place outside regular office hours. Customer communication and information transmission, risk identification and control, report on project progress, problem points and solutions Ideal Candidate Profile Bachelor's degree in Mechanical Engineering Minimum of 5 years experience in consumer electronics or related fields (e.g. medical equipment) and bring products from conception to production Familiar with Injection Molding and Sheet Metal Stamping process, able to understand challenges and work with our team or customer's team to make sure corrective actions are implemented Knowledge of GD&T, SPC, FMEA, PQC and materials (especially for plastic and metals) Able to coordinate multiple projects and interact with multiple design or support teams Good professional ethics, able to create long-term partnerships with individuals inside and outside of the company Able to travel for business both internationally and domestically for extended periods of time as needed Interest in moving towards (or experience in) a direct client interaction/support role. Great communicator and fluent in English. PLUS for fluency in Mandarin Previous experience working with acoustic design engineers and understanding acoustic design parameters

Who We Are At City Storage Systems (CSS), we are dedicated to building Infrastructure for Better Food. Our mission is to empower restaurateurs worldwide to thrive in the online food delivery market. By making food more affordable, of higher quality, and convenient, we're transforming the industry for everyone, from budding entrepreneurs opening their first restaurant to global quick-service chains. What You'll Do As a backend-focused Software Engineer at CSS, you'll play a crucial role in our data-driven development team, helping to advance our state-of-the-art menu platform. Your responsibilities will include: Data-Driven Development: Contribute to our data-centric development efforts. Project Planning: Participate in strategic planning for various internal tools. Agile Methodologies: Implement and test software using agile methodologies. Collaborative Teamwork: Work closely with a team to enhance and support our technology. Code Contribution: Write, debug, maintain, and test code across multiple projects. Architectural Design: Design scalable systems with a focus on robust architecture. Continuous Improvement: Engage in continuous improvement initiatives. Innovation: Drive innovation within the team and support technological advancements at CSS. What the Team Focuses On Our menu platform (check our tech blog) offers comprehensive menu management features designed to streamline restaurant operations, enhance customer experiences, and optimize performance. It serves as a single source of truth for menus, seamlessly integrating with online channels such as DoorDash, UberEats, and Grubhub and offline point-of-sale (POS) systems like Square, Toast, and NCR. Key capabilities include updating menus with new items, pricing, and taxes, performing A/B testing on different structures, setting availability by channel, creating combos and promotions, managing ingredients and SKUs, and configuring operational hours. Additionally, our platform features automated linking to ensure POS and online menus are always synchronized, minimizing discrepancies. Boasting a 99.9% availability rate, our platform supports a vast network of brands in the US and worldwide, ensuring uninterrupted service. Over 100,000 restaurateurs use our platform daily to streamline their operations and consistently express high satisfaction. What We're Looking For Education: Bachelor's Degree in Computer Science or equivalent. Experience: 7-10 years of experience in a relevant role. Individual Contribution: Proven track record of significant contributions in previous roles, demonstrating your impact. Architectural Skills: Ability to design and create robust architecture from scratch and evolve existing systems. Communication Skills: Strong communication and presentation skills, with the ability to collaborate with non-engineering stakeholders. Technical Expertise: Experience designing and implementing scalable, reliable, and efficient distributed systems. Familiarity with Java / Go / Kotlin is required. Concurrency: Experience building systems that can execute multiple tasks while managing overlapping run-time and space complexities simultaneously. Application Maintenance: Experience in maintaining and extending large-scale, high-traffic applications. Why Join Us Growing Market: You'll be part of an $80 billion market projected to reach at least $500 billion by 2030 in the US alone. Industry Impact: Join a team that is transforming the restaurant industry and helping restaurants succeed in online food delivery. Collaborative Environment: Benefit from the support and guidance of experienced colleagues and managers, who will help you learn, grow, and achieve your goals. Work closely with other teams to ensure our customers' success. Additional Information This role is based in our Mountain View office. We look forward to sharing more about a meaningful career at CSS!

The GPU/AI System Technology and Engineering Team is committed to developing highly optimized OS and system software to support deep learning and high-performance computing (HPC) workloads in large-scale data centers. We focus on delivering core software components for the next generation of AI and HPC platforms, benchmarks, and fine-tuning performance. Our work spans the entire hardware/software stack, from GPU drivers to deep learning frameworks, to ensure peak performance across all layers. By joining this team, you will work with the best engineers and talents in this industry and have a broad opportunity to get in touch with the latest AI application systems and newly emerged technology in computing, networking and storage. You will gain remarkable GPU architecture, system software development and GPU validation experience in the most advanced hardware infrastructure on a massive scale. We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok. Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. This Internship Program runs for 12 weeks beginning in May/June 2026. Successful candidates must be able to commit to one of the following internship start dates below: (Select below options for Summer) * 5/11/2026 * 5/18/2026 * 5/26/2026 * 6/8/2026 * 6/22/2026 We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date). Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities: * Design and implement performance benchmarks and testing methodologies to evaluate system performance * Develop benchmark tools and performance optimization of AI workloads specifically tailored for large-scale LLM training and inference, as well as High-Performance Computing (HPC). * Develop Python scripts to automate the testing of various benchmark tools. * Collaborate with internal teams to identify system bottleneck, debug and improve performance issues.Minimum Qualifications: * Must be able to commit to a 12-week full-time work period during Summer 2026 * Currently pursuing a Bachelor's, Master's, or PhD degree within Computer Engineering in Electrical Engineering, Computer Engineering, Computer Science or related majors. * Background with GPU/CPU benchmarking * Familiar with ML/DL techniques, algorithms and frameworks like TensorFlow or PyTorch. * Exposure to testing automation for various applications. * Proficiency in Python and C/C++ * Hands-on experience with Linux based systems * Ability to work independently and complete projects from beginning to end and in a timely manner Preferred Qualifications * Strong background in one of the following fields: High Performance Computing, ML Hardware Acceleration (e.g., GPU/TPU/RDMA) or ML for Systems, and Distributed Storage. * Experience in AI model development, training, evaluation and deployment on Cloud, Cluster or on-premises. * Experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM) * Experience with development applications with CUDA programming * Linux kernel development experience, such as networking and device drivers etc. * Familiar with git workflow. * Exposure to testing automation for various applications. * Experience with complex system-level debugging is invaluable.

By submitting your resume, you're expressing interest in one of our 2026 Software Engineering Internships. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Software teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Throughout the 12-week minimum full-time internship, students will work on projects that have a measurable impact on our business. We're looking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field. Potential Internships in this field include: Development Tools * Debugging complex system-level issues using Jenkins * Course or internship experience related to the following areas could be required: Relational Databases, Linear Algebra & Numerical Methods, Operating Systems (memory/resource management), Scheduling and Process Control, Hardware Virtualization Cloud * Supporting overall architecture and design of our cloud storage infrastructure * Implementing and troubleshooting storage and data platform tools, automating storage infrastructure end-to-end * Course or internship experience related to the following areas could be required: Distributed Systems, Data Structures & Algorithms, Virtualization, Automation/Scripting, Container & Cluster Management, Debugging Tools Infrastructure * Building industry leading technology by proving workflows and infrastructure, alongside a team of experts in production software development and chip design methodologies * Enabling success for content running on the chip from application tracing and analysis to modeling, diagnostics, performance tuning, and debugging * Course or internship experience related to the following areas and technologies could be required: Unix/Shell Scripting, Linux, Java, JavaScript (including Node, React, Vue), C++, CUDA, OOP, Go, Python, Git, GitLab, Perforce, Kubernetes and Microservices, Schedulers (LSF, SLURM), Containers (Docker), Configuration Automation (Ansible) Machine Learning Operations * Deep Learning, GPU Computing, Accelerated Computing * Validation Frameworks for Deep Learning, Deep Learning Frameworks and Libraries (NumPy, SciPy, cu BLAS, cu DNN) * Data Preprocessing, Training Acceleration (CUDA, cu DNN, NCCL), Convolution Operations (cu DNN), Real-Time Inference (TensorRT) * Building Infrastructure for Back-End Analytics What we need to see: Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship. Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: * Java, JavaScript, (including Node, React, Vue), SQL, C, C++, CUDA, OOP, Go, Python, Git, Perforce, Kubernetes and Microservices, Schedulers (LSF, SLURM), Containers (Docker), Configuration Automation (Ansible) Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors. Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Intern benefits. Applications are accepted on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team Our dedicated team members are building the future of Cisco's AI-driven platforms and data infrastructure, supporting innovation across the globe. You will join teams focused on developing advanced data pipelines, machine learning infrastructure, and analytics platforms within business groups such as S&TO, Supply Chain, and Infrastructure Engineering. As part of this collaborative environment, you will contribute to the growth of emerging technologies in data and intelligent systems. Explore the opportunities at the intersection of data engineering and AI, helping to transform how Cisco and its customers harness information and intelligent automation. Your Impact You are a passionate software engineer with expertise in developing scalable data pipelines, designing robust analytics platforms, and building infrastructure to support machine learning initiatives. Your strong background in programming, data systems, and collaboration enables you to solve complex challenges with innovation and attention to detail. By building and maintaining key software tools and platforms, you enable Cisco's business groups to leverage AI and data-driven insights for operational excellence and strategic growth. Your work ensures high-quality, reliable data infrastructure that supports Cisco's leadership in intelligent, scalable technology solutions. Minimum Qualifications * Currently enrolled in a PhD program in Computer Science, Artificial Intelligence, Machine Learning, or a related field. * Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. * Familiarity with distributed data processing technologies, including Apache Spark, Hadoop (MapReduce), or Apache Flink. * Experience with containerization and orchestration tools, such as Docker and Kubernetes, for deploying data and machine learning workloads. Preferred Qualifications * Hands-on experience with AI/ML. * Familiarity with major cloud platforms, such as AWS, Azure, or Google Cloud. * Understanding of distributed systems concepts, including scalability, reliability, fault tolerance, and data consistency, as well as familiarity with distributed computing patterns (e.g., load balancing, consensus algorithms, and inter-service communication). Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

AML-MLsys combines system engineering and the art of machine learning to develop and maintain massively distributed ML training and Inference system/services around the world, providing high-performance, highly reliable, scalable systems for LLM/AIGC/AGI. In our team, you'll have the opportunity to build the large-scale heterogeneous system integrating with GPU/NPU/RDMA/Storage and keep it running stable and reliable, enrich your expertise in coding, performance analysis and distributed system, and be involved in the decision-making process. You'll also be part of a global team with members from the United States, China and Singapore working collaboratively towards unified project direction. We are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at ByteDance. Internships at ByteDance aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date). Summer Start Dates: * May 11th, 2026 * May 18th, 2026 * May 26th, 2026 * June 8th, 2026 * June 22nd, 2026 Candidates who pass resume screening will be invited to participate in ByteDance's technical online assessment. Responsibilities: 1. Participating in online architecture design and optimization centered around LLM inference tasks, achieving high concurrency and throughput in large-scale online systems. 2. Participating in the establishment of a comprehensive system covering stability, disaster recovery, R&D efficiency, and cost, enhancing overall system stability. 3. Participating in the design and implementation of end-to-end online pipeline systems with multiple models, plugins, and storage-computation components, enabling agile, flexible, and observable continuous delivery. 4. Collaborating closely with the MLE for optimization of algorithms and systems. 5. Being proactive, optimistic, highly responsible, and demonstrating meticulous work ethic, as well as possessing strong team communication and collaboration skills.Minimum Qualifications: 1. Currently pursuing an Undergraduate/Master in Computer Science or a related technical discipline. 2. Excellent coding skills, strong understanding of data structures, and fundamental knowledge of algorithms. Proficiency in programming languages such as C/C++, Java, Go, Python, etc. 3. Rich experience in online architecture, with the ability to troubleshoot independently. 4. Strong sense of responsibility, good learning ability, communication skills, and self-motivation. 5. Must be able to commit to a 12-week full-time work period during Summer or Fall 2026. Preferred Qualifications: 1. Understanding of GPU hardware architecture, familiarity with GPU software stack (CUDA, cu DNN), and experience in GPU performance analysis. 2. Knowledge of LLM models, experience in accelerating LLM model optimization is preferred

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Software Development Manager Responsibilities: 1. Drive engineering effort, communicate cross-functionality, and be a subject matter expert. 2. Perform technical software engineering duties and oversee a team of engineers. 3. Utilize data driven decision making and evaluating designs and their complexities. 4. Coordinate cross-functional efforts. 5. Help with recruiting. 6. Manage the team that builds and maintains software infrastructure, systems and applications, and grow the team based on need. 7. Translate business requirements using complex methods/models to determine appropriate system solutions. 8. Evaluate existing infrastructure capacity, performance 9. plan for future requirements, prepare proposals. 10. Evaluate technology/tools and identify prospective solutions. 11. Work within a cross functional team to provide technical expertise in the design and planning of software system solutions. 12. Provide impact analysis on infrastructure due to Projects/Change Requests. 13. Build solutions with Availability, Backup, Capacity planning, Performance, Redundancy, Reliability, Scalability, Supportability while prudently managing risks and costs. 14. Participate to develop and manage on going operational needs of the backend distributed systems. 15. Act as sounding board and as a consultant and leader to develop infrastructure solutions for operational simplicity. 16. Promote organization process that maximizes organization's productivity. 17. Lead and direct to prepare governing principles to guide decision-making pertinent to infrastructure architecture. 18. Develop and execute communication plus education plan for infrastructure architecture. 19. Maximize the performance, uptime, and supportability of cache infrastructure. **Minimum Qualifications:** Minimum Qualifications: 20. Master's degree (or foreign degree equivalent) in Computer Science, Computer Engineering, or related field and three years of work experience in the job offered or in a computer-related occupation 21. Requires three years of experience in the following: 22. Hands-on technical management building holistic web based software solution, API design, and interactions between servers and clients 23. Coding in one of the following languages: C++, Java, Python, or PHP 24. Recruiting and managing technical teams, including performance management and 25. Experience driving roadmap creation and execution **Public Compensation:** $282,456/year to $290,180/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code. What We Value: Integrity, Humility, Happiness What We Expect: Initiative, Collaboration, Completion Role: Reporting directly to the VP, Engineering, you will own the entire software team and will be responsible for execution on Quadric's Chimera SDK (*********************** ). Join us in our shared vision of shipping world class model optimization and compilers for AI inference where it matters most-on the factory floor, in the vehicle, across consumer devices and enterprise. Responsibilities Own end-to-end delivery of the software stack: SDK, graph compiler, kernel libraries, and developer tooling. Set technical direction and a multi-release roadmap for compiler, kernels, and SDK; align with silicon, architecture. Own the inference optimization stack (Quantization -> Compile -> Accelerated Performance) on Chimera architecture for Vision Models, LLMs, VLMs etc. Build and track execution plans, milestones, and KPIs (operator coverage, latency/throughput, accuracy deltas, compile times). Manage and mentor an engineering org (managers + ICs), grow the team, and develop leaders. Be hands-on for critical designs, reviews, and code-especially around IR design, codegen and kernels. Partner with customers and field teams to unblock POCs, prioritize the roadmap, and drive production wins. Establish quality bars and release engineering (CI/CD, testing, benchmarking, reproducible builds, docs, and samples). Requirements Proven track record shipping a production SDK + compiler stack for an ML accelerator, GPU, or NPU. 5+ years experience in managing teams building compilers/ML systems, including 10+ years leading multi-disciplinary teams of ~30+ engineers. Excellent communication and stakeholder management; comfortable with customer escalations and field feedback loops. Data-driven program leadership: roadmap/OKRs, dependency/risk management, budget/headcount planning, and executive reporting. Demonstrated success hiring, coaching, and performance-managing managers and senior ICs; culture builder. Ability to translate product goals into compiler/KPI plans. Knowledge of graph compilers and kernel development: MLIR/TVM/StableHLO/HLO, LLVM, scheduling, codegen. Familiarity with quantization techniques: PTQ/QAT, per-tensor/per-channel schemes, symmetric/asymmetric, calibration datasets, accuracy/perf trade-offs. Strong C++ and Python fundamentals; performance profiling, vectorization, memory hierarchies, and concurrency. Nice to have: Experience integrating PyTorch backends (Dynamo/FX/Inductor/ONNX) and model export. Benefits Provide competitive salaries and meaningful equity Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world's first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow's technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21. Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe is seeking talented and passionate Software Engineer interns across all organizations to help plan, design, develop, and test software systems or applications for software enhancements and new products used in local, networked, cloud-based or Internet-related computer programs and products. Adobe software engineer interns can work directly on products for our Creative Cloud, Document Cloud, or Experience Cloud teams, or they can be immersed in the world of our cloud-based platform - diving into components of our infrastructure or solving problems with big data. We have openings for all interests - web developers, mobile developers, data engineers, frontend development, back-end development, full stack development - the opportunities are endless! All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities. Firefly Firefly is the new family of creative generative AI models coming to Adobe products that offers a new way to ideate, create, and scale content. It's a natural extension of the technology Adobe has produced over the past 40 years. At the core of Firefly are our commercially safe generative AI models trained on hundreds of millions of assets owned or licensed by Adobe. This is an opportunity to reach millions of creatives, helping them reinvent the way they work. What You'll Do * Develop efficient, reliable, testable services code in a variety of stacks (Python, Go) * Work closely with engineers on the team and participate in the development process from requirements and design through development, integration, testing, and deployment * Work with other Adobe teams and collaborating on providing new features * Grow with the support of the team * Work both independently and collaboratively within a fast-paced development team, with clear, positive, and constructive communication. What You Need to Succeed * Currently enrolled full time and pursuing a Bachelor's or Master's in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience required with an expected graduation date of December 2026 - June 2027 * Strong technical background with analytical and problem-solving skills * Previous related experience in software engineering (applicable coursework, projects, internships, etc.) * Proficiency and experience with at least one or more of the following: Java, Python, Go * Familiar with the software development lifecycle - designing, developing, deploying, and maintaining web and mobile apps * Results-oriented, with ability and interest in learning new technologies and adapting quickly to new requirements and environments * Excellent verbal and written communication skills; can effectively articulate complex ideas and influence others through well-reasoned explanations. * Ability to participate in a full-time internship between May-September Bonus qualifications * Experience with GPU-based ML inference services * In-depth knowledge of containerization and modern deployment strategies (k8s) Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Internship Term: Summer 2026 This is a bucket application, and is not an official opening. Your application can be considered for Rivian's 2026 internship programs. If you are selected, you will receive communication with specific responsibilities and qualifications for the role you are being considered for. Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2026 and June 2028. If you are not pursuing a degree, please see our full time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. Responsibilities Applying to this opening will place you into consideration for Rivian's 2026 summer internship program. Teams your application can be considered for include: Digital Platforms Mobile Development (Android or iOS) Internal Applications DevOps Cybersecurity Fullstack Development Front-end Development Back-end Development Qualifications Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree, or one closely related, in Computer Science, Computer Engineering, or similar. Experience in software development and coding in one or more of the following languages: Python, Java, Javascript, Kotlin, Ruby, GoLang, Typescript, or similar. Experience and familiarity with data structures and algorithms. Must have excellent written and verbal communication skills Ability to navigate ambiguity in a fast-paced environment Capable of working as a member of a team across several cross functional disciplines, including with external stakeholders Pay Disclosure Salary Range/Hourly Rate for Internships: The range of pay for internships is 25.00-51.00 per hour. Actual compensation will be determined based on location, and other factors permitted by law. Rivian provides robust wellness benefits, and a medical insurance package for interns, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree, or one closely related, in Computer Science, Computer Engineering, or similar. Experience in software development and coding in one or more of the following languages: Python, Java, Javascript, Kotlin, Ruby, GoLang, Typescript, or similar. Experience and familiarity with data structures and algorithms. Must have excellent written and verbal communication skills Ability to navigate ambiguity in a fast-paced environment Capable of working as a member of a team across several cross functional disciplines, including with external stakeholders Applying to this opening will place you into consideration for Rivian's 2026 summer internship program. Teams your application can be considered for include: Digital Platforms Mobile Development (Android or iOS) Internal Applications DevOps Cybersecurity Fullstack Development Front-end Development Back-end Development

We're ALSO, an electric mobility company originally conceived as a part of Rivian. We're a passionate team of builders, dreamers, doers and innovators, focused on creating entirely new (not to mention, innovative and delightful) vertically integrated, small EVs designed to meet the global mobility challenges of today and tomorrow. Our mission is to inspire everyone to ride ALSO-replacing many local car, truck and SUV miles with ones on vehicles that are more affordable, more enjoyable and 10-50x more efficient. As a Backend Engineering Intern on the ALSO backend team, you'll join a group of engineers building the cloud systems that power the connected experience behind Also's EVs. You'll contribute to developing features, improving data pipelines, and supporting APIs that make our vehicles smarter and more reliable. This internship is an opportunity to gain hands-on experience in backend software engineering, cloud infrastructure, and IoT systems. You'll learn from experienced engineers while contributing to real product features that impact customers and our connected fleet. What You Will Do Collaborate with the backend team to assist in building and testing components of our platform. Contribute to API development and write tests for microservices and data processing workflows that support connected EV features. Work with mentors to improve reliability, scalability, and observability of backend systems. Support integration of telemetry and analytics systems that enable insights into fleet performance. Contribute to development workflows, CI/CD pipelines, and automated testing. Participate in code reviews and team discussions to learn best practices in modern backend engineering. What You'll Learn How to design and implement REST APIs in a production environment Working with time-series data and IoT telemetry at scale Cloud infrastructure basics (AWS services, Docker containers) Software engineering best practices (code reviews, testing, CI/CD) Agile development in a fast-paced startup environment What You Will Bring Currently pursuing a Bachelor's degree in Computer Science, Software Engineering, or a related technical field. Expected graduation date in 2027 Exposure to programming languages like Python, Java, JavaScript, or Go through coursework or personal projects. Understanding of web APIs (REST, GraphQL, JRPC, etc.) and data formats such as JSON. Basic understanding of SQL and relational databases. Interest in learning cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker). Prior exposure is a plus but not required. Curiosity about IoT systems, data pipelines, and distributed infrastructure. Strong problem-solving skills, attention to detail, and a willingness to learn. Excellent communication skills and the ability to collaborate in a fast-paced environment. What You'll Gain Practical experience working on production-level backend systems and cloud infrastructure. Mentorship from experienced engineers across IoT, data, and infrastructure domains. Exposure to scalable system design, data streaming, and microservice architectures. Insight into how software connects vehicles, customers, and analytics in a modern EV ecosystem. The opportunity to make meaningful contributions to the future of connected mobility. The hourly rate for this role ranges from $30.00 to $45.00/hr, based on experience and qualifications. Why ALSO. We're passionate about helping the world find a better way to get there-wherever it is you're headed. We're located in the heart of Silicon Valley and have brought together a world-class team from some of the biggest brands in the technology, automotive, cycling, outdoor recreation and retail spaces. Together we're working hands-on to imagine, design and build an entirely new solution to a global set of transportation challenges. Perks and Benefits Robust health coverage. Excellent health, dental and vision insurance covered up to 100% by ALSO with FSA & HSA options. One Medical membership and dedicated insurance advocates. Rich fertility and family building benefits with Progyny. Flexible time off. 401(k) match.

at Wind River Embedded Software Engineer - College Intern ABOUT WIND RIVER Wind River is a global leader in delivering software for mission-critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability. Wind River helps customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy. The company's software powers generation after generation of the safest, most secure systems in the world. Examples include playing a key role in NASA space missions such as Artemis I, the James Webb Space Telescope, and multiple Mars rovers. We've achieved recent 5G milestones including the world's first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with Vodafone. The company has received industry recognition for its technology innovation and leadership, and for its workplace culture, including global Great Place to Work certification and being named a “Top Workplace” for ten consecutive years. If you want to be part of a unique culture where the lived experience is based on our cultural attributes of growth mindset, customer-focus, and diversity, equity, inclusion & belonging, come join us and help advance the future software defined world. YOUR ROLE We seek a summer intern college students to join our Professional Services Embedded Software Engineering team. This is an exciting opportunity to work on cutting-edge development projects and collaborate with a team of experts in the embedded software field. As a contributing member of our North American team, you'll develop embedded solutions for critical infrastructure industries.In your daily job you will: Develop, implement, and test embedded software systems, including device drivers and Board Support Packages for embedded hardware using Linux, VxWorks Real Time Operating System, or Helix Virtualization Platform Produce high-quality software, including projects that require safety certification Troubleshoot and debug embedded software, solving complex technical issues Collaborate with project teams to deliver mission-critical embedded solutions to clients Participate in design, code, and test reviews; contribute to team and customer technical discussions HOW YOU WILL CONTRIBUTE Key skills and competencies for succeeding in this role are: Pursuing a BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or related field Strong academic performance, involved in student groups, volunteer work, leadership Junior, Senior or MS standing for summer internships Strong proficiency in C/C++ programming Experience with embedded systems development (device drivers, boot loaders, Board Support Packages, firmware) and familiarity with embedded processors (ARM, MIPS, x86, PowerPC, RISC V) Excellent communication skills (verbal and written) and ability to work effectively in a team Preferred: Real-time operating system (RTOS) experience (e.g., VxWorks, Linux Preempt-RT, Zephyr) APPLICANT PRIVACY NOTICE: Your privacy is of the utmost importance to us. At Wind River, we strictly adhere to all applicable data privacy laws. Please review Wind River's Applicant Privacy Notice, which can be found here . “Wind River is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law” SECURITY CLEARANCE REQUIREMENTS Successful candidates must engage in a security clearance process in regard to their citizenship in order to perform fundamental job duties, as per applicable law. In particular, candidates with certain citizenship may not be able to perform such fundamental job duties. Currently, this includes citizens of the following countries: Belarus; Burma; China; Cuba; Iran; North Korea; Syria; Venezuela; Afghanistan; Cambodia; Central African Republic; Cyprus; Democratic Republic of Congo; Ethiopia; Eritrea; Haiti; Iraq; Lebanon; Libya; Russia; Somalia; South Sudan; Sudan; Zimbabwe. The security clearance process may take a significant amount of time to complete, and any offer of employment will be contingent on the candidate's legal ability to perform the fundamental job duties. Wind River is committed to meeting its obligations to candidates under applicable human rights law and privacy law in this regard.

Your work days are brighter here. We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too. About the Team Workday is the enterprise AI platform for people, money, and agents. The Infrastructure and Production Engineering team (IPE) delivers it all with industry leading solutions to deploy, manage, secure and scale Workday reliably across the entire globe. We solve some of the companies hardest problems and joining our team affords you the opportunity of a life time to advance your career at one of the worlds premiere enterprise SaaS providers. Whether you thrive by solving sophisticated business problems, collaborating with agile teams, or championing innovation, Workday offers an environment where your talents can grow. Our engineering team manages compute and network, performance and reliability, security and privacy supporting 100s of products and services to 10,000 customers worldwide. Our winning technology is built on an outstanding culture, core values, and dedication to excellence. We're proud to have received numerous awards for outstanding workplace culture, and commitment to sustainability and we are looking for talented people world-wide. About the Role As the Senior Director, Capacity and Cloud Analytics Engineering, you will be responsible for defining the global strategic vision for Workday's capacity engineering and cost optimization initiatives across private and public clouds. This critical leadership role sits within the Infrastructure and Production Engineering (IPE) organization and is tasked with establishing the long-term roadmap for production capacity optimization services as well as the Data Engineering and Analytics Platform powering Workday's infrastructure management strategy. You will operate at the intersection of infrastructure strategy, financial planning, and advanced data engineering, ensuring alignment across all major product lines and cloud infrastructure investments. You will lead the organization responsible for building scalable data systems, producing executive-grade analytics, and delivering automation crucial for optimizing cost and performance across Workday's entire public cloud footprint. This role requires a leader who can drive transformation, influence executive stakeholders (VPs/SVPs), and drive engineering rigor across a diverse, global organization Key Responsibilities * Define, execute, and champion the global strategy and multi-year roadmap for cloud cost governance, infrastructure optimization, and capacity engineering, ensuring maximum value extraction from Workday's cloud investments. * Drive alignment and accountability as a key strategic partner and advisor to Workday's Executive Leadership (VPs, SVPs) in technical and business functions to define cloud investment priorities and drive enterprise-wide financial accountability for cloud spend. * Provide executive leadership and mentorship to a global organization of Directors, Senior Managers, Data Engineers, FinOps Data Analysts, and DevOps professionals, ensuring the delivery of high-impact optimization solutions at scale. * Drive transformational Change leading cross-functional initiatives to integrate FinOps principles across Workday, utilizing our data platform capabilities to drive large-scale behavioral and architectural changes related to cloud usage. * Elevate engineering excellence overseeing the advancement of host, pod, container and JVM runtime optimization initiatives globally. In doing so, maintain a significant data modeling and analytics platform used by all development and finance teams across the company * Foster a strong culture of ownership, innovation, and open-source collaboration within the organization and across technical partners. * Represent the organization's vision and strategic progress clearly to audiences at all levels, including executive steering committees and financial leadership. About You Basic Qualifications * 15+ years leading complex engineering organizations, with at least 5 years managing Directors or leading multi-disciplinary organizations responsible for global platform strategy. * A consistent and verifiable record of building, scaling, and retaining top engineering talent for a high velocity team. * 7+ years as a Software Engineer or hands-on technical contributor, demonstrating deep understanding of platform infrastructure. * Extensive experience (5+ years) working with AWS/GCP public cloud services in a capacity/FinOps context. * Demonstrated deep practical knowledge of FinOps principles and proven success in optimizing cloud usage and spend at a massive scale. * Exceptional written and verbal communication skills, with experience presenting complex technical and financial strategy to executive and executive-level audiences. * Master's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Other Qualifications * Experience managing organizations with significant contribution to or management of open-source projects. * Deep familiarity with modern data frameworks (dbt, Airflow, Spark) and data modeling/warehouse platforms. * Extensive exposure to observability tools (Prometheus, Grafana, Datadog) and SQL query engines (Trino/Presto, Delta Lake, or Hive). * Expertise in cloud deployment practices including GitOps, containerization (Docker/Kubernetes), and CI/CD. Workday Pay Transparency Statement The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday's comprehensive benefits, please click here. Primary Location: USA.CA.Pleasanton Primary Location Base Pay Range: $268,000 USD - $402,000 USD Additional US Location(s) Base Pay Range: $226,500 USD - $402,000 USD Our Approach to Flexible Work With Flex Work, we're combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter. Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records. Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates' privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Amazon Aurora DSQL is a serverless, distributed SQL database that combines the performance and scalability of cloud-native architecture with the familiarity and ecosystem of PostgreSQL. Aurora DSQL automatically scales compute and storage, delivers high availability across regions, and eliminates operational overhead-while remaining compatible with PostgreSQL applications and tooling. Key job responsibilities As a Software Development Manager on the DSQL Query Processing team, you will be responsible for leading a strong team of software engineers to build a high-performance Postgres-compatible serverless query processing (planner + executor) that is able to support OLTP workloads on a virtually unlimited, disaggregated storage. You will be responsible for mentoring and coaching a high-performing team of engineers with expertise in both Postgres and distributed systems. You will be responsible for the full development life cycle and operation of services. You will work with the product team and other engineering teams to help build the roadmap and ensure the right thing is being built and delivered to customers. A day in the life * You will take on a variety of tasks, balancing priorities to ensure the team's success: * Create, prioritize, communicate, manage, and execute roadmaps, projects, and other commitments. *Contribute to the long-term architecture enabling Aurora DSQL to support next-generation PostgreSQL features at virtually unlimited scale. * Set clear, measurable goals for the team and regularly communicate status of development, quality, operations, and system performance. * Lead the team to improve processes to deliver higher software development velocity and quality. * Lead team operational strategy defining metrics, improvements and support. * Foster a culture of continuous improvement through coaching, mentoring, and feedback. About the team We are the Aurora DSQL Query Processing team; this team is the execution engine behind every SQL executed statement in Aurora DSQL. We are responsible for bridging one of the world's most advanced open-source databases with AWS's distributed, serverless architecture. Our engineers come from database internals backgrounds and large-scale distributed systems teams. We value curiosity, precision, and craftsmanship-and we work in an environment where deep systems problems meet high-scale real-world impact. We are committed to mentorship, technical excellence, and shared ownership. You'll work alongside engineers who have contributed to PostgreSQL's planner, executor, and MVCC subsystems-and help define how Aurora DSQL evolves to support PostgreSQL workloads natively in the cloud. - 3+ years of engineering team management experience - 7+ years of engineering experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers 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 ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description This role will be based in Sunnyvale, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Do you thrive in a fast-paced and dynamic environment where you can leverage the latest technologies and methodologies to improve efficiency and quality in data curation, annotation and operations? We're seeking an exceptional Director of Data Curation and Annotation to lead our talented team of data professionals. At LinkedIn, our Core AI organization stands as the innovation epicenter, addressing the fundamental AI challenges and the force behind LinkedIn's next-generation AI-driven member experiences. Our mission spans across the entire marketplace, leveraging our expertise in data curation, algorithm development, and robust infrastructure to spearhead AI innovations. We are dedicated to creating a transformative impact on all LinkedIn products, establishing the platform as a leader in the AI realm. In this role, you will be a core member of LinkedIn's Core AI team and will partner closely with other verticals in Data and AI organization and other Product teams. You'll be driving and managing all data curation and annotation efforts across LinkedIn. You'll be at the forefront of transforming how we curate and annotate data, leveraging cutting-edge AI technologies to enhance our processes. You will oversee the development and improvement of the tools and platforms that support these activities. Success in this role hinges on building strong partnerships. You'll work closely with teams across the company, ensuring their data requirements are met swiftly and effectively. Your vision, leadership, and strategic mindset will be critical as we push the boundaries of what's possible. As the Director, you'll oversee a diverse group of nearly 40 individuals across various functions, including AI linguists, program managers, software engineers, AI engineers, engineering managers, and linguist managers in addition to tens of contractors. You'll collaborate closely with cross-functional teams, understanding their unique data needs and priorities. Beyond managing existing data operations, you'll spearhead our transformation journey. We're committed to making data annotation more efficient using AI techniques. Your expertise will be instrumental in streamlining processes, optimizing workflows, and implementing best practices. Get ready to challenge the status quo and elevate our capabilities. Responsibilities: * Lead and manage multiple managers across functions, overseeing data annotation projects in diverse domains. * Develop and align data annotation strategy, best practices, and roadmaps with internal and external stakeholders. * Innovate by adopting new tools, platforms, and techniques (e.g., automation, crowdsourcing, active learning). * Ensure data sets' quality, consistency, accuracy, and compliance with security and privacy standards. * Establish KPIs, track metrics, and provide regular reports to senior management and relevant parties. * Identify and resolve issues, implementing corrective actions for successful project delivery. * Build and motivate a high-performing, diverse team through coaching, mentorship, and development. * Attract, hire, and retain top talent, ensuring resource allocation for organizational needs. * Foster collaboration, innovation, and continuous improvement across the organization. Qualifications Basic Qualifications: * Master's or PhD degree in information science, library science, linguistics, cognitive science, computer science, or a related field, or equivalent work experience. * 5+ years of experience in leading and managing teams and projects. Preferred Qualifications: * ML expertise (build and serve models), building GAI products, RL is a plus * Platform expertise, data and system infrastructure at scale * Experience with Python or Java * Experience with LLM evaluations and annotations is a plus * Startup mindset, zero to one product builder, system thinker * Ability to communicate, inspire teams, leadership and executive presence * Demonstrated ability to lead, coach, and grow a diverse team of senior managers, linguists, and engineers. Fostering a culture of excellence, collaboration, and innovation. Experience in leading or working with remote or distributed teams and contractors. * Deep understanding of data curation and annotation principles, methodologies, and standards. Curiosity about the latest trends in natural language processing, machine learning, and artificial intelligence, and their application to data curation and annotation. * Demonstrated success in delivering complex and large-scale data annotation projects, preferably in the context of AI solutions and applications. Ability to navigate diverse processes, tools, and stakeholders seamlessly. * Ability to think strategically, creatively, and proactively, making sound decisions based on data and analysis even under uncertainty. * Strong ability to communicate complex information clearly and persuasively, both verbally and in writing. * Sense of ownership, user-centric decision-making, and effective prioritization. * Ability to adapt, learn, and thrive in a rapidly changing environment. Experience with remote or distributed teams and contractors. Additional Information Suggested Skills: * Communication * Leadership * Data annotation You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $226,000 to $369,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

**The Role:** As an AI Software Engineer Leader on the Enterprise AI team, you will play a critical role in shaping GM's future through high-impact AI systems. You will be responsible for managing a team of skilled engineers developing AI technologies and integrating them into GM's core platforms. You'll be a hands-on leader focused on working with key partners to build AI/ML workflows. You'll work closely with other engineers and teams to deliver performant, production-grade systems. **What You'll Do** **:** + Design, develop and test cutting-edge AI infrastructure, optimizing machine learning and AI-driven applications across GM's global platforms. + Collaborate with cross-functional teams (data scientists, software engineers, product teams) to bring AI solutions into production at scale. + Design and implement robust, high-performance software systems with a focus on scalability, security, and efficiency. + Lead technical initiatives in validation, deployment, and monitoring in real-world environments. + Design and implement integrations with diverse data sources and SaaS platforms using APIs, while orchestrating workflows through internal and third-party tools. + Optimize cloud resources for cost, performance, and scalability. + Mentor and guide junior engineers, fostering a culture of innovation and technical excellence. **Your Skills & Abilities (Required Qualifications):** + 10+ years' experience required of software engineering, with a strong background in Python, Java and .NET. + 5+ years' experience managing an engineering team + Bachelor's degree or higher in Computer Science, Data Science, AI/ML, or equivalent experience. + Ability to define and propose innovative solutions to business problems and projects that may begin with ambiguous requirements and requests. + Expert knowledge of cloud platforms such as AWS, Azure, or GCP, and container orchestration technologies. + Experience adapting and designing AI integrations with tools such as Slack, Google Workspace, Moveworks, Glean, Copilot, Workday and/or ServiceNow. + Experience with DevOps practices and CI/CD tools, pipelines, and scripting for automation. **What Will Give You a Competitive Edge (Preferred Qualifications)** : + Understand enterprise-level application architecture diagrams and IT security requirements. + Experience and knowledge in application performance in cloud settings + Self-starter with the ability to influence others, working in teams and independently with leaders and stakeholders across many different organizations within Software and Services. + Ability to communicate complex concepts in simple, visual terms suitable to a wide cross-section of audiences. + Expert knowledge of algorithms, distributed systems, and API development. + Excellent problem-solving skills, with the ability to think strategically and deliver in a fast-paced environment. + Experience with natural language AI, such as customization, summarization and translation. + Effective time management skills to balance workload across multiple simultaneous projects and meet deadlines proactively and independently. This position requires the ability to legally operate a motor vehicle on a regular basis. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review. This job may be eligible for relocation benefits. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. 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. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .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.