Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron’s DRAM Design Engineering Group (DDEG) is where innovation meets excellence. We are advancing memory and storage technologies through collaborative engineering and creative problem-solving. Our team works at the forefront of semiconductor design, developing solutions that shape the future of memory products in a fast-paced, learning-focused environment. As a Design Verification Engineer, you will help develop next-generation memory technologies by verifying and optimizing digital and analog circuit designs. In this role, you will work closely with global multi-functional teams across the product lifecycle to deliver high-quality, manufacturable memory solutions that meet performance, reliability, cost, and customer requirements. Your work will directly contribute to bringing advanced memory products from concept to production. Responsibilities: Verify circuit functionality, reliability, power, and compliance with product specifications Drive verification planning, coverage closure, circuit debug, and design improvements Perform circuit modeling and simulation using industry-standard tools Support silicon validation, reticle experiments, and tape-out activities Partner with engineering, manufacturing, and product teams to deliver manufacturable designs Minimum Qualifications: Bachelor’s degree in Electrical Engineering or a related field 4+ years of semiconductor design, verifi
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Bracebridge Capital, LLC is a leading alternative asset manager with approximately $12 billion of net assets under management. The firm pursues investment strategies primarily within the global fixed income markets with the objectives of capital preservation and absolute return without significant correlation to equity, interest rate and foreign exchange markets. Established in 1994, Bracebridge manages private investment funds that serve endowments, foundations, pension funds and other institutional and high-net-worth investors. Approximately 170 employees operate from our office located in Boston’s historic Back Bay. The entrepreneurial and collaborative culture at Bracebridge rewards and supports motivated, dedicated, enthusiastic and intellectually curious individuals. We believe our firm’s greatest asset is the people who work here. Bracebridge is seeking to hire a talented undergraduate student as a Summer Intern to work as part of the Investment Operations Department. A Summer Intern might be involved in any of a wide range of projects at Bracebridge, depending on our needs and the individual’s strengths. Past Summer Interns have: Assisted in the review of monthly shareholder statements Prepared daily reports and reconciliations Prepared Profit and Loss reporting Assisted in preparing various ad hoc deliverables The Summer Intern will be involved with other projects and administrative duties, as needed. We seek technically strong, motivated and detail-oriented candidates. Required Skills and Credentials: Academic achievement in pursuit of a BS/BA in Accounting, Finance or related fields Intellectual curiosity and eagerness to learn Strong communication and interpersonal skills Exceptional organizational skills and attention to detail Knowledge of Microsoft Excel is a plus Current anticipated annual base salary: $35 per hour Base salary will be determined by various factors including but not limited to the individual's experience, skil
At Kailera, we are bold, authentic and committed to our mission of developing therapies that give people the power to transform their lives and elevate their overall health. Rooted in an entrepreneurial spirit and a team-oriented culture, we are working together to advance Kailera’s mission to advance novel therapies for obesity and related conditions. We are passionate about creating an inclusive workplace that promotes collaboration, integrity, and excellence. As we expand, we seek the most talented individuals with diverse backgrounds, cultures, perspectives, and experiences to join our team. What You’ll Do: Kailera Therapeutics is seeking an experienced Data Management professional to join as Director, Data Management. This role is accountable for the timely delivery and high-quality execution of Data Management deliverables across early- and late-phase clinical trials. The Director partners closely with key study stakeholders to define and implement a clear, comprehensive data strategy for assigned programs and studies. This position reports directly to the Head of Clinical Data Management. Required location: Waltham, MA (hub-based, onsite 3-4 days per week) Responsibilities: Lead vendor oversight activities across global development programs, ensuring alignment between Kailera and CROs on all data management deliverables. Provide program-level leadership and oversight of clinical data management activities; monitor and report on program and study progress. Represent the Data Management function on the study team, fostering cross-functional collaboration and clear expectations. Monitor vendor performance and quality metrics, escalate issues to management, and drive resolution strategies. Proactively identify risks and develop and implement mitigation or corrective action plans. Ensure Data Management Trial Master File (TMF) documentation is filed accurately and maintained in an inspection-ready state. Support study-level inspection readines
Description As a technician, you play an important role in the testing of Dawn's satellite propulsion hardware and will carry out a range of specialist tasks in our workshop and cleanroom facilities. All systems are assembled, integrated and tested in-house in our Delft office and delivered to customers across the world. Responsibilities Execution of tests such as leak tests, pressure tests, environmental tests, hot fire, etc Preparation and execution of hardware tests at component- and (sub)system level, independently or with support from other AIT team members. Handling of measurement equipment and operating test setups. Complete test reports and analyze test data. Collaborate with engineering and quality to ensure all production data is accurate and complete. Required Qualifications Experience with pressurised systems and pressure testing equipment (e.g. pressure regulators). Either fluidic or hydraulic systems. Experience with basic measurement tools such as multimeters and pressure gauges. Ability to read and follow test procedures. Ability to work effectively in collaborative team environments as well as autonomously. Adapting to change quickly and positively. Ability to follow and enforce basic safety procedures. You are fluent in English You have a vocational or higher professional education background, equivalent to the Dutch MBO or HBO level. Desired Qualifications Experience with propulsion (sub)systems, other satellite subsystems or experience from similar fields like aircraft assembly/maintenance and high-tech. Working in a geographically widespread team. Experience working in controlled environment such as cleanrooms. Note that the role is a permanent position that will start with a fixed-term contract of 12 months. Diversity & Inclusion At Dawn Aerospace, we believe that diverse teams build better solutions. We are committed to creating an inclusive environment where people of all backgrounds, identities, and experiences are valued and
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities and Tasks: Lead HVM photo/overlay metrology yield, quality, productivity, and cost improvement initiatives Resolve complex photo/overlay metrology issues through data ‑ driven root ‑ cause analysis Define and deploy photo/overlay metrology Best Known Methods (BKM) across fabs for HVM and NPI Act as the technical point for cross-fab, complex photo/overlay metrology customer concerns Drive MOR–POR gap closure and cross ‑ fab/node alignment in collaboration with internal teams and suppliers Influence key suppliers and represent OCT in reviews, workshops, and governance forums Job Requirement and Qualifications: BS/MS/PhD in Electrical Engineering, Physics, Materials Science, Chemical Engineering, or related field 5+ years (Senior) or 8+ years (Principal) experience in semiconductor photolithography in NPI/HVM manufacturing Strong hands-on experience in photo/overlay metrology engineering (yield, quality, productivity, cost improvement) Proven experience in solving challenges involving overlay, CDU, metrology, reticle correction, MMM, destack, and yield matching Experience defining and deploying Best Known Methods (BKM) across tools, nodes, or fabs Ability
We are seeking a highly skilled and experienced Data Scientist to join our Perception Verification and Validation team. The team is responsible for verifying and validating the perception stack of our autonomous driving system. The candidate will work closely with other data scientists, perception engineers, and systems engineers to develop datasets and metrics to quantify the performance of our perception system. The candidate will also help define key performance metrics that will enable perception engineers to directly measure the impact of new features on both the overall Perception stack as well as end-to-end system behavior. In this role, You will... Define key performance metrics that will help perception engineers to measure the impact of new features on the perception stack and the end-to-end system behavior Create and maintain datasets used to evaluate the perception stack and end-to-end driving performance. Analyze large scale metric results to identify patterns and insights about perception failure modes. Present results and insights to leadership. Design and implement statistical methods to quantify uncertainty in our performance and validation metrics. Qualifications Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field Proficient using data query languages (SQL and/or Spark/scala) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code Basic experience with autonomous driving, safety-critical systems, or computer vision systems. Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business. Background in statistical modeling and analysis; including experience making data-driven decisions that connect point and uncertainty estimates to business impact. Bonus Qualificati
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Data Engineer on the Data Science & Analytics team, you will build the data foundation for Anthropic’s quote-to-cash lifecycle: the path a deal takes from opportunity through revenue. You will design the canonical data models so that Sales, Deal Desk, Order Management, Revenue Operations and Finance work from one governed, auditable definition of what was sold, on what terms, and where each deal stands. You will partner closely with DS&A and with GTM and Finance systems teams who own Salesforce, CPQ and billing to make quote-to-cash data reliable, well-modeled and self-serve as our business scales. Responsibilities Understand the data needs of Deal Desk, Order Management, Revenue Operations, Finance and Sales systems teams, and translate them into technical requirements Design, build and own data models that transform raw Salesforce, CPQ, and billing data into canonical datasets Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data Partner with Salesforce, CPQ and billing engineers on upstream schema changes, new fields and ingestion so the warehouse faithfully mirrors the systems of record Build foundational data products, dashboards and tools to enable self-serve analytics to scale across GTM teams Influence stakeholder roadmaps from a data perspective, and become the expert on Anthropic’s GTM data models and architecture You might be a good fit if you have 5+ years of experience as a Data Engineer, Analytics Engineer or in a similar Data Science & Analytics role, ideally partnering with GTM, Revenue Operations or Finance teams. A passion for the company's missio
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities and Tasks: Lead HVM photo yield, quality, productivity, and cost improvement initiatives Resolve complex photo process issues (overlay, CDU, EPE, MMM, destack, RWC, yield matching) through data ‑ driven root ‑ cause analysis Define and deploy Photo Process Best Known Methods (BKM) across fabs for HVM and NPI Act as the technical point for cross-fab, complex lithography customer concerns Drive MOR–POR gap closure and cross ‑ fab/node alignment in collaboration with internal teams and suppliers Influence key suppliers and represent OCT Photo in reviews, workshops, and governance forums Job Requirement and Qualifications: BS/MS/PhD in Electrical Engineering, Physics, Materials Science, Chemical Engineering, or related field 5+ years (Senior) or 8+ years (Principal) experience in semiconductor photolithography in NPI/HVM manufacturing Strong hands-on experience in photo process engineering (yield, quality, productivity, cost improvement) Proven experience in solving challenges involving overlay, CDU, metrology, reticle correction, MMM, destack, and yield matching Experience defining and deploying Best Known Methods (BKM) across tools, nodes, or fabs Ability to act as a t
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. For more than 47 years, Micron Technology, Inc. has driven innovation through advanced memory and semiconductor technologies that power the world's computing platforms. The DRAM Customer Enablement team serves as a critical link between Micron's newest memory solutions and the systems that deploy them across cloud, AI, enterprise, client, mobile, and next-generation computing environments. The group committed to DRAM Customer Enablement works closely with hardware, firmware, systems, validation, and analytics engineers to ensure successful deployment of new DRAM technologies. Through system validation, reliability analysis, automation, and customer enablement activities, the team helps bring Micron's latest innovations to market. As an intern, you will gain hands-on experience working with sophisticated memory technologies, modern server and computing platforms, and AI-assisted software development tools. You will contribute to real engineering projects involving platform bring-up, validation, interpreting data, developing automated solutions, and technical problem solving while collaborating with experienced engineers across multiple fields. Responsibilities Support bring-up, validation, characterization, and debugging of server, client, and mobile platforms using Micron DRAM technologies. Analyze engineering and customer data to identify performance trends, reliability concerns, and system-level insights; create dashboards, visualizations, and technical reports to communicate findi
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron is dedicated to crafting a world-class workplace where innovation flourishes, and every team member has the chance to contribute to our ambitious goals. As an Environmental Engineer at Micron, you will have the outstanding opportunity to ensure compliance while encouraging balanced growth and operational excellence. Join us and be part of a team that transforms challenges into successes! Responsibilities: Create, carry out, and refine environmental compliance programs to align with federal, state, and local requirements Manage air, water, stormwater, natural resource permits, and spill prevention programs, including inspections and reporting Lead hazardous waste compliance activities including inspections, shipments, and program oversight Conduct environmental audits, identify gaps, and implement corrective actions aligned with ISO14001 Support construction projects and contractors to ensure environmental requirements are met Minimum Qualifications: Bachelor’s degree in Environmental Engineering, Chemical Engineering, Environmental Science, or related field 1–3 years of experience coordinating environmental compliance programs Working knowledge of CWA, CAA, RCRA, CERCLA, and ISO14001 Strong analytical, problem-solving, and communication skills Good understanding of Agentic AI or willingness to learn Agentic AI to help developed efficient workflow.</
The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle’s overall safety goals. CAS Perception is responsible for processing raw sensor data from our vehicle’s world-class sensor suite using a combination of geometric, interpretable algorithms and deep learning to detect near-collisions with obstacles along our intended driving path, in the most challenging dense urban environments and under tight compute resource constraints. Overall CAS is parallel and complementary to our Main Artificial Intelligence (AI) autonomy stack, and has a close relationship with our vehicle hardware and safety teams in order to architect redundancy into our overall driving system. The CAS Verification & Validation (CAS V&V) is a multidisciplinary team data, software and systems engineers defining and building metrics to measure the Collision Avoidance System performance and work with the Systems Design and Mission Assurance (SDMA) and QA teams to develop validation plans for the features. In this role, you will: Apply distributed computing algorithms to analyze petabytes of urban driving data. Develop metrics and tools to analyze errors and system improvements. Work closely with CAS engineers to evaluate system performance. Collaborate with Perception engineers to define metrics for autonomous driving. Partner with Planning engineers to measure performance in complex urban environments. Qualifications: BS, MS, or PhD degree in computer science or a related field Fluency in C++ and/or Python Extensive experience with programming and algorithm design Bonus Qualifications: Experience with analysis of latency for safety-critical software systems Experience with petabyte-scale distributed computing (Spark, Databricks, generic MapReduce pipelines) <li
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We are seeking a skilled AI Design Specialist to enhance SpaceXSI's models by providing high-quality data annotations and inputs tailored to design contexts. In this role, you will leverage your expertise in fields such as graphic design, brand and visual design, product or UI/UX design, web design, game design, and illustration to support the training of Grok. You will evaluate, refine, and create design work so Grok can distinguish weak design from work that is clear, functional, and well-resolved. This work is grounded in design judgment, not software engineering or mastery of every medium. RESPONSIBILITIES: Evaluate design outputs across formats, including visual assets, layouts, documents, websites, interactive prototypes, and/or games. Distinguish weak design from work that is actually clear, functional, and well-resolved; identifying and clearly articulating issues that look attractive but fail in use. Refine, restyle, or recreate outputs when they fall short, producing exceptionally strong examples. Write precise, well-reasoned annotations and critiques advising upon the difference between mediocre, good, and excellent design. Help label high-quality data
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are part of Micron’s Technology Development organization, focused on building and scaling advanced wet process equipment that enables next-generation DRAM. We partner closely with vendors, process teams, and manufacturing to bring new tools from concept to high-volume production. Our work blends hands-on engineering with real impact on performance, cost, and sustainability—making this an exciting place to shape the future of memory! In this role, you will develop, optimize, and sustain liquid-phase processing equipment used in advanced semiconductor manufacturing. You will work across R&D and manufacturing environments, solve complex hardware challenges, and help drive tools to meet aggressive performance and reliability targets. This is a high-ownership role with strong multi-functional exposure and direct impact on tool development at scale. Responsibilities: Develop and optimize wet process equipment for advanced DRAM nodes Partner with vendors and internal teams to resolve hardware gaps Drive installation, qualification, and upgrades of new tools Apply data analysis to monitor tool performance and solve issues Support transfer of processes from development to manufacturing Minimum Qualifications: Bachelor’s degree in Mechanical Engineering, Chemical Engineering, or related field 3+ years of experience in semiconductor equipment or process engineering Knowledge of wet process equipment and semiconductor fabric
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future. Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we're just getting started. Much of this is being built 0→1 right now, in a category no one has defined yet. We're growing the Claude Science product team. As a Product Manager on Claude Science, you will own a major area of the roadmap end to end — think expanding into new scientific fields, landing new model capabilities with researchers, or making the workbench ready for enterprise R&D teams — and help shape the overall product direction alongside the rest of the team. You'll spend real time with researchers in academic labs, biotech and pharma R&D, and research institutes to understand how science actually gets done — from hypothesis to analysis to publication and beyond— and turn what you learn into shipped product. You'll partner directly with our research teams to make the models better at science, help decide which fields and workflows we go after next, and shape what it takes for Claude Science to be trusted in enterprise and regulated research environm
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Summary The TD Electrical Device Characterization team at Micron is where deep device physics meets real product impact. We work at the groundbreaking edge of DRAM and emerging memory technologies, partnering closely across build, process, and systems teams to develop what ships next. If you enjoy turning complex measurements into insight and influence, this is a place to do your best work. In this role, you will lead electrical characterization for advanced memory devices, driving new methods from early development through production. You will combine hands-on experimentation, data-driven analysis, and technical leadership to connect device behavior to reliability, performance, and product outcomes. This position offers strong ownership, visibility, and the opportunity to mentor others while pushing technology forward. Responsibilities: Lead electrical characterization of advanced DRAM and emerging memory devices Develop and scale characterization methodologies, models, and standards Design and automate test flows, data pipelines, and analysis tools Investigate device behavior, reliability mechanisms, and root causes Collaborate across functions and present technical findings with clarity Minimum Qualifications: MS or PhD or equivalent experience in Electrical Engineering or related field Strong foundation in semiconductor device phys
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