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. 職務内容• 責任範囲： - プロセス条件およびプロセス技術の確立• 改善 - プロセス能力の向上および製造コストの削減 - プロセス管理プロジェクトの立ち上げおよび改善 - 各種半導体製造装置におけるプロセスパラメータの設定 - 新規装置• 材料の評価, 導入検討および導入計画の推進 - 異常解析および改善対応 About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities - from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_japan@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Who We Are Perchwell is the modern real estate listings platform built for agents to search smarter, collaborate better, and close deals faster. We are building the future of residential real estateʼs critical listings infrastructure: a platform where market research and client collaboration converge. Our modern architecture enables continuous innovation at a pace legacy systems cannot match, with AI-powered features and mobile-first capabilities designed for how agents actually work. As consumer expectations and technology evolve, Perchwell remains focused on our core vision: empowering real estate professionals with the most intelligent, data-driven, and connected platform in the industry. Backed by leading venture capital firms including Lux Capital and Founders Fund, along with strategic partnerships with some of the country's top Multiple Listing Services (MLSs), Perchwell represents the first major new platform to enter the listings technology market in decades. This unique combination of institutional investment and deep industry alignment provides both the resources and market validation needed to transform the multi-trillion dollar residential real estate industry. What We’re Looking ForPerchwell is expanding the engineering leadership behind our next-generation platform. We're looking for a Senior Engineering Manager to lead two teams simultaneously: a core platform team building the foundational infrastructure of the new platform, and a customer-facing feature team building the product layer that agents and brokerages interact with daily. This is one of the most consequential roles on our engineering team right now - you'll have real ownership over both teams at a pivotal moment, as we build against aggressive timelines and scale the organization around a platform that doesn't yet exist anywhere else in the industry. This is not a people-management-only role. We need someone who brings genuine technical depth, gets into the weeds when the team hits hard problems, and can hold the line technically while also building a team that scales. What You’ll Do - Own engineering leadership across two teams - core platform and customer-facing features - with full accountability for delivery, team health, and technical direction - Lead, mentor, and grow engineers through coaching, feedback, and hands-on technical guidance - Contribute meaningfully to technical problem solving, particularly around backend systems; this is an actively hands-on role, not a management-from-a-distance one - Drive execution against defined deliverables while helping the team work through open architectural questions that don't yet have clean answers - Balance planned roadmap work with reactive needs while maintaining clear priorities, expectations, and momentum for the team - Strengthen engineering processes including code quality, release readiness, and consistent execution - Collaborate closely with product, design, and other cross-functional stakeholders to align on requirements, scope, and sequencing early in the process - Hire and onboard additional engineers across both teams - Build and sustain a team culture grounded in humility, curiosity, and high standards Required For The Role - 8+ years of software engineering experience with at least 4-5 years managing engineers - Strong backend systems experience - authentication, authorization, configuration, and data infrastructure at scale; frontend familiarity is a plus but backend depth is where you'll have the most immediate impact - Fluency in one or more of Go, TypeScript, Python, Kotlin, or Ruby; familiarity with React is a bonus - Technical depth sufficient to engage credibly with staff-level engineers on hard problems and contribute meaningfully to architectural decisions - Demonstrated ability to lead teams through both execution-focused delivery and open-ended technical problem solving - Experience managing teams of 5-10 engineers, with comfort scaling toward that range - Proven ability to operate with autonomy in fast-moving, high-ambiguity environments Preferred Qualifications - Experience with GCP or comparable cloud infrastructure - Real estate or proptech background - Hands-on experience with authentication and authorization systems at scale - Background in organizations that scaled engineering teams rapidly Who Thrives In This Role - Technically credible and willing to prove it: comfortable engaging with staff-level engineers on hard problems without needing to be the expert in every room - Humble and self-aware: this team is full of genuinely smart people, and the best candidates will find that energizing rather than threatening - Disciplined and quality-minded: you prefer long-term solutions over short-term patches and bring order to fast-moving, high-volume environments - Curious and self-directed: you have a demonstrated pattern of diving into unfamiliar domains and getting up to speed fast - Customer-obsessed and outcome-driven: you're energized by building for real users with urgent needs and hold yourself accountable to results, not just effort - Highly collaborative, especially with non-engineering teams: you understand that the best outcomes come from tight cross-functional partnerships Salary Range:The compensation for this position is $200-$255K base salary + equity + benefits. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. Our ranges are based on function and level benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including skills, job-related knowledge and depth of work experience. Benefits - Flexible PTO, plus 10 paid company holidays - 401K with a company match - Medical, dental, and vision plans - HSA and FSA options - Commuter benefits - Parental leave - Company-wide onsite or offsite each year - Beautiful office in Soho, Manhattan with a stocked kitchen, catered breakfast and lunch once per week, happy hours and meet-ups Note: At this time, we are only considering candidates who are authorized to work in the U.S.

Staff Machine Learning Engineer (REMOTE) Locations: Remote, Georgia, USA Full time With a career at The Home Depot, you can be yourself and also be part of something bigger. Job Description Position Purpose: The Staff Software Engineer is responsible for leading a team of engineers building and designing a product that our customers and associates love. As a Staff Software Engineer, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In this role, you will also provide technical leadership on machine learning systems, including model development, production deployment, monitoring, and lifecycle management of ML solutions operating at scale. In addition, Staff Software Engineers will assist in product and tool selection, configuration, security, resilience, performance tuning, and production monitoring. Staff Software Engineers contribute to foundational code elements that can be reused as well as architectural diagrams and other product-related documentation. You will help define best practices for building reliable, explainable, and maintainable ML systems that integrate seamlessly with broader software platforms. As a Staff Software Engineer, you will be a core player on the product team and are expected to build and grow the skillsets of the more junior Engineers. Key Responsibilities: - 45% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions, Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively - 15% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations; Attends conferences and learns how to apply innovations and technologies where appropriate - 20% Strategy and Planning - Researches and analyzes business trends and behavioral data to identify opportunities for improvement and new initiatives; Leads the evaluation development and recommendation of specific technology products and platforms to provide cost-effective solutions that meet business and technology requirements; Researches and designs best fit infrastructure, network, database, security, and machine learning architectures for products; Proactively creates and maintains tools for monitoring and support; Participates in project planning and management across multiple efforts; Develops formal training courses - 20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality Direct Manager/Direct Reports: - This Position typically reports to the Software Engineer Manager or Sr Software Engineer Manager - This Position has 0 Direct Reports Travel Requirements: - Typically requires overnight travel 5% to 20% of the time. Physical Requirements: - Most of the time is spent sitting in a comfortable position, and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles. Working Conditions: - Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: - Must be eighteen years of age or older. - Must be legally permitted to work in the United States. Preferred Qualifications: - 3 - 6 years of relevant work experience - Strong experience designing, training, evaluating, and deploying machine learning models in production environments, including batch and real-time inference systems - Experience with ML lifecycle management, including feature engineering, model versioning, experimentation, validation, and monitoring for data drift and model performance degradation - Experience building and operating ML pipelines using cloud-native services, data platforms, and CI/CD practices for reproducible and reliable model deployment - Strong understanding of applied statistics, model evaluation metrics, and tradeoffs between model accuracy, interpretability, latency, and operational cost - Experience with algorithms such as clustering, forecasting, anomaly detection, and neural networks. - Experience with basic statistics and regression algorithms - Experience in advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embedding generation and utilization - Experience in training machine learning models with extremely large datasets - Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, TensorFlow, PyTorch, etc. - and experience integrating them into scalable software systems - Experience in Google Cloud Platform and AI/ML-related components such as Vertex AI, BigQueryML, and AutoML - Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc - Experience in a modern scripting language (preferably Python) - Experience in writing SQL queries against a relational database - Experience in version control systems (preferably Git) - Experience in a Linux or Unix-based environment - Experience in a CI/CD toolchain - Experience in REST and effective web service design - Experience in production systems design, including High Availability, Disaster Recovery, Performance, Efficiency, and Security - Experience in cloud computing platforms and associated automation patterns, and the machine learning services they provide - Experience in defensive coding practices and patterns for high Availability - Experience in A/B testing and effective REST design for scalable web services architecture - Familiarity with advanced machine learning architectures, GANs, GRU, LSTMs, RNNs, CNNs, and style transfer Minimum Education: - The knowledge, skills, and abilities are typically acquired through the completion of a high school diploma and/or GED. Preferred Education: - No additional education Minimum Years of Work Experience: - 3 Preferred Years of Work Experience: - No additional years of experience Minimum Leadership Experience: - None Preferred Leadership Experience: - None Certifications: - None Competencies: - Global Perspective - Manages Ambiguity - Nimble Learning - Self-Development - Collaborates - Cultivates Innovation - Situational Adaptability - Communicates Effectively - Drives Results - Interpersonal Savvy For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents: The pay range for this position is between $120,000.00 - $190,000.00

Role Description Seeking a Senior Applications Engineer with deep technical expertise in IC design and characterization with strong technical communication skills to support customer engagements and develop comprehensive product documentation. The ideal candidate will serve as a critical technical bridge between our design teams, customers, and business development organizations. Key Responsibilities - Product Documentation & Technical Content - Create detailed technical specifications, characterization data, and application guidelines. - Develop and maintain comprehensive product datasheets for ASIC and standard product offerings. - Document electrical characteristics, timing diagrams, functional descriptions, and package information. - Ensure all technical documentation meets industry standards and customer requirements. - Produce application notes, design guides, and reference designs that enable customer success. - Customer Technical Support - Conduct design reviews and offer guidance on IC integration and system-level implementation. - Deliver technical presentations and training to customers and field application engineers. - Provide pre-sales and post-sales technical support to customers and internal teams. - Troubleshoot customer design issues and recommend solutions. - Product Characterization & Validation - Analyze silicon measurement data and validate performance against specifications. - Define and execute IC characterization test plans across process, voltage, and temperature corners. - Support failure analysis and root cause investigation activities. - Work with design and test engineering teams to optimize product performance. - Cross-Functional Collaboration - Collaborate with product marketing to define product positioning and competitive advantages. - Contribute to new product definition based on customer feedback and market requirements. - Interface with IC design teams to understand product features, limitations, and optimal use cases. - Support sales teams with technical expertise during customer engagements. Qualifications - 5+ years of experience in IC applications engineering, design engineering, or related technical role. - Bachelor of Science in Electrical Engineering, Computer Engineering, or related field (MS preferred). - Proven track record of developing technical datasheets and application documentation. Technical Skills - Ability to translate complex technical concepts into customer-facing content. - Exceptional technical writing skills with ability to create clear, accurate, and comprehensive documentation. - Experience with documentation tools and version control systems. - Experience with lab equipment (oscilloscopes, logic analyzers, signal generators, etc.). - Experience with semiconductor device physics, CMOS technology, and circuit operation. - Familiarity with industry-standard communication interfaces (PCIe, Ethernet, DDR, SerDes, etc.). - Knowledge of IC packaging, thermal management, and power delivery considerations. - Proficiency in interpreting and analyzing electrical test data and characterization results. - Strong presentation skills for both technical and business audiences. - Strong understanding of digital and/or analog IC design principles. Preferred Qualifications - Background in system-level design or board-level integration. - Experience supporting government or military programs. - Experience with high-reliability or radiation-hardened IC technologies. - Familiarity with ITAR regulations and defense/aerospace industry requirements. - Knowledge of EDA tools and design flows (Synopsys, Cadence, or Mentor). - Understanding of ASIC development processes and foundry technologies (GlobalFoundries, Intel, TSMC). Work Environment - Collaboration with cross-functional teams across engineering, marketing, and sales. - May require occasional travel to customer sites or industry conferences (10-20%). - Office-based position with occasional lab work for IC characterization and testing. - Potential for customer-facing activities requiring professional presentation skills. Security Requirements - Ability to obtain and maintain security clearance may be required for certain programs. - U.S. citizenship required due to ITAR restrictions on technical data. Benefits - Health and Dental Insurance. - 401K Plan with Profit Sharing. - Paid Time Off (PTO). - Stock Option Plan.