Advanced Cmos Device And Process Integration Engineer Jobs

About Team Category Management - BPC is one of the key business unit for the platform which is poised for tremendous growth and fashion democratization. We are looking for an Associate who will be a good fit to the team and instrumental in driving the growth of Beauty & Personal Care. Roles & Responsibilities Increase sales and profitability of business to drive sustainable growth Manage relationships with brand partners and establish Myntra as the preferred destination for customers as well as brand partners. Scaling the brands on the platform with continuous work across selection, catalogue, marketing etc. Identify white spaces in the portfolio and onboard/develop potential brands to fill the gap Manage On App Category visibility planning Analyze data and reports from various sources, Responsible for creating and maintaining, consolidating various reports Operational excellence - Candidate should have prior experience or enough knowledge to manage day to day operational issues effectively related to cataloging, pricing, merchandising and discount monitoring. Stay updated on industry trends and market competitions in Beauty & Personal Care profile. Qualifications & Experience Candidate should have 2+ Years of experience Preferred from Fashion e-com or retail background Proficient in Advance Excel Excellent communication, presentation and interpersonal skills Hands on experience with analyzing data and making forecasts. Analytical and critical thinker Takes complete end-to-end ownership of the task

Zoox's Robot Software Infrastructure team is seeking a passionate software engineer to help develop Robot software and infrastructure to advance the common performant operating system that powers several devices on our vehicle including Autonomy systems. This team develops platform-level software and services, including operating systems that enable complex, hardware-accelerated workloads critical for autonomous driving on automotive-grade hardware. We work closely with cross-functional teams—including application software engineering, release management, hardware engineering, manufacturing and operations—to support vehicle development and deployment at scale. If you are excited to explore a wide problem space and are mindful of how components fit within a larger system, you may be a great fit! In this role, you will: Design, develop, and maintain end-to-end continuous integration and validation toolchains for the operating system platform that powers various on-bot devices and applications on the Robotaxi Architect and implement platform-level software to support robust and scalable robot software infrastructure Configure and manage embedded Linux build systems (e.g., Yocto) and bootloader processes (e.g., U-Boot) to ensure reliable system startup and maintenance Develop and optimize device drivers and kernel-space components using C, C++, or Rust to meet performance and reliability requirements Collaborate cross-functionally to support seamless integration and delivery of the OS platform, triage issues, support new hardware bring-up and manufacturing functions Qualifications: 8+ years delivering production systems and software applications Designed and deployed end-to-end continuous integration and validation toolchains to verify Linux/OS images for production software releases supporting different hardware platforms Proficiency in Linux internals, including init systems, containerization,

The Global Clinical Supply (GCS) Automation Solutions Specialist will leverage qualified automation platforms to design and maintain forms, templates, and workflows across a broad range of projects that advance the business digital transformation goals. For this position, candidates will need to be well versed in workflow digitization/automation tools and techniques, familiar with the Microsoft suite of applications, operate independently, be a creative problem solver, and have a willingness to continuously learn in order to successfully deliver optimal solutions across a diverse and dynamic portfolio. This role requires providing support across other global time zones based on business need, specifically from 8:00 p.m. to 5:00 a.m Philippine Time or 9:00 p.m. to 6:00 a.m. Philippine Time (equivalent to 8:00 a.m. to 5:00 p.m. U. S. Eastern Time). Role Responsibilities Perform implementation and maintenance of Document Automation, and Workflow Business Enablement solutions Implement GCS SharePoint Sites and SharePoint based workflows using PowerApps / Power Automate Work with business Subject Matter Experts (SMEs) and Business Analysts (BAs) to ensure requirements are well defined and understood In partnership with Digital, support all aspects of the system change control process (prioritization of new functionality, definition of user requirements, User Acceptance Testing, System Development Lifecycle document reviews, etc) Create visually engaging presentation and training materials, process flows and guidance documents that enhance business use of technology Provide ongoing business support to business users Monitor utilization of core digitization solutions and regularly report usage metrics Identify opportunities for continuous improvement and lead or participate on projects that enhance GCS systems and processes Provide innovative insights

About the Team OpenAI's Marketing team helps people understand complex technology, research, and product advances through creative work. Our launch work brings researchers, product teams, product marketers, communications partners, and creatives together to introduce new capabilities to the world. We produce visual identities, films, demos, web content, and social assets that make the work clear and compelling while staying faithful to what the technology can do. Sitting with the Marketing org, the Launch Team works in close partnership with Research and Product Marketing. We build a shared understanding of the technology and the launch story, then bring creative teams together to turn that work into clear, coordinated launches. About the Role We're looking for a Producer to lead creative delivery for Research-led launches, from the initial brief through production and release. You'll work closely with Research to understand the capabilities, limitations, and context behind each launch, then help creative teams turn that understanding into strong work. You'll own the production plan and day-to-day delivery across internal teams and external partners. That means shaping actionable briefs, securing the right inputs and resources, making reviews productive, and adapting as research and launch plans evolve. You'll bring calm judgment, technical curiosity, and respect for creative craft to fast-moving work where accuracy matters as much as timing. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. Occasional travel will be required. In this role, you will: Build close working relationships with Researchers and various technical product partners. Partner with Research, Product, Product Marketing, Communications, and Creative leads to turn launch priorities into clear briefs, deliverables, production scopes, and approval plans. Own work from creative development through

As a Research Manager within Datadog AI Research (DAIR), you will lead a team working on fundamental research in post-training and autonomous agents while remaining deeply engaged in the technical direction of the work. You will advance reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating across complex real-world systems. You will provide technical leadership to a team of researchers and research engineers, mentor and develop highly technical talent, shape research direction, and collaborate with Datadog’s product and engineering teams to translate research advances into products. This role is designed for an exceptional researcher or technical leader who wants to maintain a strong hands-on research identity while developing and leading a high-performing team. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead research in agent post-training and reinforcement learning, setting the technical direction for ambitious research programs grounded in observability and security Guide and mentor researchers and research engineers while remaining closely involved in research strategy, experimentation, model development, and technical problem-solving Design and advance reinforcement learning approaches, post-training methods, and training loops for agents operating in complex environments Build simulated environments, synthetic data generation approaches, and evaluation frameworks that enable scalable agent training and rigorous measurement Collaborate with cross-functional teams across Research, Product, and Engineering to translate advances in autonomous agents into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences su

MKTQ427R54 Location: San Francisco Bay Area Databricks is looking for a Customer Marketing Manager to turn the experiences of our largest strategic customers into compelling stories and advocacy programs that advance Databricks’ business priorities. This role owns customer marketing programs from strategy through execution, delivering trusted customer experiences and measurable impact across content, events, and advocacy. The impact you will have: Create stories tied to key priorities. Identify and develop customer stories that support Databricks priorities, translating technical use cases into compelling narratives with clear business outcomes. Increase the influence of customer stories demonstrated through usage across events, campaigns, and field programs Build with strategic customers. Build relationships with customers and account teams to uncover opportunities for case studies, videos, speaking engagements, and other advocacy activities with our most strategic customers in the Americas. Expand strategic customer advocacy in the Americas, resulting in a stronger and more consistent pipeline of approved case studies, videos, speaking engagements, and other advocacy assets. Deliver a great customer experience. Improve the customer participation experience, reflected in strong completion rates, positive feedback, and repeat engagement from participating customers. Own programs end-to-end. Deliver programs on schedule, within approved resources, and with clear stakeholder and customer approval milestones from strategy through launch. Bring customer stories to life at key events. Increase the reach and effectiveness of customer storytelling at key events through activations that drive attendee engagement and reinforce Databricks’ business priorities. Build and automate with AI. Improve the speed, quality, and scale of story development by deploying AI-powered tools and workflows that reduce manual effort and surface actionable customer insights. Build repeatab

As a Staff Research Scientist within Datadog AI Research (DAIR), you will drive research in post-training and autonomous agents as a hands-on individual contributor. You will advance reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating across complex real-world systems. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with Datadog's product and engineering teams to translate research advances into products. What You'll Do: Drive research in agent post-training and reinforcement learning, shaping the technical direction of ambitious research programs grounded in observability and security Own research problems end to end, from framing the question through experimentation, model development, and evaluation Design and advance reinforcement learning approaches, post-training methods, and training loops for agents operating in complex environments Build simulated environments, synthetic data generation approaches, and evaluation frameworks that enable scalable agent training and rigorous measurement Raise the technical bar across the team by reviewing research directions, mentoring researchers and research engineers, and setting standards for experimental rigor Collaborate with cross-functional teams across Research, Product, and Engineering to translate advances in autonomous agents into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks Who You Are: You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as reinforcement learning, AI agents, post-training, or generative modeling You have driven technically ambitious research at meaningful scale as

As a Staff Research Scientist within Datadog AI Research (DAIR), you will drive research in foundation models and world models as a hands-on individual contributor. You will advance large-scale pre-training and multimodal learning across the diverse signals generated by distributed systems, including metrics, traces, logs, topology, and events. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with Datadog's product and engineering teams to translate research advances into products. What You'll Do: Drive research in foundation models, world models, and multimodal learning, shaping the technical direction of ambitious research programs grounded in observability Own research problems end to end, from framing the question through experimentation, model development, and evaluation Train large-scale multimodal models on diverse telemetry data, including metrics, logs, traces, topology, events, and other non-text modalities Advance approaches to pre-training, representation learning, world modeling, scaling, and evaluation for models that learn the dynamics of complex distributed systems Raise the technical bar across the team by reviewing research directions, mentoring researchers and research engineers, and setting standards for experimental rigor Collaborate with cross-functional teams across Research, Product, and Engineering to translate research advances into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks Who You Are: You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as foundation models, world models, multimodal learning, or generative modeling You have driven technically ambitious research at meanin

About the Team OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business—from ChatGPT Enterprise to our developer platform and APIs. We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and developer-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. Account Associates sit at the front of this motion—where technical curiosity turns into executive engagement, and early product signals become enterprise-wide deployments. About the Role This role is designed as a launchpad for future enterprise sellers at OpenAI. This is a highly strategic role with significant exposure to enterprise sales, product, and customer strategy. You’ll develop core skills in discovery, stakeholder mapping, deal shaping, and executive communication while building a deep understanding of how leading companies adopt AI. We are looking for individuals with 2-6+ years of professional sales experience who are motivated to grow into world-class enterprise sellers over time. While many individuals in this role go on to become Account Directors or take on broader GTM roles, progression is based on performance and business needs rather than a fixed timeline. For the right person, this is one of the most accelerated paths to break into sales at OpenAI and build a long-term career in AI go-to-market. In this role, you will identify, shape, and advance complex enterprise opportunities by turning product usage, pilots, and inbound demand into qualified, high-conviction enterprise opportunities for our Large Enterprise and Strategic Accounts teams. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week (Monda

As a Research Manager within Datadog AI Research (DAIR), you will lead a team working on fundamental research in foundation models and world models while remaining deeply engaged in the technical direction of the work. You will advance large-scale pre-training and multimodal learning across the diverse signals generated by distributed systems, including metrics, traces, logs, topology, and events. You will provide technical leadership to a team of researchers and research engineers, mentor and develop highly technical talent, shape research direction, and collaborate with Datadog’s product and engineering teams to translate research advances into products. This role is designed for an exceptional researcher or technical leader who wants to maintain a strong hands-on research identity while developing and leading a high-performing team. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead research in foundation models, world models, and multimodal learning, setting the technical direction for ambitious research programs grounded in observability and security Guide and mentor researchers and research engineers while remaining closely involved in research strategy, experimentation, model development, and technical problem-solving Train large-scale multimodal models on diverse telemetry data, including metrics, logs, traces, topology, events, and other non-text modalities Advance approaches to pre-training, representation learning, world modeling, scaling, and evaluation for models that learn the dynamics of complex distributed systems Collaborate with cross-functional teams across Research, Product, and Engineering to translate research advances into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences su

Principal Consultant – AI Transformation & Adoption Location: New York, NY (Hybrid) | Practice Area : Technology & Engineering | Type: Permanent Help Financial Services organizations turn advances in AI into practical, responsible transformation at enterprise scale. The Role As a Principal Consultant – AI Transformation & Adoption , you will help leading Financial Services organizations translate advances in AI into meaningful changes in how their businesses operate and how their people work. Working directly with clients, you will lead AI transformation and adoption initiatives, helping organizations identify where AI can create value, redesign roles and workflows, build the capabilities required to sustain new ways of working, and measure the resulting business impact. You will work with senior business and technology leaders to move beyond experimentation and isolated AI use cases toward enterprise adoption. This includes applying technologies such as copilots and AI agents to real business and technology workflows, addressing the organizational and workforce changes they create, and establishing the governance and measurement required to deploy them responsibly at scale. The role combines AI transformation, workforce transformation, product innovation, and consulting leadership . It is suited to someone who understands how emerging AI technologies can change work and can help clients implement that change within complex, regulated environments. What You’ll Do Lead client engagements focused on enterprise AI transformation and adoption, workforce transformation, and AI-enabled ways of working, connecting business priorities and AI investments to measurable outcomes. Identify and prioritize high-value AI opportunities and redesign business and technology workflows to incorporate copilots, AI agents, workflow automation, and appropriate human oversight. Assess how AI changes roles, skills, responsibilities, and human-machine interactions, and des

About the Team The Search Product Infrastructure team builds the systems that power search experiences across ChatGPT. We partner with teams developing models, operating inference infrastructure, building specialized search experiences, and maintaining search indexes to bring advances in models and retrieval into production. Our work spans search orchestration, model serving, experimentation, and distributed systems, with direct impact on answer quality, responsiveness, reliability, and efficiency at ChatGPT scale. About the Role As a senior engineer on the Search Product Infrastructure team, you will design, build, and operate the systems that connect models with search at ChatGPT scale. You will tackle challenges in search orchestration, inference efficiency, experimentation, and production reliability, making tradeoffs that directly shape answer quality and user experience. Working closely with researchers and partner engineering teams, you will own projects from technical design through launch and iteration, evolving the architecture as models, product capabilities, and demand grow. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and evolve the services that coordinate search classification, retrieval, ranking, and model inference, working closely with researchers and partner engineering teams to bring new capabilities into production. Improve end-to-end latency, throughput, and infrastructure efficiency through profiling, caching, request routing, and capacity planning, making informed tradeoffs between search quality, reliability, and compute cost. Build experimentation tooling and automation to run reproducible A/B tests, define success metrics, and measure product impact. Use shadow traffic and load testing to validate system behavior, estimate capacity needs, and support safe production rollouts. Own production reliability th

PageWide Industrial Strategic Sourcing Lead Description - We are seeking a Strategic Sourcing & Contract Manufacturing Lead to define and advance the organization’s approach to managing contract manufacturers and critical suppliers. This role establishes supplier governance and commercial standards, leads complex sourcing and negotiation strategies, and provides senior oversight for supplier performance, operational readiness, risk, and continuous improvement. Serving as a functional leader and advisor, the position guides supplier relationship owners and cross-functional partners in making consistent, well-informed decisions that balance business requirements, supply continuity, and long-term supplier capability. The ideal candidate brings extensive strategic sourcing and contract manufacturing experience, strong commercial judgment, and the ability to influence senior stakeholders and improve organizational capability without relying on direct authority. Responsibilities Contract Manufacturing and Supplier Performance Define and lead the management model for contract manufacturers and critical suppliers, including governance, performance expectations, review cadence, escalation protocols, and continuous improvement priorities. Establish expectations for cost, quality, delivery, inventory, capacity, responsiveness, compliance, operational readiness, and business continuity. Guide supplier relationship owners in resolving complex commercial, operational, quality, and supply continuity issues. Lead supplier performance reviews and long-term improvement plans that deliver measurable business results. Partner with Operations, Engineering, Quality, Finance, and Program Management to align supplier capabilities and deliverables with business requirements. Provide senior recommendations on supplier select

The Research Engineer – Mechatronics is a hands-on engineering role within the TaylorMade Research & Development team, focused on the design, prototyping, integration, and validation of electromechanical systems that advance golf equipment and player performance. This role demands deep practical expertise in mechatronics, sensor systems, electronic hardware, wiring, and embedded controls, combined with the ability to develop supporting software and user-facing tools. The ideal candidate is a builder and problem-solver who thrives in a laboratory and prototype environment, producing functional systems from concept through deployment. Essential Functions and Key Responsibilities: Design, prototype, wire, assemble, and test mechatronic and electromechanical systems used in golf equipment evaluation, performance measurement, and product development Develop and interpret wiring diagrams, schematics, and electrical specifications for custom hardware assemblies, test rigs, and IoT-connected devices Select, integrate, and characterize sensors (IMUs, load cells, encoders, pressure sensors, optical sensors, etc.) – including defining operating limits, calibration procedures, and signal conditioning requirements Design and implement IoT systems and wireless data acquisition platforms that capture real-time performance data from equipment and players Develop embedded firmware and control software for microcontrollers and microprocessors (e.g., Arduino, Raspberry Pi, STM32 or similar) to drive test automation and data capture systems Write clean, maintainable code to interface with hardware, process sensor data, and build internal and user-facing applications and interfaces; leverage AI-assisted development tools to accelerate prototyping and automate test routines; apply basic computer vision techni

About the Team OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business, from ChatGPT Enterprise to our developer platform and APIs. We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and developer-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. Business Development sits at the front of this motion, where technical curiosity turns into executive engagement, and early product signals become enterprise-wide deployments. About the Role This role is designed as a launchpad for future sellers at OpenAI. This is a highly strategic role with significant exposure to enterprise sales, product, and customer strategy. You’ll develop core skills in discovery, stakeholder mapping, deal shaping, and executive communication while building a deep understanding of how leading companies adopt AI. We are looking for individuals with 4-6+ years of professional experience (2-3 of those in a full 360 closing role) who are motivated to grow into world-class enterprise sellers over time. While many individuals in this role go on to become Account Directors or take on broader GTM roles, progression is based on performance and business needs rather than a fixed timeline. For the right person, this is one of the most accelerated paths to break into sales at OpenAI and build a long-term career in AI go-to-market. In this role, you will identify, shape, and advance complex enterprise opportunities by turning product usage, pilots, and inbound demand into qualified, high-conviction enterprise opportunities for our Large Enterprise and Strategic Accounts teams. This role is based in our Dublin, Ireland office. We use a hybrid work mo