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. Key Responsibilities Lead the architecture, design, integration, and silicon validation of complex analog and mixed-signal circuits for advanced DRAM products, including amplifiers, comparators, references, LDOs, charge pumps, oscillators, DLLs, I/O circuits, and on-chip monitors. Drive development of custom analog and digital IP from concept through tape-out, silicon bring-up, and production. Define architectures and design methodologies to optimize power, performance, area (PPA), reliability, yield, and manufacturability. Lead verification, modeling, parasitic analysis, silicon correlation, and design signoff across PVT and reliability corners. Guide physical implementation, including floorplanning, matching, placement, routing, and reliability-aware layout practices. Collaborate with Product, Process, Test, Probe, Assembly, and Manufacturing teams to ensure successful product qualification and high-volume production. Drive design quality, standardization, and continuous improvement through advanced CAD, modeling, automation, and verification methodologies. Mentor and develop engineering talent while providing technical leadership across projects and product generations. Drive innovation through reusable IP development, patents, technology roadmaps, and differentiated circuit architectures. Leverage engineering tools powered by AI and agentic AI workflows to improve build efficiency, accelerate verification, optimize PPA, and reduce p
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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. Provide verification support to design projects by simulating, analyzing, and debugging pre-silicon IP designs. Develop Test cases/Stimulus to increase the functional coverage for all DRAM and emerging memory architectures and features. Develop and maintain test benches and test vectors using simulation tools and run regressions for coverage analysis and improvements. Co-work with international colleagues on developing new verification flows to take on the challenges in DRAM and emerging memory design. Participate in developing verification methodology and verification environments for advanced DRAM and emerging memory products. Good understanding of analog / mixed signal circuits. Experience in Analog and Mixed signal Verification , understand the usage of tools like Virtuoso, primesim/ Finseim, Hspice, Xcellium, Simvision, Waveview. Hands on experience in writing Verilog Models. Verilog A/MS, RVM model writing experience is encouraged. Hands on experience in building SPICE testbenches at Block, Fullchip Level. Hands-on experience in building the COSIM/ Mixed signal verification environment is encouraged. Hands on experience in SV, UVM based Verification Hands on experience in SV/PSL assertions. Good scripting skills us
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit’s Ads Data Science team is looking for a Senior Staff Data Scientist to lead the scientific strategy behind Reddit’s ads measurement and signal systems. This role sits at the center of how Reddit proves advertiser value, improves signal quality, builds privacy-aware measurement systems, and connects ads exposure to real advertiser outcomes. As a Senior Staff Data Scientist for Ads Measurement, you will be the principal architect of our technical vision and the driving force behind the next generation of our measurement ecosystem. In a landscape rapidly shifting due to privacy regulations, browser changes, and evolving platform dynamics, you will spearhead innovation across experimental design (incrementality/lift), identity, signals, and privacy-safe 1P/3P measurement. This is a high-visibility, high-impact role requiring a rare blend of deep experimentation & causal inference expertise, strategic foresight, and the ability to influence cross-functional executives and industry standards. You will not just adapt to the changing ad-tech environment, you will redefine how we measure value. Responsibilities Technical Vision & Strategy: Define the long-term data science vision & strategy across ads measurement, signal quality, identity, attribution, and privacy. Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products. Set the Cross-Pillar Measurement Science Strategy: Define the long-term data science strategy across a
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Lyft Rider Science team is seeking an Applied Scientist intern to develop next-generation user simulation methods using state of the art AI methods. The goal of this project is to develop and validate LLM-based Rider Agents that can serve as behavioral proxies for real riders, and study when agent simulations can provide reliable signal about rider responses to product interventions before online experimentation. You will build agent-based simulation systems grounded in real rider context and behavioral data, evaluate their fidelity against observed rider behavior and historical experiments, and study where these simulations can accelerate product iteration and experimentation. This role combines LLM engineering, agent-based modeling, machine learning, and causal inference with direct applications to real-world rider products. The expected outcome is to build a working Rider Agent simulation prototype, establish an evaluation framework for measuring simulation fidelity and validate the framework using historical rider experiments. Responsibilities: Develop LLM-based Rider Agents that represent heterogeneous rider contexts, preferences, histories, and behaviors Build agent-based simulation environments for evaluating rider interactions with different product experiences and interventions Build evaluation pipelines to assess realism, robustness, and mechanism plausibility of simulated behavior against human data or established theory Analyze emergent behaviors and interaction dynamics in simulated populations under different user segment and marketplace conditions Conduct experiments and ablation studies on agent behavior, interaction dynamics, and simulation validity Apply the simulation framework to real Rider product problems and assess its usefulness for hypothesis generation, product iteration
Zoox is building a full-stack autonomous mobility solution from the ground up. The System Behavior Analysis team is the front line for triage of driving events and software issues from our vehicle fleet and large-scale simulation, turning that data into engineering signal. As the Technical Program Manager for System Behavior Analysis, you will sit in our Platform SW Integration organization and treat triage as a systems and data problem. Triage sits in the middle of a larger loop, from the fleet and simulation through engineering fixes to validation and release. You will partner with software development, software integration, QA, safety, product, vehicle operations and the Program Management Office. In this role, you will: Drive triage accuracy and routing. Run the triage reviews that get defects, high-severity live-service issues and safety-critical events accurately classified and routed to the downstream teams that act on them. Measure and improve triage health. Track throughput, misclassification, latency, backlog aging, automation coverage and regulatory-reportable issues, and use them to flag risks early and give leadership decision-ready updates. Program-manage triage tooling and automation. Bring requirements to the dedicated tools and automation team, help sequence what gets automated, and track delivery, adoption and the capacity it frees. Manage intake and escalation. Maintain the intake paths, escalation criteria and shared boards partner teams rely on. Plan commitments and capacity. Turn milestones into quarterly triage commitments and forecast demand across onshore, offshore and vendor teams Qualifications Systems-Oriented Background: 3+ years in technical program management or engineering operations, with a systems mindset: you see a program and its hardware-software systems as connected parts, and trace
Perplexity is AI for people who expect more. More accuracy. More agency. More signal, less noise. Our answer engine handles hundreds of millions of queries every month for people whose questions spark change and whose decisions bend the world toward progress. Our legal team works side by side with product and business teams. We help the company move quickly, make sound risk decisions, and build legal requirements into products and operations from the start. About the Opportunity We are looking for a practical, versatile attorney to join our Product, Privacy and Regulatory Legal team. You will have a clear center of gravity in consumer protection and a flexible mandate across product counseling, privacy, regulatory matters, marketing, subscriptions, and international expansion. This is not a narrow subject matter role. You might advise on a new consumer product flow one day, assess an advertising or subscription practice the next, and help respond to a regulator or customer escalation after that. You will work directly with Product, Engineering, Growth, Marketing, Support, Security, GRC, Policy, and Communications. The right person can identify the legal issue quickly, learn the product deeply, and give the business a practical path forward. You will own matters independently and help turn recurring questions into clear guidance and durable systems. This role Reports to the Senior Director, Product, Privacy and Regulatory Legal. What You Will Do Serve as a primary legal partner for consumer products and features from early design through launch and post-launch review Advise on consumer protection issues, including unfair and deceptive practices, disclosures, pricing, subscriptions, renewals, refunds, promotions, advertising claims, dark patterns, and customer support practices Review marketing, growth, and advertising initiatives, including adtech and martech integrations, audience practices, email and messaging campaigns, and product claims Counsel product and engin
What you'll do Run human-subjects recording sessions end-to-end: participant prep and fitting, sensor configuration and calibration, stimulus delivery, real-time signal monitoring, and session documentation. Own daily system QC for a one-of-a-kind sensing instrument: baseline noise recordings, per-sensor health checks, log review, and escalation of anomalies before they touch a dataset. Own participant operations: recruitment coordination, scheduling, screening, consent, and compliant handling of participant records. Stand up and maintain the operational backbone of the program: SOPs for acquisition, QC, and participant workflows — documentation that survives you. Handle first-pass data operations: file conversion, organization, metadata, and quality review in Python. Partner daily with the program lead to refine acquisition protocols and improve system performance over time. What we're looking for Hands-on experience acquiring physiological or imaging data from human participants in a clinical or research setting Obsessive consistency and attention to detail: you notice when something is off and you don't let it slide. Professional, patient, and calm with research participants — sessions succeed or fail on how people feel in the room. Basic scripting ability (Python and/or shell) for QC and data-handling tasks, or clear aptitude and motivation to build it. High ownership of the unglamorous parts: scheduling, documentation, tidy data hygiene. Discretion — parts of this program are not yet public. We'll walk you through the specifics, including the exact technology you'd be operating, in the first conversation. Useful experience Controlled or low-noise recording environments and highly sensitive instrumentation. Physiological signal-processing tools in Python. Human-subjects research administration (IRB protocols, consent workflows). Research studies involving structured tasks or sensory protocols with human participants.
About Bolna Bolna is Voice AI infrastructure built for India - and now for the world. We help businesses deploy intelligent voice agents that can call, converse, and convert in any language, at scale. From collections to customer support to sales, our agents handle millions of conversations so humans don’t have to. We’re a YC F25 company, backed by General Catalyst, with 1,050+ paying customers and growing fast. Our team of ~25 is based in Bengaluru. The Role Every voice AI agent Bolna deploys makes real-time judgment calls - when to speak, when to go silent, when a customer is done talking, when to hand off. We’re building automated systems to grade these calls at scale, using LLMs as judges of call quality. But before you trust a model’s judgment, you verify it against a human’s. That’s this role. You’ll listen to real calls, annotate what actually happened, and check whether our automated systems - LLM-as-judge evals and quantitative signal detection - got it right. It’s precise, high-attention work, and it sits right at the center of how we know our voice agents are actually working. This is an internship role for someone early in their career who wants hands-on exposure to how a voice AI company builds trust in its own AI. What You’ll Do Annotation Listen to and annotate real customer calls - transcription review, issue tagging, labeling - using tools like Label Studio Follow (and help sharpen) annotation guidelines for a multilingual environment (Hindi, English, Hinglish, ) Verifying LLM-as-Judge Evaluations For calls flagged by our automated eval pipeline, verify whether the model’s call was actually correct - for example, confirming whether a detected barge-in (agent/customer talking over each other) genuinely happened by listening to the audio Mark agreements and disagreements clearly, with reasoning, so we can measure and improve model accuracy over time All tools needed for this will be provided Verifying Quantitative Measures Check system-flagged quantit
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 Verify IP, subsystem, full-chip, and system-level HBM and DRAM designs to ensure functional correctness, performance, power efficiency, and product quality. Develop comprehensive verification plans from architecture and functional specifications in collaboration with architecture and design teams. Create, enhance, and maintain verification environments, UVM testbenches, test suites, and automated regression infrastructures. Define and execute coverage-driven verification strategies to achieve functional, assertion, and code coverage goals. Lead debug and root-cause analysis of complex design issues, drive bug resolution, and ensure verification closure. Apply advanced digital and mixed-signal verification methodologies using industry-standard simulation and verification tools. Drive continuous improvements in verification methodologies, automation, regression efficiency, and AI-assisted verification workflows. Collaborate closely with global design, architecture, product engineering, and system engineering teams to ensure successful project execution. Lead verification efforts for major HBM development programs and mentor engineers through technical leadership and knowledge sharing. Minimum Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field, or equivalent experience. 10+ years of experience in digital and/or mixed-signal design verification with a proven record of deli
About the Team DoorDash Labs is DoorDash's autonomous delivery group, building the robots and hardware that move goods without a driver. The Hardware team designs the electronics at the core of these systems — digital and mixed-signal control boards, power and motor-control electronics, embedded firmware, and the test and integration benches that prove the whole system works. We're building out an experienced and diverse set of electrical engineers to increase our velocity, bandwidth, and operations. About the Role You'll bring PCB layout in-house — a core quality goal — owning floorplanning, stackups, and layout while coordinating closely with mechanical, thermal, and SI/PI engineering to land complete, manufacturable boards. You will report into the Director, Electrical Engineering on our Hardware team in our DoorDash Labs organization. Our offices are open, and depending on the role this position is hybrid or fully onsite — expect to be fully onsite when needed. You're excited about this opportunity because you will… Perform floorplan analysis and create stackups, layout, and footprints Work with mechanical engineering to ensure fit and form compatibility with mechanical systems Work with thermal engineering to ensure a thermally sound layout Work with SI/PI engineering to ensure the board design is complete and robust Drive toward consistently high-quality layout We're excited about you because… Strong PCB layout experience across digital and mixed-signal boards Familiar with stackup technologies, their limitations and considerations, and cost/lead-time impacts Controlled-impedance and high-speed routing know-how; PI/PDN fundamentals Proficient in a professional layout tool (Altium, Cadence, or similar) Comfortable coordinating with mechanical, thermal, and SI/PI engineering Compensation The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experie
As Engineering Manager for Threat Detection, you will lead a high-performing team that powers Datadog's detection program. Threat Detection is the organization responsible for keeping Datadog ahead of an evolving threat environment: closing coverage gaps faster, raising the bar on signal quality, and shipping detections that hold up under the scale and complexity of cloud-native infrastructure. Your team will combine direct detection expertise, platform engineering, and applied AI to ship detections at a pace and scale traditional rule-writing alone cannot match. Examples of what your team will work on include detection-authoring agents, the detection platform that powers every rule in production, coverage analysis, alert triage and response automation, and the evaluation infrastructure that holds these systems to a high bar of fidelity. Detection authorship is a shared responsibility across the organization, and your team will contribute both by building the systems that scale our authoring capacity and by writing detections directly when their domain expertise is the right tool. You will partner closely with our Security Incident & Response Team (SIRT), Cyber Threat Intelligence (CTI), AI Engineering teams, and Datadog's broader Security organization. This is a high-impact leadership role: you will grow a team of security and software engineers responsible for building and executing our detection and AI strategy. 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 the strategy, roadmap, and execution of Datadog Security's shift to AI-accelerated detection and response. Drive development of high-fidelity detections as a shared responsibility across the organization, ensuring your team's systems and direct contributions raise the bar on coverage 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. 職務說明 As a HBM Equipment Engineer, you will be responsible for evaluating and improving manufacturing processes, coordinate equipment/material procurement and qualify and implement new process. Requirements: · Ability to handle the thinning or dicing tool -steal dicing, laser groove, NCF lamination · Understand the tool installation, setup and buyoff · Work experience: 2 years · Understand the tool signal is prefer, such as SVID, CEID, ECID...etc · Understand to handle the FDC analysis and improve is prefer · English: ability to communicate for discussion with supplier and global team · Leverage AI-enabled tools, automation, and data analytics to enhance productivity, decision-making, and operational excellence Responsibilities and Tasks: Evaluate and Improve Assigned Assembly Manufacturing Processes, Materials, and/or Equipment · Maintain General process knowledge · Maintain Equipment knowledge as it relates to the process · Maintain Materials knowledge as it relates to the process · Optimize process, equipment variables · Identify all process variables · Understand DOE/FMEA/OCAP/8D/SPC/Repair/PM (preventive) techniques · Perform containment of process and equipment deviations · Determine root cause · Implement corrective action · Design equipment components (Improve equipment capability by exploring new ideas/concepts and implement on equipment) · Maintain knowledge of equipment and materials and how t
ASIC Subsystem Engineer (Mid-level or Lead) Company: The Boeing Company The Boeing Space & Missions Systems Division is seeking a Mid-level or Lead ASIC Subsystem Engineer to join the Space and Launch Engineering team in El Segundo, California. In this role, you will support the design and development of advanced ASICs and mixed-signal components for space-based digital communication systems supporting commercial, civil, and national security programs. You will work with a highly motivated, multidisciplinary team and collaborate with domestic and international customers, suppliers, program management, integration and test engineers, and senior technologists. Assignments may span the full unit life cycle, including architecture development, internal trade studies, concept studies, system definition, design development, verification, integration, qualification, and unit sell-off. This position is primarily focused on subsystem-level architecture, requirements, verification, integration, and technical coordination for ASICs, digital signal-processing functions, and mixed-signal ADC/DAC converters. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at the El Segundo, CA, location. This worksite participates in Boeing’s optional 9/80 schedule rotation. 9/80 is a rotation in which employees can work 9 hour shifts, 8 days per pay period (bi-weekly) and receive every other Friday off. Position Responsibilities: Define, develop and validate next-generation multi-ASIC architectures incorporating digital signal-processing cores for digital communication subsystems. Architect, derive, allocate, and verify requirements for ASIC functions, interfaces, and su
About the Role This is not a traditional sourcing role. We're looking for someone who was an engineer first and wants to put that technical depth to work finding and winning the best engineers in the market. You will own proactive outbound sourcing only the top 1% technical talent in the Bay Area and our other hubs identifying them, reaching them, and judging their work on its merits before anyone else does. You'll build and run outreach campaigns, keep pipelines full for specific engineering roles, and bring a steady, systematic hustle to it. What sets this role apart is that you can evaluate technical talent. You can read a GitHub profile and see the signal in it. You can run a genuinely technical first call, get into the nuts and bolts of what someone built and their level of ownership, and tell the difference between top-tier and the rest after a single conversation. You'll report directly to the hiring manager on a tight-knit team of six, with visibility and room to grow into ownership of how we source and evaluate engineering talent. We'll teach you the recruiting craft - the technical judgment is what you bring. Responsibilities Build and maintain pipelines of top-1% engineering talent for specific open roles Design and run proactive outreach campaigns to elite engineers - persistent, high-volume, and well-written Review GitHub profiles and other technical signals to identify genuinely strong candidates Run technical first calls that go deep on what a candidate actually built Screen for real quality, filtering aggressively so that only the best talent reaches the hiring team Partner closely with the hiring manager and recruiter to calibrate on what "great" looks like for each role Help shape Together AI's approach to technical sourcing as the function grows Requirements A hands-on engineering background - you've worked as an engineer of some kind. A CS degree is a strong plus. The ability to read a GitHub profile and glean real signal about someon
The Datadog Security design team (K9 Design, as we lovingly call it) is hiring a senior product design manager to lead design across our security products. This is a chance to shape an industry-leading experience for a new kind of Datadog user: security practitioners who need to catch threats where they start, stop them when they land, and shut down exposures before they turn into something worse. You'll lead a team of designers at various stages of their careers across cloud, code and data security, turning an overwhelming amount of signal into something a security team can act on. The goal: build the security product people want to spend their day in. You'll own the design, push for excellence, and partner closely with Product and Engineering leadership to get there. 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 design direction across your team's products, and hold the bar for design excellence end to end: interactions, visual detail, consistency and cohesion. You're in the work. Run critiques, give direct and useful feedback, and push the team toward bolder, more opinionated solutions rather than safe ones. Coach and grow designers across our Paris, Madrid and New York offices, helping each of them do the best work of their careers. Help define a security design system built on top of Datadog's existing components, with the security practitioner's workflows in mind. Partner with Product and Engineering leaders to evolve cross-platform thinking, shape roadmaps, and to set how the three disciplines work together day to day. Take accountability for the product and business outcomes your team's design work influences. Bring AI fluency to how your team works, from how design gets explored and validated to how it gets shipped. Who you are 10+ years i
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