Methodology Jobs

About the Team: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. In this role you will: As a Hardware Test Engineer, you will work on Machine Learning/AI hardware system projects to craft the solutions for current and future data center deployments. You will bring a strong understanding of hardware system testing, excellent project management skills, and the ability to collaborate across multiple teams to ensure efficient lab operations. You will be responsible for designing, implementing, and executing comprehensive test plans that ensure the reliability, performance, and scalability of our supercomputing hardware systems. You will develop detailed test plans and methodologies tailored to hardware components, including processors, memory modules, custom accelerators and interconnects. You will collaborate with hardware design, manufacturing, firmware teams and vendors to identify, analyze, and resolve issues affecting hardware, power, thermal and high-speed interconnects. You will perform in-depth debugging on the hardware system Excellent analytical skills to diagnose hardware issues, troubleshoot problems, and propose solutions. Ability to interpret complex test data, identify trends, and draw meaningful conclusions. High-speed links, with a focus on SerDes (Serializer/Deserializer) technology to assess signal integrity, error rates, and overall link performance. You will collaborate with the lab manager to maintain the equipment and hardware systems, including oscilloscopes, thermal test chambers, liquid cooling systems, and other mea

Junior Consultant – Vulnerability Assessment, Penetration Testing & Red Teaming Location: Clearwater Pune, WFO Experience: 1–3 years Employment Type: Full-time Department: Cybersecurity / Information Security Reporting To: Senior Consultant / Team Lead About the Role Clearwater is looking for a Junior Consultant – Vulnerability Assessment, Penetration Testing (VAPT) & Red Teaming to join our consulting services team. The role will support the delivery of vulnerability assessments, penetration testing, application and infrastructure security assessments, and red team engagements for clients across different technology environments. The ideal candidate should have a strong foundation in cybersecurity, networking, operating systems and common security testing methodologies, along with a willingness to continuously learn and develop offensive security skills. Key Responsibilities Vulnerability Assessment & Penetration Testing Assist in conducting vulnerability assessments and penetration tests across: Web applications and APIs Mobile applications Network and infrastructure environments Cloud environments Internal and external networks Wireless environments, where applicable Perform reconnaissance, enumeration, vulnerability identification and validation. Identify and safely validate security weaknesses using manual and automated techniques. Assist with exploitation and post-exploitation activities under approved engagement scopes. Conduct security testing in accordance with established methodologies such as OWASP, PTES and NIST, as applicable. Analyse scan results and distinguish genuine vulnerabilities from false positives. Red Teaming Support red team and adversary simulation engagements under the guidance of senior team members. Assist with reconnaissance, attack-path identification, initial access, privilege escalation, lateral movement and other approved activities. Develop an understanding of adversary tactics, techni

Spotify is looking for a short-term contractor for the Artist & Label Partnerships team in Vietnam. The Artist & Label Partnerships team are the face of Spotify to artists, managers, labels & distributors. Focusing on the Vietnamese music landscape, this role will serve as the point of contact for record labels, distributors and artists, ensuring that artists & their teams are familiar with Spotify standard methodologies, resources and tools. The role will closely support the cross-functional teams with on-platform promotion and off-platform artist marketing. Please note this is a fixed-term, 6 months, contractor role hired through a third party. What You'll Do Maintain positive partnerships across artist and label communities within Vietnam. Support our key partners in Vietnam on Spotify tools, resources and insights. Work closely with our cross functional teams to support artists and labels on priority releases in Vietnam Collaborate with the regional Music team to ensure content strategies are localized and successfully executed. Ensure Spotify has the best possible content offering in Vietnam and use this to further Spotify’s appeal to existing and new users. Who You Are You have at least 3+ years of working experience in the music/entertainment industry. Regional and global experience would be an added advantage. Extremely well organized, dedicated with the ability to plan, deliver on tight deadlines and pay outstanding attention to detail. You have a deep understanding and established network within the local music industry in Vietnam and have built relevant contacts with labels and artists to effectively collaborate with the community. You have a strong background in music and technology and a consistent record with operations. You have a strong grasp of content knowledge, music and cultural trends, artists, user engagement and behaviors. You have ex

We are seeking a highly skilled and visionary Staff Signal and Power Integrity (SI/PI) Engineer to join our advanced hardware engineering team. In this role, you will be the definitive technical expert responsible for ensuring the signal quality, timing, and power delivery robustness of our most complex, next-generation robotaxi electronic systems. As a technical pillar within the organization, you will define overarching SI/PI architectures, establish company-wide simulation methodologies, guide electrical design and layout teams, and own the end-to-end sign-off for cutting-edge high-speed interfaces. In This Role, You Will Lead the SI/PI architecture and define constraints for next-generation, high-complexity, high-density printed circuit boards (PCBs) and overall system design. Collaborate at an architectural level with hardware design, silicon vendors, PCB layout, and mechanical engineering teams to define layer stack-ups, routing strategies, component placement, and power delivery architectures. Analyze, optimize, and sign off on advanced high-speed serial links (PCIe, Ethernet, MIPI, GMSL) and memory interfaces (LPDDR). Provide expert-level design guidance and validation for automotive-specific communication and audio protocols (A2B). Architect and conduct comprehensive Power Delivery Network (PDN) analysis, including DC IR drop, AC impedance modeling, and transient response analysis to ensure stable power delivery across complex multi-board systems. Drive the development of advanced SI/PI routing rules, simulation methodologies, automation scripts, and sign-off processes for the hardware engineering department. Tackle the most complex, unprecedented signal and power integrity challenges, performing hands-on root-cause analysis, lab measurements, and correlating simulation models with real-world testing. Act as a technical mentor and subject matter expert, elevating the SI/PI capabiliti

Enterprise Application Support A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. WHAT YOU’LL DO Lead a global enterprise application engineering team that delivers workflow, reporting, and integration solutions for teams across the firm Shape the delivery portfolio by translating stakeholder priorities into enhancements, platform improvements, production support, and release plans Partner with business functions, including Investor Relations, charitable foundations, external data sourcing, and recruiting, to design scalable workflow and reporting solutions Guide hands-on technical delivery for a distributed team, providing leadership during New York afternoon hours when global overlap is limited Manage delivery across full-time employees and consultants globally, balancing capacity, quality, and business priorities Coach engineering talent and work closely with the Warsaw-based technical lead to strengthen delivery discipline and technical quality Collaborate with technical peers across enterprise applications to design and de

Job Title Commercial Policy & Pricing Manager Job Description Job Responsibilities: • Reviews pricing strategy implementation across various Region/Zones, ensuring alignment with corporate objectives and market dynamics, and takes proactive measures to adjust strategies as needed. • Works under limited supervision and broad guidelines, collecting and monitoring competitive price points, conducting thorough analysis to benchmark against industry standards and identify competitive positioning opportunities and risks. • Drives the adoption of Value Based Pricing skills throughout the organization, championing methodologies that enhance customer value perception while optimizing profitability margins. • Fosters strong collaborative relationships with key stakeholders in marketing as well as country sales and account managers to align pricing strategies with overall business goals. • Guides in high-stakes customer negotiations by providing pricing expertise and strategic input, ensuring favorable outcomes that align with company objectives and customer needs. • Coordinates comprehensive portfolio and price strategy communication across diverse Region/Zones, ensuring strategic coherence and effective implementation of pricing initiatives to maximize revenue and profitability. • Consolidates and synthesizes price chart updates within the organization, ensuring accuracy and consistency in data management and communication to facilitate informed decision-making at all levels. • Orchestrates strategic price-setting reviews with Region/Zones, leading discussions and initiatives to align pricing strategies with business conditions and customer expectations. • Analyzes pricing and profitability Key Performance Indicators (KPIs) with a focus on continuous improvement, serving as a trusted consultant to business stakeholders by providing actionable insights and recommendatio

NVIDIA is seeking a System Test Engineer to join our Test Solutions Group, where you will develop and deploy manufacturing test solutions for next-generation datacenter systems. You will combine hardware and software expertise to expand test coverage, automate diagnostics, and solve complex production challenges at scale. NVIDIA has been reinventing computing for more than two decades. From pioneering the GPU and transforming computer graphics and gaming to powering the AI revolution, we continue to tackle problems that matter. Join a team dedicated to amplifying human creativity and intelligence. What you’ll be doing Define, develop, and implement manufacturing test solutions for datacenter system products. Investigate and introduce new test technologies and methodologies to improve quality, coverage, throughput, and production efficiency. Develop test strategies for new product features, including test identification, specification, fixture and equipment design, diagnostic software development, and qualification. Provide Design-for-Test (DFT) feedback early in the product design cycle. Debug complex hardware, firmware, and software issues throughout prototype and production build phases. Build and improve automated diagnostic-generation and validation infrastructure. Collaborate across engineering, operations, and manufacturing teams to deliver robust, scalable test solutions. Coordinate technical work across team members and drive execution on shared deliverables. What we need to see Bachelor’s degree in Electrical Engineering or equivalent practical experience. 3&#43; years of post-silicon validation experience with board-level or system-level products. Experience developing or supporting platform-level manufacturing test programs. </l

JOB TITLE Cloud Engineer A Career with point72’s technology team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What You'll Do Design, implement, and maintain scalable cloud infrastructure using Infrastructure as Code (IaC) with Terraform. Manage and optimize foundational platform for AWS/GCP/Azure services including IAM, Virtual Private Cloud networking, Cloud Security controls and policies, Cloud platform tools and automation to ensure scale, performance and security. Collaborate with development and operations teams to automate deployment and operational processes. Monitor cloud environments to maintain high availability and security standards. Participate in architectural discussions and contribute to the technical roadmap for cloud solutions. Implement best practices for cloud resource optimization and cost management. What's Required Bachelor’s degree in Computer Science, Engineering, or a related field. 5 to 10 years of experience in cloud infrastructure design and automation with optional experience in cloud networking. Proficiency in Infrastructur

About the Team OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make better, evidence-based talent decisions. About the Role As a People Research Scientist, you will bring deep expertise in research design, measurement, experimentation, and applied data science to OpenAI’s most important People programs. You will design studies, evaluate people processes, and help leaders better empower employees, strengthen organizational systems, and deliver exceptional employee experiences. This is a high-ownership individual contributor role combining hands-on research, methodological leadership, and scalable people science capabilities. We’re looking for an experienced researcher who can turn ambiguous People questions into rigorous designs, validated insights, and actionable recommendations. This role is based in San Francisco, CA or Mountain View, CA, with occasional travel to our San Francisco office. What You’ll Do: Design rigorous research and evaluation strategies for recruiting, organizational health, manager effectiveness, employee experience, and talent outcomes. Apply advanced statistical modeling, machine learning, and research methods to inform program design, evaluate effectiveness, and quantify business impact. Partner with People Operations, data engineering, and people systems teams to define data requirements, improve data quality, establish documentation standards, and ensure research datasets are governed, reproducible, and privacy-preserving. Build scalable people science infrastructure, including self-service agentic tools, automated validation workflows, reusable research datasets and analytical pipelines. Develop research playbooks that establish rigorous standards for study design, measurement, validation, and documentation, enabling high-quality, repeatable, and scalable research across the organization. Communicate findings through c

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. Position Overview This role focuses on using process and defect simulation methodologies to systematically identify defect root causes (true RC) and enable process window optimization . As part of the RDA / Yield Engineering organization, you will work on high-impact projects that connect process physics, simulation results, and manufacturing data to improve process capability and final product yield. This is an exciting opportunity for engineers passionate about linking simulation with real fab problems and turning modeling insights into measurable manufacturing improvements. Responsibilities Develop and apply process / defect simulation models to understand defect generation mechanisms across key wafer fabrication steps. Correlate simulation results with inline defect, EBI, process data, and yield indicators to identify true root causes of defects. Drive data-backed process optimization strategies to expand process windows and improve yield and reliability. Perform what-if simulations to evaluate the impact of process parameter changes, material variations, or equipment conditions. Partner with process, integration, and equipment engineers to translate simulation insights into fab-implementable actions . Lead or support defect reduction, yie

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. Senior Process Analysis Engineer As a Senior Process Analysis Engineer in Micron’s Automation Development group at Taiwan Taichung, you will play a critical role within the Process and Process Integration team to enhance inline defense line effectiveness, improve process control capability, and prevent yield-related excursions through data-driven and AI-enabled solutions. You will take ownership of issue investigation, root cause analysis, Design of Experiments (DOE), and Continuous Improvement Programs (CIP) for critical materials and manufacturing processes. In addition, you will collaborate with cross-functional teams to integrate advanced process control methodologies, AI-assisted analytics, and digital solutions into process flows supporting next-generation high-density memory products. Job Responsibilities Leverage AI-assisted and AI-enabled technologies to improve manufacturing intelligence and decision-making, including applications in Statistical Process Control (SPC), Fault Detection and Classification (FDC), Automated Defect Classification (ADC), Internet of Things (IoT), and Data Analytics (DA). Apply AI-supported analytical approaches to identify process variations, improve inline defense line effectiveness, and accelerate root cause investigation and yield learning. Collaborate with internal and external partners, including Process Engineering, Failure Analysis, Quality, and Manufacturing teams, to correlate Defense Line (DL) signa

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will build the low-level device runtime that turns compiled programs into efficient, functional and performant execution on OpenAI’s custom AI accelerator. This software will schedule kernel launches, manage device memory and address spaces, coordinate synchronization, and expose reliable abstractions to higher-level runtimes and frameworks. You will work at the boundary of software and hardware, partnering with compiler, kernel, architecture, verification, and silicon teams to define interfaces and validate behavior. You will also use and improve event-based, cycle-accurate simulation to develop runtime capabilities before silicon is available, diagnose performance and correctness issues, and guide hardware-software co-design. In this role, you will: Design and implement the low-level device runtime for OpenAI custom silicon. Build kernel-launch scheduling, command submission, queueing, dependency tracking, and completion handling. Manage device memory spaces, allocation, virtual-to-physical mappings, data movement, and lifetime across concurrent workloads. Implement synchronization primitives, events, barriers, streams, and ordering guarantees that are correct and efficient. Define clean interfaces between the runtime, drivers, firmware, compiler-generated code, kernels, and higher-level execution systems. Use event-based, cycle-accurate simulators to develop, validate, debug, and performance-tune runtime behavior before and after silicon availability. Di

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will work on the systems software strategy and execution that brings new AI silicon from first power-on to a fully integrated system running production-representative models at expected functionality and performance. You will define how software exercises and validates compute, memory, interconnect, and I/O subsystems, then build the diagnostics, automation, and observability needed to find issues quickly. This role sits at the center of silicon, firmware, platform, systems, and workload teams. You will turn hardware specifications and performance targets into an end-to-end bringup plan, drive cross-functional debug, and establish the stress and regression infrastructure that makes each new platform reliable across operating environments. In this role, you will: Contribute to the end-to-end software bringup and validation strategy for new silicon and first-party systems. Define software-driven test coverage across compute, memory, interconnect, I/O, and their system-level interactions. Build diagnostics, test automation, telemetry, and regression infrastructure that accelerate first-silicon learning and issue isolation. Lead bringup from initial silicon arrival through board and system integration, docking, runtime enablement, and model execution. Design stress tests that characterize reliability, performance, and stability across workloads and operating conditions. Translate architecture specifications and performance models into measurable acceptance crit

SPECIFIC JOB RESPONSIBILITIES Deliver offensive security services in the following areas including network, cloud, mobile application, web application, and artificial intelligence (AI) and wireless penetration testing and related technical security assessments. Collaborate with clients, project management, and engagement leaders to identify, develop, and obtain information for developing approach proposals. Assist in the development of best practices, strategies, methodologies, and documentation/templates for use by the penetration testing team. Achieve high levels of client satisfaction on all engagements by meeting or exceeding client expectations set by engagement leaders and project managers. Provide thought leadership through the delivery of webinars, participation in industry groups and authoring technical blog articles and case studies. Work in collaboration with penetration testing leadership to continue to update and mature capabilities. Mentor and develop junior penetration testers, advancing their consulting skills, tradecraft, and technical knowledge. Billable hours target: 1664 hours annually (equivalent to 80 % utilization) Requirements EXPERIENCE REQUIRED 5-10 years’ experience delivering offensive security services in at least two of the following areas, including network, cloud, mobile application, web application, and/or artificial intelligence (AI) penetration testing and related technical security assessments. QUALIFICATIONS, SKILLS, & KNOWLEDGE Certifications preferred: OSCP, OSEP, CRTO, GWAPT, CRTL Knowledge of proprietary and open-source technical security testing tool suites (e.g., Nessus, Burp Suite, Wireshark, Kali Linux, etc.). Demonstratable analytic and problem-solving skills, especially with technical security analysis and client reporting. Ability to work without supervision on a variety of projects simultaneously and exercising good

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will build the model runtime within the inference engine that executes complex, frontier models at scale on OpenAI’s custom silicon. The runtime will sit between models running on the hardware and the upper layers of the cluster serving software stack, translating demanding inference workloads into efficient execution while optimizing for throughput, latency, utilization, and reliability. You will work across model architecture, distributed systems, compilers, kernels, and silicon to design a production-grade runtime comparable in ambition to systems such as vLLM and SGLang, but customized and optimized for OpenAI’s AI accelerator. Your work will shape how new model capabilities map onto the platform and how quickly custom silicon can deliver meaningful performance in production. In this role, you will: Design and implement the LLM inference runtime for frontier models running on custom silicon. Build scheduling, continuous batching, memory management, KV-cache management, and execution orchestration for high-performance inference. Develop distributed execution strategies across chips, hosts, and racks, including model partitioning, communication, and synchronization. Optimize end-to-end latency, throughput, memory efficiency, and hardware utilization across diverse model architectures and serving workloads. Partner with kernel, compiler, architecture, and silicon teams to co-design interfaces and remove performance bottlenecks across the stack. Enable new