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OVERVIEW Starting wage is based on a number of factors including, but not limited to, the position being offered, location, education, training, and/or experience. Construction Resources offers additional competitive and non-financial benefits. The Stone Installer will contribute to the successful completion of both interior and exterior construction projects, ensuring a high standard of craftsmanship and client satisfaction. The Stone Installer will be responsible for the precise and aesthetically pleasing installation of various stone materials, including natural stone, tiles, and masonry products. JOB DESCRIPTION Key Performance Indicators: Metal Preparation Surface Preparation Installation Grouting and Sealing Repair and Restoration Quality Control Safety Compliance Collaboration Responsibilities: Measure, cut, and shape stones using hand or power tools to fit specific project requirements. Prepare surfaces for stone installation by cleaning, leveling, and ensuring proper substrate conditions. Apply adhesive between stones and seal surfaces as needed for enhanced durability and appearance. Install all types of stone materials, including natural stone, tiles, and masonry products, in both interior and exterior spaces. Ensure accurate alignment, spacing, and leveling of stones to achieve the desired aesthetic and structural outcome. Identify and repair damaged or chipped stones as needed during the installation process. Perform restoration work on existing stone installations to maintain their integrity and appearance. Conduct thorough inspections of completed stone installations to ensure adherence to project specifications and quality standards. Promptly address any defects or issues to meet client expectations. Adhere to saf

Infrastructure Engineer (SRE) Department: Engineering – Infrastructure About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. About the Role As an Infrastructure Engineer at Atomic, you’ll own the systems that power high-performance simulation, geometry processing, and factory automation. You’ll be responsible for building and maintaining the hybrid infrastructure that spans cloud, on-prem, and GPU compute environments. This role is ideal for engineers who thrive at the intersection of reliability, performance, and engineering velocity. What You’ll Do Manage and improve CI/CD pipelines (GitHub Actions, Terraform, HashiCorp stack) Orchestrate compute workloads across cloud and bare-metal GPU clusters Design systems for secure, fault-tolerant deployment and observability Build internal tooling to accelerate developer workflows and operations Partner with engineers on simulation, ML, and backend tea

Infrastructure Engineer (SRE) Department: Engineering – Infrastructure About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, most physical goods begin life in a mold or are shaped by a manufacturing tool. Producing these tools has always been slow, manual, and dependent on scarce expertise, taking weeks or months. We’re changing that. At our Detroit headquarters, we combine the industrial DNA of America’s manufacturing heartland with the speed, intelligence, and precision of Silicon Valley. Our AI-driven platform tackles the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days and soon, minutes. We don’t just build software; we run a fully operational factory where our technology produces production-grade tooling every week, enabling tight feedback loops and rapid iteration. Backed by top-tier investors, we’re restoring speed, flexibility, and capability to the American industrial base. Our mission is to make manufacturing as agile and scalable as the digital world, and in doing so, rebuild the infrastructure of the physical economy. About the Role As an Infrastructure Engineer at Atomic, you’ll own the systems that power high-performance simulation, geometry processing, and factory automation. You’ll be responsible for building and maintaining the hybrid infrastructure that spans cloud, on-prem, and GPU compute environments. This role is ideal for engineers who thrive at the intersection of reliability, performance, and engineering velocity. What You’ll Do Manage and improve CI/CD pipelines (GitHub Actions, Terraform, HashiCorp stack) Orchestrate compute workloads across cloud and bare-metal GPU clusters Design systems for secure, fault-tolerant deployment and observability Build internal tooling to accelerate developer workflows and operations Partner with engineers on simulation, ML, and backend tea

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role OpenAI is seeking a Principal Security Engineer to join our Infrastructure Security (InfraSec) team. InfraSec protects the foundations of OpenAI’s research and production environments, spanning GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter includes securing everything from bare-metal hardware and firmware, to Kubernetes clusters and service meshes, to data storage and access pathways for highly sensitive model weights and user data. As a principal engineer, you will set technical direction and drive execution on high-impact infrastructure security programs, partnering across various orgs at OpenAI to deliver durable controls that raise the security bar at OpenAI scale. In this role, you will: Own end-to-end security outcomes for one or more critical infrastructure areas, including multi-quarter strategy, roadmap, and delivery. Design and build security controls across diverse layers (e.g., physical hardware, firmware/BMC, OS, Kubernetes, networks, and CI/CD) to defend against sophisticated adversaries and insider threats. Lead cross-functional programs to deploy security enhancements and control changes across broad-scale infrastructure, balancing security guarantees with reliability and velocity. Take a generalist approach to building security controls, balancing a mix of security expertise and broad technical skillsets

DRW est une société de négoce diversifiée avec plus de 3 décennies d'expérience qui réunit une technologie sophistiquée et des personnes exceptionnelles pour opérer sur les marchés du monde entier. Nous valorisons l'autonomie et la capacité à pivoter rapidement pour saisir les opportunités, c'est pourquoi nous opérons en utilisant notre propre capital et en négociant à nos propres risques. Basée à Chicago et disposant de bureaux aux États-Unis, au Canada, en Europe et en Asie, nous négocions diverses catégories d'actifs, notamment les titres à revenu fixe, les FNB, les actions, les devises, les matières premières et l'énergie sur les principaux marchés mondiaux. Nous avons également tiré parti de notre expertise et de notre technologie pour nous développer dans trois stratégies non traditionnelles : l'immobilier, le capital-risque et les crypto-actifs. Nous opérons avec respect, curiosité et ouverture d'esprit. Les personnes qui s'épanouissent ici partagent notre conviction que ce n'est pas seulement ce que nous faisons qui compte - c'est la façon dont nous le faisons. DRW est un lieu d'attentes élevées, d'intégrité, d'innovation et de volonté de remettre en question le consensus. Nous recherchons un spécialiste CHP pour rejoindre notre équipe IA et stratégies systématiques multi-actifs. Cette équipe conçoit et exploite une infrastructure GPU qui alimente des charges de travail en IA et en apprentissage automatique. Vous travaillerez sur l’ensemble de la pile d’infrastructure, du matériel bare metal jusqu’au déploiement de modèles, en combinant ingénierie des systèmes, optimisation des performances et automatisation de l’infrastructure afin de résoudre des problèmes complexes à l’intersection du matériel, des réseaux et des systèmes distribués. Responsabilités : Déployer, maintenir et optimiser l’infrastructure GPU pour des charges de travail d’inférence LLM à grande échelle, incluant le provisionnement, la configuration et le déploiement de flottes de serveur

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role As the RF antenna engineer, you will be responsible for the end-to-end wireless design for our first-generation consumer wearable/device. You aren't just placing components; you are architecting a complex ecosystem of Cellular, Wi-Fi, BT, GNSS, NFC, and UWB radios within an extremely tight physical envelope. Your mission is to deliver optimal wireless functionality for the users. Responsibilities Architect the multi-radio systems, ensuring coexistence and optimal performance across a wide spectrum (sub-GHz to 8GHz+). Design and simulate custom, miniaturized antennas (LDS, FPC, or metal frame) that thrive in high-density environments. Partner with Industrial Design (ID) and Mechanical Engineering (ME) to find the "sweet spot" between aesthetic beauty and RF transparency. Develop RF strategies that prioritize ultra-low power consumption for battery-constrained performance. Own the product through EVT, DVT, and PVT phases, managing factory calibration, OTA testing, and global regulatory certifications (FCC/CE/PTCRB/GCF). Lead engagements with chipset vendors and antenna fabricators to push the limits of what is commercially possible. Requirements 10+ years in RF/Antenna design, with at least 2 full lifecycles leading a high-volum

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. Staff/Senior Staff Physical Design Floorplan & PDN Lead Experience: 10–14 Years Location: Bangalore/2 days to work Department: RTL-to-GDSII / Physical Implementation Role Overview We are seeking a high-caliber Staff or Senior Staff Physical Design Engineer with a specialized mastery of Floorplanning and Power Delivery Network (PDN) design. You won’t just be pushing buttons; you will be the architectural bridge between RTL/Systems and the final GDSII. This role requires a visionary who understands how a single floorplan decision ripples through the entire PPA (Power, Performance, Area) spectrum. As a technical lead, you will own the chip-top floorplan for complex, large-scale SoCs or Sub-chips, driving strategies that balance aggressive performance targets with robust power integrity. Key Responsibilities Architectural Floorplanning: Lead chip-level floorplanning, including macro placement, pin assignment, and partition definition for multi-million gate designs. Strategic PDN Design: Architect and implement complex Power Delivery Networks. You will define the metal stack usage and grid density to support high-performance cores while minimizing routing congestion. EMIR Mastery: Perform exhaustive IR-drop (Static/Dynamic) and Electromigration (EM) analysis. You must be able to diagnose root causes and propose ar

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Facebook, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. The people of Adyen are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Platform Engineer - Observability We are looking for an experienced Observability Infrastructure Engineer to join our Platform Engineering organization. You will be part of the team responsible for building and running Observability pillars on premise and on Kubernetes. Our systems collect, process, and store the logs, metrics, and traces that allow hundreds of product teams to monitor their services in real time. This is a role for a builder and a problem solver who enjoys deep technical troubleshooting across distributed systems and then turns recurring issues into automated, repeatable solutions. You will work in a large-scale environment where we manage petabytes of data and thousands of servers. We are currently in the middle of a major transformation: focusing on automation of operations and enabling self service for our users. What you will do Build the next generation of our platform: Design and implement the future architecture of our logging and metrics systems. You will play a key role in redesigning our infrastructure to support new global regions, ensuring data isolation and regulatory compliance in different geographies, and more. Own infrastructure operations: You will take full ownership of our hybrid infrastructure, managing the lifecycle of over 1,500 servers across both bare-metal

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. Job Title: Principal Physical Design Engineer (RTL-to-GDSII) Experience: 14+ Years Technology Focus: Sub-5nm (3nm/2nm) Location: Bangalore Hybrid The Vision We are seeking a Principal Physical Design Engineer who thrives on complexity and rejects the "black box" approach to EDA tools. This role is for a First Principles thinker who questions the status quo. If a standard flow isn't yielding the desired PPA (Power, Performance, Area), you dive into the PDK, the tool algorithms, and the methodology to find a better way. You are responsible for transforming raw RTL into world-class silicon by eliminating systemic bottlenecks and building a scalable, predictable path to GDSII. Key Responsibilities Full-Flow Ownership: Lead the implementation of massive, high-speed blocks/SoCs from Synthesis through Sign-off using the Cadence Digital Suite . PPA Optimization: Push the theoretical limits of the PDK and tools. You will analyze and optimize the interplay between library cells, metal stacks, and tool engines to squeeze out every millivolt and picosecond. Methodology & Scalability: Build and refine a "Push-Button" style execution methodology that is robust, repeatable, and minimizes manual "human-in-the-loop" iterations. Cross-Functional "Left-Shift": Collaborate with RTL, Architecture, and DFT te

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in Santa Clara, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler’s high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You’ll Do (Role Expectations) Maintain h

The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. About the Role The Software Engineer, Operating Systems & Orchestration will focus on building systems to manage hardware, configurations, vendors, and the people interacting with our infrastructure. You will design and develop solutions that integrate individual nodes and servers into unified clusters, directly contributing to advancing AI research by streamlining the overall research user experience. 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 build systems to manage both cloud and bare-metal fleets at scale. Develop tools that integrate low-level hardware metrics with high-level job scheduling and cluster management algorithms. Leverage LLMs to coordinate vendor operations and optimize infrastructure workflows. Automate infrastructure processes, reducing repetitive toil and improving system reliability. Collaborate with hardware, infrastructure, and research teams to ensure seamless integration across the stack. Continuously improve tools, automation, processes, and documentation to enhance operational efficiency. You might thrive in this role if you: Have strong software engineering skills with experience in large-scale infrastructure environments. Possess broad knowledge of cluster-level systems (e.g., Kubernetes, CI/CD pipelines, Terraform, cloud providers). Have deep expertise in server-level systems (e.g., systems, containerization, Chef,

Principal Embedded SW/FW Engineer (Bringup) - Bengaluru, multiple vacancies Job Summary We have an exciting opportunity to be part of a collaborative, cross-functional development team validating cutting-edge, high-performance AI chips and platforms. You will play a key role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to provide technical guidance to other engineering team members. In this role, you can leverage our experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. The Team The Post-Silicon Bringup team sits within the Architecture and Validation team, we are responsible for bringup and validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and supporting the Silicon Characterisation team. Responsibilities and Duties Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon Deploy silicon validation tests on first silicon and debugging them Develop automated test framework and regression test suites in Python to optimize validation efficiency Collaborate closely with engineers from many other disciplines on a variety of topics Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies Analyse test results, identify and debug failures/defects Contribute to shared test and validation infrastructure Provide feedback to architects Candidate Profile Essential:

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role OpenAI is seeking a Security Engineer to join our Infrastructure Security (InfraSec) team. InfraSec protects the foundations of OpenAI’s research and production environments, spanning GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter includes securing everything from bare-metal hardware and firmware, to Kubernetes clusters and service meshes, to data storage and access pathways for highly sensitive model weights and user data. In this role, you will: Design and build security controls across diverse layers (e.g., physical hardware, firmware/BMC, OS, Kubernetes, networks, and CI/CD) to defend against sophisticated adversaries and insider threats. Collaborate with engineering and security teams to drive deployment of security enhancements and control changes across broad-scale infrastructure. Tackle high-impact projects such as checkpoint encryption, network isolation, secret management, and machine identity, while continuously raising the security bar for emerging AI workloads. Take a generalist approach to building security controls, balancing a mix of security expertise and broad technical skillsets to adapt to evolving challenges. You will thrive in this role if you have: Deep understanding of security principles, best practices, and common vulnerabilities. A proactive mindset, with the ability to identify and address secu

The following description is not intended as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Management retains the discretion of adding or changing the duties of the position at any time. About the Role We’re looking for a Mechanical Engineer who brings a strong foundation in mechanical or manufacturing engineering and thrives in a customer-facing, product-driven role. This is a unique opportunity for someone who understands how things are made—but is equally comfortable engaging with clients, coordinating across departments, and driving products from idea to mass production. Key Responsibilities Own the end-to-end mechanical component lifecycle —from concept validation through to mass production—focused on enclosures and structural parts. Act as a technical liaison between internal teams (design, procurement, sales) and external stakeholders (customers, suppliers, factories). Collaborate with clients to define product requirements, ensuring feasibility across design, cost, and manufacturing capabilities. Support business development teams by offering technical insights during customer meetings, RFQ responses, and project scoping. Translate technical needs into action plans , guiding suppliers and contract manufacturers to align with quality, cost, and timeline expectations. Perform mechanical feasibility assessments including Design for Manufacturability (DFM) and Design for Assembly (DFA) reviews. Oversee supplier coordination , particularly for processes such as CNC machining, metal forming, die-casting, and surface finishing. Contribute to pricing strategies by analyzing material costs, process efficiencies, and competitive benchmarks. Lead or support new product introduction (NPI) activities, ramp-up phases, and factory readiness initiatives. Stay up to date on manufacturing trends , technologies, and customer needs across consumer electronics and related sectors. Qualifications Bachelor’s degree in Mechanical

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is on a quest to find a strong Technical Program Manager to lead the end-to-end software development of our next-generation Chiplet based SiP. The scope spans from architecture to tape-out, silicon debug and software productization - across AI, CPU, Memory and I/O Chiplet domains. If you bring strong expertise in silicon development and exceptional Program Management skills - you will thrive in this role. You’ll drive end-to-end software across pre-silicon and post silicon stages - building complex programs, defining program metrics, pushing boundaries and innovating in the AI Supercomputers space This role is Hybrid, based out of Santa Clara, CA, Austin, TX, or Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are 10+ years of experience in technical program management or chip-level engineering, with 2+ years in multi-chip/chiplet systems. Familiar with heterogeneous compute architectures (AI, CPU, memory, networking) and early software phases (architecture, pre-/post-silicon). Proven ability to manage 40+ engineer programs, external vendors (PCIe, D2D, Ethernet), and full software stacks from bare-metal to ML frameworks.