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About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. This internship is well suited to candidates interested in improving existing methods and developing new techniques for large-scale model training, optimization, and inference, extending models to long-context and long-horizon tasks, and improving inference-time efficiency, reliability, and robustness in high-stakes real-world deployments. Preferred Qualifications: Currently pursuing a PhD in computer science, machine learning, or a related field. A demonstrated record of research in reinforcement learning, machine learning, foundation models, or related areas. Experience developing and evaluating large-scale models or machine learning systems. Familiari

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're looking for a Growth Engineer to own the technical foundation of Modal's marketing and developer-facing web surfaces: the marketing site, docs site, growth landing pages, high-profile microsites, forms, analytics instrumentation, and the integrations that help users discover, understand, and get started with Modal. This is a frontend-heavy role for someone with strong product taste, web engineering craft, and a business-owner mindset. You'll partner with Product Engineering, Design, Data, and Growth to ship polished, measurable web experiences from high-profile projects like the GPU Glossary and LLM Engine Advisor to internal tooling that helps teams publish content faster. When this role is going well, Modal launches new pages, docs experiences, campaigns, and experiments quickly without sacrificing performance, craft, or measurement. In this role you will:

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: Most of the value of owning a model shows up at serving time. We're building a platform that covers the whole life of an LLM -- train it, deploy it, observe it -- and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell. You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run. What you'll do: Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spik

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: Modal is the cloud platform built for AI. We're used by the world's leading AI labs, startups, and researchers to run compute-intensive workloads: training runs, inference, sandboxed code execution, and more. We're hiring a Community Manager in SF to make Modal a fixture in the AI developer community. You'll bring developers together through meetups, hackathons, and events of our own, and build the kind of community that keeps showing up. You know how to rinse and repeat the process, but always with a creative bend. In this role, you will: Co-host developer meetups with partners in our ecosystem. Find the right speakers, build the relationships, and run the events together. Prior examples: High Performance Inference for Open LLMs , Voice AI Builders Night , RL with Modal and Prime Intellect , FDE Happy Hour . Sponsor hackathons that attract highly technical enginee

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform. This is an engineering role focused on automation. You'll build detections, investigation tooling, and response capabilities that scale with our infrastructure, using AI where it meaningfully improves signal, investigation speed, and operational effectiveness. You'll work closely with infrastructure, platform, and security engineers to ensure every incident makes the platform more resilient. What You'll Work On: Detection Engineering Design and build high-fidelity detections for attacks, abuse, and anomalous behavior across our infrastructure and production systems Continuously improve detections based on telemetry, threat intelligence, and lessons learned from incidents Improve visibility across cloud infrastruc

AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. About the Role We're seeking a Revenue Operations Manager with a strong track record, a builder's mindset, and a bias for action to join our in-person team in New York or SF. This is a high-impact, hands-on role. You'll own the entire revenue operations function, from top-of-funnel lead routing through deal close and commission administration. You'll work closely with our Head of Finance & People Ops and sales leadership to build the systems, dashboards, and processes that scale our go-to-market motion. What You'll Do: Own the lead routing process from inbound and partnering with marketing to ensure proper attribution Run effective territory management & strategy for Geo based decisioning Support & strategise every aspect of revenue operations in your territory Own the strategy for capacity forecasting, inputs, throughputs & outputs being the conduit back to finance in

Should have knowledge of HK Chemicals Dusters Codes Cleaning process. Address: 6th 7th 8th Floor Tower C&D A-44/45 GALAXY BUSINESS PARK Block A Industrial Area Sector 62 Noida Uttar Pradesh Facility: FISERV INDIA - FM NOIDA Qualification: 8th Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP569132

Should have knowledge of HK Chemicals Dusters Codes Cleaning process. Address: 6th 7th 8th Floor Tower C&D A-44/45 GALAXY BUSINESS PARK Block A Industrial Area Sector 62 Noida Uttar Pradesh Facility: FISERV INDIA - FM NOIDA Qualification: 8th Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP569131

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for an Executive Assistant to support Figma's Chief People Officer and VP, Talent to strategically manage the day-to-day administrative and operational needs of the People organization, while also contributing significantly to projects and initiatives that help drive the company's priorities. You'll be responsible for keeping the leaders and teams organized, aligned, and helping them maintain focus while scaling for growth and delivering an exceptional internal and external experience. This role will strategically manage day-to-day administrative and operational needs, infuse Figma's culture and values in the work to create a meaningful Figmate experience, and cross-functionally collaborate with the broader People Org and stakeholders across Figma. We are looking for an experienced Executive Assistant who has supported at a VP or C-Suite level before. Experience with People or Talent Teams is a bonus. This is a full-time role based out of our SF Hub. What you'll do at Figma: Support your Executives with calendar, travel, meetings, agendas, preparation, tasks, notes, emails Serve as a strategic thought and execution partner to your Executives and their leadership teams, with a focus on team cohesion, operations, and planning Identify areas to optimize the Executives' time and make recommendations regarding time management, prioritization, and business needs Partner cross-functionally with the People Team and other internal teams to ensure alignment on projects, company milestones, a

Chez Lyft, notre mission est de servir et de connecter. Nous nous efforçons d'y parvenir en cultivant un environnement de travail inclusif où chaque membre de l'équipe a sa place et peut s'épanouir. Lyft Urban Solutions gère les systèmes de vélos et de trottinettes en libre-service qui transportent des millions de personnes dans plus de 60 villes à travers le monde. Nous avons créé le premier système de vélos en libre-service automatisé d'Amérique du Nord et restons à la pointe de la révolution de la micromobilité. Nos systèmes sont présents partout dans le monde : de Citi Bike à New York à BIXI à Montréal, en passant par Divvy à Chicago, Capital Bikeshare à Washington D.C., et des systèmes emblématiques à Austin, Barcelone, Bogota, Boston, Buenos Aires, Columbus, Detroit, Dubaï, Londres, Madrid, Mexico, Monaco, Pittsburgh, Portland, Rio de Janeiro, San Francisco, Toronto et bien d'autres villes. Nous ne sommes pas de simples fournisseurs de technologies : nous exploitons ces systèmes, en développant les logiciels, le matériel et les opérations qui permettent à la micromobilité urbaine de fonctionner à grande échelle. Envie de contribuer à façonner le quotidien de millions de personnes dans leurs villes ? Nous recherchons un(e) ingénieur(e) logiciel Android pour rejoindre l'équipe Expérience utilisateur au sein de Lyft Urban Solutions. Votre travail contribuera directement à l'expérience numérique de nos plateformes de vélos et de trottinettes en libre-service. Vous développerez les systèmes backend qui garantissent une expérience fluide et rapide pour les programmes d'abonnement, les fonctionnalités destinées aux utilisateurs et les interactions en temps réel. Ce recrutement est urgent ; l'équipe a des objectifs ambitieux pour 2026 et recherche des ingénieurs compétents, opérationnels immédiatement. Nos ingénieurs sont des personnes brillantes, pragmatiques et capables de résoudre les problèmes rapidement, assurant ainsi un déploiement continu en production. Respon

By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU & SOC acts as the brains of computers, robots, and self-driving cars that can understand the world. We are looking for Design Validation Engineer in Taipei for board/system power qualification and function test, responsible for NVIDIA Data Center platform, Graphics board, ARM Based platform and Autonomous Driving Platform. If you're creative and autonomous, we want to hear from you! What you'll be doing: Server/Motherboard/Mobile system functionality test. Clock/Sequency/GPIO signal measurement and verification. WAT (wide area test) function test. Gaming test. High/Low speed interface SI test. Co-work with hardware design engineers on debug and FA. Co-work with mechanical/thermal engineers for cooler/heatsink design. What we need to see: Masters degree in EE, computer science, or relative majors. Proficient with Linux system and GPU setup. Capable of writing simple shell scripts and analyzing test results using commands. Familiar with PC and Datacenter system hardware assembly, MB BIOS upgrade, and network troubleshooting Proficient with a programming language (C/C++, Python, Java, or Perl) Understand UEFI boot OS startup process and out-of-band (

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . About the Role SonicWall is seeking a Senior Software Engineer with deep IPv6 expertise to lead the design, implementation, and hardening of IPv6 capabilities across the Sonicwall firewall firmware stack. As a Principal Engineer, you will be the technical authority for IPv6 feature parity, protocol correctness, and interoperability across SonicWall Next-Generation Firewall (NGFW) platforms. This role is ideal for engineers with hands-on experience delivering IPv6 in high-performance router, switch, or carrier-grade networking products who are looking to apply that expertise in the embedded network security domain. Responsibilities Lead IPv6 Architecture & Feature Delivery — Own end-to-end design and implementation of IPv6 features across the Sonicwall frewall networking stack, including IPv6 routing, interface addressing, DHCPv6, NDP, MLDv2, and IPv6 Policy-Based Routing (PBR). Drive IPv6 Feature Parity — Identify and close gaps between IPv4 and IPv6 feature sets across subsystems — including VPN Tunnel Interfaces, IPsec/IKEv2, SSL-VPN, Syslog, SNMP, and NAT64 — ensuring consistent dual-stack and

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . We are seeking an experienced Principal Software Engineer to lead the architecture, development, and evolution of a large-scale malware analysis and cybersecurity platform. This role will own the end-to-end technical architecture across Python-based analysis pipelines, message-driven job orchestration systems, Windows VM sandbox environments, and web-based interfaces. The ideal candidate brings deep expertise in software engineering, malware analysis, and distributed systems, with a proven ability to take ownership of complex legacy platforms and drive modernization initiatives. You will lead the design and implementation of advanced detection capabilities, including behavioral analysis, malware sandboxing, machine learning-based classification, and support for new file types, while ensuring platform scalability, reliability, and performance. This position requires strong hands-on development skills in Python with Linux-based production environments, messaging architectures such as RabbitMQ, virtualization technologies, and cloud-native deployment practices. As the technical leader for the platform,

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . We are seeking a talented Cloud Application Full Stack Engineer to join our team in developing a cutting-edge cloud application in cybersecurity. As a key member of our engineering team, you will help create an innovative endpoint security solution. Our development environment is truly cross-platform, encompassing a wide range of technologies, including AWS cloud services, Windows, macOS, Linux, ChromeOS, Android, and iOS applications. This unique setup offers you an exceptional opportunity to gain exposure to a diverse array of technologies that few organizations can match. Join us in shaping the future of cybersecurity and expanding your expertise in a dynamic and multi-platform development team. Role and Responsibilities: Develop and maintain robust, scalable, data-intensive, and high-performance web applications using Node.js and Vue3.js. Implement and maintain backend services, APIs, and databases using TypeScript, MongoDB, and Redis. Collaborate with cross-functional teams, including developers, QA, product managers, and designers, to ensure seamless integration of frontend and backend components, de

We are seeking a highly experienced commissioning engineer in the Thermal Power industry to join our team in Korba. The ideal candidate will have extensive knowledge of Commissioning Boiler and Turbines Instrument, P&ID diagrams, design basis/criteria document, instrument list, and DCS graphics. The individual should also be familiar with power plant protection systems, vendor drawing review, interdisciplinary coordination, and mechanical package support. Additionally, the candidate should be able to effectively engage with OEMs, vendors, and project construction teams. This role presents an exciting opportunity for a seasoned professional to contribute to the success and growth of our organization. Source: Adani Group | Job ID: 45563