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We are seeking software engineers to work on next-generation graphics and computing products. Our charter is to build the most stressful set of applications a GPU or high performance computing server would see in its life cycle. The best candidates will have strong C++ programming skills, detailed knowledge of graphics concepts and algorithms, a proven foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation hardware architecture at systems level. Excellent interpersonal skills and a dedication to meticulous engineering practices are a requirement. As a system software engineer, you will extensively use your knowledge of operating systems, algorithms, and computer architecture to provide robust and efficient solutions to validate and test next generation processors. Join us! What you'll be doing: Working closely with architecture, hardware and driver teams through the product development lifecycle of computing and graphics processors, as well as compute products. Responsible for crafting software tools and infrastructure required for new chip development, validation, and productization. You will assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and OpenGL extensions. This job will require an understanding of our hardware and software architectures. What we need to see: BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science or equivalent experience Strong C/C++ or Python programming skills Familiarity with computer architecture, and ability to work close to the hardware 5+ years of relevant experience Background with PCIe, NVLink or server product technologies like InfiniBand, Ethernet is a plus Previous experience of working on a large system software code

Job Title Senior/Staff Software Engineer with C++ - Drivers, Diagnostic, & Embedded Software (San Diego, CA) Job Description Senior/Staff Software Engineer with C++ - Drivers, Diagnostic, & Embedded Software (San Diego, CA) You have the opportunity to work on the development of Intravascular Ultrasound Systems. As a member of a cross-functional team, you will work closely together with electrical engineers, transducer engineers, software engineers, system engineers, and ultrasound engineers. Your role: Being a key contributor to the development of medical capital equipment Architect, design, and develop driver, diagnostic, and embedded software for intravascular ultrasound systems. Interfacing with multi-disciplinary teams consisting of marketing, hardware, software, catheter design, and manufacturing to refine design requirements for next generation intravascular ultrasound devices. Create software requirement specifications, software architecture documents, and detailed software design documents. Design, develop, and debug driver software and embedded software to implement communication between hardware and application software using C++. You're the right fit if: You have 8 + years of experience in software/embedded software development, preferably in the field of medical electronics. You are experienced with object-oriented programming languages design, and coding. Strong C++ and experience in a Windows environment are required. You earned a BS or MS in Computer Science, Electrical Engineering, Biomedical Engineering, or related field. You’ve gained industry experience creating detailed design documentation (specifications, design descriptions, verification and testing plans). Having knowledge of digital signal and

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! NVIDIA Architecture Modeling group is looking for Architects, Software Engineers, and AI application developers to join our various architecture efforts across GPU's and SOC's. In this position, you will be working with other world-class architects on enabling state-of-the-art GenAI applications integrated with simulation platform and architecture teams' process workflows. What you’ll be doing: Develop and deploy scalable GenAI applications that integrate with existing workflows and enhance overall productivity Use state-of-the-art AI tools and techniques to accelerate GPU/ SOC Architecture modeling Work with hardware architects to identify how to best design, customize, and deploy AI-based solutions to their specific problem domains. Collaborate with infrastructure engineers to improve existing automated workflows by incorporating LLMs and establishing best practices for future solutions. Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge. What we need to see: BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a relate

Managing twenty-five scheduler cells by hand does not scale, and we are not going to try. NVIDIA is building a config-as-code foundation for its EDA compute farm, and we need an automation engineer to own it end to end. You are joining at the point where this is still partially manual and inconsistently applied across cells. That is the interesting version of the problem — you will be migrating off partial systems and reconciling drift, not starting from a blank repository. What you'll be doing: Designing and owning the configuration schema for LSF cell deployment, so that a policy change is written once, reviewed, tested, and applied identically everywhere it belongs. Building the deployment pipeline that takes scheduler configuration from merge to production across a federated estate, including staged rollout and rollback. Eliminating configuration drift across cells, and building the tooling that keeps it eliminated. Standing up the regression suite that lets us upgrade LSF on a schedule rather than on a dare. Working alongside our LSF internals engineer to encode hard-won scheduler knowledge into templates and policy, so that expertise lives in the repository instead of in one person's head. What we need to see: BS or MS in Computer Science or equivalent experience. 6+ years in infrastructure engineering with strong config management depth — Ansible, Salt, Puppet, Chef, or comparable. Real experience with GitOps practice at scale: review workflow, environment promotion, drift detection, and safe rollback. Proficiency in Go, Python and shell, and comfort building the tooling rather than only using it. Exper

NVIDIA is looking for a Senior ASIC Verification Engineer to help verify our global IP! This position offers an opportunity to impact an array of products while collaborating with teams from design, architecture, verification, and integration. At NVIDIA, we have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. In this position, you will partner with the design and architecture teams to help make the right implementation choices, craft and implement verification test plans, maintain regressions, close coverage and sign off design or both functional correctness and for meeting performance expectations. This position offers the opportunity to have a real impact on multiple product lines including consumer graphics, self-driving cars, HPC, cloud computing, and AI! What you'll be doing: Develop test plans, tests and verification infrastructure for verifying global IP across multiple products Define, develop, and automate flows and methodologies to efficiently build, deploy, and verify generated RTL Ensure code and functional coverage of all the RTL which you will verify Build verification components using SV/UVM methodology Driving coverage-based verification closure Collaborate with design teams across NVIDIA to find corner cases and resolve verification related issues What we need to see: BS/MS in Electrical or Computer Engineering (or equivalent experience) 5+ years of proven design verification experience Experience in pre-silicon verification (UVM, SystemVerilog), ASIC design/implementation flow, and design automation Programming and scripting experience in Perl or Python Excellent debugging and analy

We are now looking for a Senior Architect for GPUs and SoCs: The NVIDIA Architecture Modelling group is looking for architects and software developers to join our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our GPU architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip architectures and features that advance the state of art in performance and efficiency. What you'll be doing: Modeling and analysis of graphics and / or SOC algorithms and features Work in a matrixed environment, across the different modelling teams, to document, design, develop tools to analyze and simulate, validate, and verify models Familiarize with the different models (functional and performance) that are used at Nvidia and help with feature implementation as required. Develop tests, test plans, and testing infrastructure for new architectures/features. Code coverage analysis and reporting Mentor younger engineers and help sustain good coding practices. Learn about newer modelling techniques and frameworks, evaluate the best solution for our needs and work with your manager to drive the change Help develop AI based tools to increase efficiency. What we need to see: Bachelors Degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering) 8+ years of relevant work experience or MS with 5+ years of experience or PhD with 2+ years of experience Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make), toolchains (GC

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana We're looking for a Senior Staff Machine Learning Engineer to lead the AI behind Altana Nexus, our agentic platform for global trade. You'll work on a continuous stream of public and proprietary trade data (shipments, customs filings, trade documents), and build the models and AI agents that turn it into real-time decisions on risk, compliance and enforcement for governments and the world's largest companies. Your Responsibilities Drive the technical direction for agentic systems. Define the architecture and roadmap for the models and agentic systems that process trade data as it arrives (shipments, customs declarations, invoices, bills of lading) and turn it into risk, classification and compliance decisions in real time. Build the pipeline from ingestion to decision. Lead the design of reliable, cost-efficient systems for ingestion, document understanding, entity resolution, inference and routing across models, at the scale of global trade. Adapt models to trade. Use analyst feedback, production outcomes and agent traces to fine-tune and post-train models (SFT, DPO, RL with domain graders) where it measurably beats prompting, and keep every model improving over time. Design the observability and feedback stack. Build the evals, tracing and feedback loops that decide what ships and catch regressions in production. Lead beyond your team. Mentor senior engineers, raise the technical bar across Engineering, and help shape how we hire and level ML talent. Shape the product and the business. Work with software engineers, data scientists, product managers and customers to generate new business ideas and turn ambiguous problems into shipped capabilities. About You BS/MS in Computer Science, Machine Learning, or a related field, or equivalent experi

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role We focus on building and enhancing tools and systems that empower our developers, sales, and support teams. As a Backend Engineer on our team, you'd focus on designing new tools and improving quality of existing ones. Whether you’re early in your career or bring years of experience, there’s an opportunity to make a significant impact. We are committed to a thriving in-office culture. This role requires you to be onsite at our HQ in San Mateo, CA. What You'll Do Doing common actions in the cloud rather than from developer machines Improving handling of licenses Separating the monolith support tool into smaller a more manageable tools Improving the feature flags system Building tools that use AI Building tools to improve security and privacy Contributing to open-source systems used by Verkada What You Bring Must have a BS, MS, or PhD

Zoox is looking for an experienced technical program manager on our Advanced Hardware Manufacturing Operations team to support development of manufacturing capacity for hardware assemblies used on our autonomous vehicle platform. This is a high visibility, strategic and technical role driving complex manufacturing capacity upgrades and expansion. In this role you will plan and own multiple capital expenditure (CapEx) projects from early concepts through final commissioning, supporting manufacturing of critical subassemblies on both current and next-generation vehicle platforms. You will partner with internal Zoox engineering teams and external partners to develop the capacity to deliver these key pieces of our autonomy hardware stack to the fleet at scale. In this role you will Manufacturing Project Lifecycle Management: Drive the planning, detailed engineering design, and execution for complex manufacturing facility upgrades and line implementation. External Partner Interface: Act as the primary technical liaison, managing relationships, schedules, and deliverables with both equipment integrators and engineering partners. Cross-Functional Integration: develop project level RASICs and build strong relationships across Manufacturing, Hardware, Facilities, Program Management and Supply Chain. Communication: Lead and prepare updates for department, program steering team and leadership level meetings. CapEx & Risk Mitigation: Own integrated program schedules from design through equipment installation and commissioning. Track capital expenditure budgets and proactively resolve critical path risks to ensure seamless operational readiness. Qualifications BS/MS in Industrial, Mechanical, Manufacturing Engineering, or a related discipline. 8+ years of TPM or operations experience, wi

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role The Controls team at Nuro is responsible for safely and smoothly executing Autonomy generated plans, across vehicle platforms and ODDs. We are looking for an experienced Controls Engineer to join us in this impactful role, where you will collaborate with best-in-class engineers to tackle challenging problems and help advance the future of robotics to improve everyday lives. About the Work Develop robust, production-grade control software following safety standards (ISO 26262). Collaborate closely with OEM engineers and other Nuro teams to define vehicle and controls SW requirements for integrating Nuro Driver™ into new vehicle platforms. Adapt Controls software stack to new vehicle platforms. Conduct hands-on vehicle bring up, controls tuning, testing, and debugging for achieving vehicle performance, quality and drivability targets. About You MS in mechanical, mechatronics, electrical, aerospace, robotics, or closely relat

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role The Controls team at Nuro is responsible for safely and smoothly executing Autonomy generated plans, across vehicle platforms and ODDs. We are looking for an experienced Controls Engineer to join us in this impactful role, where you will collaborate with best-in-class engineers to tackle challenging problems and help advance the future of robotics to improve everyday lives. About the Work Develop robust, production-grade control software following safety standards (ISO 26262). Collaborate closely with OEM engineers and other Nuro teams to define vehicle and controls SW requirements for integrating Nuro Driver™ into new vehicle platforms. Adapt Controls software stack to new vehicle platforms. Conduct hands-on vehicle bring up, controls tuning, testing, and debugging for achieving vehicle performance, quality and drivability targets. About You MS in mechanical, mechatronics, electrical, aerospace, robotics, or closely relat

1KOMMA5° Bei 1KOMMA5° Commercial & Industrial Solutions unterstützen wir ALLE Gewerbe- und Industrieunternehmen in Deutschland auf ihrem Weg zur CO₂-Neutralität – mit sicheren, effizienten und innovativen New Energy-Anlagen . Damit tragen wir aktiv zu einer klimaneutralen Wirtschaft bei. Zur Verstärkung unseres Teams suchen wir einen t echnischen (Senior) Projektmanager für New Energy Großprojekte Region Stuttgart (m/w/d) , die ihre Expertise in Photovoltaik, Energiespeicher, Ladeinfrastruktur, Energiemanagement und Netzwerktechnik einbringen möchten. Bei uns erwarten dich spannende Projekte, ein dynamisches Team und die Chance, die Zukunft von New Energy-Anlagen aktiv mitzugestalten. Deine Position Technische Gesamtverantwortung von der Erstbegehung bis zur erfolgreichen Netzeinspeisung für anspruchsvolle EPC-Projekte im Bereich Commercial New Energy (Photovoltaik-Dachanlagen, Batteriespeichern, Ladeinfrastruktur und Energiemanagement) Bauüberwachung vor Ort sowie fachliche Koordination und Steuerungunserer Nachunternehmen Sicherstellung der Einhaltung technischer und sicherheitsrelevanter Standards und Abnahme der erbrachten Leistungen Entwicklung technischer Konzepte gemeinsam mit unseren Planungs- und Engineering-Teams sowie Begleitung der Umsetzung (z. B. Dachbelegung, Stringplanung, NSHV, Transformatoren, MS-Stationen) Ergebnisorientiertes Stakeholder-Management mit Auftraggebern, Netzbetreibern und Behörden zur erfolgreichen Umsetzung der Projekte Dein Profil Abgeschlossenes Studium im Bereich Erneuerbare Energien, Elektrotechnik, Bauingenieurwesen oder eine vergleichbare technische Qualifikation Mindestens 5 Jahre einschlägige Berufserfahrung in der technischen Umsetzung von EPC-Projekten im Bereich Commercial & Industrial mit fundiertem Wissen über Aufdach-PV-Anlagen Sicherer Umgang mit Ausführungs-, String- und Schaltplänen (AC/DC) sowie deren Prüfung auf technische Plausibilität Erkennen von Montage- und Ausführungsfehlern vor Ort sowie deren fachlich prä

The Autonomous Ops & Maintenance (ATOM)Team is developing an innovative platform that leverages artificial intelligence and automated systems to empower engineering groups in safely executing complex operations and software maintenance. Their primary objective is to minimize repetitive toil while delivering the precise visibility, oversight, and trust necessary to run automated solutions in mission-critical environments. Consider it an intelligent virtual collaborator operating alongside development and infrastructure engineers, directly offloading routine operational overhead that currently requires manual intervention. We are looking for a Senior Software Engineer to help us design and scale our foundational architecture. In this role, you will synthesize vast technical datasets into rich structured knowledge, engineer AI-driven components capable of analyzing intricate operational workflows, and construct highly reliable systems to execute automated modifications seamlessly. 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 a greenfield initiative from inception to scale, shaping foundational product architecture, engaging directly with users to refine early concepts Build mission-critical solutions that customers depend on daily Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Who You Are: You have 6+ years of experience You have a BS/MS/PhD in a scientific field or equivalent experience You are proficient in Go You are comfortable building and operating production services end to end: You will independently own features and components, work through ambiguous technical problems, and be responsible for the reliability, observability, and operational q

Primary Responsibilities: Works closely with hiring managers to understand the requirements of each assigned role and creates the requisition in the Applicant Tracking System. Identifies, attracts, and engages potential candidates using various channels and methods to find individuals who meet the qualifications and requirements of the assigned open jobs. Manages job postings for assigned roles through various job portals, career sites, social media, and networking tools. Reviews resumes and applications to identify qualified candidates who meet the hiring criteria. Conducts initial phone screens, in-person interviews or virtual interviews to assess candidates' qualifications and suitability for the role Ensures that all mandatory information and documentation is entered and uploaded into the Applicant Tracking System. Loads and tracks open roles in the Applicant Tracking System. Manages the Applicant Tracking system by cleaning and updating the records based on the reporting/metrics requirements. Proactively identifies and recruits passive job seekers. Develops and retains relationships with candidates and referrals. Builds and maintains a comprehensive candidate pipeline that addresses all/any resource needs. Builds strong strategic relationships with hiring managers and teams, handle a diverse set of roles/positions, and able to manage competing priorities. Maintain confidentiality of HR information. Other TA related projects/tasks as assigned. Candidate Profile: Bachelor’s / Master's degree required or a combination of education, experience, and/or skills with 3-5 years of experience in candidate recruiting. Experience working with Agencies and diverse Recruiting partners to identify best fit candidates. Proficient in MS Office (Word, Excel, Outlook). Strong recruiting experience within Life Sciences industry is required. Good verbal and written language skills in English. Ability to be discreet and handle confidential and sensitive information. Stro

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Software Engineer Overview Interested in building the next generation platform that empowers end-to-end marketing campaign management inclusive of audience targeting, campaign execution, and measurement? Our platforms operate at global scale, enabling organizations across markets worldwide to leverage data-driven marketing capabilities. The overarching goal of data-driven marketing is to deliver the right content, to the right person, at the right time. The Marketing Services (MS) Technology team is looking for a Senior Software Development Engineer to provide technical ownership, with an emphasis on engineering efficiency, innovation, and on-time delivery. The ideal candidate is passionate about building highly scalable, cloud-native platforms using modern software engineering and data technologies. You will have the opportunity to work across technologies including Java, Spring Boot, React, GraphQL, Databricks, AWS, Spark, Hadoop, event-driven architectures, and real-time data platforms. Our teams leverage GenAI and Agentic AI capabilities throughout the product development lifecycle to accelerate delivery, improve quality, enhance automation, and increase engineering productivity. This role offers an opportunity to help shape Mastercard's ongoing cloud transformation journey while transform