As a Senior Devops Engineer, you will be involved a number of technically challenging problems, oversees design and coding for features. This position will be working very closely in multiple function of the organization. You will be involving every aspect of the product development process, from brainstorming the next great product innovation to tweaking pixels right before launch. Responsibilities Develop tools for application and performance monitoring Contribute to system architecture design Develop and deploy cloud infrastructure in IaC manner. Improve and manage Terraform, K8S and CI/CD pipeline. Design and implement Disaster Recovery & backup solution, Automate and streamline operations and processes. Communicate, escalate and follow up as appropriate to ensure that problems are solved Requirements Solid experience in AWS, Terraform, Kubernetes is a must Experience in building CICD pipelines of a large scale enterprise application Experience in monitoring systems like Prometheus, Grafana, etc. Experience in logging systems like Fluentbit, Loki, etc. Experience in maintaining high-availability and low-latency crypto exchange is a plus Experience in Linux and Network Concepts Experience in GitOps with ArgoCD is a plus 4+ years experience in DevOps & AWS Ability to code. You are expected to write some maintainable code. A strong interest in working in technology and/or financial environments Excellent communication and interpersonal skills to engage both technical and non-technical stakeholders Experience in on-premise system is a plus Strong ability to collaborate effectively with cross-functional teams across APAC and EMEA time zones. Life @ Crypto.com Empowered to think big. Try new opportunities while working with a talented, ambitious and supportive team. Transformation
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Zoox's Robot Software Infrastructure team is seeking a passionate software engineer to help develop and advance the common performant operating system that powers several devices on our Robotaxi including onboard AI systems running Autonomy software. This team develops platform-level software and services, including custom operating systems that enable complex, hardware-accelerated workloads critical for autonomous driving on automotive-grade hardware. We work closely with cross-functional teams—including other software developers, hardware engineering, release management, manufacturing and operations—to support vehicle development and deployment at scale. If you are excited to explore a broad problem space and are mindful of how components fit within a larger system, you may be a great fit! In this role, you will: Design, develop, and maintain the operating system platform that powers various on-bot devices and applications Configure and manage embedded Linux build systems (e.g., Yocto) and bootloader processes (e.g., U-Boot) to ensure reliable system startup and maintenance Develop and optimize device drivers and kernel-space components using C, C++, or Rust to meet performance and reliability requirements Collaborate cross-functionally to support seamless integration and delivery of the OS platform, triage issues, support new hardware bring-up and manufacturing functions Qualifications 4+ years delivering embedded software for production systems Have a deep understanding of Linux, build systems like Yocto, and bootloaders like U-Boot Be familiar with Linux init systems (e.g., systemd), containerization concepts (e.g., chroot, cgroups, Linux namespaces), and filesystems Understand device drivers and kernel-space code and proficiency in a language without automatic memory management (e.g., C or C++), and in multiple scripting languages like bash and Python S
Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. As a Technical Support Engineer on our Tier 3 team , you'll work with some of the most advanced companies leveraging cutting-edge AI-driven systems to enhance business performance. Your role involves deep technical investigation, resolution of complex issues escalated by the Support team, and acting as the main technical liaison with R&D. You'll play a critical role in identifying recurring issues and driving continuous improvement initiatives in collaboration with R&D and Product Management through leveraging customer feedback and data across the Support team. You’ll Own: Subject Matter Expertise: Serving as a dedicated subject matter expert (SME) for a specific product area and owning it end-to-end. Escalation Management: Partnering with Tier 2 Support and Customer Success teams to prioritize escalations, communicate updates, and drive end-t
About the job Shape the power delivery foundations behind advanced AI compute systems built for real-world reliability. As a Power Integrity Engineer, you will deliver robust power integrity solutions across Graphcore silicon and system designs. Your work will help advanced compute platforms operate reliably across complex packages, PCBs and hardware systems. You will develop and analyse power delivery networks across silicon, package and PCB designs. You will use simulation, measurement and lab correlation to turn power behaviour into clear design improvements. This role gives you ownership across the full system path. You will influence decoupling strategy, stack-up decisions, bring-up debug and best practice for future platforms. The team and culture You will join the Signal and Power Integrity team within Systems Engineering Hardware Motherboard. The team works across chip, package, board and system engineering to solve problems end to end. Work moves through modelling, simulation, validation and lab evidence. You will collaborate closely with hardware teams and third parties to improve power and signal performance. You will be trusted to guide technical decisions, review peer work and speak up when designs need challenge. Ownership sits close to the engineering detail. What we’re looking for · Strong understanding of power integrity principles, including PDN design and analysis · Proficiency with PI simulation tools such as PowerDC, PowerSI, HFSS/SiWave, Simplis, Spice, ADS or similar · Experience working across chip, package or board-level design · Ability to interpret simulation results and translate them into design improvements · Knowledge of electromagnetic simulation techniques and lab measurement using equipment such as VNAs and oscilloscopes · Strong analytical skills, clear communication and the ability to work cross-functionally While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our
We are a team to design, develop, maintain, and improve software for various ventures projects, i.e., projects that are adjacent to our core businesses and are bootstrapped fast with a lean team. You will be actively involved in the design of various components behind scalable applications, from frontend UI to backend infrastructure. As a Senior Devops Engineer, you will be involved a number of technically challenging problems, oversees design and coding for features. This position will be working very closely in multiple function of the organization. You will be involving every aspect of the product development process, from brainstorming the next great product innovation to tweaking pixels right before launch. Responsibilities Develop tools for application and performance monitoring Contribute to system architecture design Develop and deploy cloud infrastructure in IaC manner. Improve and manage Terraform, K8S and CI/CD pipeline. Design and implement Disaster Recovery & backup solution, Automate and streamline operations and processes. Communicate, escalate and follow up as appropriate to ensure that problems are solved Requirements Solid experience in AWS, Terraform, Kubernetes is a must Experience in building CICD pipelines of a large scale enterprise application Experience in monitoring systems like Prometheus, Grafana, etc. Experience in logging systems like Fluentbit, Loki, etc. Experience in maintaining high-availability and low-latency crypto exchange is a plus Experience in Linux and Network Concepts Experience in GitOps with ArgoCD is a plus 4+ years experience in DevOps & AWS Ability to code. You are expected to write some maintainable code. A strong interest in working in technology and/or financial environments Excellent communication and interpersonal skills to engage both technical an
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. Responsible for analyzing and optimizing the performance of production operations. Responsible for facility optimization, improving overall manufacturing efficiency, and ensuring high product quality. Develop systems in a diverse range of topics such as scheduling and real-time dispatch, line management, production metrics and reporting, statistical analysis, and project management. Improve safety behaviors and processes in the work environment by analyzing and sharing safety data. Participate in the weekly OI on-call rotation to ensure 24/7 coverage for critical OI-related issues. Perform first-level system support along with additional on-call duties as described in the OI on-call training document. Continuously improve scheduling and automation systems (applications, business rules, heuristics/algorithms, integration) to enable the fab to achieve Line of Sight goals. Continuously enhance manufacturing simulation systems to improve prediction accuracy and enable expanded scenario study capabilities. Work with stakeholders to ensure a balance between global line prioritization and local area optimization. Support and provide technical expertise for line management decision-making (including linearity, cycle time, line yield, wafer starts, and output optimization). Assist with facility optimization and overall manufacturing efficiency. Support manufacturing scenario studies through simulation systems. Provide timely progress updates and identify potential roadblocks. Ensure projects are properly prioritized and that deliverables and timelines align with constr
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. Micron Idaho Semiconductor Manufacturing (Triton) LLC Play a critical role in managing part type introductions, wafer resource planning, and yield performance across all manufacturing stages—from early planning to sustaining production—with responsibilities that vary by product maturity (e.g., Alpha DID, Ramp, Mature). Execute system and traveler setup and ensure timely pilot scheduling. Support risk assessment and resource coordination for new product introductions. Assist in projecting yield curves to support business planning and forecasting. Participate in sampling plans, attribute setup, SWR handling, and hold management. Manage B-type wafer requirements for pilot runs and ensure alignment with topo needs. Collaborate with planning and operations teams to manage priority lots and enhance scheduling efficiency. Oversee attribute settings, including SIC and system configurations, and ensure inclusion in new DID checklists. Coordinate with reticle engineers to request and track new reticle deliveries. Employer will accept a Bachelor's degree in Electrical Engineering, Chemical Engineering, Materials Science, Physics, or related field and 36 months of experience in the job offered or in a related occupation. Position requires: 1. DRAM/NAND technologies; 2. Process Control including the use of statistical process control tool including SPACE to perform analysis including specs retarget assessments; 3. Project Management including effective coordination with cross-functional team as well as schedul
About OfficeSpace: OfficeSpace Software provides the leading AI operating system for the built world, that helps teams plan, connect, and perform in the workplace. As a performance-based, PE-backed company, we hire based on merit and a willingness to do what it takes to succeed long-term. You’re a great fit for the role if you’re entrepreneurial, passionate, motivated by building at light speed, and an Agentic AI early adopter. Our world-class teams operate in the US, Canada, and Costa Rica in a culture of trust, respect, growth, and impact. We're looking for an Engineering Manager to lead four distinct but connected areas: our intern program, intern-staffed maintenance team, Quality Engineering, and Solutions Engineering. You'll lead people at different stages of their careers, from university interns building production experience to senior technical ICs solving complex quality, performance, and customer challenges. Team leads will continue to own day-to-day technical direction. You'll own people leadership, talent development, operating health, and coordination across the portfolio. This is a broad leadership role for someone who can build strong teams, use data to drive decisions, and make AI part of how work gets done. We move fast. You'll help these teams move with more clarity, quality, and leverage. What you'll do Lead, coach, and develop people across the intern program, maintenance, Quality Engineering (QE), and Solutions Engineering (SE), while partnering closely with team leads on technical direction. Build clear goals and development plans for direct reports. Run effective 1:1s, deliver actionable feedback, and create meaningful opportunities for career growth. Own the intern program from recruiting through conversion, including university partnerships, candidate selection, onboarding, mentorship, cohort programming, performance feedback, and offboarding. Build a repeatable intern experience that connects academic learning with meaningful p
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. We are looking for a Post-Silicon Validation Engineer to drive bring-up, validation, and debug of RISC-V–based SoCs. This role sits at the intersection of silicon, firmware, and system software, and requires hands-on lab experience and understanding of SoC architectures. You will own post-silicon validation from first-silicon bring-up through production readiness, working closely with design, pre-silicon verification, firmware, and software teams. This role is hybrid, based out of Austin TX, or Santa Clara CA. 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 You are a seasoned post-silicon engineer with 5+ years of experience in SoC bring-up, validation, and silicon debug. You have a strong grasp of CPU and SoC architectures, including RISC-V privilege modes, caches, coherency, and memory systems. You are comfortable debugging complex hardware/software interaction issues using lab tools and low-level software. You thrive in cross-functional environments and enjoy working closely with RTL, firmware, and software teams to solve hard problems. What We Need Lead first-silicon bring-up of RISC-V CPU–based SoCs and execute post-silicon validat
R&D Manager, Hardware and System Validation Description - HP creates technology that makes life better for everyone, everywhere. Within the Advanced Compute & Solutions BU, Workstations R&D develops high-performance computing platforms for professional, technical, and enterprise customers. The Hardware and System Validation team is central to delivering reliable, high-performance HP Z Workstation platforms at scale and maintaining strong customer and partner confidence. Join the business bringing the future of advanced computing to professionals worldwide. The R&D Manager for Hardware and System Validation leads a team of individual contributors responsible for a variety of lab test functions, system integration testing and platform validation for HP Z Workstations. The role manages multiple ongoing validation efforts through the labs to align resources, ensure suitable test plans and strategies, and drive deliverable achievement inclusive of quality, schedule, and cost. The manager will drive execution from early component-level and platform & system bring-up through initial product launch, sustaining updates, and lifecycle refreshes, ensuring platform quality, customer readiness, and on-time delivery across internal teams, global original design manufacturers, silicon partners, and specialized test suppliers. This role combines direct leadership, application of technical breadth, program execution, supplier management, and continuous improvement. It partners closely with Architecture, Electrical Engineering, Software, Quality, Program Management, Manufacturing, Regulatory, Field Engineering, and external development partners to assess risk, resolve cross-functional issues, and support shipment readiness and customer commitments. The fundamental outcome is outstanding products meeting customer needs and expectations under a variety of professional worldwid
We are looking for a passionate and skilled AI engineer who is responsible for designing and delivering complex generative AI solutions. This role requires the ability to work autonomously on challenging technical problems, provide mentorship to junior engineers and champion engineering best practices. Due to the nature of the projects and specific client security clearance, this role requires the successful candidate to be a Singapore Citizen or PR of Singapore. Job responsibilities Design, build and deploy GenAI applications using techniques such RAG, Agents, Multi Agent Systems etc., taking ideas from prototype to production. Work with both AI/ML engineers and software engineers to deliver reliable, scalable systems. Own key features or components, ensuring they are well-structured, efficient and easy to maintain. Make technical decisions and contribute to system design with attention to performance, cost and reliability. Collaborate with product managers, designers and data scientists to turn business needs into practical solutions. Share knowledge and mentor junior team members, helping them grow their technical skills. Review code and provide clear, constructive feedback to peers. Understand deployment options and trade offs across different cloud providers such as AWS, Azure, Google Cloud, etc. Understand optimization techniques to improve accuracy, performance and cost for GenAI applications. Job qualifications Technical Skills Strong software engineering fundamentals, including Python, CI/CD, testing, version control and clean code practices. Solid grasp of software design principles and ability to design and implement AI-powered components or workflows. Experience with at least one GenAI framework (e.g., LangChain, LlamaIndex, Semantic Kernel) and one agentic framework (e.g., PydanticAI, LangGraph, AutoGen2). Hands-on experience building and optimizing Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g., FAISS, Pinecone, Weaviate). F
Job Title Product Support Engineer (Open) Job Description As a Product Support Engineer, you will be responsible for providing advanced technical support for Philips healthcare solutions and medical informatics platforms. The role focuses on diagnosing and resolving complex technical issues, supporting customer escalations, and contributing to continuous improvements in product support processes to enhance customer satisfaction and operational performance. Your role: Provide advanced technical support for healthcare products and solutions, diagnosing and troubleshooting software, hardware, network, and system-related issues. Act as a subject matter expert for internal teams, field engineers, and customers, supporting complex technical investigations and escalations. Collaborate with global teams, including R&D, Product Management, Service, and Field Service organizations to drive issue resolution and product improvements. Advocate for customer needs throughout the product lifecycle while promoting service excellence and customer satisfaction. Lead technical troubleshooting efforts and provide Level 3 escalation support for critical customer issues. Support service process improvements, reliability initiatives, technical communications, and knowledge-sharing activities. Participate in the development of training materials and technical documentation for internal and external stakeholders. Drive continuous improvement initiatives focused on product performance, supportability, and customer experience. You're the right fit if: You have experience in Healthcare IT, Biomedical Engineering, Medical Informatics, Clinical Informatics, Technical Product Support, or related fields. You have experience diagnosing and troubleshooting complex hardware, software, networking, or system integration issues. Yo
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Drive the hardware engineering lifecycle for Everpure’s Hyperscale Line of Business, shaping high-performance, energy-efficient storage architectures tailored directly to hyperscale partners . You will serve as the technical lead bridging customer requirements and internal engineering execution, ensuring custom hardware solutions meet exacting performance and total cost of ownership (TCO) benchmarks . Working closely with cross-functional teams in validation, diagnostics, manufacturing test, and operations, you will lead hardware qualification projects, solve critical escalations, and advance system robustness . This role gives you direct ownership over the hardware that powers next-generation, large-scale data infrastructure . WHAT YOU'LL DO Lead Hardware Qualification & System Hardening: Plan, execute, and automate comprehensive x86 hardware validation cycles—including electrical, signal integrity, and protocol testing—to guarantee system reliability for enterprise hyperscale deployments . Drive Cross-Functional Production Readiness: Partner with operations, manufacturing test, and software diagnostic teams to transition custom storage subsystems into full-scale production, establishing clear test coverage and automated validation workflows . Resolve High-Impact Technical Escalations: Perform root-cause analysis on complex hardware failures and field escalations, using advanced tools like high-speed o
About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We’re looking for a OrioleDB Deployment Engineer to join our OrioleDB Team and help elevate our OrioleDB offering. You’ll work closely with the OrioleDB team, playing an instrumental role in technical decision-making and refining internal methodologies. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. What You’ll Be Responsible For Package software into our supabase/postgres repo using Nix (with flakes), and help us transition our packaging from traditional to Nix packaging more over time. Manage OrioleDB release lifecycles, ensuring timely major, minor, and extension upgrades. Expand platform release systems to allow developers to increasingly self-service. Optimize CI/CD and tooling, specifically expanding GitHub Actions, team tooling, and testing/release approaches. Resolve production issues by proactively identifying and fixing problems in customer deployments. Maintain best practices and tests to ensure enhanced stability and decreased deployment risks. co-owning the integration of OrioleDB into the supabase product You Might Be a Good Fit If You Have 3+ years of experience with PostgreSQL and its ecosystem, including extensions and performance optimization. Are an Infrastructure Expert with proven experience in management, tooling, and optimization. Are proficient in the Nix package management system (including flakes) alongside Ansible, Packer, Docker, QEMU/KVM, AWS, and Kubernetes. Have experience building for multiple architectures , specifically Linux and Darwin/macOS aarch64 targets. Are comfortable with polyglot environments , including builds for C/C++, Go, JavaScript, a
NVIDIA’s Silicon Co-Design Group sits at the crossroads of architecture, silicon, systems, and manufacturing, where first-principles thinking and engineering judgment at the highest level translate directly into product outcomes at scale. We are looking for a Principal Performance and Manufacturing Architect who has built the models, defined the specs, and seen them validated through silicon. You have owned the connection between design intent and manufacturing reality, not as a reviewer or a contributor, but as the person who set the methodology and proved it worked. You turn ambiguous physical phenomena into quantified, defensible margin terms. You do not wait for data to confirm your hypothesis; you design the experiment that gets it. You improve how the organization ships products after every program. The exceptional hire also uses AI deliberately — with proven workflow impact and the judgment to know where it compresses real work and where it introduces risk. What you'll be doing: Own the physics, from mechanism to margin. Build first-principles models connecting AVF, defect mechanisms, and DVFS transients to field FIT, system-level yield, and DPPM vs. coverage — calibrated per node and population shift — so every margin term in the V/F curve and P-state table is named, sourced, and defensible. Set the screen that resolves escapes. Specify ATE and SLT voltage, frequency, and timing conditions that capture worst-case transient VF windows — making it unambiguous whether a marginal defect or timing violation is detected or escapes at every manufacturing stage. Make the POR the authoritative source. Author the methodology document for each program and drive alignment across build, product definition, reliability, and test engineering — so every team is making decisions from the same model. Prove the model before produc
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