Senior Rtl Design Engineer Jobs

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Senior Data Engineer Role Overview The Databricks Platform Engineer is the technical owner of our Databricks Lakehouse platform — the shared foundation on which enterprise data products, analytics, reporting and AI/ML workloads are built. This is a hands-on individual-contributor role responsible for the reliability, scalability, security, automation, governance and cost efficiency of the Databricks platform. The successful candidate will have production experience operating Databricks as an enterprise platform, not just building on it. They will work AI-natively and set that standard for the team. You will own the Data Platforms domain within a cross-skilled Data & Analytics Platforms engineering team. You will establish platform engineering standards, design and build infrastructure automation, create reusable reference architectures and engineering patterns, and ensure the platform can be operated reliably at enterprise scale. You will also mentor engineers and help build platform engineering capability within the India team. Key Responsibilities Platform ownership Own workspace- and accoun

The job purpose of a Shift Engineer - ThermalTools is to oversee the efficient operation, maintenance, and optimization of thermal tools and equipment in manufacturing or industrial settings. They ensure production meets quality standards, adhere to safety regulations, lead teams, troubleshoot issues, and drive continuous improvement to enhance productivity and reliability. Source: Adani Group | Job ID: 60305

Sr Software Engineer - Distributed Systems Engineer, EDA Infrastructure NVIDIA is hiring engineers to build and scale the infrastructure that supports our Electronic Design Automation (EDA) workloads. We are looking for engineers with strong programming skills, a deep understanding of distributed systems, experience operating large-scale production infrastructure, and excellent communication and planning abilities. You will help design reliable automation and platform services that manage large fleets of GPU-based and CPU-based compute systems used by engineering teams across NVIDIA. The ideal candidate is comfortable working across software, operating systems, cluster schedulers, networking, storage, and physical hardware. You should enjoy solving complex operational problems, eliminating repetitive work through automation, and building systems that remain reliable as infrastructure grows. If you are creative, pragmatic, and motivated to improve how critical engineering workloads are delivered, we would like to hear from you. What You Will Be Doing: Design and build platforms that automate the provisioning, configuration, operation, and lifecycle management of large-scale GPU and CPU compute infrastructure. Develop monitoring, health-management, and remediation systems that improve the reliability, availability, and utilization of EDA compute environments. Automate hardware deployment, operating-system configuration, firmware and software updates, cluster enrollment, and recovery workflows. Build reliable services and workflows that integrate with workload schedulers, infrastructure management systems, and observability platforms. Use hardware diagnostics, operating-system signals, scheduler data, and network and storage telemetry to identify

NVIDIA is looking for a Systems & Software Engineer interested in building and running reliable large scale infrastructure platform services. In this role you will create and support automation that manages infrastructure, as part of our organization running EDA platforms atop of NVIDIA hardware. What you’ll be doing: Design, build, deploy, and run infrastructure services & manage the software life cycle in scope to meet our business goals Build and maintain automation to eliminate manual toil and scale output without scaling effort Participate in the definition of our internal facing service level objectives and error budgets as part of our overall observability strategy Practice sustainable blameless incident prevention and incident response while being a member of an on-call rotation Consult with and provide consultation for peer teams on systems design best practices What we need to see: BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience Experience coding in Python and/or Go. Note : you must be able to produce code without AI assistance during the interview process. Experience with infrastructure automation and distributed systems design Experience developing tools for running large scale private or public cloud systems in production In depth knowledge of Linux systems and Containers A track record showing a good balance between initiating your own projects, convincing others to collaborate with you and collaborating well on projects initiated by others. <

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&#43; 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

We are seeking a Linux Systems Engineer to join our Infrastructure Engineering team, dedicated to supporting high-performance EDA compute farms. You will be responsible for designing, deploying, and maintaining enterprise-grade Linux environments across RPM-based distributions, optimized for the high-throughput requirements of EDA workloads. You will drive automation initiatives, and build robust tooling to support a highly available and scalable infrastructure. What you'll be doing: Linux Infrastructure Engineering: Maintain, tune, and secure mission-critical Linux operating systems across production and non-production environments. End-to-End Automation: Lead infrastructure configuration management and continuous deployment workflows using Infrastructure as Code, e.g. Ansible and Terraform . Tooling Development: Write high-quality, maintainable code in Python, Bash, or Go to automate repetitive operational tasks and integrate infrastructure telemetry. Naming & Storage Services: Manage Linux Naming Services (LDAP/SSSD) and networked storage (NFS, Autofs) environments to support high-performance EDA workloads. What we need to see: Linux Internals: 8&#43; years of deep systems engineering experience working with RPM-based Linux distributions. Bachelor's degree or equivalent work experience. Infrastructure as Code: Strong track record of automating end-to-end multi-tier infrastructure configurations and managing centralized deployments. Experience with more than one configuration management system is a bonus. Virtualization and Container Architecture: Deep understanding of virtualization and container internals

Job Requisition ID # 26WD100979 Position Overview We are seeking an experienced product and technical marketing professional with a mechanical design and engineering background to support and expand the Fusion design portfolio in EMEA. Autodesk Fusion brings CAD, CAM, CAE, PCB, PDM, and PLM together on one cloud platform at a price that puts professional tools within reach of every engineer and every shop. EMEA is home to some of the world’s most demanding design and manufacturing customers, and they don’t buy generic messaging. They buy from people who understand their workflows, their tools, and their constraints. You will own messaging and positioning for Fusion design in the region, develop technical assets, and produce enablement content that empowers our go-to-market teams to win against entrenched incumbents such as SolidWorks, Inventor, Onshape, NX, and Creo. This role requires someone who has worked as an engineer or designer, understands how products are modeled, simulated, documented, and released to manufacturing, and can translate technical capabilities into compelling business value. Ideal candidates will bring an experimentation mindset and continuously find ways to use AI to scale themselves and the team. Responsibilities Product Marketing Own the Autodesk Fusion design story and point of view for EMEA, including AI-enabled design workflows, adapting the global narrative to regional segments, industries

NVIDIA is seeking a Senior Firmware Engineer to join our CSP Engagements team, focusing on system software for Datacenter products such as GB200. This role combines deep technical expertise in embedded firmware development with customer-facing responsibilities to enable cloud service providers with next-generation computing platforms. You will work at the intersection of hardware and software, driving technical solutions from concept through deployment. What you will be doing: Design and develop firmware solutions for manageability and observability of data center servers. Actively participate in hardware bring-up activities, OOB firmware development, protocol stacks (Redfish, PLDM, MCTP, NSM) and hardware-software co-design for Cloud Service Provider deployments. Debug and troubleshoot NVIDIA GPU firmware issues, power management, performance, and thermal control problems for data center deployments, providing active support to CSPs. Partner directly with CSPs to deliver technical solutions, co-develop & co-debug features and optimizations, and provide support during new product introductions. Perform advanced system debugging, root cause analysis, and performance optimization for large-scale data center environments. Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. What we need to see: Deep expertise in data center server architectures, HPC systems, and hardware-software co-design. Deep expertise in embedded firmware, server management controllers, and hardware bring-up with proven track record of shipping production BMC solutions Strong knowledge of DMTF protocols (Redfish, IPMI, PLDM, MCTP, SPDM), telemetry frameworks, and out-of-band management architectures Expert-level skills in C/C&

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Senior Project Manager - Specific to Confidential Project in Boyers, PA - Onsite 4-5 Days/Week What this job involves: Lead the end-to-end delivery of the program’s most complex, highest-value, and highest-profile mission-critical and data-center infrastructure projects. This is a project-level leadership role for the largest and most technically demanding engagements — projects where the technical scope, financial exposure, schedule risk, and client profile demand the deepest level of experience and commercial command. The Senior Project Manager owns performance across cost, schedule, scope, procurement, and client outcomes for their assigned projects, directs PMs, APMs and Project Coordinators supporting those projects, and operates as the primary point of accountability to the client and internal leadership on every engagement they carry. Your day-to-day tasks will include: Lead full project delivery on the program’s most complex and highest-value engagements, owning all performance outcomes across cost, schedule, scope, weekly OAC meetings, quality, and client satisfaction. Coordinate and direct the work of APMs and Pro

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years, fueled by incredible technology and amazing people. Today, we're using the power of AI to define the next era of computing, with our GPU acting as the brains of computers, robots, and self-driving cars. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. NVIDIA is hiring a Staff Engineer to build the company's Enterprise Data Governance platform. This platform spans sensitive-information protection, governed data access across every collaboration and content system at NVIDIA, and the knowledge infrastructure that makes our enterprise AI trustworthy and accurate. What makes this role genuinely hard is the tension at its core: AI agents need broad, deep access to enterprise knowledge to be useful, while export controls, legal constraints, and security policy demand precise, auditable access control. Getting both right, across dozens of systems and one of the most complex enterprise environments in the industry, is the problem this team is solving. We are looking for technically strong engineers across the senior to principal level who thrive on hard infrastructure problems and want to own work that is central to how NVIDIA operates at scale. What You Will Be Doing: Sensitive Information Protection Own the roadmap for sensitive-information detection and remediation, working with Finance, Legal, and Security to define classification models, remediation workflows, and reporting that leadership can trust. Evaluate and integrate ML-based classification approaches to detect sensitive content across unstructured data at scale, and iterate on precision and recall as the data landscape evolves. Governed Dat

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. Responsibilities of your team will include, but are not limited to: 1. Contributing to the development of new DRAM, emerging memory products and IP’s by enabling the overall design, layout, and optimization of Memory/Logic/Analog circuits 2. Supporting design validation & verification, reticle experiments and required tape-out revisions 3. Performing verification processes with modeling and simulation using industry standard simulators 4. Contributing to cross group communication to work towards standardization and group success 5. Working with Marketing, Probe, Assembly, Test, Process Integration, and Product Engineering groups to ensure proper manufacturability of product 6. Proactively solicit inputs from Standards, CAD, modeling, Technology Development groups to ensure the design quality and reliability 7. Driving innovation into the future Memory generations within a dynamic work environ

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables unique creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. You will design and build the next-generation architecture and software for managing storage services to support our engineers, architects with NVIDIA GPU design, VLSI, Corporate, and AI/ML teams. You will build the self-service architecture and capabilities to enable NVIDIA GPU design teams and handle services that are very critical for all NVIDIA users that require 24/7/365 availability and support. Your duties will involve leading and supporting the design of storage platform software services that not only impact revenue but also form the backbone of NVIDIA engineering infrastructure services and various business applications. What you’ll be doing: Define, Build, and manage an all-encompassing Enterprise software engineering platform to manage storage infrastructure and services consisting of a variety of enterprise appliances, networks, and open-source technologies Design and expand REST API’s that thousands of engineers will rely on for on-demand storage management to manage their workflows. Build and Integrate provisioning, metrics, monitoring, and software to enable management workflows for storage services. Develop tooling to automate deployment and management of large-scale design-storage environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources. Document the

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&#43; years of relevant work experience or MS with 5&#43; years of experience or PhD with 2&#43; years of experience Strong programming ability: C&#43;&#43;, C along with a good understanding of build systems (CMAKE, make), toolchains (GC

Work Flexibility: Hybrid Stryker is seeking a Senior Product Safety Engineer who is passionate about developing safe, high-quality medical devices, enjoys solving technical problems while collaborating with cross-functional teams. This role offers an opportunity to build expertise in product safety during medical device development. What You Will Do: Work with Research and Development (R&D) teams to define and implement a product safety program plans for large, complex development programs for the Product Engineering business unit within Stryker Instruments.​ Creates product safety test plans and ensures that the plans can be completed and meet the needs of 3rd party certifier’s requirements with respect to our internal product safety testing. Apply advanced circuit and electrical system test methods Conduct or design prototyping and bench testing Conduct problem solving, identify potential solutions, and evaluate them against component and sub-system requirements Conduct research and studies to support product design Translate design inputs to engineering specifications and produce component and sub-system level designs Independently create or refine engineering documentation, such as the Design History file What You Need (Required Qualifications): Bachelor's degree in EE or related discipline and 2&#43; years of work experience Preferred Qualifications (Strongly Desired): Working knowledge of electrical design process, electrical components, and manufacturing methods Ability to interpret, analyze, and test electrical designs Proficiency with design and concept generation CAD, CAE, or simulation tools Ability to apply analysis tools and statistical methods Knowledge of system components a

Senior/Staff Test Engineer — Singapore. Apply via Workday.