Automation Mechanic

NVIDIA Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, cables, and software to support networking technologies. Our products optimize Data Center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of sectors including high performance computing, enterprise, Data Center, cloud computing and Web 2.0. We are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry. Our product line is focused on delivering the most optimized Ethernet solutions for industries like Media and Entertainment as well as any other industry that can benefit from our DataStream and TCP/IP acceleration. What you will be doing: Drive multiple early-stage design concepts of Test Equipment & fixtures while working in fast-paced product development cycles. Independently lead Test Equipment & fixtures design from concept, through detailed design, and support it during Bring-up, Qualification and Mass-Production phases. Participate and lead design and design reviews of Test Equipment & fixtures by using our CMs (Contract Manufacturers) as the designers Collaborate in research of groundbreaking technologies, materials, and processes with other groups to bring in creative ideas that address evolving needs. What we need to see: B.Sc. in Mechanical Engineering or higher degree. 5+ years of experience in classical mechanical design of mechanisms, jigs, fixtures, products and machines development. Knowledge and experience in automation (pneumatics XYZ motion systems, etc) and in design of machining and sheet metal parts Knowledge and experience in static analysis and simulations.

Director - Automation Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory , our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn , YouTube , X , and Facebook . Job Description <p style="color:!impo

NVIDIA is seeking a QA Engineer to join our Cloud Testing team. As part of the broader QA organization, you’ll focus on testing the software layer that enables NVIDIA’s products to achieve industry-leading benchmarks in performance and quality. This role involves hands-on testing of cutting-edge cloud and networking features, learning new technologies, and contributing to both manual and automated validation efforts. What You’ll Be Doing: Design, develop, and execute test plans for new features across software and update releases Identify and report bugs, assist in reproducing issues, and collaborate with R&D to isolate root causes and validate fixes Perform a variety of tests including functional, regression, performance, and security testing Analyze network flows and debug issues through log and system analysis Develop automation scripts and contribute to building scalable test infrastructures What We Need to See: Practical Engineer / BA / BSc in Computer Science or a related field 1–3 years of relevant work experience Proficiency in scripting and automation languages such as Python, PyTest, or Bash Strong hands-on experience with Linux systems Ability to work independently, take ownership, and execute tasks effectively Willingness and availability to work with physical lab setups Strong verbal and written communication skills in English Ways to Stand Out from the Crowd: Experience with containerized environments (Docker, Kubernetes) Familiarity with DevOps practices and CI/CD pipelines using Jenkins or GitLab Understanding and experience with Agile and Scrum methodologies A collaborative team player with a proactive and leadership-oriented minds

The team + the role The Mobile SDK team at Pendo develops and maintains the Pendo mobile product — our native SDKs for iOS and Android, along with integrations across React Native, Flutter, MAUI, and CMP. We work deep in OS internals, maintain rigorous automation and release pipelines, and collaborate closely with customers to ensure their success with the product. A single defect in our SDK can affect thousands of host applications, so quality isn't a value we aspire to — it's the baseline we ship against. Pendo's mobile SDK enables businesses to collect detailed analytics and visual session replays on user behavior within their mobile applications — without extensive coding. That data helps customers understand how users interact with their apps and enables delivery of targeted in-app messages and guides that improve experience and drive adoption. As a Software Engineer on this team, you'll work on a product that is technically demanding, customer-visible, and genuinely consequential. You'll use AI coding tools as a core part of your workflow — and apply the same engineering rigor and review discipline to AI-generated code as you would to anything written by hand. This role is based in Herzliya, Israel and follows Pendo's in-office model: in-office 3 days per week. What this looks like day-to-day Design, implement, and maintain new SDK features, ensuring seamless integration with the broader Pendo mobile product across iOS and Android. Dive deep into OS internals to optimize performance, troubleshoot issues, and ensure the SDK functions correctly across all supported devices and OS versions. Contribute to SDK development across mobile frameworks — Flutter, React Native, MAUI, and CMP — ensuring compatibility and performance in each environment. Use AI coding tools (Cursor, Claude Code) as a core part of your daily workflow; apply strong engineering judgment and review rigor to AI-generated code before it ships, holding it to the same bar as hand-written code. Writ

As a Software Solution Architect, NVIS at NVIDIA, you will lead the transformation of AI infrastructure. Our NVIS team focuses on developing the next generation of NVIS Central, an agentic software platform with tools, services, and AI agents that automate, simplify, and speed up the work of our delivery organization. This role offers an outstanding chance to create and build LLM-powered agents that improve execution visibility, cut down manual tasks, and standardize workflows. These efforts allow NVIS to grow quickly and with high quality. Join us to bring up, validate, optimize, and upgrade large-scale AI Factory infrastructure for some of the world’s most advanced accelerated computing environments! What you'll be doing: Compose, build, and productionize agentic AI solutions, tools, and applications for the NVIS delivery organization. Develop LLM-based agents, skills, tool-calling workflows, orchestration logic, backend services, APIs, data pipelines, and automation features as part of NVIS Central. Translate field, delivery, operations, and product needs into clear technical builds, agent workflows, and working software. Develop agents that can reason across project data, knowledge bases, operational systems, logs, reports, and delivery workflows. Build workflows that help NVIS teams identify risks, summarize project status, automate repetitive tasks, improve readiness visibility, and simplify handoffs. Work with timely engineering, retrieval-augmented generation, context management, agent memory, function calling, evaluations, and guardrails to build reliable AI systems. Integrate LLMs and agents with internal systems, project data sources, knowledge repositories, reporting tools, and operational workflows. Collaborate closely with software developers, architects, product managers, DevOps/SRE, and NVIS field teams to

Skeletons, lasers, tattoo buses — the Torq brand grabs attention like nothing else in cybersecurity. And we're growing like crazy, backed by Series D funding, 200% employee growth, and 300% revenue growth. Fueling Torq's momentum is our game-changing AI SOC platform, backed by a team and culture that makes Torq one of Forbes' Best Startup Employers in America, and a Business Insider 'startup to bet your career on'. Life at Torq is all gas, no brakes. We're a team of relentless, collaborative go-getters pushing the boundaries of what's possible for security automation. Every role is an essential driver of Torq's success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500. We're looking for a Production Operations Engineer to join our fast-growing company at a breakthrough stage, as we build our dream team with the most passionate and professional people in the industry. Our team thinks differently and quickly, delivering high-quality, innovative solutions with the latest technologies - and we never forget to enjoy the ride along the way! This is a role for someone who owns production stability end to end and knows that the best fixes often happen through other people. You won't be the one writing every manifest or resolving every incident yourself - you'll be the one who sees what production needs, sets the direction, and makes sure R&D teams follow through. What You'll Be Doing: Owning production stability: Act as the go-to person for the health of our production environments, proactively identifying risks before they become incidents. Owning the incident process: Make sure incidents are properly tracked, follow-ups are driven to completion, and R&D teams write and own their postmortems - turning lessons into lasting improvements rather than letting them slip. Driving change across R&D: Partner with engineering teams to define the reliability and operational improvements production needs, and make sure th