Automation Engineering Apprentice Jobs

Toradex is a global company strongly focused on engineering & technology. We’re powered by a diverse & uniquely gifted workforce. We pursue the best people to propel our innovative vision of embedded computing and IoT. If you’re interested in being a driving force at an agile technology company, engineering clever computing solutions & helping other companies bring their products to life, we should talk. Description We are looking for a DevOps Engineer to strengthen our cloud operations and engineering practices, with a focus on reliable website delivery, secure AWS foundations, and fast but controlled delivery of new services. The position combines AWS operations, infrastructure as code, CI/CD, automation, and pragmatic software engineering. The person should be confident working with services for edge delivery, compute, storage, databases, DNS, security, and observability without relying on manual console changes as the default operating model. The role also supports on-premises to cloud migration, global service optimization, and practical responses to increasing AI-driven traffic. We value candidates who can use modern AI-assisted development effectively to spin up proof-of-concept projects quickly, while still applying disciplined Git, review, security, and deployment practices. About you You enjoy building stable, secure, and maintainable infrastructure that supports business-critical services. You can work independently and take ownership of cloud environments, deployments, and operational improvements. You are comfortable balancing speed, reliability, cost, and security when making technical decisions. You communicate clearly with technical and non-technical stakeholders and explain trade-offs in a practical way. You document your work well and create clear runbooks and support material for future maintenance. You are methodical when troubleshooting incidents and stay calm when systems are under pressure. You are curious about modern traffic patt

A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO • Create and execute automated and manual test cases to ensure optimal system performance according to specifications. • Work closely with software development and support teams to deliver high-quality applications in a timely manner. • Develop and maintain comprehensive test plans, including manual and automated tests for functional, regression, and integration testing. • Build consensus between stakeholders and developers to define clear and testable acceptance criteria. • Document quality assurance and process flows, both existing and proposed. • Advocate for best quality assurance practices and testing techniques. • Ensure any new software changes meet business, legal, compliance, and technical requirements. • Develop and maintain test automation frameworks for various applications in trading domains. • Maintain and track quality assurance capacity, velocity, statuses, and deliverables with the team lead. WHAT’S REQUIRED • 5+ years of experience in quality assurance with test automation, software engineering, or business analysis roles. • Comprehensive expertise in processing trades, managing trading and lifecycle events, handling corporate actions, and managing cash flows. • Experience supporting fixed income products, Equities and Treasuries. • Solid understanding of position management for listed and OTC products. • Understanding of SDLC, Test lifecycle, and testing methodologies. • Experience creating and writing SQL que

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that deliver the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing some of the world's most transformative technologies. Our AI Engineering Campus in Austin plays an important role in building the future of AI computing. The Opportunity As Technical Services Director, you will lead the teams that operate and evolve Graphcore's engineering labs, high-performance computing (HPC) platforms, and data center environments globally. You will be accountable for reliable, secure, cost-effective infrastructure that supports demanding engineering, AI, silicon-development, and validation workloads. This role combines people leadership, infrastructure strategy, operational excellence, capacity and financial planning, procurement, and program delivery. You will partner with Engineering, Information Technology, Security, Finance, Facilities, Supply Chain, customers, and external suppliers. The position is based onsite in Austin and requires travel to company facilities, data centers, and supplier locations, including international travel. What You'll Do Lead, recruit, mentor, and develop the systems administration, lab operations, and technical services teams responsible for the facility supporting global Engineering and Research and Development. Own the reliability, efficiency, protection, safety, supportability, and continuous improvement of engineering labs, HPC systems, and infrastructure facilities. Establish service levels, operating standards, escalation paths, performance measures, monitoring, observability, automation, ticketing, and configuration-management practices. Translate engineering and customer requirements into infrastructure roadmaps, capacity p

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for an experienced System Level Test Engineer to join our Product Test and Diagnosis Department (PTD). In this role, you will lead the development and deployment of System Level Test (SLT) solutions for next-generation AI processors. Working closely with cross-functional teams, you will contribute to the design and implementation of SLT hardware, software, automation, and characterization solutions that support silicon bring-up, yield learning, manufacturing readiness, and production deployment. The ideal candidate will possess strong technical depth in semiconductor test and validation, a passion for solving complex engineering challenges, and a strong focus on product quality and manufacturability. The Team The Product Test and Diagnostics team’s role is to detect and manage hardware defects that arise from the manufacture and use of our products. This covers chips, boards and finished systems and takes place both in the manufacturing sites and in the field. Responsibilities and Duties Lead development and deployment of SLT hardware and software solutions supporting silicon bring-up, charac

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Role Overview We are looking for a high-ownership Project/Program Manager to lead AI-led transformation initiatives across the Lending Collections ecosystem. This role sits at the intersection of Business, Product, Technology, Data, and AI. The ideal candidate should be equally comfortable understanding a business problem, translating it into a structured product/technology requirement, driving engineering execution, and taking the initiative all the way to production and measurable business impact. This is not a traditional project-management role. We are looking for someone who can own the problem statement, bring structure to ambiguity, drive stakeholders, and turn AI opportunities into production-grade solutions. Key Responsibilities 1. Business Requirement & Problem Discovery Work closely with Business and Collections stakeholders to identify operational pain points, automation opportunities, and AI use cases. Conduct requirement-gathering workshops and translate business needs into clear, actionable requirements. Challenge requirements where necessary and bring structure to ambiguous problem statements. Understand lending collections journeys, customer touchpoints, workflows, operational processes, and relevant business metrics. 2. BRD, Workflow & Solution Documentation Create and maintain detailed BRDs, functional requirements, user stories, process flows, workflows, and solution documentation. Define end-to-end process journeys, including inputs, outputs, decisioning logic, exceptions, dependencies, and integrations. Convert business requirements into granular user stories with clear acceptance criteria. Ensu

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. As a Smart Manufacturing Product Owner at Micron Technology, Inc., you will be responsible to enable innovation and new frontier technology for Smart manufacturing to define, drive and deliver end to end smart manufacturing solution, coordinated across functions of the business. The team will look into applying industry-leading the best methodologies in automation, AI and machine learning to improve Micron’s product development, business and administrative processes across the company. You are joining a team where 'we' matter and hold high standards to achieve perfection. Key Responsibilities Lead the development and implementation of AI-driven Smart Manufacturing solutions to improve product yield, quality, test coverage, and system-level performance across Micron's semiconductor operations. Partner with Test Solutions Engineering, Product Engineering, Global Quality, and multi-functional collaborators to find opportunities and drive digital transformation initiatives. Collaborate with Data Scientists, Machine Learning Engineers, Solution Architects, and Data Engineers to define requirements, prioritize solutions, and deliver end-to-end projects. Translate business needs into detailed business requirements, user stories, acceptance criteria, and data requirements while ensuring alignment with enterprise standards and governance. Develop arguments for proposed solutions, including value quantification, analysis of return on investment and net present value, success metrics, and impl

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. Senior Process Analysis Engineer As a Senior Process Analysis Engineer in Micron’s Automation Development group at Taiwan Taichung, you will play a critical role within the Process and Process Integration team to enhance inline defense line effectiveness, improve process control capability, and prevent yield-related excursions through data-driven and AI-enabled solutions. You will take ownership of issue investigation, root cause analysis, Design of Experiments (DOE), and Continuous Improvement Programs (CIP) for critical materials and manufacturing processes. In addition, you will collaborate with cross-functional teams to integrate advanced process control methodologies, AI-assisted analytics, and digital solutions into process flows supporting next-generation high-density memory products. Job Responsibilities Leverage AI-assisted and AI-enabled technologies to improve manufacturing intelligence and decision-making, including applications in Statistical Process Control (SPC), Fault Detection and Classification (FDC), Automated Defect Classification (ADC), Internet of Things (IoT), and Data Analytics (DA). Apply AI-supported analytical approaches to identify process variations, improve inline defense line effectiveness, and accelerate root cause investigation and yield learning. Collaborate with internal and external partners, including Process Engineering, Failure Analysis, Quality, and Manufacturing teams, to correlate Defense Line (DL) signa

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Singapore About the Team In this role, you will be focused on the build out and expansion of our global network. You'll work closely with Cloudflare’s Network Infrastructure planning team, Network Engineering team, Infrastructure automation team, Site Reliability Engineering (SRE) team, Project Managers and with various vendors and partners (including hardware vendors, logistics, datacenter and network providers, and ISPs) to p

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Team We safeguard Okta from threats and vulnerabilities that could disrupt our business or erode our customers’ trust. The Defensive Cyber Engineering organization is responsible for the Security Data Platform, infrastructure, and tooling that enable Okta’s Detection and Response capabilities. The team also manages enterprise security tools and infrastructure that support XDR, DLP, and SSPM capabilities. The Role We are expanding this team to support Okta’s Public Sector roadmap by hiring a Staff Software Engineer in the DC area. You’ll work closely with Security, Business Technology Engineering, and Product teams to implement and manage security solutions, ensuring our core infrastructure applications protect our workforce, endpoints, and corporate data. To deliver on this vision, you will build data and infrastructure platforms by leveraging your software, data, and security engineering skills. You’ll use automation, policy-as-code, and cloud-native technologies to deliver scalable, resilient, and secure solutions. What you bring: 8+ years of strong coding and scripting experience, with a focus on building automation and custom tooling for security engineering teams. Experience with Python is required; proficiency in other languages (e.g., Bash, PowerShell, Go) is a plus. Experience developing and maintaining ETL/ELT pipelines for onboarding security data into Okta’s security data lake. Experience working with security teams to integrate log sou

About the Team OpenAI’s Network Engineering team within IT and Security advances the mission of deploying artificial general intelligence (AGI) for the benefit of all by delivering secure, scalable, and resilient network services. We build and operate the connectivity that supports OpenAI’s offices, labs, campuses, cloud environments, people, and devices. By combining strong network fundamentals with security, reliability, automation, and user-centered design, we enable impactful AI research, corporate operations, and product innovation. About the Role As a Network Engineer at OpenAI, you will design, operate, and continuously improve the global networks that connect our offices, labs, campuses, PoPs, cloud environments, people, and devices. The role spans strategic platform engineering and responsive production operations: you will shape architecture, standards, roadmaps, lifecycle plans, and automation while supporting incidents, escalations, and time-sensitive delivery. Operational signals will inform what we stabilize, simplify, standardize, or automate next. We work backward from user needs, investigate root causes, own outcomes end-to-end, and move quickly without compromising security. We are looking for a versatile engineer who can make pragmatic reliability and security tradeoffs, communicate clearly, and turn recurring operational work into durable platforms, tooling, and standards. You will partner across IT, Security, AppEng, Research, Applied, workplace teams, carriers, and vendors. In this role, you will: Design, implement, and operate secure, scalable enterprise networks across offices, labs, campuses, PoPs, cloud connectivity, and hybrid environments. Set strategic direction for network services through architecture, standards, roadmaps, lifecycle planning, capacity strategy, and measurable reliability outcomes. Own production operations, including on-call, incident response, escalations, and time-sensitive delivery, while protecting user experience,

About the Team OpenAI's Industrial Compute organization is responsible for planning, delivering, operating, and optimizing the compute infrastructure that powers frontier AI. As OpenAI scales toward becoming an intelligence utility, Industrial Compute coordinates a complex lifecycle spanning infrastructure strategy, capacity planning, provider partnerships, fleet operations, product demand, and financial planning. The organization manages one of the largest and fastest-growing compute footprints in the world, where decisions around capacity allocation, deployment readiness, utilization, reliability, and product demand directly impact product availability, customer experience, and business performance. The Capacity Systems team builds the software platforms, data systems, and automation frameworks that connect these functions into a shared operating model. We transform fragmented planning workflows into scalable systems that enable teams to understand what compute was contracted, delivered, healthy, allocated, and ultimately converted into business and research outcomes. About the Role We are seeking a Capacity Systems Software Engineer to build the platforms and services that power Industrial Compute planning, forecasting, optimization, and operational decision-making. In this role, you will design and develop software systems that connect infrastructure delivery, fleet health, capacity allocation, demand forecasting, deployment readiness, financial planning, and product consumption into a unified system of record. Your work will help OpenAI make better decisions about where compute should be deployed, how capacity should be allocated, and how infrastructure investments translate into business value. You will partner closely with Capacity Planning, Fleet Operations, Infrastructure Engineering, Product, Finance, Supply Chain, and Strategic Sourcing teams to replace spreadsheet-driven workflows with scalable software systems that enable visibility, automation, and dec

The Research Engineer – Mechatronics is a hands-on engineering role within the TaylorMade Research & Development team, focused on the design, prototyping, integration, and validation of electromechanical systems that advance golf equipment and player performance. This role demands deep practical expertise in mechatronics, sensor systems, electronic hardware, wiring, and embedded controls, combined with the ability to develop supporting software and user-facing tools. The ideal candidate is a builder and problem-solver who thrives in a laboratory and prototype environment, producing functional systems from concept through deployment. Essential Functions and Key Responsibilities: Design, prototype, wire, assemble, and test mechatronic and electromechanical systems used in golf equipment evaluation, performance measurement, and product development Develop and interpret wiring diagrams, schematics, and electrical specifications for custom hardware assemblies, test rigs, and IoT-connected devices Select, integrate, and characterize sensors (IMUs, load cells, encoders, pressure sensors, optical sensors, etc.) – including defining operating limits, calibration procedures, and signal conditioning requirements Design and implement IoT systems and wireless data acquisition platforms that capture real-time performance data from equipment and players Develop embedded firmware and control software for microcontrollers and microprocessors (e.g., Arduino, Raspberry Pi, STM32 or similar) to drive test automation and data capture systems Write clean, maintainable code to interface with hardware, process sensor data, and build internal and user-facing applications and interfaces; leverage AI-assisted development tools to accelerate prototyping and automate test routines; apply basic computer vision techni

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role As a Senior Platform Engineer at HP IQ, you will help build and evolve the infrastructure, tooling, and shared platform capabilities that enable our engineering teams to develop and operate reliable, secure, and scalable services across cloud and edge environments . You will work closely with application, services, AI/ML, and security teams to improve developer velocity, production readiness, reliability, and operational efficiency across a heterogeneous infrastructure footprint. What You Might Do Design, build, and maintain shared infrastructure and platform capabilities across cloud and edge environments. Build automation and self-service tooling that improves engineering velocity and operational consistency. Develop and maintain Infrastructure-as-Code, deployment workflows, and environment provisioning. Partner with engineering teams on production readiness, including reliability, security, observability, scalability, and recovery. Improve monitoring, alerting, incident response, and operational tooling across distributed environments. Automate repetitive operational t

Are you ready to contribute to world-class innovation and push the boundaries of what's possible? At NVIDIA, you'll have the opportunity to be part of a team that is driving groundbreaking impacts across various markets. As a Thermal Solutions Development Engineer, you will play a pivotal role in our Silicon Codesign Group, transforming thermal solution concepts into lab-ready builds and beyond. What you will be doing: Build thermal solutions for engineering characterization and validation of next-gen GPU/SOC products, ensuring flawless delivery from concept to lab. Drive end-to-end development and deployment of thermal solutions, collaborating with internal teams and external vendors on build requirements, prototype evaluation, test system integration, and software automation. Improve thermal design processes by incorporating feedback and findings, developing workflow and maintaining our world-class standards. Work closely with system architects, chip and board designers, and software/firmware engineers in a dynamic and high-energy environment to bring industry-defining products to market. Apply AI-enabled approaches and AI tools to accelerate design iteration, test planning, and characterization/validation triage (e.g., requirements/spec summarization, experiment prioritization, log/telemetry summarization, anomaly/outlier detection), improving cycle time, coverage, and traceability while validating outputs against physics, specs, and lab measurements. Partner with AI/tooling teams as the thermal domain SME to define use-cases, success criteria, and evaluation methods; provide feedback to improve tool reliability and usability. What we need to see:

Job Details: Job Description: The Role and Impact As a Semiconductor Manufacturing Engineer, you will play a pivotal role in supporting Intel's fabrication facilities through every stage of the product lifecycle. You will ensure the successful development and ramp of high-volume or technology development manufacturing processes by optimizing operations, driving continuous improvements, and resolving complex technical challenges. Your contributions will directly impact factory performance, enabling Intel's ability to innovate and achieve production excellence. Key Responsibilities -Define and implement decision-support tools, methodologies, and operational standards for sequences and processes. -Establish manufacturing requirements, assess technologies, and develop plans and supply chains to enable production. -Analyze current processes to identify improvement opportunities, correct deviations, and enhance efficiency. -Inspect machinery and tools, verify efficiency, and initiate corrective actions for deficiencies. -Analyze factory metrics, identify system enhancements, and drive implementation roadmaps. -Develop and troubleshoot factory reporting systems; collaborate with automation teams to build business systems for performance monitoring. -Partner with operations management, engineering, and automation stakeholders to align strategies with operational goals. -Assist Manufacturing Operations Managers in achieving output targets and resolving operational challenges. -Create and distribute manufacturing documentation for product design, configuration, and build requirements. -Define and drive automation systems and station controller capabilities aligned with product roadmaps. Qualifications: Minimum Qualifications - Bachelor's degree in a relevant technical or engineering field, such as