Senior Apprentice Programme Manager Jobs

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+ 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

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+ 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.

Senior HPC Architect, Automation and At-Scale Deployment — 13 Locations. Apply via Workday.

Senior Infrastructure Automation Engineer, Compute Platform — 2 Locations. Apply via Workday.

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 About the Team Logistics Service Providers (LSPs) sit at the center of global trade. Freight forwarders, customs brokers, carriers, and 3PLs touch millions of shipments and connect shippers, suppliers, and governments. The LSP Platform team builds the products that let these companies run on Altana's network, so they can screen and clear shipments faster, protect their customers from risk and delays, and offer new trade intelligence services to the shippers they serve. About the Role As an Agent Product Manager, you'll be working closely with our strategic LSP customers in-country, working from their offices, alongside their brokers, compliance analysts, operations leads, and IT teams. You are the product owner for Altana within the account: you understand how their business actually runs, decide what Altana should do for them, and make sure it gets deployed, adopted, and expanded. You'll partner closely with our Technical Account Managers to set the strategic direction and roadmap for each account. Together, you'll define where Altana fits in the customer's operations today, where it should go over the next 12 to 24 months, and what it takes to get there. You own the product vision for the account and the outcomes it produces. You Will Work onsite with customers. Spend significant time at customer sites, learning their business models, operations, and customer relationships across forwarding, brokerage, and carriage, including the workarounds nobody writes down. Build a deep understanding of LSP business models, operations, and customer relationships across forwarding, brokerage, and carriage, and turn that into clear product priorities. Set success metrics tied to customer impact, such as fewer holds and detentions, faster clearance, lower compliance co

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role At Sentry, Support is an engineering discipline. Our customers are developers, and they expect answers from people who can read their stack trace, open the SDK source, and tell them what's actually wrong. We're hiring a Senior Manager to lead Support Engineering. You'll run the team that handles everything from a single developer's SDK question to a production incident at one of our largest enterprise customers. You'll also help drive how we use AI in support: what systems are used, how they best help customers, enable the teams, and how we know the answers they give are right and forward looking. This is a hands-on leadership role. You'll manage people, set the support strategy, get face to face time with customers, while also getting into tickets when it matters. In this role you will Lead and grow the team Manage and coach a team of Technical Support Engineers Set clear expectations for technical depth, response quality, and ownership, and give direct feedback Design a coverage model that works across time zones, including on-call and escalation paths Build career paths for Support Engineers who want to go deeper technically, move into management, or move into different teams and practices Own support outcomes Own and report the team's core metrics: CX, time to resolution, escalation rate, and more Use support conversations as a signal: find the top drivers of tickets and get them fixed in the product, the docs, internal operations, or the SDKs, not just answered faster Run AI-assisted support Own the roadmap for our support agents: which request types they handle, what context they need, and when they hand

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 The AI Deployment team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, deploying agentic AI into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. This role leads that team. You Will Lead and grow a team of AI Deployment Engineers Hire, coach, and grow a team of AI Deployment Engineers — set expectations, give direct feedback, and develop careers Own team capacity and staffing across a portfolio of customer implementations, matching engineers to accounts by skill, delivery risk, and development goals Establish the team’s operating rhythm — planning, reviews, and retrospectives that keep multiple implementations on track at once Build a culture of ownership, technical rigor, and adoption-focused delivery, where “done” means the customer is using it in their process, without us in the room Create the conditions for the team to move fast safely: shared playbooks, reusable tooling, and clear standards for deploying agentic systems in production Own the mission across your portfolio Own delivery outcomes across every account your team touches: agentic AI in production, adoption, and changing decisions on the customer's side Set and defend the roadmap across implementations — sequencing by customer value and delivery risk, and making explicit cal

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 The AI Deployment team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, deploying agentic AI into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. This role leads that team. You Will Lead and grow a team of AI Deployment Engineers Hire, coach, and grow a team of AI Deployment Engineers — set expectations, give direct feedback, and develop careers Own team capacity and staffing across a portfolio of customer implementations, matching engineers to accounts by skill, delivery risk, and development goals Establish the team’s operating rhythm — planning, reviews, and retrospectives that keep multiple implementations on track at once Build a culture of ownership, technical rigor, and adoption-focused delivery, where “done” means the customer is using it in their process, without us in the room Create the conditions for the team to move fast safely: shared playbooks, reusable tooling, and clear standards for deploying agentic systems in production Own the mission across your portfolio Own delivery outcomes across every account your team touches: agentic AI in production, adoption, and changing decisions on the customer's side Set and defend the roadmap across implementations — sequencing by customer value and delivery risk, and making explicit cal

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking to hire a qualified and experienced Senior Accountant to its Accounting Operations team in Mexico. This is a crucial role that will assist in overseeing accounting operations in a fast paced environment. The candidate should expect to leverage current skillsets while also focusing on learning quickly and adding value to the current processes. Responsibilities: Month-End Excellence: Assist in executing the monthly close process and prepare reconciliations across various accounting teams to ensure timely and accurate reporting. Process Optimization: Collaborate to streamline and enhance accounting operations, reducing the close cycle duration and driving efficiencies. Documentation & Controls: Assist in documenting and implementing scalable accounting processes and robust internal controls aligned with best practices and compliance standards. Balance Sheet Insights: Conduct flux analyses for specific balance sheet accounts, identifying trends and providing meaningful insights. Audit & Compliance Support: Partner with internal and external auditors by preparing necessary documentation and offering ongoing support throughout the audit process. SOX Leadership: Contribute to ensuring compliance with SOX requirements for accounting operations, helping to strengthen the internal control environment. Ad-Hoc Projects: Take on special projects in Accounting/Finance, working crossfunctionally to solve complex challenges and deliver impactful results and automations. Experience: Language Proficiency: Fluent in English, with excellent verbal and written communication skills. Technology Skills - Strong quantitative and qualitative analytical skills – must have significant experience in Microsoft and Google applications; Oracle is strongly prefe

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Role overview We are looking for a Senior Backend Engineer to help build and evolve our new Common case-management system, which powers support-case handling across DoorDash, Wolt, and Deliveroo. You will own significant end-to-end initiatives across our backend services: case lifecycle, routing and assignment, queue management, case evidence and history, and migration from legacy systems. This is a hands-on role for someone who can turn ambiguous customer and operational problems into durable technical solutions, coordinate other engineers, and set the standard for reliability and craftsmanship on the team. What you’ll do Lead one or more project-level Case Management initiatives, on your own or by guiding a group of engineers, from discovery and design through rollout, measurement, and operational ownership. Design and build scalable backend services and APIs for case creation, routing, assignment, transfers, audit history, notes, attachments, and queue-management workflows. Help deliver feature parity with legacy platforms while safely migrating traffic across DoorDash, Wolt, and Deliveroo. Make and own most technical decisions within your scope. Write project-level design documents covering how sub-features interact, identify dependencies and risks, and break work into parallelizable delivery plans. Scope ambiguous customer and operational problems, weigh long-term against short-term trade-offs, and design durable solutions. Partner with Product, Operations, Support, Data, and other engineering teams to define the right problems. Shape the team roadmap through prototypes, data analysis, project proposals, and backlog prioritization. Run the coordination a project needs,

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: Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services. WHAT YOU’LL DO: Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces