Development Engineer 4 Rdkv Cpp Jobs

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

Mission Systems Engineers (Associate or Experienced) Company: The Boeing Company Boeing Defense Space & Security (BDS) has an exciting opportunity for Mission Systems Engineers (Associate or Experienced) to join our Experimental Systems Group (ESG) located in Seal Beach, CA; with options to work from Aurora, CO or El Segundo, CA ; to support development of new first-of-kind space vehicles and missions. ESG supports a variety of government customers spanning technology domains, and is an extremely fast-paced, responsive development environment delivering new capabilities to customers rapidly and affordably. The ESG portfolio consists of a range of platforms and technologies including the X-37B, the world’s first fully autonomous reusable spaceplane, which is continuing to shape the future of space technology while flying its eighth mission. As a mission systems engineer, you will be expected to lead modelling and simulation efforts and enable your assigned programs’ development from early capabilities studies through demonstration. You will serve as a core point of contact for customers and will work directly with subject matter experts across the business to quickly iterate and converge on achievable solutions that meet our customers’ needs. Our development timelines are aggressive, and you will be asked to develop solutions to previously unsolved problems. In this role, you will work in multidisciplinary teams to bring concept of operations to fruition in support of our customers’ mission objectives. You will work both as an individual contributor and as a product lead. An ideal candidate has a strong technical background across all spacecraft subsystems with particular depth in Attitude Control Systems (ACS)/Guidance Navigat

We are seeking software engineers to work on next-generation graphics and computing products. Our charter is to build the most stressful set of applications a GPU or high performance computing server would see in its life cycle. The best candidates will have strong C++ programming skills, thorough knowledge of graphics concepts and algorithms, a solid foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation PC/hardware architecture. Excellent communication skills and a dedication to meticulous engineering practices are a requirement. As a system software engineer, you will extensively use your knowledge of operating systems, algorithms, and computer architecture to provide robust and efficient solutions to validate and test next generation processors. What you'll be doing: Working closely with architecture, hardware and driver teams through the product development lifecycle of computing and graphics processors, as well as compute products. Responsible for crafting software tools and infrastructure required for new chip development, validation, and productization. You will assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and OpenGL extensions. This job will require an understanding of our hardware and software architectures. What we need to see: BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science or equivalent experience 3+ years experience in a related hardware/software position Strong C/C++ programming skills Familiarity with P

NVIDIA is seeking an a PCB Library Engineer to join our PCB Design Infrastructure team. In this role, you will help develop and maintain the PCB library assets used across NVIDIA's Data Center, AI, Networking, Automotive, and Graphics products. Working alongside experienced PCB designers, library engineers, mechanical engineers, manufacturing engineers, and component engineers, you will create and validate component footprints, schematic symbols, mechanical components, panel definitions, and other critical design assets that enable successful product development. This position provides an excellent opportunity to build expertise in PCB design, manufacturing, component engineering, and design automation while supporting some of the most advanced computing platforms in the world. What you'll be doing: Develop PCB footprints, padstacks, schematic symbols, and mechanical library content using Cadence PCB design tools. Review component datasheets, package drawings, and engineering specifications to create accurate design libraries. Support library verification, release, and documentation processes. Partner with PCB design, mechanical engineering, manufacturing engineering, and operations teams to resolve library-related issues. Learn and apply industry standards, including IPC requirements, DFM, DFA, and DFT principles. Support quality initiatives to ensure library content is accurate, manufacturable, and scalable. Participate in continuous improvement and automation efforts within the library environment. Develop a strong understanding of PCB fabrication, assembly, and component technologies. What We Need to See: BS degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Manufacturing Engineering, or a related field or equivalent experience. <p

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Software Engineer - MPG Role • Design and developing new Batch solutions • Architect responsible for Operation solutions • Support and performing test • Operational support to development and maintenance • Design standards for the mainframe Operational setup and documentation • QA on Changes • Proactive support in case of incidents Competence and experience Formal competence / Experience • Knowledge in operating all payments and clearance systems in Nets • Mainframe z/OS operating system • Agile/Scrum • IBM IWS system • JCL • MQ • IMS • DB2 • AQT/QMF • SMS/HSM • XML • Beta92 • RMM (DFSMSrmm) • Connext Direct • Datamanager • Endevor • Product knowledge and connections • SLA’er • GT General competence • Good Danish and English skills, both written and verbal • Good networking in the whole organization Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for

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

Lead RF Engineer - Aperture Architect Company: The Boeing Company Boeing Defense, Space & Security is seeking a Lead RF Engineer – Aperture Architect to serve as the engineering lead for the antennas and apertures on a major air proprietary program. As the Lead RF Engineer – Aperture Architect, you will provide technical leadership and drive technical execution in the development of advanced RF antennas that balance performance across sensing, structural, and low observable requirements. You will be the technical lead for a team of engineers designing and integrating modern RF apertures and antennas. You will work with the IPT leader and IPT Chief Engineer to ensure the team produces a compliant system design. Position Responsibilities: Drives technical excellence throughout all aperture design activities Provides technical leadership and ensures use of best practices across programs Provides oversight and approval of technical approaches, products, and processes. Works closely with program managers, program chief engineers, and other Boeing teams to ensure mission success and prompt resolution of anomalies Provides mentoring and coaching to other aperture design engineers Captures lessons learned and best practices for implementation on future programs Resolves complex problems impacting completion of program milestones Basic Qualifications (Required Skills and Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement <

AI Solution Engineer Description - We are seeking an innovative and results-driven AI Solution Engineer to design, develop, and deploy next-generation AI-powered solutions that transform document workflows, business processes, and customer experiences. This role will leverage technologies such as Artificial Intelligence (AI), Large Language Models (LLMs), Natural Language Processing (NLP), AI Agents, Computer Vision, and Edge AI to create intelligent solutions for enterprise customers. As a key member of the imaging team, you will work closely with product management, imaging and software architects, and development partners to prototype, develop, integrate, and deploy imaging algorithms and scalable AI solutions that deliver measurable business value. You will help identify emerging technology opportunities, translate customer and business requirements into innovative products, and bring new imaging and AI-enabled capabilities to market. The ideal candidate combines strong software engineering skills with hands-on experience in AI application development, image science, machine learning technologies, and cloud-based services. You are passionate about innovation, thrive in a collaborative environment, and enjoy solving complex business challenges through technology. Responsibilities: Design, develop, and deploy AI-powered applications and solutions that improve productivity, automate workflows, and enhance customer experiences. Prototype and evaluate emerging technologies, including Large Language Models (LLMs), Natural Language Processing (NLP), AI Agents, Computer Vision, and Edge AI solutions. Develop intelligent document workflow solutions that leverage AI to extract insights, automate decisions, and streamline business processes. Collaborate with product managers, architects, and engine

Android Framework Engineer Description - Job Summary • This role is responsible for designing, developing, testing, and maintaining software applications that cater to specific user needs or business requirements. The role plans, executes, and monitors software development projects, ensuring they are delivered on time, within budget, and according to quality standards. The role identifies potential risks and challenges in software projects and implement strategies to mitigate these risks for successful project outcomes. Responsibilities • Oversees the software application development projects and team of junior developers. • Allocates resources to complete programming projects, and designing detailed plans to ensure applications are functioning properly. • Provides technical support for the development and implementation of applications dealing with complex high-performance computing systems. • Defines and documents product requirements, user stories, and epics and works closely with the agile team to execute on the product backlog. • Leads multiple project teams of other software applications engineers and internal and outsourced development partners responsible for all stages of design and development for complex products and platforms, including solution design, analysis, coding, testing, and integration. • Manages and expands relationships with internal and outsourced development partners on software applications design and development. • Reviews and evaluates designs and project activities for compliance with applications design and development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk. • Provides domain-specific expertise and overall software applications leadership and perspective to cross-organization projects, programs, and activities. • Drives inno

Work Flexibility: Hybrid or Onsite Stryker is hiring a Senior Quality Engineer to join our Neurovascular division. This is a hybrid r ole based in Fremont, CA . As the Senior Design Quality Engineer , you will be actively involved in Product Risk Management, Post Market Surveillance, Design Control and Product Quality Improvement. You will be involved in a fast-paced mix of short design change efforts and will be responsible for product risk management and adherence to design control requirements throughout the product lifecycle. You will be responsible for ensuring that post market data and feedback is channeled into the risk management system throughout the product lifecycle. You will make regular use of problem-solving tools and statistical analysis to analyze and trend data and provide quality input into technical investigations, perform test method development and validation, design verification, risk assessment and design reviews. You will be responsible for supporting product testing and failure analysis, writing protocols and reports, creating and maintaining risk files and assessing the impact of necessary changes to our products. You will lead initiatives to increase sales and improve the customer experience of our devices. Neurovascular (NV) products push the boundaries of technology to meet ever increasing product performance requirements, making the goal of assessing and demonstrating, safety, performance and compliance an exciting challenge. What You Will Do Develop qualification plans, protocols, and reports for new products, existing products, components, and subassemblies. Execute product testing, inspection, verification, and validation activities to suppor

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. What you’ll do at Jamf: At Jamf, we empower people to be their best selves and do their best work. As a Site Reliability Engineer II, you’ll help us balance development velocity with the reliability our customers depend on. You’ll work with engineering teams to implement how their services are measured, investigate production issues across the stack, and turn what you learn into automation, tooling, and documentation that improves reliability. You’ll use agentic development tools as part of your everyday practice, delegating well-bounded tasks, verifying the output, and contributing to the shared context that makes AI effective for the whole team. This is a hands-on individual contributor role at the intersection of Engineering, Product, Customer Success and Technical Support, where you’ll take ownership of part of your team’s systems, deliver reliability improvements end-to-end within your team and grow toward broader influence. This role if offered as remote in Australia. You may be required to work periodically at a Jamf office or collaborative work location with other Jamf employees in your area for certain events or moments that matter. We are only able to accept applications for those based in Australia and unrestricted work rights in Australia. At this time, we are unable to offer employer sponsorship or support employer-administered work authorisation for this position. # LI -Remote What you can expect to d

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. PagerDuty is looking for a Machine Learning Engineer who is passionate about collaborating with data scientists, product managers and engineers alike. As part of our team, you will help us accelerate the development and extension of products powered by Gen AI and many other shapes of Machine Learning. You’ll be contributing hands-on to the development of the services and pipelines that enable multiple ML/AI features in our product. You will have the opportunity to collaborate with multiple organizations, taking input and guidance from your senior stakeholders and helping bring our initiatives to reality. You’ll succeed by showcasing excellent capacity to manage time, demonstrating emotional intelligence as you navigate stakeholder relationships, and by continuously improving your technical skill set. Key Responsibilities Build and improve the capabilities that enable and accelerate the production of machine learning (ML) and generative AI (genAI) based solutions Partner with data scientists, effectively sharing engineering context and collaborating to support larger initiatives Incorporate the best ava

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. PagerDuty is looking for a Machine Learning Engineer who is passionate about collaborating with data scientists, product managers and engineers alike. As part of our team, you will help us accelerate the development and extension of products powered by Gen AI and many other shapes of Machine Learning. You’ll be contributing hands-on to the development of the services and pipelines that enable multiple ML/AI features in our product. You will have the opportunity to collaborate with multiple organizations, taking input and guidance from your senior stakeholders and helping bring our initiatives to reality. You’ll succeed by showcasing excellent capacity to manage time, demonstrating emotional intelligence as you navigate stakeholder relationships, and by continuously improving your technical skill set. Key Responsibilities Build and improve the capabilities that enable and accelerate the production of machine learning (ML) and generative AI (genAI) based solutions Partner with data scientists, effectively sharing engineering context and collaborating to support larger initiatives Incorporate the best ava

Job Title Design Quality Engineer Job Description Job title: Design Quality Engineer You Role: While positioned within the Business Unit MR, reporting to the Segment OEM & Coils DQE Leader, you will support the Quality, Reliability and Safety of Medical Devices though all lifecycle phases of the medical device. You will contribute to achieve quality objectives as they relate to: Customer Experience, Complaint Rate, and First Past Yield. You will work in an independent Quality & Regulatory organization with key stakeholders during various stages of the design, development and maintenance of the medical device. Representing Design Quality during the execution of new development programs and sustaining activities and interfacing with regulatory affairs Independent oversight of product performance as this relates to Product Quality, Safety and Reliability During (early) Development and Lifecycle Maintenance: Participate in establishing the quality and reliability strategy specific to the product(s) in scope. Involved in quality target setting in Project Charter Act as a product quality lead by defining the activities in the Product Quality Plan to meet product quality targets Contribute to the execution and delivery of results specific to product quality: Review reliability plans , review key quality related requirements , ensure a proper transfer of design specifications to manufacturing and supply chain and service, perform assessment on the design/architecture on suitability for the quality criteria, and review key product related deliverables (Reliability Reports, Reliability modelling for predictive analysis, FMEA’s, Change Point Analysis, etc.) Apply and facilitate Design for Quality & Reliability best practices (FMEAs, ro