Development Engineer 5 Jobs

NVIDIA is searching for a highly motivated, creative engineer with experience in system and AI software to join the GPU System Software team. As someone who is hardworking and passionate about their work, you will design key aspects of our production GPU kernel drivers, embedded SW and SOC platforms. You should demonstrate the ability to excel in an environment with complex software and hardware designs. What you'll be doing: Define, design, develop and verify features for our new SoCs platforms, collaborating with hardware engineers and fellow software engineers. Follow the new SOC platforms all the way through the development process to the customer products that are used throughout the world. Be heavily involved with the early firmware, performance, power management, and all of system software required to produce our world-class products. Have multiple opportunities to collaborate and communicate effectively with teams across the globe. What we need to see: BS, MS or PhD degree in Computer Engineering, Computer Science, or related degree, or equivalent experience. Strong C programming, C++, low-level driver, SOC system platform experience , and AI software design, arch and optimization. Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals. Kernel experience with Linux, Android, Chrome, or Windows systems. Experience with complex

We are looking for a talented Senior System Software Engineer to help build NVIDIA Halos, our full-stack safety critical platform for physical AI: autonomous vehicles, humanoids, industrial robots, and intelligent machines that sense, decide, and act in the real world. This role is equally grounded in ISO 26262 functional safety engineering and embedded systems, rich operating systems, virtualization, accelerated computing. If you have a good understanding of System Software development on Real Time OS (RTOS), ARM architecture, Virtualization, and experience with ISO 26262 safety lifecycle, we want to hear from you! We are a leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing, and autonomous vehicle and robotics safety platforms. NVIDIA gives automakers, tier-1 suppliers, automotive research institutions, and startups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for autonomous vehicles. Our unified computing architecture makes it possible to train deep neural networks in the data center on the NVIDIA DGX™, and then seamlessly run them on NVIDIA's Halos platform inside the vehicle. Leading vehicle manufacturers, tier 1 suppliers, mapping and simulation companies, software and sensor providers, and startups around the world are developing on the NVIDIA Halos® platform to deliver the best solutions for the new world of mobility. As a System Software Engineer, you will get an opportunity to work on high-performance NVIDIA edge AI platforms running complex mixed-criticality software stacks across QNX, Linux, hypervisors, safety partitions, accelerators, and real-time AI workloads, and work alongside industry experts in diverse teams and projects. <

We are seeking a Front-End Integration Engineer for the NIC Silicon group. Join our team at NVIDIA's Networking business unit and be part of the innovative build and implementation of the next generation Network Adapter Silicon chips. Contribute to the development of powerful communication devices. What You'll Be Doing: Own and maintain Continuous Integration pipelines. Monitor, complete, and fix daily and nightly CI flows in front-end build areas. These include Lint, Synthesis, Equivalence Checking and Simulation. Automate EDA Flows: Build, develop, and maintain robust automation scripts using Python, Tcl scripting, and Shell to integrate EDA tools (Synopsys, Cadence) into automated build pipelines. Manage Perforce Integration: Maintain multi-IP branch/stream strategies, manage workspace specs, complete hardware build drops, and handle release labels/tags in Perforce (Helix Core). Support Engineering Teams: Act as the primary point of contact for RTL and verification engineers to debug flow crashes, bottlenecks, environment setups, and CI failure reports. Enforce Quality Gates: Implement automated check-in and change list triggers to run sanity checks, linting, and style enforcement before code is committed to main streams. Optimize Infrastructure: Monitor compute farm resources (LSF) and storage usage to reduce pipeline runtime and improve overall execution efficiency. What We Need to See: Experience: 2&#43; years of hands-on industry experience in ASIC/SoC front-end integration, CAD, or EDA flow automation. Education: Bachelor’s degree or Master’s degree or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Perforce Expertise: Strong hands-on experience managing Perforce (P4 / Helix Core) streams, workspace specs, c

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

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&#43;&#43; 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&#43; years experience in a related hardware/software position Strong C/C&#43;&#43; 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