Senior Development Engineer 4 Rdkv Cpp Jobs

Senior Java Software Engineer – Developer Company: The Boeing Company The Boeing Company is looking for a Senior Java Software Engineer – Developer to join the Advanced Ground Architecture team located in Herndon, Virginia, Seal Beach, California, El Segundo, California or Colorado Springs, Colorado . This position will focus on supporting the Boeing Defense, Space & Security (BDS) Software Engineering organization. The Advanced Ground Architecture (AGA) software team is dynamic group of software engineers creating the future of Ground support with the extensibility and adaptability to be used across ALL Boeing programs. The software team is executing this vision through modern software technologies (Java, ReactJS, python, CI/CD pipelines) and methodologies (Scaled Agile). AGA is looking for self-motivated high performers to lead and execute the large scope of Java development needed for the program's vision. The ideal candidates will provide software engineering functions for the design, development, and maintenance of complex, multi-tiered application software systems used to support the command and control of space vehicles. The software engineers will work day-to-day with system and test engineers to implement, test, and document new features and improvements for both web services and applications supporting distributed computing solutions. Position Responsibilities: Develops software in conjunction with agile team leadership including participation at agile events Assists in the execution of DevSecOps processes to deliver software baseline on sprint boundaries. Participates in PI planning as an agile team member Engages with users and other engineers

We anticipate the application window for this opening will close on - 29 Sep 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life The Supplier Quality function partners with Contract Manufacturers (CMs), Original Equipment Manufacturers (OEMs), and critical suppliers to ensure the quality, compliance, and performance of externally manufactured products and components. This team works cross-functionally with Research & Development (R&D), Quality, Regulatory Affairs, and Operations to support product lifecycle activities, drive supplier performance improvements, and maintain compliance with applicable quality system and regulatory requirements. This position may be performed remotely anywhere within the United States. Travel up to 15% is required to support supplier audits, supplier performance reviews, business meetings, and cross-functional initiatives. The Senior Supplier Quality Engineer serves as the primary quality partner for strategic Contract Manufacturers and Original Equipment Manufacturers, ensuring supplier processes, products, and quality systems consistently meet Medtronic requirements. This role drives supplier quality performance, supports product and process changes, leads quality improvement initiatives, and provides technical quality guidance across supplier-related activities throughout the product lifecycle. Primary Responsi

Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational ef

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Data Science team works closely with partners from Design, Product and Engineering across Airbnb’s product portfolio. Our work involves 0-to-1 innovation, applying sophisticated modeling techniques to critical Airbnb problems and finding new ways to leverage science for the good of the Airbnb community. Web prototypers work with Data Scientists to identify key questions during the development of these new solutions and build software prototypes that answer them. The work of DS prototyping covers everything from designing the right data visualization to focused explorations that help solve key design questions to broad explorations that help validate ideas. The Difference You Will Make: This role is focussed on partnering with the Data Science team to develop prototypes that show the potential of new data models targeting critical business and user problems. Step change advances in ML/AI have the potential to transform Airbnb, but doing that well requires not just building the right models, but also creating the right experience -- your work will be critical in enabling us to do that. Sophisticated and impactful models are often complex and hard to understand -- by building effective prototypes you can help close that gap and allow innovation to flourish. Your prototypes will enable leadership to make critical and strategic business decisions by demonstrating technical feasibility, suggesting implementation approaches, enabling user studies, and more. A Typical Day: As a web prototyper, you will create prototypes that enable differentiating and industry-leading produc

About the Role: Site Reliability Engineering (SRE) at Tubi is not a traditional operations team. We are a software engineering organization that applies a developer's mindset and toolkit to the challenges of building and running large-scale, distributed systems. Our mission is to engineer resilience from the ground up, enabling our product teams to innovate rapidly while ensuring our users have a stellar experience. We own the availability, latency, performance, and capacity of our platform, and we achieve our goals through a culture of data-driven decision-making, blameless learning, and relentless automation. As a Senior Site Reliability Engineer, you are a hands-on engineer who blends deep software development expertise with a passion for operational excellence. You will be responsible for designing, building, and running the resilient, scalable, and increasingly self-healing systems that power our products. You will apply sound engineering principles to solve our most complex reliability challenges, with a mandate to automate everything, eliminate toil, and write robust, maintainable code. You will be a force multiplier, mentoring other engineers and elevating the site reliability bar for the entire organization. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: System Architecture & Design: Design, build, and maintain scalable, highly available, and fault-tolerant distributed systems. Partner with development teams as a reliability consultant, reviewing designs and influencing architectural decisions to ensure new services are built with reliability, observability, and performance as core principles, not afterthoughts. Automation & Software Development: Write robust, performant, and maintainable code to automate operational tasks, and CI/CD pipelines. Build the internal tools, libraries, and frameworks that enable engineering teams to self-service their

XO Health believes healthcare is fixable. Become part of the community changing the face of the industry. XO Health is the first health plan designed by and for self-insured employers that delivers a more unified health experience for everyone – from those who receive care, to those who deliver it, to those who pay for it. We are growing a multi-disciplinary team of diverse and digitally empowered employees ready to rebuild trust in healthcare through comprehensive and unified transformation. Senior Full Stack Engineer - India (Remote) About the Role : XO Health is seeking a Senior Software Engineer for building applications that enable a Provider’s experience. This position will be responsible for the full stack design, development, testing, documentation, and analysis of features utilizing .Net, Angular, GraphQL, implementing a serverless architecture in AWS. The ideal candidate will be instrumental in designing and implementing solutions that are scalable, performance-optimized and maintainable. Responsibilities: Design, develop, and maintain scalable full-stack applications for a healthcare insurance platform Engage with cross-functional teams to define and implement new features that meet the complex demands of the healthcare sector Ensure application security and compliance with HIPAA and other regulations, focusing on performance and scalability Implement serverless architectures on cloud platforms (Azure, AWS) to optimize backend functionality Utilize modern front-end frameworks (React, Angular, Vue) to create responsive user interfaces Integrate and customize rules engines for automated decision-making and efficiency Employ microservices architecture to enhance application scalability, resilience, and deployment efficiency Utilize GraphQL for efficient and flexible data retrieval, improving the application's data interaction layer Mentor junior developers, f

About Artefact Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. The Role Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from idea to production. You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the front end, the service behind it, the data and retrieval pipelines feeding it, the deployment, and the evaluations proving it works. This role combines deep, certified expertise in Google's enterprise AI stack (Gemini models, Vertex AI, and the Gemini Enterprise agent platform) with the ability to deliver end to end. Beyond your platform specialization, you will be expected to work confidently across the full delivery lifecycle — full-stack development, data engineering, cloud infrastructure, evaluation, and client communication. You will work closely with our clients, with direct exposure from the start, and you will support the professional

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 As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field. The Team The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications. If you're excited about advancing the next gen

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We are seeking a Senior Product Security Engineer to serve as a technical leader and strategic contributor within our Product Security team. This role goes beyond execution — you will drive the evolution of CLEAR’s application security posture by influencing architecture, shaping security engineering processes, and mentoring team members in security and engineering. You’ll lead security initiatives across the organization and help embed security into every stage of our software development lifecycle. What you'll do: Drive security strategy and implementation across all CLEAR products and engineering teams, ensuring consistent protection of customer and business-critical assets. Partner with engineering leadership to align application security initiatives with company-wide technology and product roadmaps, balancing innovation with risk mitigation. Provide technical leadership across CLEAR’s application security initiatives, guiding architecture, design, and development to meet high security standards. Serve as a trusted advisor to cross-functional teams — including Engineering, DevOps, Product, GRC, and IT — enabling secure-by-design practices across the organization. Design and drive implementation of scalable automated security controls and testing frameworks integrated into CLEAR’s CI/CD pipelines. Lead complex threat modeling, architecture reviews, and risk assessments across high-value systems and platforms, driving meaningful security outcomes. Engage with CLEAR's customers to provide insight and support their fraud and ident

Overview: Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services. This is a hybrid position based in Toronto. What You'll Do: Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization

Title: Senior AI QA Engineer Location: Bengaluru (Bangalore) Opportunity: As a Senior AI QA Engineer for our Precision Patient Care Pipeline , you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies . Key Responsibilities: Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations. Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics). Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity. Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation. Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics. Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior. Requirements: 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation. Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems. AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, an

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. <

NVIDIA Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, cables, and software to support networking technologies. Our products optimize Data Center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of sectors including high performance computing, enterprise, Data Center, cloud computing and Web 2.0. We are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry. Our product line is focused on delivering the most optimized Ethernet solutions for industries like Media and Entertainment as well as any other industry that can benefit from our DataStream and TCP/IP acceleration. What you will be doing: Drive multiple early-stage design concepts of Test Equipment & fixtures while working in fast-paced product development cycles. Independently lead Test Equipment & fixtures design from concept, through detailed design, and support it during Bring-up, Qualification and Mass-Production phases. Participate and lead design and design reviews of Test Equipment & fixtures by using our CMs (Contract Manufacturers) as the designers Collaborate in research of groundbreaking technologies, materials, and processes with other groups to bring in creative ideas that address evolving needs. What we need to see: B.Sc. in Mechanical Engineering or higher degree. 5&#43; years of experience in classical mechanical design of mechanisms, jigs, fixtures, products and machines development. Knowledge and experience in automation (pneumatics XYZ motion systems, etc) and in design of machining and sheet metal parts Knowledge and experience in static analysis and simulations.

NVIDIA is looking for an excellent Senior Firmware Verification Engineer for NVIDIA FW PHY verification Group. The person will be part of FW PHY verification of NVIDIA Products. Will closely work with NVIDIA FW PHY development, architecture teams and gain deep understanding of NVIDIA's products and technologies. What you'll be doing: Own the responsibility for delivering Networking features and their verification aspects. Define, develop and maintain verification infrastructure and regression tests suites - make test suites robust, maintainable and easy portable. Work with continuous integration system, regression tools, automate builds, run test suites and analyzing results. Innovate! Bring NVIDIA product to next quality level What we need to see: B.Sc. in Computer Science / Computer Engineering / Electrical Engineering / Communication Engineering 5&#43; year of relevant experience working with established brands Experience with Verification and Automation Programming Knowledge in C and C &#43;&#43;, object-oriented OOP Knowledge in Linux Creative, motivated and value-driven person Ways to stand out from the crowd: Background with C/C&#43;&#43; as well as Git Experience with python Experience with Networking applications and protocols Background with CI methodology & tools (Gerrit, Jenkins etc.) NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best chip design team

About Team The IT SaaS Engineering Team is the backbone of MongoDB's go-to-market operations. We build and run the Salesforce platform — with the automation, security, and governance that Sales Operations, Revenue Operations, Security, and Compliance rely on daily to manage customer relationships and drive business growth. Role Overview Join us as a Senior Salesforce Engineer and take ownership of the CPQ and CLM systems that power MongoDB's quote-to-contract lifecycle. You'll design and build scalable pricing, quoting, and contract automation solutions end-to-end — from first design conversation to production support — working alongside senior engineers and stakeholders across Sales, Deal Desk, and Legal. This is a role for an engineer who enjoys solving hard technical problems, cares deeply about accuracy and compliance in revenue-critical systems, and wants to bring modern, AI-augmented development practices into how enterprise Q2C solutions get built. What you’ll do Design, build, and maintain scalable CPQ configuration (product rules, price rules, bundles, discounting logic) and CLM workflows (clause libraries, approval chains, e-signature integration) Partner with Sales, Deal Desk, Legal, and Finance stakeholders to translate quote-to-cash requirements into secure, maintainable technical solutions Own delivery across the full solution lifecycle — design, development, testing, deployment, documentation, and production support Collaborate with globally distributed engineering teams to deliver reliable, well-governed CPQ/CLM solutions in an Agile environment Drive strong engineering practices across code quality, documentation, release management, and platform governance Identify opportunities to simplify pricing logic, reduce legacy quote template debt, and strengthen the overall Q2C operating model Troubleshoot complex pricing, approval, or contract-generation issues and deliver sustainable, long-term fixes Stay current on CPQ/CLM platform capabilities and appl