Full-stack Engineer

• Collaborate closely with VLSI designers, user-space software engineers, firmware engineers, and system architects.
• Define and implement innovative features for both current and next-generation products.
• Work with the Linux kernel community and contribute work upstream.

Senior Linux Kernel Developer

• Research, design, and develop advanced computer vision (CV, ML, DL, GenAI) algorithms for camera systems and photo enhancement features
• Develop image and video processing, object recognition, and scene understanding algorithms to drive innovation in camera performance
• Research, design, and implement real-time robotic perception pipelines for unstructured environments
• Develop and integrate SLAM, visual odometry, object detection, segmentation, and 3D mapping algorithms using multi-sensor fusion (RGB-D, IMU, LiDAR, etc.)
• Optimize perception and ML models for embedded and edge platforms (e.g., NVIDIA Jetson) to meet real-time constraints
• Drive adoption of emerging technologies such as Gaussian Splatting, 3D occupancy mapping, and LLM-based reasoning
• Validate performance through simulation (Gazebo, Isaac Sim, Unity) and real-world testing
• Manage the full lifecycle of ML/DL projects, from research and prototyping to deployment, ensuring robust and scalable solutions
• Collaborate with cross-functional teams across Samsung to integrate ML/DL algorithms into hardware and software platforms
• Stay at the forefront of developments in machine learning, computer vision, and deep learning, and guide the adoption of emerging technologies to elevate Samsung’s camera solutions
• Apply parameter-efficient optimization and advanced ML techniques for high-performance inference in constrained environments
• Contribute to technology roadmaps and R&D investment decisions to ensure long-term success in camera technologies

Senior Engineer, ML, Computer Vision

• Researching and defining the SW solutions based on the PCIe standard and the Linux implementation for the PCIe stack
• Designing and Implementing the SW Stack for the communication between the EyeQ SoCs laying the infrastructure for cross chip neural networks.
• Defining the future HW solutions by working closely with the SoC Architecture team in a SW/HW co-development environment.
• Performing performance analysis, feasibility studies, PoCs and optimization flows to achieve the highest performance with minimal resources.
• Work closely with the Linux Kernel team and provide the technical guidance and mentoring for development engineers.

Embedded Linux OS Architect

• Define the architectural vision, principles, and long-term strategy for enterprise-scale agentic AI platforms and capabilities
• Design scalable, secure, and governed architectures for AI agent orchestration, coordination, and execution across enterprise environments
• Establish architectural standards, reusable patterns, and reference architectures for agent platforms, workflows, and governance
• Define secure integration frameworks for AI agents interacting with enterprise systems, data, and applications
• Partner with cross-functional stakeholders to align agentic architecture with business goals and enterprise requirements
• Provide technical leadership and mentorship to ensure scalable and reusable agentic AI solutions
• Establish frameworks to assess agent performance, reliability, risk, and production readiness

Senior Software Architect – Agentic AI

• Lead end-to-end development of features - from design and implementation to integration, testing, and deployment
• Build ML pipelines for data-based diverse dataset creation and efficient model inference
• Design data selection and sampling strategies to ensure coverage of rare and critical scenarios
• Partner with algorithm teams to translate model weaknesses into data curation criteria
• Develop validation and diagnostics to measure dataset quality—not just pipeline health but training effectiveness
• Integrate neural network models into C++ production systems, including runtime, data flow, and pre/post‑processing
• Bring models from research/prototype stage into robust, production‑ready deployments
• Optimize runtime performance (latency, memory, and throughput) in resource‑constrained environments
• Contribute to deployment flows (e.g., model conversion, profiling, optimization)
• Build and improve CI/CD pipelines, automated testing, and development workflows

ML Software Engineer

• Play an active role in designing and implementing a new Edge Management product.
• Explore deep code integration into various Red Hat products.
• Collaborate with UX, UI and QE teams in order to deliver great experience to Red Hat partners and customers.
• Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings.
• Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats.
• Work with Red Hat's Global Customer Support team and partner support teams on resolving customer issues.
• Work with the Quality Engineering (QE) team to ensure that products are tested correctly.
• Publicize the team's work through blogs, web postings or conference talks.

Software Engineer – Edge Management

• Participate in the development and improvement of the PenDrive tool
• Work on features related to data collection, scanning workflows, CLI usability and data presenting
• Contribute to testing, debugging, and validation of system checks
• Collaborate with engineers from Insights, QE and platform teams
• Assist with documentation and improving developer and user experience

Software Engineer Intern – Infrastructure Validation Development

• Be responsible for code contributions in a technical environment
• Work closely with members of our Engineering, Site Reliability Engineering (SRE), Quality Engineering (QE), Documentation, Product Security and Product Management teams
• Be responsible for our product quality, participate in peer code reviews, continuous integration (CI) and delivery (CD)
• Work and communicate with a distributed team

Software Engineering Intern – ARO HCP

• Actively participate in container and virtualization technologies, such as KubeVirt, Kubernetes, OpenShift, Libvirt and QEMU.
• Learn, develop and enhance KubeVirt (primarily compute features around the nodes) and collaborate with the community using Golang.
• Submit patches for bug fixes to the KubeVirt project.
• Be responsible for code maintenance and quality by writing and fixing unit and functional tests.
• Work with the Quality Engineering team members.
• Publicize the team's work through blogs or other means.

Software Engineering Intern – OpenShift Virtualization Team

• Contribute to UI features and bug fixes for our migration and virtualization tools under the guidance of senior engineers
• Write and maintain automated tests (unit, integration, and end-to-end) for UI components and workflows
• Participate in code reviews, both reviewing others' work and incorporating feedback on your own contributions
• Collaborate with engineers across time zones using asynchronous communication (Slack, GitHub, GitLab, Jira)
• Work with designers, product managers, and backend engineers to deliver user-friendly features
• Learn and use AI-assisted development tools (GitHub Copilot, Cursor, Claude Code) to accelerate your coding and debugging
• Document your work and communicate progress to team members and stakeholders
• Participate in team ceremonies (stand-ups, demos, retrospectives) and learn Agile/Scrum practices

Software Engineering Internship – Openshift Migration, Virtualization UI

• Learn Red Hat's virtualization stack and virtualization solutions
• Execute test automation of Virtualization product, investigate failures and debugging issues
• Research, develop, and implement test automation tools and frameworks
• Collaborate and contribute to upstream virtio-win communities, testing or fixing issues

Software Engineering Intern, Virtualization Team

• Develop secure, reliable and scalable distributed systems and services, primarily in Golang, OpenShift and cloud-native technologies
• Contribute to the design, development and testing of the products or services both upstream and downstream
• Define, review and execute technical best practices
• Participate in the upstream community by writing blogs, participating in forums and speaking at user groups and conferences
• Collaborate with other engineers as needed
• Implement AI solutions that integrate with existing business systems to enhance functionality

Software Engineering Intern – OpenShift Pipelines

• Create and maintain high-performance linux system software components.
• Analyze complex software features, and build effective test strategies and test designs.
• Ensure systems and components reliability and performance through monitoring, testing, and debugging.
• Debug product issues found through test or customer cases to identify root cause and use the input to improve tests.
• Work closely with a team of engineers to support and maintain a culture of high product quality and excellence.
• Collaborate with cross-functional teams to integrate sensor and cloud solutions.
• Work collaboratively with product and release management to control risk, improve quality, and streamline our release cycles
• Participate in code reviews and provide technical guidance to team members.
• Participate in engineering best practices, including topics like secure coding, testing paradigms, debugging, performance measurement, code reviews, CI/CD and OS internals, to ensure that our sensor code is fast and reliable
• Lead strategic technical initiatives focusing on containers and orchestrators security in both public and private cloud
• Other projects as assigned

Software Engineer – Sensor Team

• Develop the verification process, aligning with quality standards and project timelines.
• Design and implement new features in the core of NVIDIA Switch and GPUs.
• Drive and facilitate the planning, scheduling, and execution of the project and activities of the team.
• Collaborate with architecture and different software design teams as part of the software development lifecycle.
• Work in pre and post-silicon development environments of next-generation NVIDIA networking products.
• Gain a deep understanding of networking technology, system debugging and stacks, as well as the HW/FW/SW relationship.
• Innovate! Bring NVIDIA’s FW switching products to shine in customer’s view.

Software Engineer – NVLink GPU Networking

• Design, develop, and maintain high-performance web applications using React and TypeScript, incorporating advanced AI features into the user experience.
• Building and optimizing robust backend APIs to support payment workflows, including multi-agent state management and LLM lifecycle governance.
• Collaborate cross-functionally with product managers, architects, DevOps, and UX/UI designers to translate business requirements into comprehensive, scalable solutions.
• Drive development efficiency by leveraging AI-assisted tools to improve code velocity, consistency, and overall system reliability.

Senior Full Stack Developer

• Lead complicated integrations combining new technologies, automating processes, and bringing up full software stacks
• Develop SDKs to be used for DPU SW development
• Create and maintain build system for complex SW products
• Develop tools using various NVIDIA proprietary and other cutting-edge technologies
• Collaborate with team members, Architects, design, QA teams, and verification

Senior Software Engineer – Infrastructure and Tools

• Craft and develop software driving the world's most complex infrastructures
• Gain intimate knowledge of world-class silicon and programming models
• Work with architecture and design teams to define the next generation of ASIC products being developed

Senior Software Engineer

• Design, build, and maintain full-stack applications that connect Cloudinary with key external platforms and ecosystems
• Lead technical execution for ecosystem products, including embedded apps, admin tools, integration services, and supporting platform components
• Partner closely with product, design, partnerships, solutions, and go-to-market teams to translate market needs into high-quality software
• Architect scalable backend services, APIs, and data flows that support ecosystem use cases and partner integrations
• Build polished, reliable frontend experiences for merchants, partners, and internal users
• Drive technical discovery and make pragmatic architectural decisions in ambiguous, early-stage product environments
• Improve developer velocity by establishing patterns, frameworks, and reusable components across ecosystem applications
• Ensure high standards for code quality, observability, performance, security, and maintainability
• Mentor other engineers and raise the technical bar through design reviews, implementation guidance, and hands-on collaboration
• Contribute strategically to the team’s roadmap by identifying technical opportunities, risks, and tradeoffs early

See all jobs on JobTailor

Senior Linux Kernel Developer

Senior Engineer, ML, Computer Vision

Embedded Linux OS Architect

Embedded Linux OS Architect

Senior Software Architect – Agentic AI

ML Software Engineer

ML Software Engineer

Software Engineer – Edge Management

Software Engineer Intern – Infrastructure Validation Development

Software Engineering Intern – ARO HCP

Software Engineering Intern – OpenShift Virtualization Team

Software Engineering Internship – Openshift Migration, Virtualization UI

Software Engineering Intern, Virtualization Team

Software Engineering Intern – OpenShift Pipelines

Software Engineer – Sensor Team

Software Engineer – NVLink GPU Networking

Senior Full Stack Developer

Senior Software Engineer – Infrastructure and Tools

Senior Software Engineer

Staff Full-Stack Developer – Ecosystem Technology