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

Software Engineer

• Collaborate with the team to innovate and improve digital communication solutions
• Manage risk and unleash intelligence in digital communications for regulated industries
• Spot compliance, legal, or reputational risks across communication channels

Mobile Developer

• 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

Backend Engineer

• Join our challenging R&D Server team as a senior Java developer
• Develop solutions in the company’s existing and new products
• Self-learn and share knowledge with team members
• Work in an Agile Scrum methodology
• Maintain legacy code as well as new development

Senior Java Developer

• 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

• Building a world class scalable backend platform to ensure a robust, stable and high-performing environment
• Writing reliable, efficient, secure, and scalable code
• Coding in C++ and Python as the main languages
• Collaborating with different engineering teams, product teams, and operations while developing one of the most central components of the product

Senior C++ 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

• Build end-to-end features across frontend and backend systems.
• Develop and maintain scalable backend services and web applications.
• Deploy and support cloud-based applications using Docker, Kubernetes, and AWS.
• Collaborate with cross-functional teams to deliver reliable production solutions.

Python Backend Developer

Android Engineer

• Rapidly design and build Android prototypes to explore new product ideas, emerging technologies, and integrations with other tech teams.
• Design, implement, and maintain Android system services using Kotlin/Java and the Android NDK.
• Develop and maintain JNI layers enabling communication between Android components and native C++ code.
• Implement and maintain communication with back-office systems.
• Participate in the full software development lifecycle: architecture, design, implementation, testing, integration, and deployment.
• Collaborate with cross-functional teams (ML, cloud, QA, vehicle integration) to deliver end-to-end connected features.
• Write clean, maintainable, well-tested code for both Android and C++.

Senior Android Prototyping Engineer

Game Engineer

• Designing, coding and modifying several of Beachbum’s leading games.
• Making sure the games maintain a high degree of reliability and great user experience.
• Collaborating with fellow developers in your team to make excellent systems and learn from each other.
• Working closely with other teams to help get new and exciting features to the players.

Game Developer

• Designing, implementing, and optimizing complex, high-scale systems
• Building and scaling products that directly impact patients’ access to care
• Work with a modern stack (Node.js, AWS, and other leading technologies)
• Use AI-assisted development tools to boost productivity, code quality, and delivery speed
• Designing new product capabilities from the ground up
• Evolving existing architectures
• Driving end-to-end solutions — from technical design to production rollout
• Collaborating closely with other engineers, product managers, and data experts to shape the next generation of TailorMed’s platform

• Your role will include algorithm development in the areas of computer vision (both classical and learning-based) and 3D reconstruction.
• You will develop primarily in Python, taking part in both maintaining existing products and developing new features.
• Finally, you will need to learn and develop new algorithms that can address new problems as they arise.

3D Algorithm Developer

• Spearhead the design, development, and scaling of the critical entry point for Mobileye’s Road Experience Management (REM) platform.
• Capture, process, and validate massive streams of crowdsourced data from millions of vehicles worldwide in real-time.
• Balance hands-on development (coding, code reviews, and architecture) with project management, resource planning and delivery.
• Architect end-to-end ingestion pipelines capable of handling massive scale, ensuring low latency, high availability, and optimal cost-efficiency.
• Empower, guide, and scale a talented team of backend engineers. Foster a culture of technical excellence and continuous learning.
• Continuously improve system performance, data throughput, and cloud infrastructure utilization (compute, storage, and networking costs).

Backend Team Lead – Engineering

• Develop and optimize computer vision and deep learning algorithms to accelerate data generation and labeling workflows for autonomous driving
• Apply both classical computer vision techniques and modern deep learning methods to solve large-scale data challenges
• Collaborate closely with development and annotation teams to enhance automation and ensure high-quality data
• Own the entire lifecycle from prototyping to scalable deployment within internal pipelines and tools
• Develop tools to evaluate and analyze algorithm performance, robustness, and operational efficiency

Deep Learning Developer – REM Modeling

• 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

See all jobs on JobTailor

Senior Linux Kernel Developer

Senior Engineer, ML, Computer Vision

Embedded Linux OS Architect

Embedded Linux OS Architect

Mobile Developer

Senior Software Architect – Agentic AI

Senior Java Developer

ML Software Engineer

ML Software Engineer

Senior C++ Engineer

Software Engineer – Edge Management

Python Backend Developer

Senior Android Prototyping Engineer

Game Developer

Backend Engineer

3D Algorithm Developer

Backend Team Lead – Engineering

Deep Learning Developer – REM Modeling

Software Engineer Intern – Infrastructure Validation Development

Software Engineering Intern – ARO HCP