Overview: We are looking for a Product Designer with strong UI/UX skills to join our core platform team. This role involves designing intuitive and scalable interfaces for a technical platform that integrates AI workflows, real-time data, and complex configuration tools. You'll be closely involved in shaping user experiences across system dashboards, deployment interfaces, and data visualizations, all with a strong emphasis on usability, performance, and clarity. If you're passionate about solving real-world user problems and enjoy designing structured tools for modern digital infrastructure, we’d love to hear from you. Key Responsibilities: User-Centered Design & Strategy Translate business and user needs into product flows, wireframes and high-fidelity mockups. Design intuitive interfaces for complex logistics and AI platform components like dashboards, alert systems and analytics tools. Work closely with product and engineering to define user journeys and interaction models. Visual Design & Prototyping Deliver pixel-perfect UI with a strong grasp of visual hierarchy, spacing and typography. Create responsive design systems and component libraries aligned with Condor’s visual identity. Build interactive prototypes to communicate design ideas and test UX assumptions. Design Process & Collaboration Participate in and lead design critiques; iterate based on feedback from users and teammates. Collaborate with cross-functional teams to align design solutions with technical feasibility and business goals. Contribute to a scalable design system that supports rapid product iteration. User Research & Validation Support or conduct user research and usability testing to validate design decisions. Use data, heuristics and empathy to continuously refine and improve product UX. Required Skills & Qualifications: Educational Background: Bachelor’s or Master’s degree in Design, HCI, Interaction Design or related discipline. Professional Experience: 3+ years of hands-on product design experience (preferably in SaaS, B2B, or enterprise platforms). Strong portfolio showcasing web or platform UI/UX work, with examples of design thinking and problem-solving. Technical Proficiency: Mastery of Figma (or equivalent design tools) for design, prototyping, and collaboration. Solid understanding of UI patterns, interaction models, and responsive web design. Familiarity with basic HTML/CSS and developer handoff processes is a plus. Bonus Points Experience working on data-intensive or configuration-heavy platforms. Comfort with multi-role user environments or workflow-centric design. Exposure to technical user groups, infrastructure tooling, or system observability dashboards. Ability to balance visual polish with engineering constraints and evolving product goals. Contact Information: To apply, please send your resume and portfolio details to hire@condor-ai.com with “Application: Product Designer” in the subject line. About Condor AI: Condor is an AI engineering company where we use artificial intelligence models to deploy solutions in the real world. Our core strength lies in Edge AI, combining custom hardware with optimized software for fast, reliable, on device intelligence. We work across smart cities, industrial automation, logistics, and security, with a team that brings over a decade of experience in AI, embedded systems, and enterprise grade solutions. We operate lean, think globally, and build for production from system design to scaled deployment.
Overview: We are looking for a Social Media & Content Designer to own and grow Condor’s digital voice across platforms like LinkedIn, Medium, Instagram, YouTube, and our website. This role is ideal for someone who can communicate complex ideas in simple, engaging formats and is equally comfortable writing, designing, posting, and analysing content. If you're a digital media enthusiast who enjoys working at the intersection of tech, storytelling and design, we’d love to hear from you. Key Responsibilities: Content Creation, & Design Plan, create, design and schedule content across LinkedIn, Medium, Instagram, Facebook and YouTube. Write social posts, blog articles, newsletters, video scripts, and campaign copies. Design social media creatives using tools like Canva, Figma or Adobe Illustrator. Collaborate with product and design teams to turn updates and launches into compelling content. Platform Management & Growth Respond to DMs, comments, and foster interaction across Condor’s digital touchpoints. Keep the company website updated with content, visuals, and key changes (using CMS like Webflow/WordPress). Brand Voice & Community Develop and maintain a consistent brand tone and visual identity that reflects Condor’s work in AI, edge computing and real world deployment. Engage with followers, respond to messages and comments and build community across platforms. Track relevant trends and competitors to position Condor as a credible and forward looking voice in AI and IoT. Analytics & Strategy Monitor post and campaign performance using platform analytics. Share insights and recommendations to improve content strategy, reach and engagement. Contribute to campaign planning for product launches, thought leadership and partnerships. Required Skills & Qualifications: Educational Background: Bachelor’s degree in Communications, Design, Marketing, Media, English or a related field. Professional Experience: 2+ years managing content and social media for a brand, ideally in tech, SaaS, hardware or startups. Portfolio or samples of previous content and visual work (social posts, blog links, campaigns, etc.). Technical Proficiency: Hands-on design experience with Canva, Figma, Adobe Illustrator or Photoshop. Familiarity with social media tools like Buffer, Hootsuite, Meta Business Suite, etc. Basic knowledge of CMS platforms like Webflow or WordPress is a plus. Bonus Points Interest in AI, edge computing, IoT or deeptech storytelling. Ability to translate complex or technical ideas into engaging, digestible content. Contact Information: To apply, please send your resume and portfolio details to hire@condor-ai.com with “Application: Social Media Designer” in the subject line. About Condor AI: Condor is an AI engineering company where we use artificial intelligence models to deploy solutions in the real world. Our core strength lies in Edge AI, combining custom hardware with optimized software for fast, reliable, on device intelligence. We work across smart cities, industrial automation, logistics, and security, with a team that brings over a decade of experience in AI, embedded systems, and enterprise grade solutions. We operate lean, think globally, and build for production from system design to scaled deployment.
Overview: We are looking for a DevOps Engineer who thrives at the intersection of infrastructure, automation, and operational excellence. You will be responsible for maintaining and scaling our CI/CD pipelines, provisioning cloud environments, and enabling rapid, secure, and reliable deployment of software for our AI and edge platform ecosystem. This role is ideal for someone who enjoys solving real-world system challenges and collaborating with cross-functional teams to support fast-moving development cycles, platform stability, and deployment efficiency. Key Responsibilities: Infrastructure Automation & CI/CD Build and maintain CI/CD pipelines to support development, testing, and deployment workflows. Automate infrastructure provisioning using tools like Terraform, Ansible, or Pulumi. Set up scalable and secure cloud environments using platforms such as AWS, GCP, or Azure. Manage and optimize storage buckets and related access controls across cloud providers. Deployment, Monitoring & Package Management Manage Dockerized applications, Kubernetes clusters, and container orchestration systems. Monitor system health, performance metrics, and logging pipelines using tools like Prometheus, Grafana, ELK, or similar. Handle internal APT/YUM repositories for distributing infrastructure and application packages. Deploy and maintain the latest security and system utility packages across environments. Respond to system alerts and incidents, ensuring platform availability and uptime. Security & Compliance Implement best practices for DevSecOps including role-based access control, secrets management, and secure pipelines. Maintain audit logs, backup strategies, and disaster recovery plans for critical systems. Collaboration & Support Work closely with software engineers to streamline deployment processes and improve release velocity. Support development, QA, and product teams with test environments, release workflows, and performance optimization. Contribute to internal documentation and playbooks for deployments, upgrades, and environment management. Required Skills & Qualifications: Educational Background: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Professional Experience: 2–4 years of hands-on DevOps experience in managing cloud infrastructure and CI/CD. Proven experience with containerization, orchestration, and cloud deployments in real-world environments. Technical Proficiency: Proficiency with infrastructure as code (IaC) tools such as Terraform, Ansible, or CloudFormation. Experience with CI/CD tools like GitHub Actions, GitLab CI, Jenkins, or CircleCI. Strong understanding of Docker, Kubernetes, and service orchestration patterns. Familiarity with cloud environments (AWS/GCP/Azure), storage buckets, and networking fundamentals. Experience with observability tools such as Prometheus, Grafana, Loki, or ELK. Experience managing APT/YUM package repositories and system-level deployments. Bonus Points Exposure to edge computing environments or embedded system deployments. Knowledge of VPN setup, certificate management, and secure provisioning workflows. Familiarity with scripting languages (Bash, Python) for automation tasks. Contact Information: To apply, please send your resume and portfolio details to hire@condor-ai.com with “Application: DevOps Engineer” in the subject line. About Condor AI: Condor is an AI engineering company where we use artificial intelligence models to deploy solutions in the real world. Our core strength lies in Edge AI, combining custom hardware with optimized software for fast, reliable, on device intelligence. We work across smart cities, industrial automation, logistics, and security, with a team that brings over a decade of experience in AI, embedded systems, and enterprise grade solutions. We operate lean, think globally, and build for production from system design to scaled deployment.
Overview: We are seeking an Embedded AI Software Engineer with deep expertise in writing software for resource-constrained edge hardware. This role is critical to building optimized pipelines that leverage media encoders/decoders, hardware accelerators, and AI inference runtimes on platforms like NVIDIA Jetson, Hailo, and other edge AI SoCs. You will be responsible for developing highly efficient, low-latency modules that run on embedded devices, involving deep integration with NVIDIA SDKs (Jetson Multimedia, DeepStream, TensorRT) and broader GStreamer pipelines. Key Responsibilities: Media Pipeline & AI Model Integration Implement hardware-accelerated video processing pipelines using GStreamer, V4L2, and custom media backends. Integrate AI inference engines using NVIDIA TensorRT, DeepStream SDK, or similar frameworks (ONNX Runtime, OpenVINO, etc.). Profile and optimize model loading, preprocessing, postprocessing, and buffer management for edge runtime. System-Level Optimization Design software within strict memory, compute, and power budgets specific to edge hardware. Utilize multimedia capabilities (ISP, NVENC/NVDEC) and leverage DMA, zero-copy mechanisms where applicable. Implement fallback logic and error handling for edge cases in live deployment conditions. Platform & Driver-Level Work Work closely with kernel modules, device drivers, and board support packages to tune performance. Collaborate with hardware and firmware teams to validate system integration. Contribute to device provisioning, model updates, and boot-up behavior for AI edge endpoints. Required Skills & Qualifications: Educational Background: Bachelor’s or Master’s degree in Computer Engineering, Electronics, Embedded Systems, or related fields. Professional Experience: 2–4 years of hands-on development for edge/embedded systems using C++ (mandatory). Demonstrated experience with NVIDIA Jetson or equivalent edge AI hardware platforms. Technical Proficiency: Proficient in C++11/14/17 and multi-threaded programming. Strong understanding of video codecs, media IO pipelines, and encoder/decoder frameworks. Experience with GStreamer, V4L2, and multimedia buffer handling. Familiarity with TensorRT, DeepStream, CUDA, and NVIDIA’s multimedia APIs. Exposure to other runtimes like HailoRT, OpenVINO, or Coral Edge TPU SDK is a plus. Bonus Points Familiarity with build systems (CMake, Bazel), cross-compilation, and Yocto. Understanding of AI model quantization, batching, and layer fusion for performance. Prior experience working with camera bring-up, video streaming, and inference on live feeds. Contact Information: To apply, please send your resume and portfolio details to hire@condor-ai.com with “Application: Embedded AI Software Engineer” in the subject line. About Condor AI: Condor is an AI engineering company where we use artificial intelligence models to deploy solutions in the real world. Our core strength lies in Edge AI, combining custom hardware with optimized software for fast, reliable, on device intelligence. We work across smart cities, industrial automation, logistics, and security, with a team that brings over a decade of experience in AI, embedded systems, and enterprise grade solutions. We operate lean, think globally, and build for production from system design to scaled deployment.
We are looking for an Embedded AI Software Engineer with a strong background in software development for resource-constrained edge hardware. In this role, you will play a crucial part in creating optimized pipelines that utilize media encoders/decoders, hardware accelerators, and AI inference runtimes on platforms such as NVIDIA Jetson, Hailo, and other edge AI SoCs. Your primary responsibility will involve designing highly efficient, low-latency modules that can operate on embedded devices, requiring deep integration with NVIDIA SDKs like Jetson Multimedia, DeepStream, and TensorRT, as well as broader GStreamer pipelines. Responsibilities include: - Implementing hardware-accelerated video processing pipelines using GStreamer, V4L2, and custom media backends. - Integrating AI inference engines utilizing NVIDIA TensorRT, DeepStream SDK, or similar frameworks such as ONNX Runtime or OpenVINO. - Profiling and optimizing model loading, preprocessing, postprocessing, and buffer management for edge runtime. You will also design software within strict memory, compute, and power constraints specific to edge hardware, leveraging multimedia capabilities and implementing fallback logic for error handling in live deployment scenarios. Additionally, collaborating with kernel modules, device drivers, and board support packages to enhance performance will be a crucial part of your role. Requirements: - Bachelor's or Master's degree in Computer Engineering, Electronics, Embedded Systems, or related fields. - 2-4 years of hands-on experience in developing for edge/embedded systems using C++. - Proficiency in C++11/14/17, multi-threaded programming, video codecs, media IO pipelines, and encoder/decoder frameworks. - Familiarity with GStreamer, V4L2, multimedia buffer handling, TensorRT, DeepStream, CUDA, and NVIDIA's multimedia APIs. - Exposure to runtimes like HailoRT, OpenVINO, or Coral Edge TPU SDK is a plus. Bonus skills include familiarity with build systems like CMake, Bazel, cross-compilation, Yocto, AI model quantization, batching, layer fusion, camera bring-up, video streaming, and live feed inference. To apply for this position, please submit your resume and portfolio details to hire@condor-ai.com with the subject line "Application: Embedded AI Software Engineer." Condor AI is an AI engineering company specializing in deploying artificial intelligence solutions in real-world scenarios. We focus on Edge AI, combining custom hardware with optimized software for fast, reliable on-device intelligence. With expertise in smart cities, industrial automation, logistics, and security, our team brings over a decade of experience in AI, embedded systems, and enterprise-grade solutions. We operate globally, aiming for lean operations and building solutions for production from system design to scaled deployment.,
Visual Designer Job Description Position: Visual Designer Location: Hyderabad Mode : Hybrid (3 days work from office & 2 days WFH) Experience: 3+ years Employment Type: Full-time Shortlisting : Portfolio review & design exercise Overview: We’re looking for a fast, creative and detail oriented Visual Designer to bring Condor AI’s story to life across digital channels and brand assets. You’ll design sleek, high-impact visuals for social media, events, presentations and marketing campaigns that reflect our deep-tech identity. This role is about speed, precision and bold ideas and turning complex AI and hardware concepts into clean, beautiful visuals. If you thrive in a fast-paced environment, enjoy translating complex ideas into striking visuals and want to work in the world of AI and edge computing, we’d love to meet you. Key Responsibilities: Brand & Visual Identity Create on-brand social media creatives, infographics and motion graphics for LinkedIn, Twitter (X), and other platforms. Design presentations, one-pagers and event materials aligned with Condor’s corporate branding. Build a cohesive visual style and asset library for ongoing use. Creative Execution Translate technical ideas into visually engaging graphics that are clear and appealing to a B2B audience. Produce quick-turnaround visuals for announcements, launches and campaigns. Collaboration & Learning Work closely with engineering and marketing teams to understand Condor’s products and market. Stay updated with trends in deep tech communication and design. Take initiative to propose creative ways to simplify and amplify messaging visually. Required Skills & Qualifications: Bachelor’s degree in Design, Visual Communication, or related field. 2+ years of experience in visual or graphic design (B2B or tech preferred). Strong portfolio demonstrating digital-first, sleek and innovative design work. Proficiency with Adobe Creative Suite, Figma and motion/animation tools. Ability to work on tight timelines while maintaining high quality. Bonus: Familiarity with tech branding, infographics, or video editing. Contact Information: Apply with your resume and portfolio at hire@condor-ai.com with the subject line “Application: Visual Designer”. Please note: All applications must be sent by email . We encourage serious candidates to share their portfolio link and a brief note about themselves along with their resume. About Condor AI: Condor is an AI engineering company where we use artificial intelligence models to deploy solutions in the real world. Our core strength lies in Edge AI, combining custom hardware with optimized software for fast, reliable, on device intelligence. We work across smart cities, industrial automation, logistics, and security, with a team that brings over a decade of experience in AI, embedded systems, and enterprise grade solutions. We operate lean, think globally, and build for production from system design to scaled deployment.
Overview We are looking for a DevOps Engineer who thrives at the intersection of infrastructure, automation, and operational excellence. You will be responsible for maintaining and scaling our CI/CD pipelines, provisioning cloud environments, and enabling rapid, secure, and reliable deployment of software for our AI and edge platform ecosystem. This role is ideal for someone who enjoys solving real-world system challenges and collaborating with cross-functional teams to support fast-moving development cycles, platform stability, and deployment efficiency. Key Responsibilities Infrastructure Automation & CI/CD Build and maintain CI/CD pipelines to support development, testing, and deployment workflows. Automate infrastructure provisioning using tools like Terraform, Ansible, or Pulumi. Set up scalable and secure cloud environments using platforms such as AWS, GCP, or Azure. Manage and optimize storage buckets and related access controls across cloud providers. Deployment, Monitoring & Package Management Manage Dockerized applications, Kubernetes clusters, and container orchestration systems. Monitor system health, performance metrics, and logging pipelines using tools like Prometheus, Grafana, ELK, or similar. Handle internal APT/YUM repositories for distributing infrastructure and application packages. Deploy and maintain the latest security and system utility packages across environments. Respond to system alerts and incidents, ensuring platform availability and uptime. Security & Compliance Implement best practices for DevSecOps including role-based access control, secrets management, and secure pipelines. Maintain audit logs, backup strategies, and disaster recovery plans for critical systems. Collaboration & Support Work closely with software engineers to streamline deployment processes and improve release velocity. Support development, QA, and product teams with test environments, release workflows, and performance optimization. Contribute to internal documentation and playbooks for deployments, upgrades, and environment management. Required Skills & Qualifications: Educational Background Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Professional Experience 2–4 years of hands-on DevOps experience in managing cloud infrastructure and CI/CD. Proven experience with containerization, orchestration, and cloud deployments in real-world environments. Technical Proficiency Proficiency with infrastructure as code (IaC) tools such as Terraform, Ansible, or CloudFormation. Experience with CI/CD tools like GitHub Actions, GitLab CI, Jenkins, or CircleCI. Strong understanding of Docker, Kubernetes, and service orchestration patterns. Familiarity with cloud environments (AWS/GCP/Azure), storage buckets, and networking fundamentals. Experience with observability tools such as Prometheus, Grafana, Loki, or ELK. Experience managing APT/YUM package repositories and system-level deployments. Bonus Points Exposure to edge computing environments or embedded system deployments. Knowledge of VPN setup, certificate management, and secure provisioning workflows. Familiarity with scripting languages (Bash, Python) for automation tasks. Contact Information To apply, please send your resume and portfolio details to hire@condor-ai.com with “Application: DevOps Engineer” in the subject line. About Condor AI Condor is an AI engineering company where we use artificial intelligence models to deploy solutions in the real world. Our core strength lies in Edge AI, combining custom hardware with optimized software for fast, reliable, on device intelligence. We work across smart cities, industrial automation, logistics, and security, with a team that brings over a decade of experience in AI, embedded systems, and enterprise grade solutions. We operate lean, think globally, and build for production from system design to scaled deployment.
Marketing Specialist Position: Marketing Specialist Location: Hyderabad Mode : Hybrid (3 days work from office & 2 days WFH) Experience: 3+ years Employment Type: Full-time Shortlisting : Take-home assignment and Interview Overview: We’re seeking a proactive and creative Marketing Specialist to help grow Condor AI’s brand presence and outreach. This role combines digital marketing, event coordination and storytelling for a deep-tech audience. You’ll work closely with leadership to craft campaigns, represent Condor at industry events and develop strategies to make our products and solutions resonate with clients, partners and the wider tech ecosystem. If you’re curious, willing to learn about AI and edge computing, and can think creatively about engaging our target audience, this is for you. Key Responsibilities: Digital Marketing Plan and execute LinkedIn and other social media campaigns to increase visibility. Help craft content like blogs, case studies and newsletters (with internal/agency support). Monitor performance metrics and suggest ways to optimize engagement. Brand Strategy & Support Learn Condor’s product ecosystem to create simplified, impactful messaging. Support leadership in building a marketing plan for product launches and campaigns. Coordinate PR, media, and outreach efforts with external agencies when needed. Event & Outreach Organize Condor’s presence at conferences, trade shows and networking events. Develop event materials and coordinate with design for visual branding. Represent the company at events and help generate leads and connections. Required Skills & Qualifications: Bachelor’s degree in Marketing, Communications, or a related field. 2+ years of experience in marketing (B2B, tech, or events preferred). Strong communication skills and ability to craft engaging, professional messaging. Comfortable coordinating events, managing campaigns, and working with multiple stakeholders. Willingness to quickly learn deep-tech concepts and translate them into audience-friendly messages. Bonus: Experience with analytics tools, paid ads, or basic design skills. Contact Information: Apply with your resume at hire@condor-ai.com with the subject line “Application: Marketing Specialist”. Please note: All applications must be sent by email. We encourage serious candidates to share their resume along with any relevant experience via email only. About Condor AI: Condor is an AI engineering company where we use artificial intelligence models to deploy solutions in the real world. Our core strength lies in Edge AI, combining custom hardware with optimized software for fast, reliable, on device intelligence. We work across smart cities, industrial automation, logistics, and security, with a team that brings over a decade of experience in AI, embedded systems, and enterprise grade solutions. We operate lean, think globally, and build for production from system design to scaled deployment.