Careers

We are a rapidly growing AI infrastructure technology company based in the Washington, DC area. Our goal is to transform the economics of generative AI by harnessing compute resources more intelligently – delivering exceptional training and inference performance at scale with significantly lower cost.

We believe we’re building something ambitious that will have a positive impact on the world. Our team is collaborative, technical, and customer-focused. We work remotely, but get together regularly for in-person meetings and strategy sessions.

Have a look at the positions below and reach out if you're interested.

If none of the positions sound like the perfect fit but you're talented, excited to work with us, and think you can contribute, we’d like to hear from you. Email us at jobs@cogniware.ai and let us know why you think you'd be a great hire!

Nighttime view of Washington, D.C., with the Washington Monument prominently in the center, the U.S. Capitol in the distance, and city lights illuminating the skyline.

  • Responsibilities : To architect, develop, bring-up, deploy and maintain large multi core CPU/GPU platforms with and without CUDA framework, for running AI workloads at scale. This position requires deep understanding of systems programming, customization in the builds of OS & Drivers, enabling virtualization at platform, systems and applications layers of technology stack. We are looking for candidates with a positive attitude and inclination towards fast paced & iterative process of development, deployment and testing

    Qualification Requirements :

    • Must be a U.S. citizen

    • Strong foundation in Computer Science and Operating Systems

    • Excellent problem-solving and analytical skills

    • Ability to work in a hybrid environment

    • Bachelor's or Master's degree in Computer Science, Engineering, or related field

    • Prior experience in Embedded Systems is necessary, and  AI & Machine Learning experience is a plus

    • An overall 5+ years of related experience

    Technical Stack Requirements :

    • Proficiency in Object Oriented Programming with C/C++, Python, using Databases and Networking libraries & packages to develop secure & scalable system applications.

    • Experience in any RTOS/Embedded Software Development - Device driver, BSP programming & Driver development and OS Customization for custom H/W platforms.

    • Experience in GPU, CUDA Programming. Any experience with AI workload customization at platform level will be a plus.

    • Experience in building Board Support Packages (BSP), Troubleshooting system failures at board/platform level issues.

    • Experience in working with virtualization technologies for VMs, Hypervisor and Containers & their Orchestration (Docker, Kubernetes or similar) is desirable

    Nice to have :

    • Familiarity of working with public clouds - GCP, AWS Services (Cloudfunctions, GKE, Lambda, ECS etc) 

    • Knowledge of developing and deployment for Distributed Computing Infrastructure will be beneficial.

    • A background in data science or data analysis 

    • Experience of working with technical leadership in a fast-growing start up environment description

  • Responsibilities : To architect, develop, deploy, maintain  AI Applications and Inferencing & Training workloads (LLM's) for scale. These applications involve building & supporting AI Agents, Agentic AI workflows, RAGs and other related sub systems in AI Application eco systems. We are looking for candidates with a positive attitude and inclination towards fast paced & iterative process of development, deployment & testing.

    Qualification Requirements :

    • Must be a U.S. citizen

    • Strong foundation in Computer Science and Operating Systems

    • Excellent problem-solving and analytical skills

    • Ability to work in a hybrid environment

    • Bachelor's or Master's degree in Computer Science, Data Science or Engineering, or related field

    • Prior experience in AI and Machine Learning is necessary

    • An overall 5+ years of related experience 

    Technical Stack Requirements :

    • Proficiency in Object Oriented Programming with C/C++, Python, JavaScript using Databases and Networking libraries to develop secure & scalable system applications.

    • Experience as Web Application Full Stack Developer with focus on AI/ML applications - Development, Maintenance and Deployments at Scale.

    • Experience in development in AI/ML eco systems of NLP and other LLMs models (open-source or commercial APIs like GPT etc)

    • Experience in the use of AI/ML frameworks & tools such as PyTorch or TensorFlow.

    • Experience of working with secure retrieval-based architectures, data pipelines and embedding databases. 

    • Experience of working with Containers & their Orchestration (Docker, Kubernetes or similar).

    Nice to have :

    • Familiarity with virtualization technologies for VMs, Hypervisor is a plus 

    • Familiarity of working with public clouds - GCP, AWS Services (Cloudfunctions, GKE, Lambda, ECS etc) is necessary

    • Knowledge of developing, troubleshooting applications at scale for distributed computing will be beneficial

    • Experience of working with technical leadership in a fast-growing start up environment

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