HP is the original Silicon Valley garage company, where two engineers started a global revolution in technology and innovation. Today, HP is going back to its roots with 367 Garage, a new incubation group leveraging GenAI to create new product categories and the future of compute. 

367 Garage operates as a startup incubator within HP, giving its teams the autonomy, resources, and support to explore, experiment, and execute on their ideas, while leveraging HP’s scale of execution and distribution. 367 Garage creates products and businesses across consumer and enterprise markets, with a focus on the intersection of hardware and AI. 

The name 367 Garage reflects HP's history and vision. 367 Addison Avenue is the address of the famous garage where Bill Hewlett and Dave Packard founded HP in 1939. The garage is now a historic landmark and a symbol of HP's culture of innovation and entrepreneurship. By naming its incubation group 367 Garage, HP honors its past and looks forward to its future, where GenAI will enable new possibilities and experiences for people and businesses around the world. 

We are building an impactful full stack team of talented engineers to design, train and integrate machine learning capabilities that can be deployed across multiple platforms. 

Ideal candidates should have demonstrated excellence e.g. successful shipped new products/features at scale, published in top-tier technical conferences and journals, significant contributions to important open-source projects - in two or more of the following areas:  

• LLM (Large Language Models), LVM (Large Vision Models) 

• Speech recognition and synthesis 

• Multimodal Generative AI (text-to-image, text-to-video, etc.) 

• 3D human and object pose/shape estimation and tracking 

• Spatial computing: AR/VR 

• Autonomous vehicles and agents 

• Human computer intelligent interactions 

• Deep neural networks 

• Model size reduction 

• Computer vision 

• Synthetic photorealistic image data generation 

• Robotics 

• Embedded systems 

• Cloud computing 

• Other relevant technologies (do tell us about them!) 

The ideal candidate will be responsible for researching, designing, training, and implementing machine learning capabilities across various platforms to address real-world problems faced by millions of HP customers every day. 

Responsibilities: 

• Collaborate with Development Teams: Work closely with software developers to design, build, test, and deploy changes to existing software across cloud, mobile, embedded, and desktop platforms. 

• Automate Processes: Identify and automate manual processes to improve efficiency and reliability in the software development lifecycle. 

• Manage Cloud Infrastructure: Maintain and enhance our cloud infrastructure on Azure, AWS, and Google Cloud, ensuring high availability and scalability. 

• Continuous Integration/Continuous Deployment (CI/CD): Implement and manage CI/CD pipelines to ensure smooth and reliable code integration and deployment. 

• Security Protocols: Enhance the company’s IT infrastructure security protocols to protect against vulnerabilities and breaches. 

• Monitor and Troubleshoot: Continuously monitor system performance and troubleshoot issues to ensure optimal operation of all environments. 

• Support Desktop Development: Provide support for desktop software development on Windows and Linux platforms. 

• Documentation: Create and maintain comprehensive documentation for all processes and systems. 

Requirements: 

• Experience: 3+ years of experience in a DevOps role, supporting full-stack software teams. 

• Technical Skills: Proficiency in cloud platforms (Azure, AWS, Google Cloud), mobile development environments (iOS, Android), embedded systems (RTOS, Linux), and desktop environments (Windows, Mac, Linux). 

• Tools: Experience with CI/CD tools (e.g., Jenkins, GitLab CI), containerization (Docker, Kubernetes), and infrastructure as code (Terraform, Ansible). 

• Programming: Strong scripting skills in languages such as Python, Bash, or PowerShell. 

• Problem-Solving: Excellent troubleshooting and problem-solving skills. 

• Communication: Strong communication and collaboration skills to work effectively with cross-functional teams. 

Preferred Qualifications: 

• Certifications: Relevant certifications in cloud platforms (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer Expert). 

• Agile Methodologies: Experience working in Agile development environments. 

• Security: Knowledge of security best practices and tools. 

• Degree in Computer Science, Engineering, Mathematics, or another quantitative field.