(Location: Remote US)
About the role:
We are looking for a Principal Software Engineer (Architect) to be responsible for architecting, designing and developing our next generation of Gen AI API platform that supports multiple modalities like image, video, language, 3D and audio. The ideal candidate will have experience in architecting and building REST APIs, hosting AI/ML workflows on HPC clusters, setting up AWS infrastructure and being a mentor for junior developers.
Responsibilities:
- Tech lead to drive architecture, design and develop AI/ML SAAS services and set up inference on an HPC cluster for multiple modalities on a common Gen AI platform
- Build robust application backends on AWS infrastructure that support highly available AI/ML services at high scale that efficiently uses GPU clusters
- Define comprehensive API specifications and documentation
- Deliver customer-facing services, including account management, identity, single-sign-on, subscription billing, and self-service support tools, integrating with existing internal systems where necessary
- Collaborate with stakeholders like frontend team, product managers and technical leadership to implement new features
- Lead system architecture design & decisions and help drive consensus
- Manage large compute clusters for ML inference and development
- Deliver and manage our developer and researcher productivity tools, including CI/CD pipelines for deploying new machine learning models, orchestration, continuous/progressive deployments, test environments, feature flags, and GitHub
- Own the orchestration, deployments, middleware and any other micro services that are required to meet the needs of our API customers
Qualifications:
- 10+ years of experience in building REST APIs and backend infrastructure on AWS
- Experienced in designing and building AI/ML infrastructure and working with large GPU clusters preferably in multiple modalities like image, video, audio, and language
- Distributed system architecture design knowledge and experience with delivering high traffic and highly available SAAS type services
- Well-versed in data structures, data modeling, and database management systems, billing and metering, as well as object and file storage systems
- Experienced in mentoring other engineers and collaborating and working with multiple stakeholders
- Experienced in root cause analysis and driving operational excellence initiatives of AI/ML services
- Highly proficient in Python and Typescript
Compensation
The salary range for this role is between $190,000 and $290,000. Individual pay within the range is based on factors like job-related skills and experience. Total compensation also includes stock options and benefits
Equal Employment Opportunity:
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
0 applies
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