Distinguished Engineer – Software Defined GPUs

Requirements

Must have:– Experience in startup environments – Entrepreneurial mindset – Over 10 years in infrastructure-level software architecture and development – Strong understanding of distributed systems – Proficient with Linux and virtualization platforms – Expertise in native Kubernetes – Familiarity with Kubernetes-based ML/AI systems (Kubeflow, Kueue, KServe, GPU Operators, DRA, Karpenter) – Deep understanding of ML/AI use cases and customer stories related to model development, training, inference, and hardware accelerator usage – Proven ability to deliver complex distributed systems – Active involvement in CNCF or similar communities – Strong leadership and team collaboration skills – Excellent communication skills, both verbal and written

Preferred Qualifications:

– Knowledge of additional ML/AI frameworks and tools

– Experience with Dev Ops practices and tools – Certification in Kubernetes or related technologies – Awareness of Fin Ops and SRE best practices – Bachelors or Masters degree in Computer Science, Engineering, or a related field

Responsibilities:

• Lead the design of native Kubernetes architectures – Ensure a Kubernetes-friendly installation process and user experience – Enhance capabilities to support GPUs, TPUs, FPGAs, and other accelerators – Collaborate with Product teams and Customers, translating technical needs into product features and prioritizing appropriately – Engage customers during initial evaluations to gather market insights – Develop detailed architecture diagrams, documentation, and presentations – Actively participate in the Open Source Community and contribute to CNCF and related projects – Drive and deliver enterprise-class solutions for data, machine learning, and AI applications – Implement Fin Ops for effective cloud financial management and adopt modern SRE practices

Company:

We are a Series A startup consisting of a dynamic team of 30 professionals dedicated to pioneering cloud native solutions, specifically focusing on live migration and GPU utilization within Kubernetes environments. We offer a 100% remote work arrangement within North America, competitive equity participation, and a base salary ranging from $200k to $300k. Join us in shaping the future of technology and contribute to cutting-edge projects that have a significant impact on our clients and the industry.

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