Principal Engineer, Data & Compute (AI Platform)

Location: Sunnyvale, California, USA; hybrid office-based role. London, United Kingdom is also listed.

Salary: $370,300–$418,200 per year, plus a competitive equity package.

Company

hirify.global develops autonomous driving technology by training end-to-end neural networks on large-scale real-world driving data.

What you will do

• Define the architecture and strategy for allocating and orchestrating training and inference workloads across thousands of GPUs and multiple data centers.
• Design petabyte-scale data federation and storage systems for high-throughput access to sensor and simulation data.
• Build foundations for AI workloads running across hybrid and multi-cloud environments.
• Advise leadership on cloud infrastructure investments, architecture, growth plans, and performance goals.
• Provide architectural coaching, technical deep dives, and mentorship across the engineering organization.

Requirements

• 10+ years of experience designing and building large-scale distributed systems, including at least 4 years focused on GPU-based cloud infrastructure.
• Experience supporting large-scale AI training, inference, or computer vision workloads in GPU clusters.
• Deep knowledge of petabyte-scale data architecture, storage federation, high-throughput access, and data locality.
• Strong technical leadership and experience defining and communicating architectural strategy.
• Experience mentoring engineers and influencing technical direction across teams.
• Advanced degree in Computer Science, Electrical Engineering, or a related field, or equivalent industry experience.

Nice to have

• Experience with multi-cloud orchestration and latency- or cost-sensitive AI pipelines.
• Familiarity with Ray, Kubernetes, Airflow, Flyte, AI/ML job scheduling, model lifecycle management, and infrastructure as code.
• Experience with safety-critical or real-time inference systems, such as robotics, autonomous vehicles, or aerospace.
• Experience building infrastructure as a product for research and product teams.

Culture & Benefits

• Hybrid work combining time in offices and workshops with time working from home.
• Work on AI infrastructure operating at thousands-of-GPUs and petabyte-scale data volumes.
• Competitive equity package.