23 hours ago
Base Salary
$173k - $307k/yr
Responsibilities
- Own the architecture and roadmap for major ML compute and inference platform components.
- Design and operate distributed training and inference systems across large multi-node and multi-region clusters.
- Improve multi-tenancy, elasticity, GPU utilization, performance, reliability, and cost efficiency across shared infrastructure.
- Build model packaging, registry, deployment, and safe rollout workflows that move models from experimentation to production.
- Set engineering standards for reliability, observability, and performance.
- Partner with ML researchers and product teams to develop platform capabilities and inform capacity and hardware strategy.
- Provide technical leadership and mentorship across the platform organization.
Requirements
- At least 7 years of experience building and operating large-scale platform, infrastructure, or distributed systems in production.
- Deep expertise in distributed systems and cloud infrastructure, including Kubernetes, containerized workloads, and large multi-node and multi-region clusters.
- Strong Python programming ability and proficiency in at least one systems language: Go, C++, Rust, or Java.
- Experience designing, architecting, and operating scalable systems that other engineers build on.
- Ability to make architectural tradeoffs and drive measurable improvements in latency, throughput, utilization, and reliability.
- Preferred experience with GPU or accelerator scheduling, performance tuning, or fleet management.
- Preferred familiarity with ML framework internals, distributed training, or modern inference stacks.
- Preferred experience operating ML or data infrastructure at the scale of a major ML-driven product organization.
Benefits
- The U.S. annual base pay range is $172,500 to $306,625, varying by work location, skills, knowledge, and experience.
- California annual base pay range is $211,800 to $306,625.
- Eligible roles may receive Annual Incentive Plan participation and, in some cases, long-term new-hire equity awards.
- Adobe offers comprehensive benefits programs and an accessibility accommodation process.
- Adobe supports an equal employment opportunity workplace and provides guidance on permitted AI use during interviews.
Categories
About Adobe
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