This role pays more than
55%
of similar roles. Most pay
$177,237–$242,312
— the shaded band above.
At the midpoint, this role pays about
$215k
versus about
$210k
for comparable roles.
Based on 240 similar postings.
Employer
About Amd
AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors
Amd currently has
379 open roles
on FindRole.
Listed pay typically runs
$166,400–$249,600
across 379 roles with salary data.
Software Development Engineer — GPU Fleet Management & AI Infrastructure will join a team at the intersection of systems software, cloud infrastructure, and accelerated computing to build Fleet Manager. This role involves developing a secure control plane for large-scale AMD GPU infrastructure, focusing on scheduling, workload orchestration, hardware health management, and inference capabilities. You will design distributed control planes, Kubernetes integrations, and developer-facing APIs while building tools for training and serving workloads. Key responsibilities include implementing admission control, multi-tenant security, and automated remediation using ROCm and hardware telemetry. The role requires proficiency in Rust, C++, or Go, along with experience in distributed systems, PostgreSQL, gRPC, and Kubernetes internals. You will solve complex problems regarding GPU topology, collective communication, and infrastructure reliability to improve how users operate workloads on current and future AMD GPU platforms.
What does a Software Development Engineer earn in California?
Median $217725 from 74 postings across 8 companies.
Improve the performance of AI inference services including routing, streaming, load shedding, and usage metering.
What we're looking for
Experience in systems software development using Rust, C++, Go, or comparable languages (preferred).
Production experience with Rust is highly desirable (preferred).
Experience designing and operating distributed systems, control planes, schedulers, or cloud infrastructure (preferred).
Strong understanding of concurrency, asynchronous programming, state machines, and failure recovery (preferred).
Experience building reliable services using REST, streaming, WebSocket, or gRPC APIs (preferred).
Experience with Kubernetes internals, controllers, operators, scheduling, resource management, or custom resources (preferred).
Experience with PostgreSQL-backed services, schema evolution, transactions, leader election, and optimistic concurrency (preferred).
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent practical experience (preferred).