Sr. Staff Distributed Systems Software Engineer, Collectives

Advanced Micro Devices, Inc; Austin (TX); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

AMD benefits

Job summary

AMD Austin, TX is seeking an experienced C++ developer to join the Collectives and Network Performance team. You will optimize collective communication libraries and training/inference performance across multi-GPU and multi-node systems, working with internal GPU libraries and ROCm teams.

The ideal candidate has a strong track record in Linux, profiling distributed AI workloads, and mentoring engineers. Master’s degree preferred; location in Austin or San Jose; visa sponsorship not offered.

Qualifications

• Strong C++ development experience in Linux environments.
• Experience with distributed AI workloads and performance optimization.
• Ability to mentor junior engineers and work with cross-functional teams.

Responsibilities

• Develop Collective Communication Features across scale-up and scale-out networks.
• Profile and optimize DL workloads on single-node and multi-node systems.
• Own features end-to-end from design to validation.
• Develop tools for benchmarking and performance estimation.
• Collaborate with GPU library, ROCm, and open-source maintainers.
• Provide hardware-software co-design input and guidance.

Skills

C++

Python

Linux

Distributed AI

Profiling

Education

Master’s degree in computer-related field

Tools

PyTorch

JAX

ROCm

vLLM

SGLang

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believetechnology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMDis shapingthefuture.

Whetheryou’redesigning next-gen processors, enabling AI breakthroughs, orbringing leading edge products to market, every role at AMD contributes to something bigger— technologythat moves the world forward.Join us and, together, we’ll advance your career.

THE ROLE:

As an experienced member of the Collectives and Network Performance team, you will play an important role in optimizing collective communication and networking software for AMD GPUs. You will enhance communication libraries and training/inference performance across multi-GPU and multi-node systems, working with internal GPU library, runtime and ROCm teams and with open-source maintainers to integrate optimizations across multiple generations of AMD GPUs and a range of state-of-the-art AI models.

THE PERSON:

Seeking an experienced C++ developer with strong technical and analytical skills in Linux environments. The ideal candidate can take ownership of features and projects with limited guidance, contribute to defining scope and technical approach, and collaborate effectively within a high-performing team. You have solid knowledge of network, NIC and GPU hardware architecture, hands-on experience profiling and optimizing distributed AI workloads, and a good understanding of modern training and inference optimization. You also support the growth of less experienced engineers.

KEY RESPONSIBILITIES:

• Develop Collective Communication Features: Design, implement and optimize features in collective communication libraries across scale-up and scale-out networks.
• Optimize Distributed Training & Inference: Profile, tune and analyze LLM, diffusion, multimodal, RecSys and generative AI workloads on single-node and multi-node systems, and recommend design tradeoffs.
• Own Features End to End: Drive assigned features and projects from design through delivery with limited guidance, including scoping, implementation, testing and performance validation.
• Performance Modeling & Tooling: Develop and improve tools and infrastructure for benchmarking, performance estimation, regression tracking and reporting.
• Collaborate with Framework & Library Teams: Work with internal GPU library, runtime and ROCm teams, and with open-source maintainers, to ensure code changes meet requirements and are integrated upstream.
• Hardware-Software Co-Design Input: Contribute software performance data and analysis to discussions on future scale-up networks, NICs and scale-out networks.
• Customer & Stakeholder Support: Help customers and internal teams apply effective load balancing, workload scheduling and model sharding strategies, and present results and recommendations.
• Software Engineering Best Practices: Apply sound engineering principles to deliver robust, maintainable solutions.
• Guide & Mentor: Mentor junior engineers through code reviews, knowledge sharing and technical guidance.

PREFERRED EXPERIENCE:

• Collective Communication & Network Knowledge: Strong knowledge of collective communication libraries (e.g., RCCL, NCCL, MPI) and a good understanding of NIC, RDMA and scale-up and scale-out network architectures.
• Performance Analysis: Strong experience in profiling, performance analysis and bottleneck identification for distributed AI workloads.
• Deep Learning Integration: Hands-on experience integrating optimized compute or communication into ML frameworks such as PyTorch, JAX, vLLM or SGLang, with a focus on throughput and scalability.
• Software Engineering Excellence: Strong proficiency in C++ and Python with solid experience in performance tuning, debugging and test design.
• High-Performance Computing: Experience with large-scale, multi-node compute environments and optimizing AI workloads across clusters.
• Collaboration & Communication: Ability to work effectively with cross-functional teams, mentor less experienced engineers, and communicate results clearly.
• Industry Experience: senior level ofprofessional experience in technical software development, with a focus on performance engineering, communication libraries, networking, or GPU/distributed systems.

ACADEMIC CREDENTIALS:

• Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field (or a Bachelor’s degree with equivalent experience). A PhD is a plus.

LOCATION:

Austin, Texas or San Jose, California.

This role is not eligible for visa sponsorship.

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.