Jobs in the United States

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Qulaity Engineer
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System Engineer 0
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We are seeking a Systems Engineer to play a key role in analyzing user requirements, concept of operations documents, and high-level system architectures to develop comprehensive system…
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Software Engineer II – Scientific Instrumentation and Process Engineering
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Software Engineer III – Scientific Instrumentation and Process Engineering
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Sr. Manufacturing Engineer - Assembly
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Applications will be accepted through Careers | JCB Careers | JCB Jobs | JCB or via LinkedIn. The anticipated application window will close on December 12, 2026.
Added 6 mins ago
Sr. Manufacturing Engineer - Assembly
JCB North America
Pooler, GA
Applications will be accepted through Careers | JCB Careers | JCB Jobs | JCB or via LinkedIn. The anticipated application window will close on December 12, 2026.
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Model Based Systems Engineer
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Process Engineer
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Professional Engineer
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Civil Engineer
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Entry Level Electrical Engineer
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Project Manager
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Digital Signal Processing Engineer
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Civil Design Engineer
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Advanced Micro Devices, Inc

Principal Software Development Engineer

San Jose, CA, United States

Apply on careers.amd.com About employer

Applications open in a new tab.

Job details

Apply by: Nov 12, 2027
Posting language: English
Posted: Nov 12, 2026

Original job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology 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 AMD is shaping the future.

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we’ll advance your career.

THE ROLE:

We are seeking a GPU performance engineering lead to join our team. This role focuses on maximizing performance and efficiency of large-scale AI training/RL/inference workloads on AMD GPU platforms. You will drive innovations across the full software-hardware stack, optimizing at scale and pushing the limits of system throughput, scalability, and utilization for generative AI workloads.

This position requires deep expertise in GPU performance analysis, distributed systems, and ML workloads, along with the ability to influence architecture, software ecosystems, and best practices across the organization.

THE PERSON:

The ideal candidate is a recognized technical leader with deep expertise in GPU performance optimization, large-scale distributed system, and system-level bottleneck analysis. You have a strong understanding of GPU architecture, interconnects, memory hierarchies, and communication patterns, and can translate this knowledge into measurable improvements in training efficiency at scale.

You are comfortable operating across layers - from kernels and runtimes to frameworks and distributed strategies - and have a track record of driving impactful optimizations and influencing technical direction.

KEY RESPONSIBILITIES:

Lead performance optimization of large-scale AI training/RL/inference workloads on AMD GPU platforms across single-node and multi-node environments.
Identify and eliminate system bottlenecks across compute, memory, and communication (e.g., kernel efficiency, memory bandwidth, network utilization).
Drive cross-stack optimizations spanning kernels, compilers, runtimes, communication libraries, and ML frameworks.
Develop and apply advanced profiling, benchmarking, and performance modeling methodologies.
Collaborate with hardware, compiler, and framework teams to influence next-generation GPU architecture and software stack design.
Contribute to and lead open-source efforts to improve ecosystem performance on AMD platforms.
Stay at the forefront of advancements in large-scale systems and performance optimization techniques.

PREFERRED EXPERIENCE:

Deep expertise in GPU architecture and performance characteristics (compute units, memory hierarchy, interconnects such as PCIe/Infinity Fabric/RDMA).
Strong experience with performance profiling tools (e.g., ROCm tools, Nsight-like systems, custom profilers) and bottleneck analysis.
Proven experience optimizing large-scale distributed training workloads across thousands of GPUs.
Experience with frameworks such as Megatron-LM, Torchtitan, vLLM, Sglang, or equivalent.
Strong understanding of communication libraries and patterns (e.g., NCCL/RCCL, collective ops, overlap of compute and communication).
Proficiency in Python and at least one systems language (C++/CUDA/HIP), including debugging and low-level optimization.
Experience with compiler stacks, kernel optimization, or graph-level optimization is a strong plus.
Demonstrated technical leadership and ability to influence cross-functional team

ACADEMIC CREDENTIALS:

Masters or PhD or equivalent experience in Computer Science, Computer Engineering, or related field

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.

Apply on careers.amd.com About employer

More about this job

Skills

Software development
ML
Communication skills
Python
C++
Debugging
Leadership
Computer science
Computer engineering

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Jobs in the United States