1,973,072open jobs
116,587companies
257,182added this week
Browse all
Salary
≈ $153k – $327k per year (Estimated)
Location
In office (San Jose)
Visa
No sponsorship (stated in the posting)

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Sep 29, 2026. AMD scores B on the Alion truth index.

Overview
Company
Impact
Profile match

AMD

AMD is an American semiconductor company founded in 1969 and headquartered in Santa Clara, California, that designs processors, graphics chips and adaptive computing hardware without owning fabrication plants. Its Ryzen and Threadripper processors and Radeon graphics serve consumers and creators, EPYC server chips have taken a large share of the data centre market from Intel, and the Instinct accelerators compete for AI training and inference workloads. The 2022 acquisition of Xilinx added field-programmable gate arrays and adaptive systems on chip, and the company also supplies the custom silicon inside the PlayStation and Xbox consoles.

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 Senior Triton Compiler and Kernel Engineer to advance Triton performance and capabilities on AMD GPUs.

Triton is an open-source language and compiler for developing high-performance GPU kernels in Python. It is a critical layer in the AI software stack, connecting frameworks and workloads to GPU hardware. Triton is strategic to AMD’s AI roadmap, and AMD is investing fully in making it a first-class platform for current and future AMD GPUs.

You will work across GPU architecture, compilers, kernels, multi-GPU communication, and AI frameworks while contributing to upstream Triton and AMD’s ROCm software stack.

THE PERSON:

The ideal candidate has strong experience in several of the following areas:

  • GPU architecture and programming
  • Compiler development and optimization
  • High-performance GPU kernels
  • Multi-GPU communication and collective operations
  • Distributed AI training and inference
  • AI workload and framework performance
  • Low-level performance analysis

You can reason across the stack-from distributed AI algorithms and Triton programs to compiler transformations, communication libraries, generated instructions, and GPU hardware.

KEY RESPONSIBILITIES:

  • Develop and optimize Triton compiler support for AMD GPUs.
  • Improve compiler lowering, optimization, scheduling, and code generation.
  • Create high-performance kernels for attention, GEMM, MoE, and other AI workloads.
  • Develop and optimize multi-GPU kernels and communication primitives.
  • Enable new AMD GPU and interconnect capabilities through effective Triton abstractions.
  • Analyze compute, memory, communication, occupancy, register usage, and generated code.
  • Resolve complex correctness and performance issues across single- and multi-GPU workloads.
  • Collaborate with GPU architecture, ROCm, PyTorch, and AI framework teams.
  • Contribute designs and implementations to upstream Triton and LLVM/MLIR.
  • Provide technical leadership, code reviews, and mentoring.

PREFERRED EXPERIENCE:

  • Experience with AMD GPU architecture and ROCm is highly desirable.
  • Experience optimizing kernels with Triton, HIP, CUDA, or GPU assembly.
  • Experience with Triton, LLVM, MLIR, or another optimizing compiler.
  • Knowledge of GPU execution models, memory hierarchies, synchronization, and instruction pipelines.
  • Experience with collective communication, distributed programming, and libraries such as RCCL or NCCL.
  • Understanding of communication topologies, interconnects, synchronization, and communication-computation overlap.
  • Familiarity with distributed training, inference, tensor parallelism, expert parallelism, or pipeline parallelism.
  • Experience using AI coding tools and autonomous agents to accelerate software development, debugging, benchmarking, and kernel performance tuning.
  • Familiarity with AI primitives, reduced-precision formats, and performance profiling.
  • Contributions to complex or open-source software projects.
  • Strong analytical, debugging, communication, and collaboration skills.

ACADEMIC CREDENTIALS:

  • Bachelor’s or Master'sdegree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

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.

THE ROLE:

We are seeking a Senior Triton Compiler and Kernel Engineer to advance Triton performance and capabilities on AMD GPUs.

Triton is an open-source language and compiler for developing high-performance GPU kernels in Python. It is a critical layer in the AI software stack, connecting frameworks and workloads to GPU hardware. Triton is strategic to AMD’s AI roadmap, and AMD is investing fully in making it a first-class platform for current and future AMD GPUs.

You will work across GPU architecture, compilers, kernels, multi-GPU communication, and AI frameworks while contributing to upstream Triton and AMD’s ROCm software stack.

THE PERSON:

The ideal candidate has strong experience in several of the following areas:

  • GPU architecture and programming
  • Compiler development and optimization
  • High-performance GPU kernels
  • Multi-GPU communication and collective operations
  • Distributed AI training and inference
  • AI workload and framework performance
  • Low-level performance analysis

You can reason across the stack-from distributed AI algorithms and Triton programs to compiler transformations, communication libraries, generated instructions, and GPU hardware.

KEY RESPONSIBILITIES:

  • Develop and optimize Triton compiler support for AMD GPUs.
  • Improve compiler lowering, optimization, scheduling, and code generation.
  • Create high-performance kernels for attention, GEMM, MoE, and other AI workloads.
  • Develop and optimize multi-GPU kernels and communication primitives.
  • Enable new AMD GPU and interconnect capabilities through effective Triton abstractions.
  • Analyze compute, memory, communication, occupancy, register usage, and generated code.
  • Resolve complex correctness and performance issues across single- and multi-GPU workloads.
  • Collaborate with GPU architecture, ROCm, PyTorch, and AI framework teams.
  • Contribute designs and implementations to upstream Triton and LLVM/MLIR.
  • Provide technical leadership, code reviews, and mentoring.

PREFERRED EXPERIENCE:

  • Experience with AMD GPU architecture and ROCm is highly desirable.
  • Experience optimizing kernels with Triton, HIP, CUDA, or GPU assembly.
  • Experience with Triton, LLVM, MLIR, or another optimizing compiler.
  • Knowledge of GPU execution models, memory hierarchies, synchronization, and instruction pipelines.
  • Experience with collective communication, distributed programming, and libraries such as RCCL or NCCL.
  • Understanding of communication topologies, interconnects, synchronization, and communication-computation overlap.
  • Familiarity with distributed training, inference, tensor parallelism, expert parallelism, or pipeline parallelism.
  • Experience using AI coding tools and autonomous agents to accelerate software development, debugging, benchmarking, and kernel performance tuning.
  • Familiarity with AI primitives, reduced-precision formats, and performance profiling.
  • Contributions to complex or open-source software projects.
  • Strong analytical, debugging, communication, and collaboration skills.

ACADEMIC CREDENTIALS:

  • Bachelor’s or Master'sdegree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,973,072 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Backend
Similar stack
Same company
San Jose
$74k – $98k per year • Equity • In office • Internship • 1+ year exp • Bachelor's Degree • Milpitas
Python
AI/ML
Machine Learning
DevOps
CI/CD
Docker
Linux
Apply
$97k – $145k per year • Hybrid • Full-Time • 5+ years exp • Bachelor's Degree • Richmond
SQL
COBOL
COBOL
CICS
JCL
Databases
IMS
Management
Agile
Scrum
Kanban
Apply
$96k – $133k per year • Remote (United States) • Full-Time • 6+ years exp • United States
JavaScript
PHP
SQL
Databases
PostgreSQL
MS SQL
AI/ML
Copilot
Cursor
Claude
Frontend
JQuery
DevOps
Red Hat
Jenkins
Bitbucket
GitHub
Linux
Unix
DNS
VPN
Cybersecurity
SonarQube
Checkmarx
HIPAA
Management
Agile
Scrum
UML
Apply
$110k – $120k per year • In office • Full-Time • Ladson
JavaScript
TypeScript
SQL
C#
C#
ASP.NET Core
Frontend
Angular
React.js
DevOps
Rest API
Azure DevOps
Azure
CI/CD
GitHub
Management
Agile
Scrum
SpaceTech
CATIA
Apply
$110k – $146k per year • Remote (United States) • Full-Time • United States
Python
Go
Java
SQL
C++
DevOps
Rest API
GCP
Azure
CI/CD
AWS
Docker
Kubernetes
Apply
≈ $47k – $114k per year (Estimated) • In office • Full-Time • Bachelor's Degree • Madrid
Python
AI/ML
Function Calling
AI Agents
TensorFlow
PyTorch
LLM
RAG
Agentic Workflows
Multi-Agent Systems
Machine Learning
Apply
≈ $32k – $87k per year (Estimated) • Hybrid • 5+ years exp • Bucharest
Python
DevOps
Terraform
Puppet
Ansible
GCP
Chef
Prometheus
GitLab CI
Azure
CI/CD
Git
AWS
Docker
Kubernetes
Grafana
Configuration Management
Apply
Senior Test Analyst 5 days ago
≈ $37k – $105k per year (Estimated) • In office • Full-Time • 4+ years exp • Christchurch
Python
Databases
ElasticSearch
DevOps
Jenkins
GitLab
Linux
TCP/IP
Management
Jira
Apply
$38k per year (net) • Hybrid • 3+ years exp • Bachelor's Degree • Moscow
Python
Bash
Databases
PostgreSQL
Redis
Apache Kafka
DevOps
Ansible
Docker Compose
Zabbix
etcd
Prometheus
GitLab CI
CI/CD
Jenkins
Docker
Nginx
Grafana
Linux
Apache HTTP Server
Cybersecurity
Tcpdump
Apply
AI Engineer (LLM) 5 days ago
$15k – $25k per year • In office • Astana
Python
SQL
Python
FastAPI
Pydantic
Databases
Neo4j
Qdrant
ElasticSearch
AI/ML
LangGraph
LangChain
LoRA
Model Context Protocol
vLLM
NLP
VLM
SGLang
Langfuse
PEFT
LLM
RAG
OpenAI
OCR
Structured Outputs
Speculative Decoding
DevOps
Docker
Linux
Apply
≈ $166k – $306k per year (Estimated) • In office • Bachelor's Degree • San Jose
Python
C++
C++
LLVM
AI/ML
ONNX
PyTorch
MLIR
Machine Learning
DevOps
GitHub
Apply
≈ $184k – $368k per year (Estimated) • In office • Bachelor's Degree • Santa Clara
Python
Rust
C
C++
C
Embedded C
C++
TensorFlow C++
AI/ML
vLLM
JAX
SGLang
TensorFlow
PyTorch
CUDA
NCCL
NVLink
ROCm
DevOps
Linux
Apply
≈ $170k – $340k per year (Estimated) • In office • Bachelor's Degree • Secaucus
Python
JavaScript
Rust
PowerShell
C#
C++
Bash
DevOps
containerd
SLURM
Docker
Kubernetes
Windows
TCP/IP
Apply
≈ $164k – $328k per year (Estimated) • In office • Bachelor's Degree • San Jose
Chips/EDA
Xilinx Vivado
Apply
≈ $152k – $326k per year (Estimated) • In office • Bachelor's Degree • San Jose
Python
C++
C++
LLVM
AI/ML
ONNX
PyTorch
MLIR
Machine Learning
DevOps
GitHub
Apply
$78k – $140k per year • In office • San Jose
Apply
$78k – $140k per year • In office • Master's Degree • San Jose
Java
DevOps
Azure
AWS
Apply
$78k – $140k per year • In office • PhD • San Jose
Apply
$78k – $140k per year • In office • PhD • San Jose
Apply
$78k – $140k per year • In office • PhD • San Jose
Apply
See all jobs
This is one of many
1,973,072 more open roles from verified company boards, updated every day.