GPU Software Engineer (AMD)

GPU Software Engineer ( AMD)

12+ months

San Jose, CA

Hybrid will wor

k
Position Overvi

ewTriune Infomatics is seeking an experienced GPU Software Engineer for a 12-month milestone-based engagement supporting a cutting-edge GPU software integration project. The consultant will work on AMD GPU platforms, drive AI stack development, contribute to open-source projects, and deliver performance benchmarking and integration reports across a structured set of monthly deliverable

s.This is a highly technical, hands-on role requiring deep expertise in GPU software stacks, ROCm, AI frameworks, and systems-level integratio

n.
Position Deta

• ilsProject Title: GPU SW Integration for Samsung Cog
• nosEngagement Type: Contract / Milestone-Based (12 Mont
• hs)Client Environment: AMD MI210 GPU, CXL Memory, NVMe Gen6, ROCm St
• ackDelivery Tools: Confluence, Jira, GitHub/GitLab (client-provid

ed)
Key Responsibili

• tiesDesign and develop GPU software modules aligned with project milesto
• nes.Perform systems integration and end-to-end testing of AI stack SW modu
• les.Validate AMD Infinity Bridge and AIS on MI210 GPU hardw
• are.Conduct functional and performance benchmarking (pSLC Firmware, CXL, RO
• Cm).Implement and validate SGLang changes for L3 to L1 memory transfer optimizat
• ion.Develop and contribute CaMa module changes to the ROCm software st
• ack.Collaborate with the SGLang open-source community and contribute code to their public GitHub r
• epo.Develop CaMa module for ROCm over Infinity Fabric/Ether
• net.Perform E2E performance benchmarking and publish formal benchmarking repo
• rts.Integrate CaMa changes into the Cognos AI stack and publish integration documentat
• ion.Scope UALink support for CaMa and publish an investigation/feasibility docum
• ent.Maintain all documentation, code, and status updates in Confluence, Jira, and GitHub/Git

Lab.
Required Skills and Qualifica

tionsGPU Software and Har

• dwareHands-on experience with AMD GPU platforms, specifically M
• I210.Proficiency with AMD ROCm software stack including kernel libraries and dri
• vers.Experience with AMD Infinity Bridge / Infinity Fabric architec
• ture.Familiarity with CXL (Compute Express Link) memory integra
• tion.Experience with NVMe storage and GPU Direct Storage (

GDS).AI Frameworks and Software

• StackExperience with SGLang or similar LLM inference framew
• orks.Familiarity with AI stack installation and end-to-end workload benchmar
• king.Knowledge of GPU memory hierarchy (HBM, L1/L3 cache) and data transfer optimiza
• tion.Proficiency in GPU kernel programming and library management (e.g., GDS, C

aMa).Programming and

• ToolsStrong proficiency in C/C++ and Python for GPU/systems-level develop
• ment.Experience with open-source contribution workflows (GitHub, pull requests, code revi
• ews).Familiarity with Jira and Confluence for project management and documenta
• tion.Experience with pSLC firmware validation and performance benchmarking methodolo

gies.Soft S

• killsAbility to work independently and deliver against defined monthly milest
• ones.Strong written communication skills for publishing technical reports and documenta
• tion.Collaborative mindset; ability to work with third-party teams (AMD, SGLang commun

ity).
Preferred Qualific

• ationsPrior experience with Samsung Cognos AI stack or similar enterprise AI plat
• forms.Familiarity with UALink protocol and its GPU interconnect applica
• tions.Prior open-source contributions to ROCm, SGLang, or similar GPU frame
• works.Experience presenting benchmarking results to semiconductor partners (AMD, NVIDIA,