Sr. Manager Agentic AI / Data Software Development - DC GPU - CA, San Jose, United States
Originally posted 27 August 2026 by the employer.
Build agentic AI applications and data systems on AMD Instinct GPU infrastructure.
About the role
This role involves building data and agent systems for production agentic AI applications running on AMD clusters, focusing on AMD Instinct GPU infrastructure.
What you'll do
- Build production agentic AI systems on AMD Instinct GPU infrastructure, including agent orchestration, tool/function calling, skills frameworks, and streaming inference integration against ROCm-based serving stacks.
- Design and operate the memory and context data layer for agentic applications, including vector, graph, and relational stores, embedding pipelines, retrieval and context-engineering strategies.
- Build the Applied AI team's engagement memory and fleet data infrastructure, creating pipelines that ingest deployment telemetry, incident histories, and field knowledge.
- Develop and maintain the skills library, which includes reusable, versioned, agent-executable encodings of deployment and operational expertise.
- Build evaluation infrastructure for agentic systems, such as regression suites, LLM-as-judge pipelines, and behavioral test harnesses.
- Harden agentic systems against real-world failure modes, including prompt injection, data poisoning, and tool-misuse paths.
What you'll need
- 5+ years of software engineering with significant production data engineering experience.
- Hands-on experience building LLM-powered and agentic applications in production.
- Depth in at least one memory/context storage paradigm: vector databases, graph databases, or hybrid retrieval architectures.
- Experience designing evaluation frameworks for non-deterministic systems.
- Strong Python; working fluency with modern data stack tooling and containerized deployment on Kubernetes.
- Familiarity with GPU inference serving and the performance characteristics of LLM workloads.
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Engineering, or equivalent practical experience.
Nice to have
- ROCm/AMD Instinct experience.
- Security-conscious engineering instincts, particularly around untrusted content flowing into model context.
- Open-source contribution history in the AI/ML or data infrastructure ecosystem.
Skills: agentic AI, data pipelines, memory/context databases, ROCm, LLM applications, Kubernetes
This role has been open 49 days — below the 55-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · AI ML Hardware
|
Open roles in category
98
|
Median days open
55 d
|
Median salary
$220k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (98 roles · 29 employers) |
|---|---|---|
| Open roles in this specialty | 7 | 98 |
| Open roles in the wider Software, Firmware & Systems family | 404 | 6127 · 145 employers |
| Median days open | 44 d | 55 d (−11 d vs this employer) |
| Median salary (USD postings) | — | $220k |
Skills observed across this category: agentic AI, data pipelines, memory/context databases, ROCm, LLM applications, Kubernetes
Who's hiring in this category
- Qualcomm · 21 open roles · median 54 d
- NVIDIA · 19 open roles · median 52 d
- Intel Corporation · 8 open roles · median 22 d
- AMD (this employer) · 7 open roles · median 44 d
- Micron Technology · 6 open roles · median 38 d
- Graphcore · 4 open roles · median 116 d
How we counted: 98 open Infrastructure/Platform Software (AI ML Hardware) roles from 29 employers tracked in the SemiconductorJobs index, counted 15 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.