Originally posted 13 November 2026 by the employer.
About the role
You will evaluate trade-offs across SoC design, power delivery, thermal envelopes, board-level signal and power integrity, and full software stacks including ROCm libraries.
What you'll do
- Drive end-to-end dGPU platform definition, evaluating trade-offs across SoC design, power delivery, thermal envelopes, board-level signal/power integrity, and form factors for server, edge, and client systems.
- Assess memory architecture requirements (GDDR, LPDDR, HBM) alongside memory controller design and compression techniques while optimizing high-speed interconnect topologies.
- Translate system architectural concepts into software requirements spanning firmware, drivers, runtimes, ROCm libraries, tools, and application stacks for AI, media, visualization, and simulation workloads.
- Define hardware-level telemetry, power-monitoring, and diagnostics hooks to integrate with enterprise manageability platforms including iDRAC, iLO, and IPMI.
- Lead hardware/software interface definition, serve as a primary technical escalation point during pre-silicon modeling and early post-silicon bring-up, and debug cross-layer hardware/firmware/software issues.
- Author reference architectures, sizing guidance, and tuning guides for customers, ISVs, and systems integrators.
What you'll need
- 10+ years of engineering experience in dGPU/SoC platform architecture, hardware engineering, systems software, firmware, or low-level driver development used to bring new silicon to market.
- 2+ years in technical leadership roles driving technical alignment across multi-disciplinary SoC, platform, driver, and software teams.
- Demonstrated track record in hardware/software co-design, including defining hardware-software interfaces, analyzing system performance bottlenecks, and debugging multi-layer issues.
- Working knowledge of enterprise manageability standards (IPMI, iDRAC, iLO) and system telemetry frameworks (Prometheus, Grafana, OpenTelemetry).
- Hands-on experience with containerized GPU deployment and orchestration on Linux and Windows using Docker, Podman, Kubernetes (or K3s), and cluster schedulers such as Slurm.
- Ability to articulate complex architectural trade-offs to both hardware and software audiences, and willingness to travel domestically and internationally on an occasional basis.
Nice to have
- Advanced degree (M.Sc., M.Eng., or Ph.D.) in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Knowledge of ML/AI workloads and model architectures (Transformers, Stable Diffusion, CNNs, UNet), with optimization for GPU acceleration libraries such as ROCm or CUDA.
- Hands-on experience with DirectX 12, Vulkan, ray tracing pipelines, neural rendering, or game engine performance profiling.
- Experience with pre-silicon simulation/emulation environments, server board design, or power integrity analysis.
- Experience taking AI workloads into production, integrating serving stacks (such as vLLM or SGLang), scaling across nodes, and tuning throughput and latency.
Skills: dGPU platform, server platforms, power delivery, signal integrity, SoC architecture, ROCm
More semiconductor jobs: AMD jobs · Hardware design jobs · Texas jobs
First seen in our index 0 days ago, well below the 45-day median for Hardware Systems Engineering roles.
Hardware Systems Engineering · AI ML Hardware
|
Open roles in category
1176
|
Median days since first seen
45 d
|
Category median salary (all employers)
$148k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (1176 roles · 112 employers) |
|---|---|---|
| Open roles in this specialty | 32 | 1176 |
| Open roles in the wider Software, Firmware & Systems family | 382 | 6705 · 161 employers |
| Median days since first seen | 71 d | 45 d (−26 d vs this employer) |
| Median salary (USD postings) | n/a | $148k |
Skills observed across this category: dGPU platform, server platforms, power delivery, signal integrity, SoC architecture, ROCm
Who's hiring in this category
- Intel Corporation · 95 open roles · median 31 d
- KLA Corporation · 66 open roles · median 63 d
- Applied Materials · 64 open roles · median 36 d
- NVIDIA · 62 open roles · median 76 d
- ASML · 59 open roles · median 21 d
- Teradyne · 57 open roles · median 55 d
How we counted: 1176 open Hardware Systems Engineering (AI ML Hardware) roles from 112 employers tracked in the SemiconductorJobs index, counted 13 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there, and is counted in the wider Software, Firmware & Systems family row. Days are counted from when our index first saw each posting, not from the employer's original posting date.