Datacenter AI Systems and Solutions Engineer, Sr Staff
$162,600 - $244,000 USD yearly
Originally posted 10 June 2026 by the employer.
About the role
As a Datacenter AI Systems and Solutions Engineer, you will research, develop, optimize, and validate software, hardware, architecture, algorithms, and machine learning solutions for datacenter deployments. The role centers on developing solutions around Qualcomm AI inference accelerators for data center and hybrid AI applications.
What you'll do
- Lead the development of end-to-end AI/ML solutions integrating Qualcomm AI hardware, system software, and ecosystem components for AI inference performance, power efficiency, and scalability. - Drive the design, development, deployment, and optimization of Generative AI and LLM-based applications, guiding model fine-tuning, distillation, and optimization strategies for target hardware. - Research, design, simulate, validate, and optimize AI systems across hardware, system software, AI frameworks, and models. - Perform AI model benchmarking, workload characterization, and performance analysis to influence system requirements, hardware/software co-design, and product direction. - Own system-level architecture and design, including requirements definition, interface specifications, performance targets, and platform enhancements. - Lead system-level debugging and triage across the stack, communicating root causes, trade-offs, and recommendations.
What you'll need
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience (or Master's degree and 5+ years, or PhD and 4+ years).
Nice to have
- Master’s or PhD in Engineering, Computer Science, Information Systems, Physics, or a related discipline. - Strong proficiency in Python and experience with ML frameworks, APIs, REST services, and microservice-based architecture. - Hands-on experience designing, deploying, and operating AI/ML systems in production, including Generative AI architectures such as transformers, diffusion models, and hybrid systems (LLMs, LVMs, embeddings). - Experience with large-scale AI systems architecture, distributed systems, event-driven designs, AI inference serving, and performance optimization across heterogeneous hardware. - Experience with MLOps practices, GitOps workflows, containerization (Docker), orchestration platforms (Kubernetes), and ML lifecycle tools. - Experience with cluster schedulers and resource managers (such as Slurm or PBS), observability and monitoring tools for ML pipelines, or rack-level orchestration and fleet management. - Experience with fine-tuning and optimization of GenAI models, including reinforcement learning techniques.
Skills: AI inference accelerators, Generative AI, MLOps, hardware/software co-design, AI systems architecture
This role has been open 135 days — well above the 85-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
509
|
Median days open
85 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (509 roles · 75 employers) |
|---|---|---|
| Open roles in this specialty | 105 | 509 |
| Open roles in the wider Software, Firmware & Systems family | 738 | 6298 · 144 employers |
| Median days open | 114 d | 85 d (+29 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI inference accelerators, Generative AI, MLOps, hardware/software co-design, AI systems architecture
Who's hiring in this category
- Qualcomm (this employer) · 104 open roles · median 114 d
- NVIDIA · 89 open roles · median 56 d
- AMD · 38 open roles · median 96 d
- Micron Technology · 27 open roles · median 58 d
- Mobileye · 20 open roles · median 83 d
- Analog Devices · 18 open roles · median 41 d
How we counted: 509 open AI/ML Hardware Engineering (AI ML Hardware) roles from 75 employers tracked in the SemiconductorJobs index, counted 23 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.