AI Systems Architect (Models & Hardware Co-Design) - Bangalore
Originally posted 16 October 2026 by the employer.
About the role
As an AI Systems Architect, you will work across model development, algorithms, and hardware architecture to evaluate modern AI workloads and translate them into efficient hardware implementations.
What you'll do
- Analyze modern AI model architectures, including transformers and emerging alternatives, to understand computational and system requirements.
- Work closely with hardware architects to translate model requirements into silicon implementations.
- Identify opportunities to modify or optimize models, algorithms, or dataflows to improve performance, efficiency, or scalability in hardware.
- Evaluate training and inference pipelines for modern AI models to determine hardware design implications.
- Develop performance and efficiency models to guide architectural decisions.
- Collaborate with software and hardware teams to ensure efficient deployment of models on compute platforms.
What you'll need
- Strong understanding of modern machine learning architectures, including transformers and related model families.
- Grounding in the mathematical foundations of machine learning, optimization, and deep learning algorithms.
- Experience working with ML frameworks such as PyTorch, JAX, or TensorFlow.
- Ability to analyze model computation graphs and translate them into efficient dataflows and compute patterns.
- Experience with AI model training and inference workflows.
- Ability to work across software, algorithms, and hardware systems.
Nice to have
- Experience with hardware-software co-design or AI accelerator architecture.
- Familiarity with model optimization techniques such as quantization, sparsity, pruning, or distillation.
- Experience implementing or optimizing AI models for specialized hardware platforms.
- Exposure to emerging AI model architectures beyond transformers, such as world models, continuous-time networks, or reinforcement learning systems.
- Experience working with robotics, autonomous systems, or embodied AI applications.
Skills: transformers, hardware-software co-design, AI accelerator, PyTorch, dataflow
More semiconductor jobs: AI chip design jobs · India jobs
This role has been open 6 days — well below the 87-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
506
|
Median days open
87 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Velaura AI | All employers we track in this specialty (506 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 2 | 506 |
| Open roles in the wider Software, Firmware & Systems family | 8 | 6367 · 147 employers |
| Median days open | 50 d | 87 d (−37 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: transformers, hardware-software co-design, AI accelerator, PyTorch, dataflow
Who's hiring in this category
- Qualcomm · 99 open roles · median 120 d
- NVIDIA · 89 open roles · median 62 d
- AMD · 32 open roles · median 112 d
- Micron Technology · 27 open roles · median 64 d
- Mobileye · 20 open roles · median 90 d
- Analog Devices · 17 open roles · median 47 d
How we counted: 506 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 29 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.