AI Performance Engineer - New Grad - Austin, Texas, United States
$131,200 - $196,800 USD yearly
Originally posted 20 October 2026 by the employer.
About the role
As a new grad AI Performance Engineer, you will bring up new open source foundation models on the SambaNova software stack and optimize their execution speed. You will profile execution, identify bottlenecks, and apply optimizations across the compiler, runtime, and Reconfigurable Dataflow Unit (RDU) hardware layers.
What you'll do
- Bring up new foundation models on the SambaNova platform using the internal software stack. - Profile model performance across compiler, runtime, and hardware layers. - Identify bottlenecks and propose dataflow or scheduling optimizations for single-node and distributed systems. - Apply techniques from recent research in quantization, scheduling, and memory optimization. - Benchmark throughput and latency while tracking performance changes across releases. - Work with machine learning, compiler, runtime, and hardware teams to ship performance improvements into SambaNova products.
What you'll need
- B.S. in Computer Science, Electrical Engineering, or related field. - Strong programming skills in Python or C++. - Understanding of algorithms, data structures, and numerical computing. - Experience with PyTorch, TensorFlow, or JAX. - Experience with inference frameworks such as vLLM, TensorRT, or SGLang. - GPU programming experience with CUDA or Triton.
Nice to have
- M.S. or Ph.D. in Computer Science, Electrical Engineering, or related field. - Experience with LLM training or inference. - Familiarity with quantization, graph optimization, kernel fusion, or model partitioning. - Knowledge of memory hierarchy, caching, and scheduling for large model execution. - Internship or research experience in ML systems or performance optimization. - Publications or open source contributions in ML systems.
Skills: PyTorch, CUDA, quantization, kernel fusion, profiling
This role has been open 0 days — well below the 84-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
513
|
Median days open
84 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | SambaNova | All employers we track in this specialty (513 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 5 | 513 |
| Open roles in the wider Software, Firmware & Systems family | 24 | 6222 · 145 employers |
| Median days open | 98 d | 84 d (+14 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: PyTorch, CUDA, quantization, kernel fusion, profiling
Who's hiring in this category
- Qualcomm · 103 open roles · median 111 d
- NVIDIA · 91 open roles · median 55 d
- AMD · 40 open roles · median 84 d
- Micron Technology · 27 open roles · median 55 d
- Analog Devices · 19 open roles · median 38 d
- Mobileye · 18 open roles · median 83 d
How we counted: 513 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 20 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.
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