AI Performance Engineer - New Grad
SambaNova · Austin, Texas, United States; San Jose, California, United States · Austin, TX · San Jose, CA
Infrastructureonsitenew grad$131k–$197k
At a glance
Highlights
- Bring up open-source foundation models on SambaNova's RDU dataflow platform.
- Optimize inference throughput and latency for agentic and long-running workloads.
- Tune models across compiler, runtime, and hardware layers to boost performance.
What they offer
- Equity
- 95% employee medical coverage and 77% for dependents with HSA contribution
- Dental, Vision, Disability, Life and AD&D insurance plus FSA options
- Headspace, Gympass+, One Medical and Employee Assistance Program
Ideal candidate
Recent CS/EE graduate passionate about ML systems and squeezing maximum performance from novel hardware. Curious profiler who loves digging into bottlenecks and shipping optimizations with cross-functional teams.
Requirements
- 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
Lab profile
About SambaNova
Full-stack AI infrastructure with RDU dataflow chips for fast agentic inference.
What they build
- RDU Reconfigurable Dataflow Unit
- SambaRack rack-scale hardware
- Full-stack AI inference platform
Known for
- Reconfigurable dataflow architecture alternative to GPUs
- High decode performance for agentic workloads
- Full-stack hardware-software co-design
Key facts
- Founded in 2017
- Headquartered in Palo Alto, California
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