Compiler 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
- Power SambaNova's RDU by fusing kernels into dataflow graphs.
- Map ML models onto novel dataflow hardware for faster inference.
- See compiler decisions directly shape chip performance.
What they offer
- Equity as part of total rewards package
- 95% employee medical premium coverage and 77% for dependents with HSA employer contribution
- Dental, Vision, Disability, Life and AD&D insurance plus FSA options
- Well-being benefits including Headspace, Gympass+, One Medical and EAP counseling
Ideal candidate
Recent CS or EE graduate fascinated by compilers and chip architecture who loves low-level problem solving and learning through mentorship.
Requirements
- B.S. in Computer Science, Electrical Engineering, Computer Engineering, or related field
- Experience in machine learning systems development, including ML compilers, LLM inference kernels, or kernel generation
- Strong programming skills in Python and C/C++
- Experience programming GPUs or other AI accelerators
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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