Senior AI Performance Engineer
SambaNova · San Jose, California, United States · San Jose, CA
CHECKED 12H AGO
Infrastructureonsitesenior$180k–$255k
At a glance
Highlights
- Optimize frontier models like DeepSeek R1 on SambaNova's RDU platform.
- Push limits of throughput and latency for large-scale AI inference.
- Co-design performance across compiler, runtime and hardware layers.
What they offer
- Equity plus competitive total rewards package
- 95% employee and 77% dependent medical coverage plus HSA contribution
- Dental, vision, disability, life and AD&D insurance plus FSA options
- Well-being perks including Headspace, Gympass+, One Medical and EAP
Ideal candidate
A driven, systems-curious ML engineer who loves squeezing peak throughput from frontier models and thrives collaborating across hardware and software to ship real-world impact.
Requirements
- Bachelor's or higher in computer science, electrical engineering or related field
- 3+ years in deep learning optimization, compiler/runtime/kernel or systems tuning
- Proficiency in Python or C++ with algorithms and numerical computing foundations
- Experience with PyTorch, TensorFlow, or JAX
- Demonstrated ability to optimize performance in real-world ML pipelines
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