Netpreme

Member of Technical Staff, ML Systems

Santa Clara, CA · Staff+

Sponsorship not specifiedDetected 132 days ago

AlgorithmsMachine LearningLLMsSystems EngineeringResearch

About the role

We're looking for a motivated LLM Systems Engineer willing to explore new and unconventional inference systems based on emerging hardware.
This role is part engineering, part research - you'll be responsible for searching and prototyping various algorithms suitable for our inference hardware, as well as guiding our hardware team on the product definition.
The ideal candidate has a proven track of record of pursuing ML systems research, and is very familiar with industry-standard LLM inference systems.

You'll work from first principles, move quickly from insight to execution, and see your contributions directly reflected in what we build.
Develop novel memory models for expandable vRAM.
Perform design-space exploration, implementation, and benchmarking of inference engines, both in simulations and on real hardware.

Prior experience contributing to the core LLM inference infrastructures (vLLM, SGLang, TensorRT, etc.).
Prior experience in accelerator programming (e.g. CUDA, JAX/Pallas, ROCm).
Compensation & Benefits
Competitive salary commensurate with experience including base salary, incentive-based bonus, and early stage equity grant.
Comprehensive benefits including health, dental, vision, and life insurance.
Well-equipped, sunny offices in Santa Clara, CA and Boston, MA.
Relocation assistance and visa sponsorship.
Perks include a daily lunch stipend, 401k match, and more.
A collaborative, continuous-learning work environment with smart, dedicated colleagues engaged in developing the next generation of architecture for high-performance computing.
The Opportunity
Impact: We are tackling a fundamental challenge at the infrastructure layer: unlocking greater AI capability while dramatically improving efficiency. The work we do here compounds across state-of-the-art AI models, systems, and real-world applications.
Timing: Joining now means real ownership of the company and meaningful influence over product direction and execution. You'll work from first principles, move quickly from insight to execution, and see your contributions directly reflected in what we build.

MS or PhD in computer systems, ideally with a focus on LLM inference and/or distributed systems.
Advanced computer architectures and performance engineering skills is a big plus.

Competitive salary commensurate with experience including base salary, incentive-based bonus, and early stage equity grant.
Well-equipped, sunny offices in Santa Clara, CA and Boston, MA.
Relocation assistance and visa sponsorship.

We are tackling a fundamental challenge at the infrastructure layer: unlocking greater AI capability while dramatically improving efficiency.
The work we do here compounds across state-of-the-art AI models, systems, and real-world applications.
You'll work alongside a group of people who care deeply about rigor, clarity, and impact.
We value thoughtful disagreement, fast learning, and intellectual fearlessness.
This is a place where strong ideas shine, curiosity is encouraged, and growth is a daily practice.
Impact: We are tackling a fundamental challenge at the infrastructure layer: unlocking greater AI capability while dramatically improving efficiency.

This listing is sourced directly from Netpreme's careers page and normalized into a canonical job model.