Member of Technical Staff, Inference
- Pay
- $200,000 – $400,000 per year
- Location
- San Francisco, CA · Hybrid
- Job type
- Full-time
- Level
- Mid-level
- Education
- Bachelor's degree
- Listed
- 31 days ago
Skills & highlights for this role
- Python
- PyTorch
- LLM inference systems
- transformer architectures
Also useful
- vLLM
- TensorRT-LLM
- SGLang
- KV-cache management
Stated benefits & perks
- Health
- Dental
- Vision
- 401k match
About the role
Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware-a position that took years to build.
About the Role
We're looking for an inference runtime engineer to push the boundaries of what's possible in LLM and diffusion model serving. Models grow larger. Architectures shift: mixture-of-experts, multimodal, agentic. Every breakthrough demands innovations on the inference engine itself. You'll work at the core of vLLM, optimizing how models execute across diverse hardware and architectures. Your work will directly impact how the world runs AI inference.
Minimum qualifications
- Bachelor's degree or equivalent experience in computer science, engineering, or similar.
- Deep understanding of transformer architectures and their variants.
- Strong programming skills in Python with experience in PyTorch internals.
- Experience with LLM inference systems (vLLM, TensorRT-LLM, SGLang, TGI).
- Ability to read and implement model architectures and inference techniques from research papers.
- Demonstrate the ability to contribute performant and maintainable code and debug in complex ML codebases.
Preferred qualifications
- Deep understanding of KV-cache memory management, prefix caching, and hybrid model serving.
- Familiarity with RL frameworks and algorithms for LLMs.
- Experience with multimodal inference (audio/image/video/text).
- Contributions to open-source ML or system infrastructure projects.
Bonus points if you have
- Implemented core features in vLLM or other inference engine projects.
- Contributed to vLLM integrations (verl, OpenRLHF, Unsloth, LlamaFactory, etc).
- Written widely-shared technical blogs or side projects on vLLM or LLM inference.
Logistics
- Location: This role is based in San Francisco, California. Will consider remote in the US for exceptional candidates.
- Compensation: Depending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $400,000 USD + equity.
- Visa sponsorship: We sponsor visas on a case-by-case basis.
- Benefits: Inferact offers generous health, dental, and vision benefits as well as 401(k) company match.
From Inferact's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Member of Technical Staff, Inference role at Inferact?
The Member of Technical Staff, Inference posting at Inferact states compensation of $200,000 – $400,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Inferact's official career site.
Where is the Member of Technical Staff, Inference job at Inferact located?
This Member of Technical Staff, Inference position at Inferact is located in San Francisco, CA (Hybrid). Always check Inferact's application page for specific state eligibility or relocation policies.
What qualifications are required for Member of Technical Staff, Inference at Inferact?
For the Member of Technical Staff, Inference role, Inferact highlights a bachelor's degree; experience with Python, PyTorch, LLM inference systems, transformer architectures. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Member of Technical Staff, Inference position at Inferact?
This listing links directly to Inferact's Ashby application page. You can apply directly on Inferact's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.