Join Inferact as an inference runtime engineer to optimize AI model execution across diverse hardware and architectures.
Posted by employer 2 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 7 hours ago
AI in the day-to-day
You'll work at the core of vLLM, optimizing how models execute across diverse hardware and architectures.
Requirements
- Education
- Bachelor's degree
- Visa
- Sponsorship available
Not disclosed in this posting: years of experience.
Benefits
Joblaze summary
In this role, the inference runtime engineer focuses on enhancing the performance of large language models and diffusion model serving by optimizing execution across various hardware architectures. Key skills include a strong grasp of transformer architectures, proficiency in Python and PyTorch, and experience with LLM inference systems. This position is ideal for someone with a solid technical background and a passion for pushing the limits of AI inference technology. Inferact, a company founded by the creators of vLLM, is positioned at the forefront of AI innovation.
Joblaze insights
- Listed 10 days ago on Joblaze — tracked directly from Inferact's career page.
- Inferact has 24 other open roles including IT Support & Operations Engineer, Head of Legal, Inference Engineering, Co-op.
- 6619 active Python roles on Joblaze right now.
- 492 active PyTorch roles on Joblaze right now.
- 52 active vLLM roles on Joblaze right now.
- Salary band is in line with the typical range for AI/ML roles (median ~$188,000).
- Pays more than 79% of the 3270 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- Is the Member of Technical Staff, Inference role remote?
- It's hybrid — Inferact expects some on-site time in San Francisco.
- What's the salary range?
- Inferact lists $200,000–$400,000 for this role.
- Where is the role based?
- Inferact is hiring for this position in San Francisco.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: PyTorch, Python, SGLang, TGI, TensorRT-LLM, vLLM.
- Does Inferact sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- What seniority level is this role?
- Inferact targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Member of Technical Staff, Inference role at Inferact.
From the original posting
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.
Skills and Qualifications
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.