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73 matches
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Inferact

Engineering Manager

today
Inferact · San Francisco, CA
$200k–400kOn-siteFull-timevLLM · SGLang
Inferact

Inference Engineering, Co-op

today
Inferact · San Francisco, CA
On-siteFull-timePython · C++
Inferact

Member of Technical Staff, Inference

today
Inferact · Remote
RemoteFull-timePython · PyTorch
Inferact

Member of Technical Staff, Forward Deployed Engineer

today
Inferact · San Francisco, CA
$200k–400kOn-siteFull-timePython · Go
Inferact

Member of Technical Staff, Inference

today
Inferact · San Francisco, CA
$200k–400kOn-siteFull-timePython · PyTorch
Inferact

Member of Technical Staff, Developer Relations

today
Inferact · San Francisco, CA
$200k–400kOn-siteFull-timevLLM · SGLang
Outset

Research Engineer

today
Outset · San Francisco, CA
$200k–240kHybridFull-timePython · SQL
Reducto

Machine Learning Infrastructure Tech Lead

today
Reducto · San Francisco, CA
$200k–325kOn-siteFull-timePython · CUDA
Designworks Talent

Staff Inference Engineer

today
Designworks Talent · Bellevue, WA
HybridFull-timevLLM · SGLang
Designworks Talent

Applied Researcher – AI Expert

today
Designworks Talent · Bellevue, WA
HybridFull-timevLLM · SGLang
Designworks Talent

Senior Inference Engineer

today
Designworks Talent · Bellevue, WA
HybridFull-timevLLM · SGLang
d-Matrix

Senior Staff Inference Performance Engineer

today
d-Matrix · Santa Clara, CA
$175k–265kHybridFull-timeKubernetes · Python
d-Matrix

Senior Staff LLM Inference Engineer

today
d-Matrix · Santa Clara, CA
$195k–285kOn-siteFull-timePython · C++
d-Matrix

Principal System Software Engineer, AI Inference Execution

today
d-Matrix · Santa Clara, CA
$195k–285kHybridFull-timeC++ · Python
Ema

AI Resident

today
Ema · San Francisco, CA
$48k–48kHybridFull-timePython · PyTorch
Modal

Member of Technical Staff - Research, Inference

today
Modal · New York, NY
$150k–350kOn-siteFull-timeSGLang · FlashAttention
Modal

Forward Deployed Engineer - ML

today
Modal · New York, NY
$180k–250kOn-siteFull-timevLLM · SGLang
Reflection

Forward Deployed Engineer - Public Sector

today
Reflection · New York, NY
On-siteFull-timePython · Kubernetes
Reflection

Forward Deployed Engineer

today
Reflection · New York, NY
On-siteFull-timePython · Kubernetes
Rhoda AI

Senior Inference Optimization ML Engineer

today
Rhoda AI · Mountain View, CA
On-siteFull-timePyTorch · ROCm
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  • Inferact

    Engineering Manager

    Inferact · 🇺🇸 San Francisco, CA · posted today
    ApplyFull posting

    Extracted from the posting

    Base
    $200,000 – $400,000
    Remote
    In-office, San Francisco, California
    Eng team
    Requires 10+ reports (current team size not stated)
    Visa
    Sponsors visas case-by-case
    Stack
    vLLM, SGLang, PyTorch, CUDA

    TL;DR

    Engineering Manager to lead a senior-heavy team working on AI inference systems, performance, kernels, accelerators, and cloud infrastructure at Inferact. Owns team execution, hiring, coaching, prioritization, and operating rhythm while staying close to technical work. Requires 2+ years of management experience with 10+ reports; preferred experience includes vLLM, SGLang, PyTorch, CUDA/Triton, and Kubernetes.

    About Inferact →

    The full posting

    Overview

    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 Engineering Manager to help scale a world-class, senior-heavy engineering organization working at the frontier of AI inference. You will lead a team of exceptional engineers across areas such as inference systems, performance, kernels, accelerators, and cloud infrastructure while creating the management capacity required for Inferact to keep growing quickly without sacrificing technical quality or execution speed.

    This is a deeply technical management role. You will own team execution, hiring, coaching, prioritization, and operating rhythm, while staying close enough to the work to earn the trust of engineers solving hard systems problems. You will partner closely with engineering and company leadership to turn company priorities into clear technical direction, remove blockers, improve how the team works, and help every engineer do the highest-leverage work of their career.

    Skills and Qualifications

    Minimum qualifications:

    • Bachelor's degree or equivalent experience in computer science, engineering, or similar.
    • Demonstrated experience managing strong software engineers in technically demanding systems, infrastructure, ML systems, distributed systems, or performance-oriented environments.
    • Strong technical credibility with the ability to understand architecture, ask useful questions, challenge assumptions, and help unblock senior engineers without becoming a bottleneck or overriding domain experts.
    • Experience owning the full people-management lifecycle, including hiring, onboarding, 1:1s, feedback, performance management, career development, team health, and retention.
    • Ability to translate ambiguous company priorities into clear team goals, sequencing, ownership, and execution plans while maintaining urgency in a fast-changing startup environment.
    • Track record of building effective engineering operating rhythms around planning, decision-making, technical reviews, cross-team coordination, and accountability without creating unnecessary process.
    • Strong judgment about when to dive into a technical problem, when to delegate, and how to create leverage for senior engineers rather than competing with them for ownership.
    • 2+ years of management experience with 10+ reports.

    Preferred qualifications:

    • Experience leading teams working on AI / ML infrastructure, model serving, distributed systems, GPU infrastructure, compilers, performance engineering, cloud infrastructure, or developer platforms.
    • Experience managing senior, staff, principal, research-adjacent, or PhD engineers in an environment where technical credibility and autonomy are especially important.
    • Experience scaling an engineering team through rapid hiring, including interviewer calibration, hiring decisions, onboarding systems, and thoughtful team design.
    • Familiarity with inference systems and adjacent technologies such as vLLM, SGLang, PyTorch, CUDA / Triton, Kubernetes, distributed serving, or accelerator infrastructure.
    • Experience partnering closely with founders or engineering executives in an early-stage company where priorities, team boundaries, and organizational needs evolve quickly.

    Bonus points if you have:

    • Built or scaled a small, unusually high-talent engineering team where the technical surface area was specialized and the quality bar was extremely high.
    • Previously remained hands-on as an engineer or technical lead before moving into management and can still reason credibly about complex production systems.
    • Managed teams spanning multiple technical specialties, geographies, or time zones while preserving strong ownership and communication.
    • Helped establish engineering management practices from an early stage rather than inheriting a mature management system.
    • Contributed to open-source infrastructure, AI systems, developer tools, or technically ambitious products used by external engineers.

    Logistics

    • Location: This role is based in San Francisco, California and is in-office.
    • 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.

    Inferact, Inc. is an E-Verify company, and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.