Skip to main content
New ReleaseIntelliForceAI 2.0 Autonomous AI Platform is now live.Explore Platform
IntelliForceAI
Join IntelliForceAI

Shape the Future of Autonomous Enterprise AI

Work alongside world-class AI researchers and distributed systems engineers building self-governing multi-agent platforms.

Perks & Benefits

Designed for High Performance & Well-Being

Top-Tier Health & Wellness

Comprehensive 100% employer-covered medical, dental, and vision insurance for employees and dependents.

Competitive Equity & Salary

Generous equity packages with early exercise options and top-percentile global benchmark compensation.

100% Remote-First Flexibility

Work from anywhere in the world with flexible hours, home office stipends, and co-working allowances.

Unlimited Hardware Budget

Access to dedicated NVIDIA H100/A100 GPU clusters, top-spec MacBooks, and hardware customization.

Learning & Conference Fund

$5,000 annual budget for attending global AI conferences (NeurIPS, ICML, CVPR) and academic courses.

Unlimited Paid Time Off

Flexible time off with a mandatory 4-week annual minimum to ensure sustainable peak performance.

Culture & Philosophy

Zero Micromanagement. Maximum Autonomy.

We believe exceptional engineers and researchers perform best when empowered with complete ownership over complex problems.

Autonomous Ownership & Zero Micromanagement
Peer-Driven Research Excellence
Open-Source First Philosophy
Zero Server & Static Web Engineering

Remote-First Worldwide

Hire & Work Anywhere

Whether you live in San Francisco, London, Tokyo, or anywhere else in between, IntelliForceAI supports asynchronous global collaboration with flexible working hours.

Transparent Process

Our 4-Step Hiring Process

01

Application & Resume Review

Submit your portfolio or GitHub profile. Our team reviews submissions within 48 hours.

02

Technical Deep Dive

A 60-minute technical discussion with a senior engineer focused on real-world system architecture.

03

System Design & Code Challenge

Collaborative coding session building a distributed channel or model quantization pipeline.

04

Founder Call & Offer

Final alignment chat with our co-founders followed by a transparent, competitive offer package.

Open Roles

Explore Open Engineering & Research Positions

Filter opportunities by department, preferred work location, or experience level.

Engineering
Staff

Staff Rust & CUDA Systems Engineer

Remote - Worldwide
Full-Time

Architect high-throughput multi-agent IPC channels and custom CUDA kernels for zero-copy memory pipelines.

Key Prerequisites:
5+ years Rust experience
CUDA C/C++ kernel optimization
Lock-free concurrency patterns
AI Research
Lead

Lead Multi-Agent AI Research Scientist

San Francisco, CA
Full-Time

Pioneer emergent cooperation algorithms, reinforcement learning swarms, and autonomous agent reasoning frameworks.

Key Prerequisites:
Ph.D. in CS/AI or equivalent
Track record of NeurIPS/ICML publications
PyTorch / JAX mastery
Engineering
Senior

Senior Static Web & Next.js Engineer

Remote - Worldwide
Full-Time

Engineer static export Next.js App Router platforms with zero-flicker theme engines and Framer Motion UI systems.

Key Prerequisites:
4+ years Next.js & React
Tailwind CSS & Design Tokens
Static Export (`output: export`) experience
Security
Senior

Senior eBPF Cybersecurity Engineer

Boston, MA
Full-Time

Build Linux kernel eBPF probes for real-time model isolation and zero-trust threat mitigation.

Key Prerequisites:
eBPF / C kernel programming
Zero-trust network architecture
Linux kernel internals
Product
Staff

Principal Product Manager - AI Platform

London, UK
Full-Time

Define product roadmap for enterprise multi-agent OS, SDK tools, and developer documentation ecosystems.

Key Prerequisites:
5+ years AI/Cloud PM
Developer SDK product experience
Strong technical background
AI Research
Entry / Intern

AI Research Fellow / PhD Intern (Fall 2026)

Remote - Worldwide
Internship

3-to-6 month paid research fellowship focusing on neural voice synthesis, INT4 quantization, or LoRA-PEFT tuning.

Key Prerequisites:
Enrolled in Ph.D. or Master program in CS/AI
Strong PyTorch coding skills